NSIDC User Services.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G02199_1",
+ "title": "Dust Count Observations March 1933 - August 1933 in College-Fairbanks, AK, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1933-03-23",
+ "end_date": "1933-08-29",
+ "bbox": "-147.9, 64.8, -147.8, 64.9",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386246287-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386246287-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/G02199_1",
+ "description": "These data are daily dust count observations taken in College-Fairbanks, Alaska from 23 March 1933 to 29 August 1933. The data are part of a larger collection titled \"Second International Polar Year Records, 1931-1936, Department of Terrestrial Magnetism, Carnegie Institute of Washington.\" Within this larger collection, the data are identified as \"Series 1: College-Fairbanks IPY Station Records and Data, 1932-1934: Subseries C: Auroral and Meteorological Records and Data, 1932-1933: Dust Count Observations, March 1933 - August 1933.\" The data are provided in a PDF copy of the handwritten entries (Dust_Count_Observations_March1933_to_August1933.pdf). Two supporting files are also included in this data set. The first is a copy of the handwritten data transcribed to a Microsoft Excel spreadsheet (Dust_Count_Observations_March1933_to_August1933.xls). The second is a PDF document that explains the larger collection (DTM_Collection_Description.pdf). The entries were recorded using an Aitken Dust Counter. Each entry includes up to 10 counts per day with measurements of wind, clouds, and visibility. The handwritten copy has the most complete data, as some of the handwritten notes were not transcribed into the computer spreadsheet. For example, handwritten notes concerning problems with the counter itself were not transcribed into the computer spreadsheet. The data are available via FTP. NOAA@NSIDC believes these data to be of value but is unable to provide documentation. If you have information about this data set that others would find useful, please contact NSIDC User Services.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G02203_1",
+ "title": "Arctic Sea Ice Charts from Danish Meteorological Institute, 1893 - 1956, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1893-04-01",
+ "end_date": "1956-08-31",
+ "bbox": "-180, 55, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206533-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206533-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/G02203_1",
+ "description": "These charts, created by the Danish Meteorological Institute (DMI), provide observed and inferred sea ice extent for each summer month from 1893 to 1956. From 1893 to 1956, the Danish Meteorological Institute (DMI) created charts of observed and inferred sea ice extent for each summer month. These charts are based on compiled observations of ice conditions reported by a variable network of national organizations, shore-based observers, scientific expeditions, and ships as detailed in each report; in cases where no observations were available, the lead mapmakers extrapolated further ice cover using their knowledge of ice movement. Except for where direct observations are indicated, caution is advised in using the charts\u2019 ice edge because there is no way to quantify the assumptions used in extrapolating ice edge or the error involved in this method. See the note on reliability for further discussion of potential error. The charts were scanned at the Icelandic Meteorological Office (IMO) and are being made available here as a service and in cooperation with DMI and other contributors. In all, there are 266 image files containing 291 images.
For a gridded data set derived from this product, see the Arctic Sea Ice Concentration and Extent from Danish Meteorological Institute Sea Ice Charts, 1901-1956data set
",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10002_1",
+ "title": "Glacier Mass Balance and Regime Measurements and Analysis, 1945-2003, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1945-01-01",
+ "end_date": "2003-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386246291-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386246291-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBjb3ZlcmVkIGFyZWEgZm9yIHRoZSBzdGF0ZSBvZiBhbGFza2EsIDE5ODUtMjAyMCwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMTAwNDBcIixcIjFcIiwyMjQ1MjY2MzIzLDcwXSIsInVtbSI6IltcImdsYWNpZXIgY292ZXJlZCBhcmVhIGZvciB0aGUgc3RhdGUgb2YgYWxhc2thLCAxOTg1LTIwMjAsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzEwMDQwXCIsXCIxXCIsMjI0NTI2NjMyMyw3MF0ifQ%3D%3D/G10002_1",
+ "description": "This data set consists of glacier regime parameters observed between 1945 and 2003. Data include annual mass balances, ablation, accumulation, and equilibrium-line altitude of mountain and subpolar glaciers outside the two major ice sheets. All available sources of information, such as publications, archived data, and personal communications have been collected, and include time series of more than 300 glaciers. Data have been digitized and quality checked.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10004_1",
+ "title": "Greenland Snow Pit and Core Stratigraphy (Analog and Digital Formats), Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1911-01-01",
+ "end_date": "1981-12-31",
+ "bbox": "-69, 69, -38, 78",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206538-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206538-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIiwidW1tIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIn0%3D/G10004_1",
+ "description": "This data set is comprised of scientific field study notebooks from geologist Carl S. Benson describing his traverses of Greenland from 1952 to 1955. The notebooks contain data on Greenland snow accumulation, snow temperature, stratigrapy, ice sheet facies, and snow densification. Dr. Benson's notebooks also include a supplementary 1956 snow accumulation study done by the U.S. Air Force. The notebooks have been scanned and put into PDF format. In addition, a compendium of Greenland snow accumulation data, compiled by Dr. Benson in 1986, is included that spans 1911 to 1981. It is in ASCII text format. During a four-year period from 1952 through 1955, Carl Benson, along with many other individuals and several other organizations, dug and studied 146 snow pits and made 288 supplementary snow hardness profiles with a ramsonde instrument along a 1100 mile traverse in Northwest Greenland (Benson 1962). For each exposed pit, temperature, density, ram hardness, and grain size were measured. The data in the notebooks include a listing of all pit locations, a summary matrix of data collected at each station; accumulation data adjusted for Fall 1954 and Fall 1955 reference horizons; average accumulation for all stations; integrated ram hardness (snow density); descriptive stratigraphy, pit profile temperature and density; and pit and core temperature, density, ram hardness, and stratigraphy for each location. Benson's notebooks for 1952 through 1954 were scanned at NSIDC and are available via FTP. As of January 2013, the 1955 notebooks have not been digitized.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10007_1",
+ "title": "Arctic Sea Ice Concentration and Extent from Danish Meteorological Institute Sea Ice Charts, 1901-1956, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1901-04-01",
+ "end_date": "1956-08-31",
+ "bbox": "-180, 55, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206542-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206542-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/G10007_1",
+ "description": "This data set provides estimates of Arctic sea ice extent and concentration from 1901 to 1956 created from a collection of historic, hand-drawn sea ice charts from the Danish Meteorological Institute (DMI). These were used to create estimates for each summer month from 1901 to 1956 by manual, subjective interpretation of scanned versions of the charts. These estimates, shown in colored-coded fields, are available as GIS shapefiles, gridded NetCDF files, and browse image files.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10008_1",
+ "title": "ClimoBase: Rouse Canadian Surface Observations of Weather, Climate, and Hydrological Variables, 1984-1998, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1984-05-14",
+ "end_date": "1998-12-31",
+ "bbox": "-133.505278, 58.133333, -93.816667, 68.736944",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206543-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206543-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/G10008_1",
+ "description": "ClimoBase is a collection of surface climate measurements collected in Northern Canada by Dr. Wayne Rouse between 1984 and 1998 in three locations: Churchill, Manitoba; Marantz Lake, Manitoba; and Inuvik, Northwest Territories. These data are comprised of surface-climate measurements, including solar time, wind speed, wind direction, dry-bulb, wet-bulb, and vapor pressure in 24 sites focused at the three Northern Canadian locations. The sites were chosen to include a variety of terrains in the study: sedge fen wetland, willow-birch wetland, lichen-heath, bedrock boulders/heath, spruce- tamarack forest, tundra lake, creek, various (e.g. a basin: sedge, willow, lichen-heath, forest, etc.), sparse vegetation (short grass/sedge, heath spp.), and coastal marsh (tall grass, sandy soils). The measurements were taken in increments ranging from seasonally to every 15 minutes. In all, 177 different variables were measured and recorded. The data are valuable due to their unique and consistent nature.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10010_2",
+ "title": "Gridded Monthly Sea Ice Extent and Concentration, 1850 Onward, Version 2",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1850-01-01",
+ "end_date": "2017-12-31",
+ "bbox": "-180, 30.1, 180, 89.9",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1632006975-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1632006975-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIiwidW1tIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIn0%3D/G10010_2",
+ "description": "Observations from historical sources are the basis of this monthly gridded sea ice concentration product that begins in 1850. In 1979, these sources give way to a single source: concentration from satellite passive microwave data. The historical observations come in many forms: ship observations, compilations by naval oceanographers, analyses by national ice services, and others. Monthly sea ice concentration is given in a 1/4 degree latitude by 1/4 degree longitude grid. In addition to the concentration array, for each month a corresponding source array indicates where each of 16 possible sources is used. The file of concentration and source arrays conforms to NetCDF-4 standards.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10021_1",
+ "title": "Daily Gridded North American Snow, Temperature, and Precipitation, 1959-2009, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1959-09-01",
+ "end_date": "2009-12-31",
+ "bbox": "-166.5, 25.5, -53.5, 82.5",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1526585432-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1526585432-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/G10021_1",
+ "description": "These data provide daily snow, temperature, and precipitation data for North America from 1959 to 2009. They are gridded to a 1-degree latitude by 1-degree longitude resolution to create a 114 x 58 grid for each day of data.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10027_1",
+ "title": "Contribution to High Asia Runoff from Ice and Snow (CHARIS) Melt Model Output, 2001 - 2014, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2001-01-01",
+ "end_date": "2014-12-31",
+ "bbox": "68.9, 26, 93, 43.3",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1676848754-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1676848754-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/G10027_1",
+ "description": "This data set contains input and output data for temperature index (TI) model runs completed for the Contributions to High Asia Runoff from Ice and Snow (CHARIS) project at NSIDC in 2018 and 2019. The input data are the area of snow on land, snow on ice, and exposed glacier ice as well as surface air temperature. These inputs are used to model the volumes of melt runoff from the snow on land, snow on ice, and exposed glacier ice in certain areas of High Mountain Asia.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10029_1",
+ "title": "Daily Great Lakes Ice Concentration, 1973 Onward, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1972-12-20",
+ "end_date": "2023-05-21",
+ "bbox": "-92.42, 38.86, -75.86, 50.6",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1712034199-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1712034199-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/G10029_1",
+ "description": "This data set consists of daily gridded lake ice concentration for the Laurentian Great Lakes from the NOAA Great Lakes Environmental Research Laboratory (GLERL). The data are provided as gridded ASCII text files and shapefiles along with corresponding browse image files in .jpg format.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10030_1",
+ "title": "Arctic Sea State 2015 Field Campaign, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2015-10-01",
+ "end_date": "2015-11-07",
+ "bbox": "-168.49, 62.76, -148.53, 75.48",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2109756241-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2109756241-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/G10030_1",
+ "description": "The U.S. Office of Naval Research (ONR) Sea State Departmental Research Initiative (DRI) field campaign was conducted during autumn of 2015 in the Beaufort Sea in order to better understand how waves and ice interact as Arctic ice advances in late autumn. Data collection took place under four sampling modes: wave experiments, ice stations, flux stations, and ship surveys. This data set provides curated data from this field campaign in NetCDF data files.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10040_1",
+ "title": "Glacier Covered Area for the State of Alaska, 1985-2020, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1985-01-01",
+ "end_date": "2020-12-31",
+ "bbox": "-167, 53, -130, 69",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2245266323-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2245266323-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/G10040_1",
+ "description": "This data set captures changes in glacier covered area across the state of Alaska for the period 1985 to 2020.The data set includes 18 biannual shapefiles each for overall glacier covered area, supraglacial debris area, and debris-free glacier covered area.",
+ "license": "proprietary"
+ },
+ {
+ "id": "G10042_1",
+ "title": "Arctic Ice Dynamics Joint Experiment (AIDJEX) Second Pilot Study, March - May 1972: Still Images, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1972-03-01",
+ "end_date": "1972-05-31",
+ "bbox": "-165, 72, -125, 80",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2747978314-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2747978314-NSIDCV0.html",
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+ "description": "This data set contains photographs of camps on drifting sea ice from the early 1970s along with a few aerial photographs of the drifting ice station T-3. Most of the photos were taken during a pilot study conducted in 1972 in preparation for the AIDJEX main experiment of 1975 to 1976. There are 83 photos in JPEG format with captions available for 60 of them, which are listed in an accompanying Excel (.xlsx) file. The photos were taken by Tom Marlar of the U.S. Army Cold Regions Research and Engineering Laboratory (CRREL). Pat Martin took the aerial photographs. The pilot study included a main camp on drifting sea ice in the Beaufort Sea north of Alaska along with two satellite camps forming a station triangle with a 100 km side length. Additional details on the AIDJEX experiment can be found on the NOAA@NSIDC AIDJEX web site. Also, a detailed description of the observational program and a running account of the results can be found in the AIDJEX Bulletin series published between 1970 and the end of the project in 1978. The Polar Science Center at the University of Washington maintains an AIDJEX electronic library at http://psc.apl.washington.edu/nonwp_projects/aidjex/. It includes downloadable copies of the contents of all 40 AIDJEX Bulletins, AIDJEX Operations Manuals for the Pilot Study and the Main Experiment, and other resources. These photographs existed as 8\u201d x 10\u201d prints in the analog collection of material at NSIDC, and were scanned under the direction of the NSIDC archivist around 2007. The captions come from text that was written on the prints. Some captions may have been added to at a later date. At least four of the photographs are not from AIDJEX, but are aerial photographs of Fletcher\u2019s Ice Island, or T-3. In 1972, when the AIDJEX pilot study was taking place in the Beaufort Sea, T-3 was north of the Canadian Archipelago and on its way East, as explained in the caption for AIDJEX_1972_002.jpg. According to the captions, the T-3 photos were taken in 1974. We believe that these photographs, like other aerial shots, were taken by Pat Martin, and included with other 8\u201d x 10\u201d prints that may have been sent to NSIDC by personnel at CRREL. The track of T-3, as well as data from T-3 and other drifting ice stations, can be found on the EWG Arctic Meteorology and Climate Atlas",
+ "license": "proprietary"
+ },
{
"id": "G18-ABI-L2P-ACSPO-v2.90_2.90",
"title": "GHRSST L2P NOAA/ACSPO GOES-18/ABI West America Region Sea Surface Temperature v2.90 dataset",
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"description": "The data provided are annual land cover projections for years 2005 through 2095 generated by the Global Change Assessment Model (GCAM) Version 3.1. For the conterminous USA, the GCAM global gridded results were downscaled to ~5.6 km (0.05 degree) resolution. For each 5.6 x 5.6 km area, the annual land cover percentage comprised by each of the nineteen different land cover classes/plant functional types (PFTs) of the Community Land Model (CLM) (Table 1) are provided.Results are reported for GCAM runs of three scenarios of future human efforts towards climate mitigation as related to global carbon emissions, radiative forcing, and land cover change. Specific scenario conditions were 1) a reference scenario with no explicit climate mitigation efforts that reaches a radiative forcing level of over 7 W/m2 in 2100, 2) the 2.6 mitigation pathway (MP) scenario which is a very low emission scenario with a mid-century peak in radiative forcing at ~3 W/m2, declining to 2.6 W/m2 in 2100, and 3) the 4.5 MP scenario which stabilizes radiative forcing at 4.5 W/m2 (~ 650 ppm CO2-equivalent) before 2100.These downscaled land cover projections can be used to derive spatially explicit estimates of potential shifts in croplands, grasslands, shrub lands, and forest lands in each future climate scenario.Data are presented as three NetCDF v4 files (.nc4), one for each future climate scenario -- 2.6 MP, 4.5 MP, and GCAM reference). ",
"license": "proprietary"
},
@@ -77878,7 +78489,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2408633818-ORNL_CLOUD.html",
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"description": "This dataset contains four alternative digital elevation models (DEMs) at 1 m resolution and model performance statistical metrics for the Global Change Research Wetland (GCReW) site on the Rhode River, a tributary of the Chesapeake Bay in Maryland, USA, for the year 2016. Three DEMs were created by using different strategies for correcting positive biases in Light Detection and Ranging (LiDAR)-based DEMs that are common in tidal wetlands. These included (1) applying a single average offset based on a literature review, (2) using the LiDAR Elevation Correction with NDVI (LEAN)-method, and (3) applying plant community-specific offsets using a local vegetation cover map. Existing LiDAR data at 1 m resolution collected in 2011 was the basis for these DEMs. The fourth DEM was created by using Empirical Bayesian Kriging to extrapolate between measured ground points. The elevation is provided in meters relative to the North American Vertical Datum of 1988 (NAVD 88). To calibrate the four approaches, the elevation of the entire marsh complex was surveyed at 20 m x 20 m resolution to document the distribution of elevation relative to tidal datums from a single year. Two Trimble R8 real-time kinematic (RTK) GPS receivers were used to survey 525 points over the complex from July 26, 2016, to August 15, 2016. Relative plant cover was also documented. Tidal datums were calculated from the nearby Annapolis, MD tidal gauge located 13 km from GCReW.",
"license": "proprietary"
},
@@ -77956,7 +78567,7 @@
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"description": "This dataset provides eight GEDI forest structure metrics relevant to wildlife habitat modeling and biodiversity assessments at 30-m resolutions across Washington, Oregon, Idaho, Montana, Wyoming, and Colorado. The metrics characterize canopy height, strata densities, and canopy cover. The data were derived using random forest modeling and prediction frameworks. The models created were also hindcasted using 2019 and 2020 GEDI footprints back to 2016 on annual time steps leveraging continuous Landsat spectral and disturbance information, Sentinel-1 backscatter metrics and ratios, topographic information, and bioclimatic variables. Machine learning data fusion approaches were used to scale-up structure information provided by the novel space-borne Global Ecosystems Dynamics Investigation (GEDI) waveform lidar sensor to continuous extents using additional satellite-based continuous earth observation data. GEDI provides a consistent sample of forest structure information at 25-m diameter footprints at near-global extents, providing a valuable source of reference information to drive continuous mapping efforts.",
"license": "proprietary"
},
@@ -77969,7 +78580,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3043630107-ORNL_CLOUD.html",
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"description": "This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the entire vertical profile, based solely on GEDI lidar, and validated with independent data. The GEDI sensor, mounted on the International Space Station (ISS), uses eight laser beams spaced by 60 m along-track and 600 m across-track on the Earth surface to measure ground elevation and vegetation structure between approximately 52 degrees North and South latitude. Between April 17th 2019 and March 16th 2023, GEDI acquired 11 and 7.7 billion quality waveforms suitable for measuring ground elevation and vegetation structure, respectively. This dataset provides GEDI shot metrics aggregated into raster grids at three spatial resolutions: 1 km, 6 km, and 12 km. In addition to many of the standard L2 and L4A shot metrics, several additional metrics have been derived which may be particularly useful for applications in carbon and water cycling processes in earth system models, as well as forest management, biodiversity modeling, and habitat assessment. Variables include canopy height, canopy cover, plant area index, foliage height diversity, and plant area volume density at 5 m strata. Eight statistics are included for each GEDI shot metric: mean, bootstrapped standard error of the mean, median, standard deviation, interquartile range, 95th percentile, Shannon's diversity index, and shot count. Quality shot filtering methodology that aligns with the GEDI L4B Gridded Aboveground Biomass Density, Version 2.1 was used. In comparison to the current GEDI L3 dataset, this dataset provides additional gridded metrics at multiple spatial resolutions and over several temporal periods (annual and the full mission duration). Files are provided in cloud optimized GeoTIFF format.",
"license": "proprietary"
},
@@ -77982,7 +78593,7 @@
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"description": "This dataset provides global rasters of relative height metrics for vegetation from Global Ecosystem Dynamics Investigation (GEDI) L2A data and Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) L3A ATL08 data at 100-, 200-, 500-, and 1000-m spatial resolutions. The metrics include the relative heights RH98, RH90, RH75, and RH50, corresponding to the height at which the respective 98th, 90th, 75th, and 50th percentile of returned energy is reached relative to the ground. These metrics provide measures of vegetation canopy height and structure. The different relative height metrics were intercalibrated over the overlap area (50 - 52 degrees N). GEDI data were collected from 2019-2022, and ICESat2 data were from 2019-2021. The data are provided in cloud optimized GeoTIFF format.",
"license": "proprietary"
},
@@ -77995,7 +78606,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153683336-ORNL_CLOUD.html",
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"description": "This dataset provides Global Ecosystem Dynamics Investigation (GEDI) Level 3 (L3) gridded mean canopy height, standard deviation of canopy height, mean ground elevation, standard deviation of ground elevation, and counts of laser footprints per 1-km x 1-km grid cells globally within -52 and 52 degrees latitude. These L3 gridded products were derived from Level 2 (L2) geolocated laser footprint return profile metrics from the GEDI instrument onboard the International Space Station (ISS). Canopy height is provided as the mean height (in meters) above the ground of the received waveform signal that was the first reflection off the top of the canopy (RH100). Ground elevation is provided as the mean elevation (in meters) of the center of the lowest waveform mode relative to the WGS84 reference ellipsoid. L3 gridded products can be used to characterize important carbon and water cycling processes, biodiversity, habitat and can also be of immense value for climate modeling, forest management, snow and glacier monitoring, and the generation of digital elevation models. This dataset version uses Version 2 of the input L2 data, which includes improved geolocation of the footprints as well as a modified method to predict an optimum algorithm setting group.",
"license": "proprietary"
},
@@ -78008,7 +78619,7 @@
"bbox": "-180, -52.2, 180, 52.46",
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"description": "This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footprint. The footprints are located within the global latitude band observed by the International Space Station (ISS), nominally 51.6 degrees N and S and reported for the mission weeks 19, 32, 34 and 38 (a.k.a. Golden Weeks). These weeks cover the range of instrument operating conditions important for calibration and validation of geolocation algorithms, and also include GEDI orbits that are coincident with underflights acquired by the LVIS (Land, Vegetation, and Ice Sensor) airborne lidar instrument. The GEDI instrument consists of three lasers producing a total of eight beam ground transects, which instantaneously sample eight ~25 m footprints spaced approximately every 60 m along-track. The GEDI beam transects are spaced approximately 600 m apart on the Earth's surface in the cross-track direction, for an across-track width of ~4.2 km. Footprint AGBD was derived from parametric models that relate simulated GEDI Level 2A (L2A) waveform relative height (RH) metrics to field plot estimates of AGBD. Height metrics from simulated waveforms associated with field estimates of AGBD from multiple regions and plant functional types (PFT) were compiled to generate a calibration dataset for models representing the combinations of world regions and PFTs (i.e., deciduous broadleaf trees, evergreen broadleaf trees, evergreen needleleaf trees, deciduous needleleaf trees, and the combination of grasslands, shrubs, and woodlands).",
"license": "proprietary"
},
@@ -78021,7 +78632,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2237824918-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2237824918-ORNL_CLOUD.html",
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"description": "This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) Version 2 predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footprint. In this version, the granules are in sub-orbits. The algorithm setting group selection used for GEDI02_A Version 2 has been modified for Evergreen Broadleaf Trees in South America to reduce false positive errors resulting from the selection of waveform modes above ground elevation as the lowest mode. The footprints are located within the global latitude band observed by the International Space Station (ISS), nominally 51.6 degrees N and S and reported for the period 2019-04-18 to 2023-03-16. The GEDI instrument consists of three lasers producing a total of eight beam ground transects, which instantaneously sample eight ~25 m footprints spaced approximately every 60 m along-track. The GEDI beam transects are spaced approximately 600 m apart on the Earth's surface in the cross-track direction, for an across-track width of ~4.2 km. Footprint AGBD was derived from parametric models that relate simulated GEDI Level 2A (L2A) waveform relative height (RH) metrics to field plot estimates of AGBD. Height metrics from simulated waveforms associated with field estimates of AGBD from multiple regions and plant functional types (PFTs) were compiled to generate a calibration dataset for models representing the combinations of world regions and PFTs (i.e., deciduous broadleaf trees, evergreen broadleaf trees, evergreen needleleaf trees, deciduous needleleaf trees, and the combination of grasslands, shrubs, and woodlands). For each of the eight beams, additional data are reported with the AGBD estimates, including the associated uncertainty metrics, quality flags, model inputs, and other information about the GEDI L2A waveform for this selected algorithm setting group. Model inputs include the scaled and transformed GEDI L2A RH metrics, footprint geolocation variables and land cover input data including PFTs and the world region identifiers. Additional model outputs include the AGBD predictions for each of the six GEDI L2A algorithm setting groups with AGBD in natural and transformed units and associated prediction uncertainty for each GEDI L2A algorithm setting group. Providing these ancillary data products will allow users to evaluate and select alternative algorithm setting groups. Also provided are outputs of parameters and variables from the L4A models used to generate AGBD predictions that are required as input to the GEDI04_B algorithm to generate 1-km gridded products.",
"license": "proprietary"
},
@@ -78034,7 +78645,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813390180-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813390180-ORNL_CLOUD.html",
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+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZm9yZXN0IGJpb3BoeXNpY2FsIHBhcmFtZXRlcnMgKHNuZilcIixcIk9STkxfQ0xPVURcIixcIlNORl9CSU9QSFlTXzE0MlwiLFwiMVwiLDI4ODQ5NzE5OTgsMl0iLCJ1bW0iOiJbXCJmb3Jlc3QgYmlvcGh5c2ljYWwgcGFyYW1ldGVycyAoc25mKVwiLFwiT1JOTF9DTE9VRFwiLFwiU05GX0JJT1BIWVNfMTQyXCIsXCIxXCIsMjg4NDk3MTk5OCwyXSJ9/GEDI_L4B_Country_Biomass_2321_1",
"description": "This dataset provides country-level estimates of land surface mean aboveground biomass density (AGBD), total aboveground biomass (AGB) stocks, and the associated standard errors of the mean calculated using different versions of the Global Ecosystem Dynamics Investigation (GEDI) Level-4B (L4B) product. The GEDI L4B product provides gridded (1 km x 1 km) estimates of AGBD within the GEDI orbital extent (between 51.6 degrees N and 51.6 degrees S). For comparison purposes, this dataset also includes national-scale National Forest Inventory (NFI) estimates of AGBD from the 2020 Global Forest Resources Assessment (FRA) published by the Food and Agriculture Organization (FAO, 2020) of the United Nations.The GEDI instrument produces high-resolution laser ranging observations of the 3-dimensional structure of the Earth's surface. GEDI was launched on December 5, 2018, and is attached to the International Space Station (ISS). The GEDI instrument consists of three lasers producing a total of eight beam ground transects, which consist of ~25 m footprint samples spaced approximately every 60 m along-track. The GEDI beam transects are spaced approximately 600 m apart on the Earth's surface in the cross-track direction, for an across-track width of ~4.2 km. The data are provided in comma-separated value (CSV) format.",
"license": "proprietary"
},
@@ -78047,7 +78658,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2792577683-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2792577683-ORNL_CLOUD.html",
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"description": "This Global Ecosystem Dynamics Investigation (GEDI) L4B product provides 1 km x 1 km (1 km, hereafter) estimates of mean aboveground biomass density (AGBD) based on observations from mission week 19 starting on 2019-04-18 to mission week 223 ending on 2023-03-16. The GEDI L4A Footprint Biomass product converts each high-quality waveform to an AGBD prediction, and the L4B product uses the sample present within the borders of each 1 km cell to statistically infer mean AGBD. The gridding procedure is described in the GEDI L4B Algorithm Theoretical Basis Document (ATBD). Patterson et al. (2019) describes the hybrid model-based mode of inference used in the L4B product. Corresponding 1 km estimates of the standard error of the mean are also provided in the L4B product. Uncertainty is due to both GEDI's sampling of the 1 km area (as opposed to making wall-to-wall observations) and the fact that L4A biomass values are modeled in a process subject to error instead of measured in a process that may be assumed to be error-free.",
"license": "proprietary"
},
@@ -78060,7 +78671,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C3049900163-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3049900163-ORNL_CLOUD.html",
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+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZm9yZXN0IGJpb3BoeXNpY2FsIHBhcmFtZXRlcnMgKHNuZilcIixcIk9STkxfQ0xPVURcIixcIlNORl9CSU9QSFlTXzE0MlwiLFwiMVwiLDI4ODQ5NzE5OTgsMl0iLCJ1bW0iOiJbXCJmb3Jlc3QgYmlvcGh5c2ljYWwgcGFyYW1ldGVycyAoc25mKVwiLFwiT1JOTF9DTE9VRFwiLFwiU05GX0JJT1BIWVNfMTQyXCIsXCIxXCIsMjg4NDk3MTk5OCwyXSJ9/GEDI_L4C_WSCI_2338_2",
"description": "This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4C (L4C) Version 2 predictions of the Waveform Structural Complexity Index (WSCI) and estimates of prediction intervals for each footprint estimate at 95% confidence. In this version, the granules are in sub-orbits. The algorithm setting group selection used for GEDI04_C is the same as in the GEDI02_A product. The footprints are located within the global latitude band observed by the International Space Station (ISS), nominally 51.6 degrees N and S and reported for the period 2019-04-17 to 2023-03-16. The GEDI instrument consists of three lasers producing a total of eight beam ground transects, which instantaneously sample eight ~25 m footprints spaced approximately every 60 m along-track. The GEDI beam transects are spaced approximately 600 m apart on the Earth's surface in the cross-track direction, for an across-track width of ~4.2 km. Footprint WSCI was derived from XGBoost regression models relating simulated GEDI Level 2A (L2A) waveform relative height (RH) metrics to a 3D structural complexity metric calculated from matched Airborne laser Scanning (ALS) point clouds. Four global WSCI models were trained on a plant functional type (PFT) basis (i.e., deciduous broadleaf trees, evergreen broadleaf trees, evergreen needleleaf trees, and the combination of grasslands, shrubs, and woodlands). For each of the eight beams, additional data are reported with the WSCI estimates, including the associated uncertainty metrics, quality flags, and other information about the GEDI L2A waveform for this selected algorithm setting group. Additional model outputs include WSCI predictions for each of the six GEDI L2A algorithm setting groups and associated prediction intervals. Providing these ancillary data products will allow users to evaluate and select alternative algorithm setting groups. The data are provided in HDF5 format.",
"license": "proprietary"
},
@@ -78844,6 +79455,19 @@
"description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data of the globe for nominal year 2015 at 30 meter resolution. The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30 Validation (GFSAD30VAL) data product provides a thorough and independent accuracy assessment and validation of the cropland extent products produced for each of the seven regions. The accuracy assessment and validation process utilizes a cluster of 3 by 3 pixels of 30 meter data to resample the product to 90 meter resolution. Each GFSAD30VAL shapefile contains information on sample locations, presence of cropland or no cropland, and the zones that were randomly selected for accuracy assessment across the globe.",
"license": "proprietary"
},
+ {
+ "id": "GGD200_1",
+ "title": "Borehole temperatures in deep wells of Western Siberia, Russia, 1960-1995, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1960-01-01",
+ "end_date": "1995-12-31",
+ "bbox": "67, 60, 80, 72",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206546-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206546-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/GGD200_1",
+ "description": "This data set is a database of the permafrost and geothermal conditions of the oil and gas deposits of Western Siberia. Data were taken from 736 plots, each having from one to ten wells. The data set includes soil and rock temperatures at 20, 50, 100, 200, 300, 400, 500, 1000, and 3000 meters; depth of the bedding of the top and bottom of permafrost layers; size of the thermal flows in the subpermafrost; and thickness of frozen layers and underlying thawed layers. Additional information includes the geographical coordinates of the sites, the air temperature, permafrost-geothermal geological sections, maps of thermal flows, and the distribution of the temperatures at each depth (down to 5000 meters). The data are presented on the CAPS Version 1.0 CD-ROM, June 1998.",
+ "license": "proprietary"
+ },
{
"id": "GGD222_1",
"title": "Active layer and permafrost properties, including snow depth, soil temperature, and soil moisture, Barrow, Alaska, Version 1",
@@ -78857,6 +79481,19 @@
"description": "This data set contains soil temperature, soil moisture, thaw depth, and snow depth data collected at test sites near Barrow, Alaska, during the following years. Soil temperature data - 1963-1966, 1993 Soil moisture data - 1963 Thaw depth - 1962-1968, 1991-1993 Snow depth - 1963-1964 This study focused on characterizing the active soil layer at Barrow, and determining the relationships between and among these physical properties at permafrost sites in the Arctic. This site is U1 of the IPA's Circumpolar Active Layer Monitoring (CALM) Program and later measurements are available at the CALM Web site.",
"license": "proprietary"
},
+ {
+ "id": "GGD223_1",
+ "title": "Borehole locations and permafrost depths, Alaska, USA, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1950-01-01",
+ "end_date": "1989-12-31",
+ "bbox": "-165.767, 62.19, -141.15, 71.189",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206551-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206551-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/GGD223_1",
+ "description": "The methods utilized by the U.S. Geological Survey to measure subsurface temperatures have evolved considerably over the years. Although some of the early measurements were obtained using thermistor strings frozen into permafrost, the vast majority of the measurements were made in fluid-filled holes using a custom temperature sensor. A typical sensor used in Alaska prior to 1989 consisted of a series-parallel network of 20 thermistors; see Sass et al. [1971] for a more detailed description. During a logging experiment, the resistance of the thermistor network was determined using a Wheatstone bridge prior to 1967. After that time, a 4-wire resistance measurement was made using a commercial 5.5-digit multimeter (DMM). Before 1984, boreholes were logged in the 'incremental' or 'stop-and-go' modes; the vertical spacing of the measurements was typically 3-15 m. Beginning in 1984, the depth/resistance measurements were automatically stored on magnetic tape, allowing boreholes to be logged in the 'continuous' mode; the typical data spacing for the continuous temperature logs was 0.3 m (1 ft). Many of the Alaskan boreholes were re-logged several times to quantify the thermal disturbance caused by drilling the holes (see Lachenbruch and Brewer [1959]). A review of current temperature measuring techniques used by the USGS in the polar regions is given by Clow et al. [1996]. Data from 1950-1989 are included on the CAPS CD-ROM Version 1.0, June 1998.",
+ "license": "proprietary"
+ },
{
"id": "GGD239_1",
"title": "Active layer physical processes at Broeggerhalvoya, western Spitsbergen, Version 1",
@@ -78896,6 +79533,71 @@
"description": "Snow and soil temperature records for January 1988 - May 1996 are presented. Included are snow depth and weight measurements, snow density (calculated), active layer depth in the frost tubes, weight of wet and dried soil samples from unknown depth within the active layer (water content calculated), and soil temperature at the surface (0.05 cm) and to the depths of 3 to 4 meters at 3 sites. The sites are 1) on a road covered by 1 m of gravel underlain by clay; 2) outside a building on piles, (sensors are placed 1 to 2 m from the building wall); and 3) under the building between piles. In addition, air temperature was measured inside the building or between the piles (documentation is not clear on this point.) There are several gaps in temperature measurements (January 1991 to May 1992). These data are presented on the CAPS CD-ROM version 1.0, June 1998. Air temperature, wind direction, and temperature were measured at 5, 20, 50, 100, 150, and 200 cm below the tundra surface at an undisturbed site; and at 5, 20, 50, 100, 150, 200 cm, and 3 m and 8 m below the concrete surface of a building. Incoming radiation, outgoing radiation, temperature of the heat flux instrument, global radiation, heat flux, wind speed, wind speed maximum, average wind speed, and temperature inside the building were measured since 1993 with data loggers. All data are recorded for July 1987 - February 1996.",
"license": "proprietary"
},
+ {
+ "id": "GGD272_1",
+ "title": "Cryosolic pedons from Russia and Alaska, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1970-01-01",
+ "end_date": "",
+ "bbox": "-149, 62, 161, 69",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206581-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206581-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/GGD272_1",
+ "description": "U.S. pedon data on the CAPS Version 1.0 CD-ROM, June 1998, are a sample of the pedon data contained on a CD-ROM produced by the National Soil Survey Center - Soil Survey Laboratory(NSSC-SSL). The data include recent pedons from analyses for soil characterization and research within the National Cooperative Soil Survey. Less-than-complete characterization data are available for many pedons because only selected measurements were planned or because the planned measurements are not yet complete. This database is dynamic-- data for additional pedons are added as they are sampled and analyzed, other information is updated as pedons are classified, suspect measurements are rerun and replaced, and errors are found and corrected. The data on the NSSC-SSL CD-ROM represent a 'snapshot' of the database. The database includes pedons that represent the central concept of a soil series, pedons that represent the central concept of a map unit but not of a series, and pedons sampled to bracket a range of properties within a series or landscape. Thus, attribute data for some data elements may be incomplete or missing for certain portions of the United States. In instances where data are unavailable, a mask should be used to exclude the area from the analysis. For research purposes, all data are retained in the database. Users unfamiliar with a given soil or set of data may want to consult with a research soil scientist at the National Soil Survey Center. A research soil scientist can be reached by telephone at (402) 437-5006, or by writing the Soil Survey Laboratory Head, National Soil Survey Center, Natural Resources Conservation Service, Federal Building, Room 152, 100 Centennial Mall North, Lincoln, NE 68508-3866 USA. Pedons on the CAPS Version 1.0 CD-ROM cover areas in Russia (60 deg 37 min N to 69 deg 27 min N; 159 deg 07 min E to 161 deg 33 min E) and in Alaska (62 deg to 68 deg N; 135 deg to 149 deg W).",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD311_1",
+ "title": "Cryosolic pedons from Northern Canada, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1975-01-01",
+ "end_date": "1996-12-31",
+ "bbox": "-138.997, 63.942, -64.681, 81.832",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206775-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206775-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/GGD311_1",
+ "description": "Pedons included here represent Cryosolic (permafrost-affected) soils from across the Canadian North from Baffin Island in the east, to the lower Mackenzie Valley and northern Yukon in the west, and to Ellesmere Island in the High Arctic. Pedon locations are Pangnirtung Pass, Baffin Island, N.W.T. (8 pedons); Inuvik area, N.W.T. (2 pedons); Mackenzie Delta, N.W.T. (2 pedons); Tanquary Fiord, Ellesmere Island, N.W.T. (4 pedons); Lake Hazen, Ellesmere Island, N.W.T. (4 pedons); Eagle Plains, northern Yukon (3 pedons); Dawson City area, central Yukon (2 pedons). Cryosolic soils, according to the Canadian soil classification, are either mineral or organic materials that have permafrost either within 1 m of the surface (Static and Organic Cryosols) or within 2 m (Turbic Cryosols) if more than one-third of the pedon has been strongly cryoturbated, as indicated by disrupted, mixed, or broken horizons. They have a mean annual temperature below 0 degree C. In the soil profile descriptions, the perennially frozen (permafrost) soil horizons are identified by the letter 'z'. The descriptions and nomenclature used to describe these pedons are according to - Expert Committee on Soil Survey. 1983. The Canada Soil Information System, Manual for describing soil in the field. Agriculture Canada, Ottawa, Canada. Agriculture Canada Expert Committee on Soil Survey. 1987. The Canadian System of Soil Classification. (2nd ed.) Research Branch, Agriculture Canada, Ottawa, Canada. The methods for laboratory analysis are according to - Sheldrick, B.H. (editor). 1984. Analytical Methods Manual. 1984. Land Resource Research Institute, Agriculture Canada, Ottawa, Canada. Additional information relating to these pedons can be obtain by contacting Charles Tarnocai, Agriculture and Agri-Food Canada, Research Branch (ECORC), K.W. Neatby Building, Rm. 1135, 960 Carling Avenue, OTTAWA, Canada, K1A 0C6; Tel.- (613) 759-1857; Fax- (613) 759-1937; E-mail- tarnocaict@em.agr.ca. The data file on the CAPS Version 1.0 CD-ROM contains laboratory analyses of the soil samples, including chemical, physical, mineralogical (clay mineralogy when applicable), and particle size distribution analyses.",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD316_1",
+ "title": "Catalog of boreholes from Russia and Mongolia, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1980-01-01",
+ "end_date": "1993-12-31",
+ "bbox": "53.383, 46.8, 178.683, 75.583",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206796-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206796-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/GGD316_1",
+ "description": "This catalog of boreholes from across Russia and Mongolia includes those published in papers and monographs as well as other literature of limited circulation. The 122 boreholes were used to derive a characterization of the Russian territory according to eight geocryological regions. Five boreholes are included for Mongolia. Data from these boreholes were used in the generation of the Circum-arctic Map of Permafrost and Ground-Ice Conditions (Brown et al., 1997). Data obtained from various sources as noted within each borehole entry. The time period varies for each borehole, but is primarily from the late 1980s to early 1990s. Observation methods include 'Standard logging', a combined natural gamma logging, electric logging and well caliper logging; 'Geothermal observations' which demonstrate the thickness of layer with the temperature below zero (data of Yakutsk Permafrost Institute, Siberian Branch, Academy of Sciences of the USSR); visual observations on ice-content in the core, and depth of appearance of fresh water table; thermologging of the boreholes (studies of 'PGO Yakutskgeologia'); and electric, well caliper and thermal logging in pioneer and exploratory oil and gas wells ('PGO Lenaneftegasgeologia' studies). The permafrost base is exposed by a number of adjacent boreholes; interval of fluctuations of permafrost depth is shown. The data are presented on the CAPS Version 1.0 CD-ROM, June 1998.",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD318_2",
+ "title": "Circum-Arctic Map of Permafrost and Ground-Ice Conditions, Version 2",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1970-01-01",
+ "end_date": "",
+ "bbox": "-180, 28, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206814-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206814-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/GGD318_2",
+ "description": "The Circum-Arctic permafrost and ground ice map is available via ftp in ESRI Shapefile format and Equal-Area Scalable Earth Grid (EASE-Grid) format. See the Format section for an explanation of the files provided via FTP. The circumpolar permafrost and ground ice data contribute to a unified international data set that depicts the distribution and properties of permafrost and ground ice in the Northern Hemisphere (20\u00b0N to 90\u00b0N). The re-gridded data set shows discontinuous, sporadic, or isolated permafrost boundaries. Permafrost extent is estimated in percent area (90-100 percent, 50-90 percent, 10-50 percent, <10 percent, and no permafrost). Relative abundance of ground ice in the upper 20 m is estimated in percent volume (>20 percent, 10-20 percent, <10 percent, and 0 percent). The data set also contains the location of subsea and relict permafrost. the gridded data are gridded at 12.5 km, 25 km, and 0.5 degree resolution. The shapefiles were derived from the original 1:10,000,000 paper map (Brown et al. 1997) Permafrost, or permanently frozen ground, is ground (soil, sediment, or rock) that remains at or below 0\u00b0C for at least two years (Permafrost Subcommittee, 1988). It occurs both on land and beneath offshore arctic continental shelves, and underlies about 22 percent of the Earth's land surface. For more information on the creation of the original map, see Heginbottom et al. (1993). The original paper map also includes information on the relative abundance of ice wedges, massive ice bodies and Pingos, ranges of permafrost temperature and thickness (Brown et al. 1997).",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD332_1",
+ "title": "Borehole temperatures from mountain permafrost monitoring, Mongolia, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1970-01-01",
+ "end_date": "1996-12-31",
+ "bbox": "98.24, 45.217, 108.29, 51.06",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206833-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206833-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/GGD332_1",
+ "description": "Location and description of some geocryological boreholes in Mongolia. Data include latitude, longitude, location, depth of permafrost top and bottom, and mean annual soil temperature. These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.",
+ "license": "proprietary"
+ },
{
"id": "GGD353_6",
"title": "Active Layer Monitoring, Arctic and Subarctic Canada, Version 6",
@@ -78909,6 +79611,45 @@
"description": "This project involves measuring regional and site variability in maximum annual active layer development and vertical surface movement over permafrost, and monitoring sites over time in order to observe trends. The project records maximum thaw penetration, maximum heave and subsidence, late season snow depths, current depth of thaw, elevation, and soil properties. Some sites are twinned with soil- and air-temperature recording equipment. The project includes about 60 monitoring stations extending from Fort Simpson, Canada, in the upper Mackenzie River valley to the Beaufort Sea coast at North Head, Richards Island, Canada. Ten of the sites are part of the IPA's Circumpolar Active Layer Monitoring (CALM) Program. CALM site numbers are in parentheses after the site names: North Head (C3), Taglu (C4), Lousy Point (C5), Reindeer Depot (C7), Rengleng River (C8), Mountain River (C9), Norman Wells (C11), Ochre River (C13), Willowlake River (C14), and Fort Simpson (C15). See the CALM Program Web page for geographic coordinates and site history for all CALM sites. These data are the property of the people of Canada and the responsibility of the Geological Survey of Canada. If published, adequate acknowledgment is expected. Please contact F. M. Nixon regarding use of the data set or access to the extended data.",
"license": "proprietary"
},
+ {
+ "id": "GGD402_1",
+ "title": "Borehole and environmental protection descriptive and numerical data, Yamal Peninsula, Russia, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1977-01-01",
+ "end_date": "1990-12-31",
+ "bbox": "65.5, 66, 74, 72.5",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206850-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206850-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/GGD402_1",
+ "description": "This database of selected borehole records from the Yamal Peninsula, Russia, contains environmental descriptions (textual and numerical) of the units on the index map, and relevant borehole data. The Index Map of Yamal Peninsula (VSEGINGEO-Earth Cryosphere Institute SB RAS; PI - Prof.E.S.Melnikov) was originally compiled at a scale of 1 to 1,000,000, as 'The Map of Natural Complexes of West Siberia for the Purpose of Geocryological Prediction and Planning of Nature-Protection Measures for the Mass Construction, 1 to 1 mln' (1991) by E.S.Melnikov and N.G.Moskalenko (eds.). It was taken as a base map for nature-protection regionalization. Environmental 'regions', 'sub-regions', 'landscapes' and localities' shown on a landscape map are merged into the nature-protection regions. The map was compiled by interpreting more than 1000 satellite images and aerial photos as well as from analysis of field data from several institutions. Dominating components of the landscape, composition of the surface deposits, geocryological conditions and natural protection of ground water were considered while distinguishing the Nature-Protection Regions within the limits of Environmental Regions (Melnikov, 1988). The map is supplied with relevant databases, containing the following information - number of regions and landscape type; category of resiliency; category of the ground water protection; vegetation type; geological and geocryological structure to the depth of 10-15 m; ice content (of lenses and of macro-inclusions separately); thickness of seasonally frozen and seasonally thawed layers; ground temperature; contemporary exogenic geological (periglacial) processes; and the area affected by these processes. The 55 nature-protection regions of Yamal Peninsula generalize information. To approve the ranges of geocryological and cryolithological characteristics, 160 boreholes were retrieved out of the database containing more than 4000 boreholes data obtained in 1977-1990 by Fundamentproekt Design Institute (Moscow, Russia; PI - Dr.sci.M.A.Minkin) at Kharasavey and Bovanenkovo gas fields and along the pipelines Yamal-Ukhta and Yamal-Uzhgorod. The boreholes have reference to geographical coordinates (latitude and longitude), as well as to the nature-protection region numbers shown on the Index Map. A total of 21 units are covered by borehole data, 5-8 boreholes in each unit, covering most typical conditions The original database consisted of 3 relational tables. The first table includes category of resiliency; locality type description; landscape type description; ground-ice content, water saturation, cryogenic structure, macro-ground-ice content; vegetation types; seasonally frozen and seasonally thawed layer depths; ground temperature at 10 m; exogenic geological processes an their paragenesis and combinations; and degree of the surface disturbance. The second relational table contains layer-by-layer description of the lithological section types. The third table for the boreholes includes the description of topography around the borehole; types of geological profiles through the active layer and depths down to the permafrost table; ground temperature at 10-m depth (close to the depth of zero annual amplitude in the area); macro-ice content; and salinity of permafrost. These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD499_1",
+ "title": "Borehole permafrost data, Kumtor and Taragai Valleys, Tienshan, Kazakhstan, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1974-02-23",
+ "end_date": "1995-03-29",
+ "bbox": "77.817, 41.65, 78.233, 41.933",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206869-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206869-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/GGD499_1",
+ "description": "This dataset includes observations of the permafrost temperatures in the Inner Tien Shan were started in 1986 by Kazakhstan Alpine Permafrost Laboratory. Observations are carried out on more than 40 boreholes, at altitudes between 3300-4200 m. The depths of the boreholes vary from 30 to 600 m. The boreholes are located in both loose (moraines) sediments and bedrock. Several boreholes are situated in the territory of the 'Kumtor' goldmine. The geocryological conditions of goldmine 'Kumtor' and nearby territory have been discussed in scientific reports 1988, 1989 and articles (see references). Two boreholes were drilled in body of glacier 'Davydov' and located in the central and lateral parts of the glacier (depth - 30 m). A third borehole passed through the glacier, moraine and bedrock to a depth of 600 m. In the Kumtor and Taragai valleys, permafrost temperature in 14 boreholes from 25 to 50 m depth, between 3300-3750 m ASL were observed. The distance between outermost boreholes is about 40 km. Temperature measurements in 9 geological prospecting adits [tunnels] (lengthwise 1500-1900 m) located in the four neighboring valleys (altitudes from 3920 to 4010 m) were carried out. At the same sites, but in natural conditions, the thermal conductivity of the bedrock was determined by the cylindrical sounding method. Grain size, soil moisture content, cryogenic structure and depth of seasonal thaw were also obtained from 15 pits located in differing altitudinal levels and exposures. At two further sites, ground temperatures measurements at depths of 0, 2, 5, 10, 15, 20 and 40 cm were taken every hour during daylight hours every 5 days over a two year period. Air temperature, wind velocity and duration of daylight were measured at the same time as the ground temperature measurements. These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD503_1",
+ "title": "Canadian Geothermal Data Collection: Deep permafrost temperatures and thickness of permafrost, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1965-01-01",
+ "end_date": "1997-12-31",
+ "bbox": "-151, 60, -60, 85",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206872-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206872-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/GGD503_1",
+ "description": "Precision temperature measurements have been made in some 150 deep wells and holes drilled in the course of natural resource exploration in the permafrost regions of Northern Canada. In most cases, holes were logged by lowering a probe containing a regions of Northern Canada. In most cases, holes were logged by lowering a probe containing a thermistor incrementally down the well, in other cases multi-thermistor cables were left in the holes and periodic measurements taken. In the 1990's, a few holes were logged by a automatic quasi- continuous logging system. Most holes were logged annually for 5-10 years after drilling completion, and measured temperatures show the disturbance due to drilling and the gradual recovery to near-undisturbed conditions. Some holes in the collection are of depth less than 125 m. Permafrost thicknesses are estimated at each well or hole from the depth of the 0 degree Celsius isotherm. This data collection provides the highest quality of permafrost temperature and permafrost thickness information available for Northern Canada. Other data are the large number of downhole temperature and permafrost thickness estimates taken during commercial well logging of petroleum exploration wells, and are by nature of lesser quality. These data are not included in this data set, but references to compilations of this data are provided. A short text (2000 words), tables of site locations and permafrost thicknesses with small-scale maps, and an extensive bibliography accompany the data collection. The file structure and contents of each file are well described. The text is sufficient to locate the data of interest, and the file description is adequate for a user to recover the parameters of interest. The data are presented on the CAPS Version 1.0 CD-ROM, June 1998.",
+ "license": "proprietary"
+ },
{
"id": "GGD611_1",
"title": "Air Temperatures at High Altitude, Kanchanjunga Himal, Eastern Nepal, Version 1",
@@ -78935,6 +79676,19 @@
"description": "This data set contains 76 active-layer depth measurements (cm) of the Vaisje\u00e4ggi palsa bog, Finland, from 08 September 1993 to 14 October 2002. Data were collected from a single location at 69 deg 49'16.6' N, 27 deg 10'17.1' E. Data also contain snow depth (cm) when snow cover was present. Data are in tab-delimited ASCII text format, and are available via ftp.",
"license": "proprietary"
},
+ {
+ "id": "GGD623_1",
+ "title": "Annual Thaw Depths and Water Depths in Tanana Flats, Alaska, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1995-08-01",
+ "end_date": "2002-08-01",
+ "bbox": "-147.9, 64.7, -147.9, 64.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206891-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206891-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/GGD623_1",
+ "description": "Thaw depths and water depths were monitored at 1 m to 2 m intervals along a 255-m transect across an area of discontinuous and degrading permafrost on the Tanana Flats south of Fairbanks, Alaska. Measurements were taken once a year in late August from 1995 to 2002 to show effects of winter snow depths, climate warming, and vegetation and wetland creation-surface subsidence. Data are in a single tab-delimited ASCII text file, available via FTP.",
+ "license": "proprietary"
+ },
{
"id": "GGD632_1",
"title": "Active-Layer and Permafrost Temperatures, Soendre Stroemfjord, Greenland, Version 1",
@@ -78948,6 +79702,84 @@
"description": "This data set contains active-layer and permafrost temperatures from two stations in Soendre Stroemfjord, Greenland. Snow depth and snow extent were also recorded. Thermometers at Station A (67 deg N, 50.8 deg W, 50 m asl) recorded temperatures once a day from September 1967 to February 1976. Thermometers at Station B (67 deg N, 50.8 deg W, 38 m asl) recorded temperatures once a day from September 1967 to August 1970; however, only bi-weekly averages are given for Station B. Data are in tab-delimited ASCII text format and are available via FTP.",
"license": "proprietary"
},
+ {
+ "id": "GGD641_2",
+ "title": "Arctic Soil Freeze/Thaw Status from SMMR and SSM/I, Version 2",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1978-10-01",
+ "end_date": "2004-06-30",
+ "bbox": "-180, 45, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386246391-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386246391-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/GGD641_2",
+ "description": "This data set contains near-surface (< 5 cm) soil freeze/thaw status on snow-free and snow-covered land surfaces over the Arctic terrestrial drainage basin. The near-surface soil freeze/thaw status is determined by using passive-microwave remote sensing data over snow-free land and a numerical model over snow-covered land. Data are projected to a 25 km x 25 km Northern Hemisphere EASE-Grid. Version 2 of this data set greatly extends the temporal coverage and makes use of data from SMMR as well as SSM/I. Data are from October 1978 to June 2004. Data are in ASCII text format and are available via FTP.",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD642_1",
+ "title": "Annual Thaw Depths in Illisarvik, Northwest Territories, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1979-08-21",
+ "end_date": "1999-08-18",
+ "bbox": "134.5333, 69.5, 134.5333, 69.5",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206904-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206904-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/GGD642_1",
+ "description": "Thaw-depth data were collected annually in August from 21 August 1979 to 18 August 1999, from 400-m, 600-m, and tundra transects at Illisarvik lake, Richards Island, Northwest Territories, Canada. Coordinates are 69 deg 30 min N, 134 deg 32 min W. Data are in tab-delimited ASCII text format, and are available via FTP.",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD648_1",
+ "title": "Geocryology and Geocryological Zonation of Mongolia, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1990-01-01",
+ "end_date": "1990-12-31",
+ "bbox": "87.00179, 40.60767, 121.35476, 52.22926",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206905-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206905-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/GGD648_1",
+ "description": "The map of Geocryology and Geocryological Zonation of Mongolia was derived from the National Atlas of Mongolia (Sodnom and Yanshin, 1990). The data set depicts the distribution and general properties of permafrost and seasonally frozen ground and locations of specific cryogenic phenomena in Mongolia. Two plates were digitized. One plate, at a scale of 1:12,000,000, depicts four general geocryological zones: continuous and discontinuous permafrost, insular and sparsely insular permafrost, sporadic permafrost, and seasonally frozen ground. The second plate, at a scale of 1:4,500,000, depicts 14 different terrain classifications determined according to elevation, mean annual air temperature, permafrost thickness and thaw depth, and seasonal frozen ground freeze depth. The locations of six specific cryogenic phenomena are also included: perennial frost mounds, icings, thermokarst, cryogenic landslides, solifluction, and cryogenic planation. Data are available via FTP as ESRI shapefiles.",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD651_1",
+ "title": "Arctic EASE-Grid Freeze and Thaw Depths, 1901 - 2002, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1901-01-01",
+ "end_date": "2002-12-31",
+ "bbox": "-180, 50, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206909-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206909-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/GGD651_1",
+ "description": "This data set contains mean, median, minimum and maximum freeze and thaw depths for each year from 1901 to 2002 on the 25 km resolution Equal-Area Scalable Earth Grid (EASE-Grid) for areas north of 50 deg. Freeze and thaw depths are estimated using a variant of the Stefan solution using an edaphic factor and freezing or thawing indices as inputs. The edaphic factor is estimated based on different land surface types; the freezing and thawing indices are from Northern Hemisphere EASE-Grid annual freezing and thawing indices, 1901 - 2002 (Zhang, et al. 2005). Two ASCII files are available for each year for freeze depth and thaw depth, respectively. Each file is approximately 25.6 MB in size. In addition, there is one 10.5 MB ASCII file defining the latitude and longitude coordinates for each grid point. The data set is available via FTP as three compressed files.",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD700_1",
+ "title": "Boreholes and temperature logs from the Tibetan Plateau and Northeast China, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1962-08-31",
+ "end_date": "1995-06-15",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206914-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206914-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/GGD700_1",
+ "description": "Four groups of borehole data from the Qinghai-Xizang (Tibet) Plateau are presented. 1) Boreholes at three sites, with sand surface, natural surface, and near a sand dune, at 66 Road Station - 1994 and 1995 measurements to about 17 meters. 2) Borehole temperatures at Borehole CK123 - 1979, 1984, 1994 measurements to 60 meters. 3) Borehole temperatures at five sites in Fenghuoshan Station area - 1962, 1967, 1980, 1984, 1989, 1994, 1995 measurements to 35 meters. 4) Boreholes at Xidatan-Kunlun Pass area - 1994 and 1995 measurements to 17.5 meters; 1994 and 1995 measurements to 25 meters; and 1975, 1976, 1979, 1985, 1989, 1994 and 1995 to 30 meters. Data provided by Wang Shaoling and Cheng Guodong, Lanzhou Institute of Glaciology and Geocryology. Some of these data are presented on the CAPS Version 1.0 CD-ROM, June 1998.",
+ "license": "proprietary"
+ },
+ {
+ "id": "GGD906_1",
+ "title": "Daily Soil Temperature and Meteorological Data for Sites at Toolik Lake Alaska, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1988-06-01",
+ "end_date": "2002-08-30",
+ "bbox": "-149.6, 68.63, -149.6, 68.63",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206916-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206916-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/GGD906_1",
+ "description": "This data set consists of daily air, water, and soil temperature, wind speed, vapor pressure, and the sum of global radiation and unfrozen precipitation data from the Toolik Lake area of Alaska between 1998 and 2002. The data includes readings from two sites: the Toolik Arctic Long Term Ecological Research (LTER) Tundra site and the nearby Toolik Tussock Experimental plots site that includes soil measurements from fertilized and unfertilized greenhouse and 'shadehouse' areas. Data loggers recorded soil temperatures at various intervals down to 150 cm. Air temperatures were recorded between 1 and 5 meters. The data consist of 28 comma-delimited ASCII text files, and are available via ftp. Data files for each site contain slightly different meteorological parameters. This data set is a subset of the more comprehensive data set, Monitoring and Manipulation of Tundra Response to Climate Change, Arctic LTER, Toolik Lake, Alaska. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant number OPP-9810222.",
+ "license": "proprietary"
+ },
{
"id": "GHGSat.archive.and.tasking_NA",
"title": "GHGSat archive and tasking",
@@ -78996,7 +79828,7 @@
"bbox": "-180, 20, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784897341-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784897341-ORNL_CLOUD.html",
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+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGlkYXIgYW5kIHBhbHNhci1kZXJpdmVkIGZvcmVzdCBhYm92ZWdyb3VuZCBiaW9tYXNzLCBwYXJhZ29taW5hcywgcGFyYSwgYnJhemlsLCAyMDEyXCIsXCJPUk5MX0NMT1VEXCIsXCJFc3RpbWF0ZWRfQmlvbWFzc19TdG9ja19BbWF6b25fMTY0OFwiLFwiMVwiLDI0MDg2MzMxNTMsNF0iLCJ1bW0iOiJbXCJsaWRhciBhbmQgcGFsc2FyLWRlcml2ZWQgZm9yZXN0IGFib3ZlZ3JvdW5kIGJpb21hc3MsIHBhcmFnb21pbmFzLCBwYXJhLCBicmF6aWwsIDIwMTJcIixcIk9STkxfQ0xPVURcIixcIkVzdGltYXRlZF9CaW9tYXNzX1N0b2NrX0FtYXpvbl8xNjQ4XCIsXCIxXCIsMjQwODYzMzE1Myw0XSJ9/GIMMS3g_NDVI_Trends_1275_1",
"description": "This data set provides normalized difference vegetation index (NDVI) data for the arctic growing season derived primarily with data from Advanced Very High Resolution Radiometer (AVHRR) sensors onboard several NOAA satellites over the years 1982 through 2012. The NDVI data, which show vegetation activity, were averaged annually for the arctic growing season (GS; June, July and August). The products include the annual GS-NDVI values and the results of a cumulative GS-NDVI time series trends analysis. The data are circumpolar in coverage at 8-km resolution and limited to greater than 20 degrees N.These normalized difference vegetation index (NDVI) trends were calculated using the third generation data set from the Global Inventory Modeling and Mapping Studies (GIMMS 3g). GIMMS 3g improves on its predecessor (GIMMS g) in three important ways. First, GIMMS 3g integrates data from NOAA-17 and 18 satellites to lengthen its record. Second, it addresses the spatial discontinuity north of 72 degrees N, by using SeaWiFS, in addition to SPOT VGT, to calibrate between the second and third versions of the AVHRR sensor (AVHRR/2 and AVHRR/3). Finally, the GIMMS 3g algorithm incorporates improved snowmelt detection and is calibrated based on data from the shorter, arctic growing season (May-September) rather than the entire year (January-December). ",
"license": "proprietary"
},
@@ -79022,59 +79854,59 @@
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"description": "A 0.5 degree lat/lon data set of monthly surface climate over global land areas, excluding Antarctica. Primary variables are interpolated directly from station time-series: precipitation, mean temperature and diurnal temperature range.",
"license": "proprietary"
},
{
"id": "GLAH01_033",
"title": "GLAS/ICESat L1A Global Altimetry Data (HDF5) V033",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547306-NSIDC_CPRD.umm_json",
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+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYm9vdHN0cmFwIHNlYSBpY2UgY29uY2VudHJhdGlvbnMgZnJvbSBuaW1idXMtNyBzbW1yIGFuZCBkbXNwIHNzbS9pLXNzbWlzIHYwMDRcIixcIk5TSURDX0VDU1wiLFwiTlNJREMtMDA3OVwiLFwiNFwiLDI3OTQ1NDA5MTgsNzJdIiwidW1tIjoiW1wiYm9vdHN0cmFwIHNlYSBpY2UgY29uY2VudHJhdGlvbnMgZnJvbSBuaW1idXMtNyBzbW1yIGFuZCBkbXNwIHNzbS9pLXNzbWlzIHYwMDRcIixcIk5TSURDX0VDU1wiLFwiTlNJREMtMDA3OVwiLFwiNFwiLDI3OTQ1NDA5MTgsNzJdIn0%3D/GLAH01_033",
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"license": "proprietary"
},
{
"id": "GLAH01_033",
"title": "GLAS/ICESat L1A Global Altimetry Data (HDF5) V033",
- "catalog": "NSIDC_ECS STAC Catalog",
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"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.umm_json",
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+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547306-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547306-NSIDC_CPRD.html",
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"license": "proprietary"
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{
"id": "GLAH02_033",
"title": "GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
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{
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"title": "GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033",
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"title": "GLAS/ICESat L1B Global Backscatter Data (HDF5) V033",
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{
"id": "GLAH07_033",
"title": "GLAS/ICESat L1B Global Backscatter Data (HDF5) V033",
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{
"id": "GLAH09_033",
"title": "GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033",
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{
"id": "GLAH10_033",
"title": "GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033",
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{
"id": "GLAH10_033",
"title": "GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033",
- "catalog": "NSIDC_ECS STAC Catalog",
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"bbox": "-180, -86, 180, 86",
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+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.html",
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"license": "proprietary"
},
@@ -79367,52 +80199,52 @@
{
"id": "GLAH14_034",
"title": "GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
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"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153551318-NSIDC_CPRD.umm_json",
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},
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"title": "GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034",
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},
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"description": "Measurements made in the Gulf of Mexico in 2010 during the Deepwater Horizon Oil Spill.",
"license": "proprietary"
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"description": "The Global Precipitation Climatology Project (GPCP) is an international project designed to provide improved long-record estimates of precipitation over the globe. The general approach is to combine the precipitation information available from several sources into a final merged product that takes advantage of the strengths of each data type. The GPCP has promoted the development of an analysis procedure for blending the various estimates together to produce the necessary global gridded precipitation fields. The currently operational procedure is based on Huffman et al. (1995) and has been used to produce the GPCP Version 2 Combined Precipitation Data Set, covering the period January 1979 through the present. The primary product in the Version 2 data set is a combined observation-only data set, that is, a gridded analysis based on gauge measurements and satellite estimates of rainfall.",
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"description": "This dataset includes estimates of gross primary production (GPP) for the conterminous U.S., for 2018-02-15 to 2021-10-15, based on measurements of solar-induced chlorophyll fluorescence from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5P satellite platform. GPP was estimated from rates of photosynthesis inferred from SIF using a linear model and ecosystem scaling factors from 102 AmeriFlux sites. Knowledge of the spatiotemporal patterns of GPP is necessary for understanding regional and global carbon budgets. Broad-scale estimates of GPP have typically relied upon carbon cycle models linking spatial patterns of vegetation with remotely sensed environmental data. SIF provides a means to directly estimate photosynthetic activity, and therefore, GPP. Recent deployments of satellite platforms that measure SIF provide near-real-time measurements and represent a breakthrough in measuring GPP on a global scale. Regular SIF measurements can detect spatially explicit ecosystem-level responses to climate events such as drought and flooding. This dataset includes spatially explicit estimates of GPP (g m-2 d-1), uncertainty in GPP, and related TROPOMI SIF measurements (mW m-2 sr-1 nm-1) at 500-m resolution. The data are provided in NetCDF format.",
"license": "proprietary"
},
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"description": "The BigFoot project gathered Gross Primary Production (GPP) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2004. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. BigFoot was funded by NASA's Terrestrial Ecology Program.For more details on the BigFoot Project, please visit the website: http://www.fsl.orst.edu/larse/bigfoot/index.html.",
"license": "proprietary"
},
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"description": "The GPROF 6.0 Pentads data set contains 5-day (pentad) averages of the GPROF 6.0 Gridded Orbits. The GPROF(Goddard Profiling Algorithm) data set contains a suite of 9 products providing instantaneous, gridded values of precipitation totals for each granule of the SSM/I (Special Sensor Microwave/Imager) data over the roughly 14-year period July 1987 through the present. Even though there have been at least two satellites for the entire period, sampling is sufficiently sparse that the data are averaged for pentads, then the pentads are smoothed with a 1-2-3-2-1 time-weighting. The last two pentads are unevenly weighted since the last (or last two) pentads in the average are not yet available. Consequently, the last two pentads must be recomputed when the next pentad becomes available.The data set prepared for SAFARI cover the years 1999, 2000, and 2001.The main refereed citations for the data set are Kummerow et al. (1996)and Olson et al. (1999)",
"license": "proprietary"
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"description": "This dataset provides multiple-return LiDAR-derived vegetation canopy structure at 30-meter spatial resolution for the Great Smoky Mountains National Park (GSMNP). Canopy characteristics were analyzed using high resolution three-dimensional point cloud measurements gathered between February-April 2011 for Tennessee and during March-April 2005 for North Carolina sections of the park. Vegetation types were mapped by grouping areas of similar canopy structure. The map was compared and validated against existing vegetation maps for the park.",
"license": "proprietary"
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"description": "The GasEx experiments took place as several different cruises, e.g. GasEx I, GasEx II and GasEx III, also known as the Southern Ocean GasEx.",
"license": "proprietary"
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"description": "This data set provides global forest area, forest growing stock, and forest biomass data at 1-degree resolution for the period 1950-2010. The data set is based on a compilation of forest area and growing stock data reported in international assessments performed by FAO, MCPFE (now Forest Europe), and UNECE. Data of different assessments are to the extent possible harmonized to reflect both forest area and other wooded land, to be comparable between countries and assessments.",
"license": "proprietary"
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"description": "This dataset provides global clumping index (CI) data for 2006 derived from the MODIS Bidirectional Reflectance Distribution Function (BRDF) data product. Clumping index is a key structural parameter of plant canopies which represents the degree of foliage grouping within distinct canopy structures relative to a random distribution. The data are provided at substantially higher resolution (500-m) than existing clumping index data products.",
"license": "proprietary"
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"description": "This dataset provides monthly globally gridded freshwater wetland methane emissions from 2001-2018 in nmol CH4 m-2 s-1, g C-CH4 m-2 d-1, and TgCH4 grid cell-1 month-1. The data were derived from a six-predictor random forest upscaling model (UpCH4) trained on 119 site-years of eddy covariance CH4 flux data from 43 freshwater wetland sites covering bog (8), fen (8), marsh (10), swamp (6), and wet tundra (11) wetland classes and distributed across Arctic-boreal (20), temperate (16), and (sub)tropical (7) climate zones. Weekly mean CH4 fluxes were computed from half-hourly FLUXNET-CH4 Version 1.0 fluxes. Each grid cell CH4 flux prediction was weighted by fractional grid cell wetland extent to estimate CH4 emissions using the primary global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) product and an alternate Global Inundation Estimate from Multiple Satellites GIEMS version 2 global wetland map. Both WAD2M and GIEMS-2 maps were modified with several correction data layers to represent the monthly area covered by vegetated wetlands, excluding open water and coastal wetlands. The data products are: mean daily fluxes with no adjustment for wetland area (i.e., flux densities assuming hypothetical 100% wetland cover); mean daily fluxes adjusting for WAD2M or GIEMS-2 wetland area; and by-pixel monthly sum of freshwater wetland methane emissions adjusting for WAD2M or GIEMS-2 wetland area. The data are provided in NetCDF4 format.",
"license": "proprietary"
},
@@ -84950,7 +85782,7 @@
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"description": "This dataset - HYSOGs250m - represents a globally consistent, gridded dataset of hydrologic soil groups (HSGs) with a geographical resolution of 1/480 decimal degrees, corresponding to a projected resolution of approximately 250-m. These data were developed to support USDA-based curve-number runoff modeling at regional and continental scales. Classification of HSGs was derived from soil texture classes and depth to bedrock provided by the Food and Agriculture Organization soilGrids250m system.",
"license": "proprietary"
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@@ -84963,7 +85795,7 @@
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"description": "This dataset provides global gridded information on lake surface area and open water CH4 emissions at a resolution of 0.25-degree x 0.25-degree for an annual climatology representative of the average conditions from 2003 to 2015. A compilation of flux data from 575 individual lake systems and 893 aggregated flux values were used, and each flux measurement was classified into one of seven ecoclimatic types. Ice-cover-regulated emission seasonality was derived from satellite microwave observations of ice cover phenology and freeze-thaw dynamics. Global lake area was determined from the merger of HydroLAKES and Climate Change Initiative Inland-Water (CCI-IW) remote-sensing data, and lakes were classified into ecoclimatic regions to facilitate linking these types with ecosystem-specific CH4 measurements in the flux compilation. Exploratory estimates of fluxes associated with ice melt and with spring and fall water-column turnover are also included. The data are provided in NetCDF format.",
"license": "proprietary"
},
@@ -85028,7 +85860,7 @@
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"description": "This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at a 300-m spatial resolution. The aboveground biomass map integrates land-cover specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were amassed from the published literature and, where necessary, updated to cover the focal extent or time period. The belowground biomass map similarly integrates matching maps derived from each aboveground biomass map and land-cover specific empirical models. Aboveground and belowground maps were then integrated separately using ancillary maps of percent tree cover and landcover and a rule-based decision tree. Maps reporting the accumulated uncertainty of pixel-level estimates are also provided.",
"license": "proprietary"
},
@@ -85054,7 +85886,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764742564-ORNL_CLOUD.html",
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"description": "This dataset provides global monthly average gross primary productivity (GPP; g carbon/m2/d) modeled at 8 km spatial resolution for each of the 35 years from 1982-2016. GPP is based on the well-known Monteith light use efficiency (LUE) equation but was improved with optimized spatially and temporally explicit LUE values derived from selected FLUXNET tower site data. Optimized LUE was extrapolated to a consistent 8 km resolution global grid using multiple explanatory variables representing climatic, landscape, and vegetation factors influencing LUE and GPP. Global gridded long-term daily GPP was derived using the optimized LUE, Global Inventory Modeling and Mapping Studies (GIMMS3g) canopy fraction of photosynthetically active radiation (FPAR), and Modern-Era Retrospective analysis for Research and Applications, Version 2, (MERRA-2) meteorological information. These data will improve satellite-based estimation and understanding of GPP using a refined LUE model framework.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863372-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863372-ORNL_CLOUD.html",
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"description": "This data set provides estimates of different forms of naturally occurring soil phosphorus (P) including labile inorganic P, organic P, occluded P, secondary mineral P, apatite P, and total P on a global scale at 0.5-degree resolution. The data were assembled from chronosequence information and global spatial databases to develop a map of total soil P and the distribution among mineral bound, labile, organic, occluded, and secondary P forms in soils. Uncertainty was calculated for the different forms. The data set has no explicit temporal component -- data were nominally for the pre-industrial period ca. 1850.The estimated global spatial variation and distribution of different soil P forms presented in this study will be useful for global biogeochemistry models that include P as a limiting element in biological production by providing initial estimates of the available soil P for plant uptake and microbial utilization (Yang et al., 2013).There is one netCDF data file (.nc) with this data set. ",
"license": "proprietary"
},
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"description": "This dataset includes global maps of methane (CH4) emissions from inland dam-reservoir systems at 0.25-degree spatial resolution. Daily emission rates (as grams of CH4 per day per total area of grid cell) were estimated for boreal, temperate, and subtropical-tropical eco-climatic domains and total emissions. The annual duration of the emission season is based on freeze-thaw cycles of these water bodies as applicable. In addition, the dataset includes the total fractional area of reservoirs in each grid cell. These estimates will promote understanding of the current and future role of reservoirs in the global CH4 budget and guide efforts to mitigate reservoir-related CH4 emissions. These emission estimates are climatological; one daily value for each day of year (n=365) is provided for each grid cell. Modeled estimates were based on daily mean inputs, averaged over 2002 to 2015.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389020006-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389020006-ORNL_CLOUD.html",
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"description": "This dataset provides modeled estimates of annual nitrous oxide (N2O) emissions at a coarse geographic scale (0.5 x 0.5 degree) for two sets of global rivers and streams covering the period of 1900-2016. Emissions (g N2O-N/yr) are provided for higher-order rivers and streams (>=4th order) and headwater streams (<4th order). The estimates were derived from a water transport model, the Model for Scale Adaptive River Transport (MOSART), coupled with the Dynamic Land Ecosystem Model (DLEM) to link hydrology and ecosystem processes pertaining to N2O flux and transport. Factors driving the model included climate, land use and land cover, and nitrogen inputs (i.e., fertilizer, deposition, manure, and sewage). Nitrogen discharges from streams and rivers to the ocean were calibrated from observations from 50 river basins across the globe.",
"license": "proprietary"
},
@@ -85132,7 +85964,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207986708-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207986708-ORNL_CLOUD.html",
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"description": "This dataset provides spatially-contiguous global mean daily solar-induced chlorophyll fluorescence (SIF) estimates at 0.05 degree (approximately 5 km at the equator) spatial and 16-day temporal resolution from September 2014 through July 2020. This product was derived from Orbiting Carbon Observatory-2 (OCO-2) SIF observations and produced by training an artificial neural network (ANN) on the native OCO-2 SIF observations and MODIS BRDF-corrected seven-band surface reflectance along OCO-2's orbits. The trained ANN model was then applied to predict mean daily SIF (mW/m2/nm/sr) in OCO-2's gap regions based on MODIS reflectance and landcover. This framework was stratified by biomes and 16-day time steps. This dataset's high resolution and global contiguous coverage will greatly enhance the synergy between satellite SIF and photosynthesis measured on the ground at consistent spatial scales. Potential applications of this dataset include advancing dynamic drought monitoring and mitigation, informing agricultural planning and yield estimation, and providing a benchmark for upcoming satellite missions with SIF capabilities at higher spatial resolutions.",
"license": "proprietary"
},
@@ -85145,7 +85977,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2575421513-ORNL_CLOUD.html",
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"description": "This dataset provides global salt marsh change, including loss and gain for five-year periods from 2000-2019. Loss and gain at a 30 m spatial resolution were estimated with Normalized Difference Vegetation Index (NDVI) anomaly algorithm using Landsat 5, 7, and 8 collections within the known extent of salt marshes. The data are provided in cloud-optimized GeoTIFF format.",
"license": "proprietary"
},
@@ -85158,7 +85990,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864025-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864025-ORNL_CLOUD.html",
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"description": "This data set provides high-resolution estimates of the thickness of the permeable layers above bedrock (soil, regolith, and sedimentary deposits) within a global 30-arcsecond (~1-km) grid using the best available data for topography, climate, and geology as input. These data are modeled to represent estimated thicknesses by landform type for the geological present.",
"license": "proprietary"
},
@@ -85171,7 +86003,7 @@
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+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHNvaWwgZGF0YSBwcm9kdWN0cyBjZC1yb20gY29udGVudHMgKGlnYnAtZGlzKVwiLFwiT1JOTF9DTE9VRFwiLFwiSUdCUC1ESVNfNTY1XCIsXCIxXCIsMjIxNjg4MDgyMCw2XSIsInVtbSI6IltcImdsb2JhbCBzb2lsIGRhdGEgcHJvZHVjdHMgY2Qtcm9tIGNvbnRlbnRzIChpZ2JwLWRpcylcIixcIk9STkxfQ0xPVURcIixcIklHQlAtRElTXzU2NVwiLFwiMVwiLDIyMTY4ODA4MjAsNl0ifQ%3D%3D/Global_Veg_Greenness_GIMMS_3G_2187_1",
"description": "This dataset holds the Global Inventory Modeling and Mapping Studies-3rd Generation V1.2 (GIMMS-3G+) data for the Normalized Difference Vegetation Index (NDVI). NDVI was based on corrected and calibrated measurements from Advanced Very High Resolution Radiometer (AVHRR) data with a spatial resolution of 0.0833 degree and global coverage for 1982 to 2022. Maximum NDVI values are reported within twice monthly compositing periods (two values per month). The dataset was assembled from different AVHRR sensors and accounts for various deleterious effects, such as calibration loss, orbital drift, and volcanic eruptions. The data are provided in NetCDF format.",
"license": "proprietary"
},
@@ -85379,7 +86211,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360351-OB_DAAC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360351-OB_DAAC.html",
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"description": "Water quality measurements taken in the Great Lakes region of the United States.",
"license": "proprietary"
},
@@ -85418,7 +86250,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2762262652-ORNL_CLOUD.html",
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"description": "This dataset provides maps of woody (tree and shrub) cover and biomass across Sub-Saharan Africa at a resolution of 1 km for the period 2000-2004. Canopy cover observations and remote-sensing data related to woody vegetation were used to predict woody cover across Africa. Predicted woody cover, canopy height, and tree allometry were used to estimate woody biomass for Sub-Saharan Africa. Canopy cover observations were assembled from field measurements and Google Earth imagery collected from 2000-2004. Remote-sensing data related to the structural attributes of woody vegetation were derived from MODIS optical data and Q-SCAT (Quick Scatterometer) microwave measurements. Canopy height estimates were derived from spaceborne lidar and tree allometry equations were retrieved from GlobAllomeTree.",
"license": "proprietary"
},
@@ -85457,7 +86289,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360355-OB_DAAC.html",
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"description": "Measurements from the Gulf Of Maine during 2008 and 2009.",
"license": "proprietary"
},
@@ -85929,6 +86761,19 @@
"description": "This product provides level 3 monthly averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the globe oversampled to a spatial resolution of 0.1\u02da x 0.1\u02da (~10 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in January 2019 and continues to the present. This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time. NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations. ",
"license": "proprietary"
},
+ {
+ "id": "HAWKEYE_L1_1",
+ "title": "SeaHawk HawkEye Level-1 Data, version 1",
+ "catalog": "OB_DAAC STAC Catalog",
+ "state_date": "2018-12-03",
+ "end_date": "",
+ "bbox": "-180, 90, -180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2124738110-OB_DAAC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2124738110-OB_DAAC.html",
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+ "description": "The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON).",
+ "license": "proprietary"
+ },
{
"id": "HAWKEYE_L1_1",
"title": "SeaHawk-1 HawkEye Level-1A Data, version 1",
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"description": "The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON).",
"license": "proprietary"
},
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- "catalog": "OB_DAAC STAC Catalog",
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- "description": "The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON).",
- "license": "proprietary"
- },
{
"id": "HAWKEYE_L2_OC_2018.0",
"title": "SeaHawk HawkEye Regional Ocean Color (OC) Data, version 2018.0",
@@ -85964,7 +86796,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2124738174-OB_DAAC.html",
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"description": "The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON).",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2756285170-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756285170-ORNL_CLOUD.html",
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"description": "Time series of monthly minimum and maximum temperature, precipitation, and potential evapotranspiration were derived for 1,469 watersheds in the conterminous United States for which stream flow measurements were also available from the national streamflow database, termed the Hydro-Climatic Data Network (HCDN), developed by Slack et al. (1993a,b). Monthly climate estimates were derived for the years 1951-1990.The climate characteristic estimates of temperature and precipitation were estimated using the PRISM (Daly et al. 1994, 1997) climate analysis system as described in Vogel, et al. 1999.Estimates of monthly potential evaporation were obtained using a method introduced by Hargreaves and Samani (1982) which is based on monthly time series of average minimum and maximum temperature data along with extraterrestrial solar radiation. Extraterrestrial solar radiation was estimated for each basin by computing the solar radiation over 0.1 degree grids using the method introduced by Duffie and Beckman (1980) and then summing those estimates for each river basin. This process is described in Sankarasubramanian, et al. (2001). Revision Notes: This data set has been revised to update the number of watersheds included in the data set and to updated the units for the potential evapotranspiration variable. Please see the Data Set Revisions section of this document for detailed information. ",
"license": "proprietary"
},
@@ -87264,7 +88096,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863856-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863856-ORNL_CLOUD.html",
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+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wicHJvYmFiaWxpc3RpYyBmcmVlemUtdGhhdyByZWNvcmQgZm9yIHRoZSBub3J0aGVybiBoZW1pc3BoZXJlLCAyMDE2LTIwMjBcIixcIk9STkxfQ0xPVURcIixcIkZyZWV6ZV9UaGF3X05vcnRoZXJuSGVtaXNwaGVyZV8yMzIzXCIsXCIxXCIsMjk1MzkzOTc4MywzXSIsInVtbSI6IltcInByb2JhYmlsaXN0aWMgZnJlZXplLXRoYXcgcmVjb3JkIGZvciB0aGUgbm9ydGhlcm4gaGVtaXNwaGVyZSwgMjAxNi0yMDIwXCIsXCJPUk5MX0NMT1VEXCIsXCJGcmVlemVfVGhhd19Ob3J0aGVybkhlbWlzcGhlcmVfMjMyM1wiLFwiMVwiLDI5NTM5Mzk3ODMsM10ifQ%3D%3D/HWSD_1247_1",
"description": "This data set describes select global soil parameters from the Harmonized World Soil Database (HWSD) v1.2, including additional calculated parameters such as area weighted soil organic carbon (kg C per m2), as high resolution NetCDF files. These data were regridded and upscaled from the Harmonized World Soil Database v1.2 The HWSD provides information for addressing emerging problems of land competition for food production, bio-energy demand and threats to biodiversity and can be used as input to model global carbon cycles. The data are presented as a series of 27 NetCDF v3/v4 (*.nc4) files at 0.05-degree spatial resolution, and one NetCDF file regridded to the Community Land Model (CLM) grid cell resolution (0.9 degree x 1.25 degree) for the nominal year of 2000.",
"license": "proprietary"
},
@@ -87511,7 +88343,7 @@
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"description": "This data set contains hydrology, soils, radiation, cloud, and vegetation data from the International Satellite Land Surface Climatology Project (ISLSCP) Initiative I. The ISLSCP data sets should provide LBA modelers with many of the fields required to describe boundary conditions, and to initialize and force a wide range of land-biosphere-atmosphere models. All of the data have been processed to the same global spatial resolution (1 deg. x 1 deg.), using the same land/sea mask and steps have been taken to ensure spatial and temporal continuity of the data. The data sets cover the period 1987-1988 at 1-month time resolution for most of the seasonally varying quantities. For this pre-LBA data set, the ISLSCP I data are provided as global coverages. The companion file illustrations were subset over the LBA study area, from 35-85 deg. W longitude and 20 deg. S to 10 deg. N latitude, as shown in Figure 1.The data files and illustrations are organized into the three groups listed below.1. Hydrology and Soils2. Radiation and Clouds3. VegetationThe data within each of these areas were acquired from a variety of sources including model output, satellites, and ground measurements. The individual data sets were provided in a variety of forms. In some cases, this required the data publication team to regrid and reformat data sets and in others to produce monthly averages from finer resolution data. The specific processing for each data set is detailed in the documentation. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD-ROMs (Marengo and Victoria, 1998) but are now archived individually. ",
"license": "proprietary"
},
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"description": "This dataset provides the results of the characterization of shrubland vegetation at two study areas in southern Idaho, USA: the Reynolds Creek Experimental Watershed (RCEW) and Hollister. Data were collected in September and October 2014. In each study area, several 10-m x 10-m plots were randomly established that are representative of the local dominant vegetation types. Measurements are reported for both plot and individual shrub attributes. Plot measurements include shrub density and biometric data, percent shrub cover derived from line intercept transects, percent plant species and bare ground cover derived from photo analysis, and average LAI. Measurements for selected individual shrubs include height, width, length, number of stems, and LAI. Leaf samples were collected for determining LAI, specific leaf area (SLA), carbon and nitrogen concentrations, and isotopic nitrogen and carbon.",
"license": "proprietary"
},
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"description": "This dataset provides the spatial distribution of vegetation types, soil carbon, and physiographic features in the Imnavait Creek area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology. Data are also provided on the research grids for georeferencing. The map data are from a variety of sources and encompass the period 1970-06-01 to 2015-08-31.",
"license": "proprietary"
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"description": "Active layer thickness (ALT) is a critical parameter for monitoring the status of permafrost that is typically measured at specific locations using probing, in situ temperature sensors, or other ground-based observations. The thickness of the active layer is the average annual thaw depth, in permafrost areas, due to solar heating of the surface. This data set includes the mean Remotely Sensed Active Layer Thickness (ReSALT) over years 1992 to 2000 for an area near Prudhoe Bay, Alaska. The data were produced by an Interferometric Synthetic Aperture Radar (InSAR) technique that measures seasonal surface subsidence and infers ALT. ReSALT estimates were validated by comparison with ground-based ALT measurements at multiple sites. These results indicate remote sensing techniques based on InSAR could be an effective way to measure and monitor ALT over large areas on the Arctic coastal plain.These data provide gridded (100-m) estimates of active layer thickness (cm; ALT), seasonal subsidence (cm) and subsidence trend (mm/yr), as well as calculated uncertainty in each of these parameters. This data set was developed in support of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) field campaign.The data are presented in one netCDF (*.nc) file. ",
"license": "proprietary"
},
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"description": "The World Inventory of Soil Emission Potentials (WISE) database was used to generate a series of uniform data sets of derived soil properties for each of the 106 soil units considered in the Soil Map of the World. These data sets were then used to generate GIS raster image files for the following variables: total available water capacity (mm water per 1 m soil depth); soil organic carbon density (kg C/m**2 for 0-30cm depth range); soil organic carbon density (kg C/m**2 for 0-100cm depth range); soil carbonate carbon density (kg C/m**2 for 0-100cm depth range); soil pH (0-30 cm depth range); and soil pH (30-100 cm depth range).",
"license": "proprietary"
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"description": "The ISRIC-WISE International soil profile data set consists of a homogenized, global set of 1,125 soil profiles for use by global modelers. These profiles provided the basis for the Global Pedon Database (GPDB) of the International Geosphere-Biosphere Programme (IGBP) - Data and Information System (DIS). The data set includes information on soil classification, site data, soil horizon data, source of data, and methods used for determining analytical data.",
"license": "proprietary"
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"description": "This data set provides ~100-m resolution image mosaics of South America acquired during the low flood season between September and December 1995 and during the high flood season between May and July of 1996. The images cover the same areas during both seasons and were obtained from the Japanese Earth Resources Satellite 1 (JERS-1) Synthetic Aperture Radar (SAR) of the National Space Development Agency of Japan (NASDA). The data were mosaicked into 34 tiles for each season, each consisting of about 50 JERS-1 scenes. This data set constitutes the first-ever high-resolution and single season coverage of the entire Amazon River Basin, made possible by the cloud penetrating properties of the radar sensor. The images are from the original JERS-1 SAR Global Rain Forest Mapping Project. This data set contains 66 files in GeoTIFF (.tiff) format. There are 32 files for the low flood season and 34 files for the high flood season. ",
"license": "proprietary"
},
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"description": "Measurements from the NOAA ship, the Kaimimoana between 1999 and 2002.",
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"description": "Measurements made along the mid-Atlantic and New England coastal regions.",
"license": "proprietary"
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"description": "Measurements made off King George Island near Antarctica between 2000 and 2001.",
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"description": "This data set provides high-resolution surface reflectance, thermal imagery, burn severity metrics, and LiDAR-derived structural measures of forested areas in the Sierra Nevada Mountains, California, USA, collected before and after the August 2013 Rim and September 2014 King mega forest fires. Pre-fire data were paired with post-fire collections to assess pre- and post-fire landscape characteristics and fire severity. Field estimates of fire severity were collected to compare with derived remote sensing indices. Reflectance measurements for the spectroscopic AVIRIS and MASTER sensors are distributed as multi-band geotiffs for each megafire and acquisition date. Derived operational metric products for each sensor are provided in individual GeoTIFFs. GeoTIFFs produced from LiDAR point data depict first order topographic indices and summary statistics of vertical vegetation structure.",
"license": "proprietary"
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"description": "This data set provides a collection of vegetation, landscape, geobotanical, elevation, hydrology, and geologic maps for the Kuparuk River Basin, North Slope, Alaska. The maps cover either (1) the entire Kuparuk River Basin, from the headwaters on the north side of the Brooks Range to the Beaufort Sea coast, or (2) the selected Upper Kuparuk River Region including the Toolik Lake and Imnavait Creek research areas. The maps were produced from imagery and existing geobotanical maps covering the period 1976-08-04 to 2008-12-31.",
"license": "proprietary"
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"description": "Measurements in the Kuroshio, western boundary current in the North Pacific Ocean, from 1997.",
"license": "proprietary"
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"description": "This dataset provides leaf area index (LAI) estimates for Sub-Saharan Africa for woody, herbaceous, and aggregate vegetation types. The estimates were derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Level 4 and the native MODIS LAI product (MCD15A2H Version 6.1), which provides LAI measurements every 8 days at 500-m pixel size. Data from the MCD15A2H product were processed further to generate three layers including: a smoothed and gap filled LAI layer referred to as aggregate leaf area index and two additional layers processed to separate woody LAI (tree and shrubs) and herbaceous LAI (grass and forbs). The data include 31 MODIS 10-degree tiles and cover 2002 to 2022. The data are provided in NetCDF format.",
"license": "proprietary"
},
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"description": "This data set provides local LAI maps for the selected measured sites in Canada. These derived maps may also be useful for validating other LAI maps over these same sites given that the areas are protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The data set may also be useful for monitoring changes in the land surface.The Leaf Area Index (LAI) maps are at 30-m resolution for the selected sites. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover map to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).",
"license": "proprietary"
},
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"description": "This data set provide local LAI maps for the Larose (Ontario) site in Canada. These derived maps may also be useful for validating other LAI maps over this same site given that the area is protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The dataset may also be useful for monitoring changes in the land surface. A complete description of producing the maps for the Larose site and the ground measurement campaign is provided in the companion document Larose2003FTReport.pdf.",
"license": "proprietary"
},
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"description": "The BigFoot project gathered leaf area index (LAI) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2003. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. LAI was measured at plots within each site for at least two years using standard direct and optical methods at each site. BigFoot was funded by NASA's Terrestrial Ecology Program.",
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"description": "Measurements made by the research vessel Lady Basten in 2002 off the northeast Australia coast.",
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"description": "This data set contains the national and provincial boundaries of Ecuador as well as the boundaries of two national parks: the Cuyabeno Wildlife Reserve and the Yasuni National Park. There are four data files in ESRI ARCGIS Shapefile format within this data set. Each shape file has been compressed into a single compressed file (*.zip).",
"license": "proprietary"
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"description": "This data set contains the boundaries of the four major cities in the Northern Ecuadorian Amazon, the locations of primary communities in the colonist settlement area, and the locations of the road network, circa 2002. This area in northeastern Ecuador, know as the northern Oriente of Ecuador, borders the Andes Mountains and contains the headwaters of the Amazon River.The road network was originally digitized from 1:50,000 scale topographic maps from 1990. The surface attributes for the majority of the roads have been updated based on later remote sensing and field observations from 1999 and 2002. There are three compressed (*.zip) files with this data set.",
"license": "proprietary"
},
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"description": "This data set reports summary statistics from socioeconomic and demographic surveys administered to the male and female heads of household on 767 farm plots. The surveys were performed in the provinces of Sucumbios and Napo/Orellana, in the northern Ecuadorian Amazon colonist settlements (Oriente) in 1999 (Pan and Bilsborrow, 2005). In addition, perception of, and opinions about local climate, soil quality, and environmental contamination were assessed for both the male and female heads of household. There are two comma-delimited (csv) ASCII data files. One file provides summary data from male respondents; the other data file provides summary responses from the female household survey (generally the spousal respondent). The original questionnaire forms are included as companion files (PDF format).",
"license": "proprietary"
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"description": "This data set provides map images of hydrographic, morphologic, and edaphic features for the northern Amazon Basin in eastern Ecuador. The hydrographic data are available at two scales based on the 1:50,000 and 1:250,000-scale topographic source maps that were generated in 1990 and 1993, respectively. Morphological and edaphological data were digitized from a 1:500,000 map published in 1983. There are 3 compressed (*.zip) data files with this data set.",
"license": "proprietary"
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"description": "This data set contains Landsat TM imagery for the years 1986, 1989, 1996, and 1999, that have been classified into four land use/land cover (LULC) classes: Forest, Non-Forest Vegetation, Urban/Barren, and Water; and a fifth class of Clouds/Shadows. The areas of interest were the four Intensive Study Areas (ISA) of the University of North Carolina's Carolina Population Center (CPC) Ecuador Projects: Eastern Intensive Study Area; Northern Intensive Study Area; Southern Intensive Study Area, and Southwestern Intensive Study Area. These areas are in the Northern Ecuadorian Amazon, in the area known as the northern Oriente of Ecuador. The resolution of the data is 30 meters. There are 12 image files (.tif) with this data set. ",
"license": "proprietary"
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"description": "This data set contains a time series of early Landsat-4 MSS satellite imagery as well as Landsat-5 TM and Landsat-7 ETM+ satellite imagery of the northern Ecuadorian Amazon. Some of the TM and ETM images have been georectified to UTM Zone 18 South, WGS84 Datum. Not all of the images have been georectified. ",
"license": "proprietary"
},
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"description": "This data set provides 90-meter resolution Digital Elevation Model data used in the University of North Carolina's Carolina Population Center (CPC) Ecuador Projects. The topographic data were derived from Shuttle Radar Topography Mission (SRTM) C-band and X-band interferometric synthetic aperture radars (IFSARs) data that were acquired over 80% of Earth's land mass in February 2000. This data set includes one image in GeoTiff format that is a subset for the Northern Ecuadorian Amazon region.",
"license": "proprietary"
},
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"description": "This data set contains topographic/geomorphological data associated with the four Intensive Study Areas (ISAs) in the Northern Ecuadorian Amazon (northern Oriente) that are part of the University of North Carolina's Carolina Population Center (CPC) Ecuador Projects study. Study area boundaries were developed directly from 1:50,000 topographical maps. Point elevation features and 20-meter elevation contours were digitized from these same maps. Digital elevation models (DEMs) were derived from these elevation data and, in turn, terrain aspect and terrain slope were derived from the digital elevation models. Only boundary data were provided for the southwestern ISA. These data are provided in ESRI shapefile format and GeoTiff. There are six compressed (*.zip) data files with this data set.",
"license": "proprietary"
},
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"description": "This data set provides the results of controlled burns conducted to assess the flammability of mature forests on the Catuaba Experimental Farm of the Federal University of Acre - Rio Branco, Acre, Brazil. Controlled burns were conducted in 1998, and the rate of fire spread was calculated based on the duration of the fire and the measured extent of the burned area. Environmental variables measured included type of forest, canopy openness, leaf area index, number of days without rainfall, precipitation, height of litter, litter humidity, brushwood humidity, amount of water in the ground, air temperature, and relative humidity. Results from 50 fires set in 1998 are reported. There is one comma-delimited data file with this data set.These data are part of a larger study reported in the thesis by Elsa Renee Huamon Mendoza, Susceptibility of primary forest to fire in 1998 and 1999: A case study in Acre, south-eastern Amazonia, Brazil. The thesis, in Portuguese, is included as a companion file with this data set.",
"license": "proprietary"
},
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"description": "This data set provides hot pixel data, as an indicator of fires that were detected by the GOES-8 satellite for the state of Acre, Brazil. Image data were collected for extended periods over the course of 3 years (1998, 2000 and 2001). Data were filtered to select only pixels identified and processed by the GOES-8 Automated Biomass Burning Algorithm (ABBA), where estimates of sub-pixel fire characteristics including size and temperature were able to be determined. There are three comma-delimited ASCII data files with this data set.",
"license": "proprietary"
},
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"description": "This data set provides hot pixel data, as an indicator of fires, that were detected by various satellites in the tri-national MAP region (Madre de Dios-Peru, Acre-Brazil, and Pando-Bolivia) in 2003, 2004, 2005, and 2006. Data from the following satellites/sensors were compiled: NOAA-12, NOAA-14, NOAA-15, and NOAA-16, which transports the AVHRR sensor; GOES-8 and GOES- 12, which transports the GOES Imager; and AQUA and TERRA, both which transport the MODIS sensor. These data were made available by the Centro de Previsao do Tempo e Estudos Climaticos (CPTEC) of the Instituto Nacional de Pesquisas Espaciais (INPE) via the internet (http://sigma.cptec.inpe.br/queimadas/). This data set contains 12 comma-delimited ASCII data files.Hot pixel data from satellites can be used as an indicator of fires and for the understanding of fire frequency in remote areas. The publication by Vasconcelos and Brown, 2007, which has been included as a companion file, describes the application of these data in the MAP region. In addition to the the hot pixel data, each observation has a derived vegetation type, susceptibility to fire, recent and past precipitation amounts, and a calculated fire risk value. These data are described in the Fire Risk Factor companion file, by Alberto W. Setzer and Raffi A. Sismanoglu, Version 5, February 2006. ",
"license": "proprietary"
},
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"description": "This data set provides meteorological measurements collected from 3 different meteorological stations within a radius of 8 km in Rio Branco, Acre Brazil, for the periods of June of 1970 to 1974, December of 1974 to 1980, and May of 1980 thru May 31, 2001. Daily average values for rainfall, relative humidity, evapotranspiration, maximum and minimum temperature, pressure, wind direction and speed, solar radiation, and cloud cover are reported. There is one comma-delimited data file with this data set.",
"license": "proprietary"
},
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"description": "This data set provides diameter at breast height (DBH) measurements for 1,063 trees located at the Catuaba Experimental Farm, and 812 trees located in the Humaita Forest Reserve. Both sites are in the state of Acre, southwest Amazonia, Brazil. Measurements were made on individuals with DBH between 10 and 35 cm and individuals with DBH > 35 cm. The Catuaba Experimental Farm is part of a forest fragment of approximately 800 ha. The Humaita Forest Reserve is located in a 1,500-ha forest band with dominant bamboo characteristic. Ten-ha areas were inventoried at both sites. There is one data file in comma-delimited (.csv) format with this data set. There is also one companion data file with supplemental Catuaba site tree height and biomass data.",
"license": "proprietary"
},
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"description": "This data set provides coordinates for points at the mouth of tributaries of the Acre River in the Tri-national River Basin in South America. Three Global Positioning System (GPS) readings were made at the outlet of each tributary and the average of the three readings is reported. The Tri-national River Basin is located in the tri-national frontier region of Madre de Dios, Peru, Acre, Brazil, and Pando, Bolivia (known as the MAP region). The MAP region is approximately 300,000 km2. The Acre River flows through Brazil, Bolivia, and Peru. Data on the basin drainage network from the Digital Elevation Model (DEM) Shuttle Radar Topography Mission (SRTM) was obtained as a source of information for the border areas. The GPS readings were part of an assessment of the reliability of the DEM/SRTM drainage network data (Maldonado and Brown, 2003). There is one data file in comma-delimited (.csv) format and one compamion file (.pdf) with this data set. DATA QUALITY STATEMENT: This data set provides GPS coordinates only and is not associated with any additional measurements. There is no associated research documentation. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779742942-ORNL_CLOUD.html",
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"description": "This data set reports bi-weekly or monthly depth-to-water measurements for three wells located in a ~1,500 ha forest fragment on the Catuaba Experimental Farm, which is the property of the Federal University of Acre, Brazil. Data were collected between February 1999 and December 2004. There is one comma-delimited ASCII data file with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: The depth-to-water measurements for the three wells lack ground surface elevation reference points, therefore, the groundwater table elevation for the site cannot be determined. The depth-to-water measurements are of limited use unless paired with other site data for precipitation, tree growth, etc.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780129237-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780129237-ORNL_CLOUD.html",
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"description": "This data set provides four related spatial data products for four study areas across the Brazilian Amazon: Manaus, Amazonas; Tapajos National Forest, Para Western (Santarem); Rio Branco, Acre; and Rondonia, Rondonia. Products include vector data showing (1) roads, (2) rivers, and (3) hypsography and (4) digital elevation model (DEM) images that were encoded from the hypsography vectors. There are 15 data files with this data set which includes 12 compressed *.zip files containing ArcInfo shape files and 3 GeoTIFFS.This data set contains vector data showing roads, rivers, and hypsography for each study area in ESRI ArcGIS shapefile format. The vectors were hand-digitized by the Images Company in Brazil from paper maps produced by the Brazilian government. Depending on the scale of the original maps, the digitization errors vary. For some maps, some vectors are missing. Data were manually checked for duplicate or extra vectors. These data sets were derived from several map sheets produced from aerial coverages dating from 1974 to 1978.The DEM images were encoded from the hypsography vectors and are provided in GeoTIFF format. The attribute value associated with each line and point in the vector segment is encoded into the image channel; the image channel is then filled in by interpolating image data between encoded vector data. For each DEM: 1 image channel with pixel resolution = 25m x 25m. DEM images are provided for Manaus, Tapajos National Forest, and Rondonia. The files for Rio Branco were unusable due to a documentation error.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS:The data providers note that due to limited resources, these data have been neither validated nor quality-assured for general use. For that reason, extreme caution is advised when considering the use of these data. - Any use of the derived data is not recommended because the results have not been validated.- However, the DEM, vectors, and orthorectified SAR data (related data set) can be used if the user understands how these were produced and accepts the limitations.",
"license": "proprietary"
},
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"description": "This data set provides three related land cover products for four study areas across the Brazilian Amazon: Manaus, Amazonas; Tapajos National Forest, Para Western (Santarem); Rio Branco, Acre; and Rondonia, Rondonia. Products include (1) orthorectified JERS-1 and RadarSat images, (2) land cover classifications derived from the SAR data, and (3) biomass estimates in tons per hectare based on the land cover classification. There are 12 image files (.tif) with this data set.Orthorectified JERS-1 and RadarSat images are provided as GeoTIFF images - one file for each study area.For the Manaus and Tapajos sites: The images are orthorectified at 12.5-meter resolution and then re-sampled at 25-meter resolution.For the Rondonia and Rio Branco sites: The images from 1978 are orthorectified at 25-meter resolution and then re-sampled at 90-meter resolution. Each GeoTIFF file contains 3 image channels: - 2 L-band JERS-1 data in Fall and Spring seasons and - 1 C-band RadarSat data.Land cover classifications are based on two JERS-1 images and one RadarSat image and provided as GeoTIFFs - one file for each study area. Four major land cover classes are distinguished: (1) Flat surface; (2) Regrowth area; (3) Short vegetation; and (4) Tall vegetation. The biomass estimates in tons per hectare are based on the land cover classification results and are reported in one GeoTIFF file for each study area.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.KNOWN PROBLEMS: The data providers note that due to limited resources, these data have been neither validated nor quality-assured for general use. For that reason, extreme caution is advised when considering the use of these data.Any use of the derived data is not recommended because the results have not been validated. However, the DEM and vectors (related data set), and orthorectified SAR data can be used if the user understands how these were produced and accepts the limitations. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777289829-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777289829-ORNL_CLOUD.html",
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"description": "The provided data were generated by the Integrated BIosphere Simulator (IBIS) terrestrial ecosystem model using data from the East Anglia Climate Research Unit climate record for the years 1921-1998. Data are included for the annual net ecosystem exchange of the surface, microbial respiration, root respiration, total soil respiration, soil moisture, leaf area index, drainage, and surface and subsurface runoff, for the entire Amazon and Tocantins basins. The data files are provided in netCDF format and standard ESRI ARCGIS ARC/INFO ASCIIGRID format. The netCDF files consist of either annual or monthly means from 1921 to 1998. The ASCII files are available only for the annual mean files.",
"license": "proprietary"
},
@@ -117385,7 +118217,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777285487-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777285487-ORNL_CLOUD.html",
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"description": "This data set contains 5-minute land use maps for agricultural activity in Amazonia. The data set was produced by the statistical fusion of agricultural census data from Brazil,Columbia, Bolivia, and Peru with the land cover data product from the Global Land Cover Facility. These land use maps indicate the estimated total amount of cropland and pasture (natural and planted) for the Amazon and Tocantins River basins in 1995 and 1980 and are suitable for use in models or other similar purposes. Data are provided in the netCDF format and the ARC/INFO GRID ASCII format.The 1995 data were generated from a fusion of agricultural census data and a satellite classification, and are described in Cardille, Foley, and Costa (2002). The fusion technique merges agricultural census data from Brazil, Columbia, Peru, and Bolivia with land cover data from the University of Maryland Global Land Cover Facility 1-km classification. This technique was used to derive an estimate of the mid-1990s total agriculture surface for the region, which was then apportioned according to agriculture census data into cultivated area, natural pasture, and planted pasture.The 1980 maps, including only the Brazilian portion of the Amazon/Tocantins river drainage basins, were created by scaling the mid-1990s snapshots backward in time using the relative increase or decrease in agriculture, as derived from mid-1980s census data and United Nations Food and Agriculture Organization (FAO) data (Cardille and Foley, 2003).",
"license": "proprietary"
},
@@ -117398,7 +118230,7 @@
"bbox": "-80, -21.12, -45, 6",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779736297-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779736297-ORNL_CLOUD.html",
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"description": "This data set provides continental-scale hydrological river flow routing parameter data for the Amazon and Tocantins River basins at 5 minute (~9 km) resolution (Costa et al., 2002). The data set includes four geospatial data files (in standard ESRI Arc/Info ASCII Grid format): (1) the river network (flow direction); (2) sinuosity of each of the main rivers, measured at 111 river sections in the basins; (3) depth to the water table; and (4) transmissivity of the aquifer. The latter two parameters were derived from measurements taken at 81 wells located throughout the basins. There is also a compressed file (*.zip) which contains the time series of monthly mean river discharge and long-term climatology (monthly mean) for the period of record at each of 122 fluviometric stations located throughout the basin. These files are provided in ASCII common-separated (.csv) format. Also included in this data set are two data files in *.csv format; one containing river discharge station location and drainage area information and one containing original well data.",
"license": "proprietary"
},
@@ -117411,7 +118243,7 @@
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"description": "The model output data provided were generated by the THMB 1.2 (Terrestrial Hydrology Model with Biogeochemistry) model which simulates the flow of water through groundwater systems, rivers, lakes and wetlands. The model operates at a 5-minute latitude-by-longitude grid with a 1-hour time step and requires as boundary conditions: topography, evaporation from water surfaces, surface runoff, base flow, and precipitation. Data are included for the mean monthly simulated water height above flood stage, mean monthly simulated river discharge, and mean monthly inundated area for the period 1939-1998 for the entire Amazon and Tocantins River basins. There are three netCDF files (.nc) with this data set.",
"license": "proprietary"
},
@@ -117424,7 +118256,7 @@
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"description": "This data set reports (1) total aboveground dry biomass based on detailed estimates of all live and dead plant material, (2) results from repeated surveys of aboveground biomass allowing the calculation of above-ground productivity, and (3) soil chemical and physical characteristics for 50 1-ha plots of undisturbed and fragmented central Amazonian rainforest within the Biological Dynamics of Forest Fragments Project (BDFFP) study area. The reported data are plot-level summaries based on plant and soil samples and measurements obtained over the 1997 to 2001 timeframe. The BDFFP study area is an experimentally fragmented landscape spanning 1,000 km2 located 70-90 km north of Manaus, Amazonas, Brazil. For additional information about the BDFFP and research conducted at the site, please visit their web site at http://pdbff.inpa.gov.br/index.html.There are six comma-separated ASCII data files with this data set.",
"license": "proprietary"
},
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"description": "This data set includes high-resolution geocoded mosaics derived from the Validation Overflight for Amazon Mosaics (VOAM) aerial video surveys as part of the Large-Scale Biosphere-Atmosphere (LBA) Experiment in the Amazon. The VOAM flights were carried out in the wet-season (June) 1999 in the Brazilian Amazon to provide ground verification for mapping of wetland cover in the Amazon Basin conducted by the Global Rain Forest Mapping (GRFM) Project JERS-1 (Japanese Earth Remote Sensing Satellite). Digital camcorder systems were installed in a Bandeirante survey plane operated by Brazil's National Institute for Space Research. The VOAM99 surveys circumscribed the Brazilian Amazon, documenting ground conditions at resolutions on the order of 1-m resolution for wetlands, forests, savannas, and human-impacted areas. Geocoded mosaics were generated by processing the aerial videography into GeoTIFF format, maximizing its usefulness for environmental monitoring applications. Other applications of the VOAM99 videography include acquisition of ground control points for image geolocation, forest biomass estimation, and rapid assessment of fire damage. Geocoded digital videography provides a cost-effective means of compiling a high-resolution validation data set for land cover mapping in remote, cloud-covered regions. ",
"license": "proprietary"
},
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"description": "This data set presents georeferenced digital video files from Validation Overflight for Amazon Mosaics (VOAM) aerial video surveys as part of the Large-Scale Biosphere-Atmosphere Experiment in the Amazon. The VOAM flights were carried out in the wet-season (June) 1999 in the Brazilian Amazon to provide ground verification for mapping of wetland cover with the Global Rain Forest Mapping (GRFM) Project JERS-1 (Japanese Earth Remote Sensing Satellite) mosaics of the Amazon basin. Digital camcorder systems were installed in a Bandeirante survey plane operated by Brazil's National Institute for Space Research. The VOAM99 surveys circumscribed the Brazilian Amazon, documenting ground conditions at resolutions on the order of 1-m (wide-angle format) and 10-cm (zoom format) for wetlands, forests, savannas, and human-impacted areas. Other applications of the VOAM videography include acquisition of ground control points for image geolocation, creation of a high-resolution geocoded mosaic of a forest study area, forest biomass estimation, and rapid assessment of fire damage. Geocoded digital videography provides a cost-effective means of compiling a high-resolution validation data set for land cover mapping in remote, cloud-covered regions.",
"license": "proprietary"
},
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"description": "This data set provides a map of wetland extent, vegetation type, and dual-season flooding state of the entire lowland Amazon basin. As described in Hess et al. (2015), the classified image was derived from the Global Rain Forest Mapping Project (GRFM) Amazon mosaics (Rosenqvist et al 2000; Siqueira et al. 2002) acquired during Oct.-Nov. 1995 and May-June 1996, corresponding to the low-flood and high-flood seasons for much of the central Amazon. Hess et al. (2003) mapped wetland extent, vegetative cover, and flooding state for an 18 degree \u00d7 8 degree portion of the central Amazon using the dual-season GRFM mosaics. This study extends the previous wetlands mapping to report the first validated estimate of wetland extent, cover, and flooding for the lowland Amazon basin. A wetlands mask was created by segmentation of the mosaics and clustering of the resulting polygons; a rules set was then applied to classify wetland areas into five land cover classes and two flooding classes using dual-season backscattering values. The mapped wetland area of 8.4 \u00d7 105 km2 is equivalent to 14 % of the total basin area (5.83 \u00d7 106 km2) and 17% of the lowland basin (5.06 \u00d7 106 km2). The mapped flooding extent is representative of average high and low-flood conditions for latitudes north of 6 degrees S; flooding conditions were less well captured for the southern part of the basin. The wetlands map is provided in GeoTIFF format using two coordinate systems: unprojected (Geographic) with pixel size of 3 arcseconds, and Albers Conical Equal Area with pixel size of 100 m.",
"license": "proprietary"
},
@@ -117476,7 +118308,7 @@
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"description": "The bathymetry data provided represent a continuous surface of interpolated point measurements of depth values of Lago Curuai, an Amazon River floodplain lake, upstream from Santarem, Para, Brazil, from measurements made in June of 2004. The first product contains the actual depth values (in meters) of the interpolated continuous surface saved as real numbers in both ENVI and GeoTIFF formats. Also available is a color scaled depth GeoTIFF image which has an embedded color scale bar. This secondary file is meant only for viewing but has the unique advantage of being a GeoTIFF file. Therefore, this map can be a background image with other projected files of interest in the area. Data provided in this data set were used to develop a methodology for processing and applying high resolution bathymetric data acquired with a Lowrance-480M ecosounder in the Amazon floodplain. This research was supported by the addition of Landast/TM images for planning and executing the survey. 4600 km of transects were processed semi-automatically and integrated into a georeferenced database. A digital elevation model with 15 m horizontal resolution and 1 cm vertical resolution was generated for the floodplain. The changes in inundated area and volume of water on the floodplain were estimated. Regression models were constructed to predict flood area and water stored volume from water level. The results of this research show that water level and flooded area mapped from images are good enough for estimating water stored volume in the Lago Grande de Curuai (Barbosa et al., 2006).",
"license": "proprietary"
},
@@ -117489,7 +118321,7 @@
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"description": "This data set reports measurements of aquatic macrophyte biomass, phenology, leaf characteristics, and length and diameter of stems of both submerged and unsubmerged macrophytes. Data were collected from sites in the Monte Alegre Lake region on the eastern Amazon River floodplain in Para, Brazil. Ten field surveys were made at approximately monthly intervals from December 2003 to November 2004. There is one comma-delimited data file with this data set.",
"license": "proprietary"
},
@@ -117502,7 +118334,7 @@
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"description": "This data set reports (1) concentrations of total, organic, and inorganic suspended solids; dissolved inorganic, and organic carbon; chlorophyll-a and (2) measurements of turbidity, ph, temperature, transparency, conductivity, and calculated carbon dioxide (CO2) in water samples collected from Lago Curuai (Lake Curuai), in the floodplain of the Amazon River south of Obidos, Para, Brazil. Approximately 70 stations were sampled during four phases of the hydrological cycle: receding (September 2003), low (November 2003), rising (February 2004), and high water (June 2004). There is one comma-delimited data file with this data set.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777830478-ORNL_CLOUD.html",
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"description": "This data set contains chlorophyll concentration maps of the Amazon River floodplain region from Parintins (Amazonas) to Almeirim (Para). These chlorophyll fraction maps were derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product (MOD09) for 19 months from April 2002 to December 2003. The study was conducted in a floodplain reach upstream from Santarem, Para, in order to assess seasonal changes in phytoplanktonic chlorophyll-a distributions in the floodplain Lake Curuai. MODIS reflectance data were acquired at four river stages: rising (April), high (June), decreasing (September), and low (November). Chlorophyll maps were derived and used to compute the weighted average of chlorophyll concentration from MODIS images in the region. Field measurements of suspended inorganic matter and chlorophyll-a in Lake Curuai were made almost concurrently with satellite overpasses (Barbosa, 2005). The images and the estimated chlorophyll concentrations were compared to measured chlorophyll concentrations at control points for different hydrological states. This data set may be applied to better understand the seasonal dynamics of primary production of the Amazon floodplains. The maps of chlorophyll-a concentration may be used to model spatial and temporal variations of primary production in this region.The monthly chlorophyll-a maps are provided as GeoTIFF files. There are two formats: (1) color-mapped pixels and (2) pixels as chlorophyll-a concentrations. These latter images are not intended for browsing. These images have pixel values that are the chlorophyll-a concentration in mg/m3 and need to be download and opened in GIS software.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779738298-ORNL_CLOUD.html",
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"description": "This data set reports lake sediment texture and porosity, carbon (C), nitrogen (N), and phosphorus (P) content of surficial sediments, 210Pb-derived nutrient accumulation rates in sediments, and burial rates of C, N, and P in sediments at eleven locations in Lake Calado, Amazonas, Brazil. Field samples were collected between February 1982 and August 1984. There are eight comma-delimited ASCII data files with this data set. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779737265-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779737265-ORNL_CLOUD.html",
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"description": "This data set reports monthly mean inundation areas (square kilometers) for four cover classes of Central Amazon wetlands habitat: Open water (OW), river channel (RC) class, macrophyte (MA) class, and a flooded forest (FF) class, which also incorporates a flooded shrub class. The full study area was a 1.77 million km2 quadrant covering the Central Amazon Basin. Inundation was also calculated from three subsets of this area: (1) covering only the Amazon/Solimoes River mainstem and (2) the Eastern and (3) the Western halves of this mainstem area. There is one comma-delimited ASCII data file in this data set.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781386124-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781386124-ORNL_CLOUD.html",
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"description": "This data set provides flux measurements of methane (CH4) and carbon dioxide (CO2) from surface waters to the atmosphere. It also provides CH4, CO2, and oxygen (O2) concentrations of surface water, and concentrations measured at several depths of the Balbina Reservoir in the central Amazon Basin, Amazonas, Brazil. The Balbina Reservoir was formed by impounding the Uatuma River in 1987. Reservoir surface water samples, bottom water samples, and gas samples from static flux enclosures were collected at 10 to 14 sites at monthly intervals between April and November of 2005, and 6 times in February, 2006. Water samples to determine the vertical profiles of temperature, dissolved O2, CH4, and CO2 were collected during the rainy and dry seasons immediately above the dam between September 2004 and February 2006. Water samples were collected downstream from the dam from July 2004 - November 2005 for analysis of CH4 and CO2 concentrations.There are three comma-delimited data files with this data set.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835418-ORNL_CLOUD.html",
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"description": "This data set reports methane (CH4) fluxes at the water-air interface and concentrations and isotopic signals of CH4 in the bubbles stirred up from the sediment in Tucurui and Samuel reservoirs in 2000 and 2001. Tucurui (deep) reservoir is located near Belem city in the Tocantins-Araguaia basin in the eastern Amazon. Samuel (shallow) reservoir is situated near Porto Velho city in the Jamari River, a tributary of the Madeira River in the western Amazon. Field samples were collected between June 2000 and September 2001. There are two comma-delimited ASCII data files in this data set. This study was carried out to identify differences in methane cycling between deep and shallow reservoirs (Lima, 2005). Isotopic and concentration analyses of methane in bubbles, dissolved in the water column, and emitted to the atmosphere demonstrate that water depth is critical regarding methane emissions from hydroreservoirs in the Amazon. Methanotrophic activities are greater in Tucurui (deep) while light isotopic methane is directly released from Samuel (shallow). Therefore, the methanotrophic layer of the deep reservoir is more efficient in oxidizing methane before reaching the atmosphere, since the quantity of methane in the sediments of the reservoirs were equivalent.",
"license": "proprietary"
},
@@ -117580,7 +118412,7 @@
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"description": "This data set reports the monthly record of inundated area, in square km, for six floodplain and open water regions in South America. The following floodplains were analyzed: (1) mainstem Amazon River floodplain in Brazil; (2) Llanos de Mojos (Beni and Mamore rivers) in Bolivia; (3) Bananal Island (Araguaia River) in Brazil; (4) Roraima savannas (Branco and Rupununi rivers) in Brazil and Guyana; (5) Llanos del Orinoco (Apure and Meta rivers) in Venezuela and Colombia; and (6) Pantanal wetland (Paraguay River) in Brazil. Flooded area was estimated at monthly intervals from December 1978 through August 1987 for the Amazon mainstem region and from January 1979 through August 1987 for the other five regions. Inundated area was determined from SMMR (Scanning Multichannel Microwave Radiometer) passive microwave data. Area estimates include permanent open water as well as land subject to seasonal inundation. This data set contains five data files: two comma-delimited (.csv) ASCII data files providing the monthly inundation area values for six floodplain and open water regions in South America; a compressed (.zip) file providing seventeen ESRI Shape files for the region bounding polygons; and two .csv files providing information about the region bounding polygons and latitude/longitude verticies.",
"license": "proprietary"
},
@@ -117593,7 +118425,7 @@
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"description": "This data set includes bidirectional reflectance (BDR) spectra and water-quality data of floodplain lakes of the Solimoes and Negro Rivers in the central Amazon basin, Amazonas, Brazil. Samples and measurements were collected during July 2000 to August 2000. Bidirectional reflectance factors were recorded, at 3 nm intervals from 400 to 900 nm, concurrently with in situ measurements of water temperature and Secchi depth, and collection of samples for analysis of optically active components including total suspended solids, chlorophyll, and dissolved organic carbon (DOC).The lakes sampled were in the low-lying varzea of the Solimoes River (\"varzea\" is the local name for the floodplain formed by the overflow of white-water rivers) and igapo (\"igapo\" is the local name for the floodplain formed by the overflow of black-water rivers) of the Negro River.There are two comma-delimited data files with this data set.",
"license": "proprietary"
},
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"description": "This data set provides estimates of daily and monthly carbon dioxide (CO2) and methane (CH4) diffusive and ebullitive flux for dry and flooded areas from two study sites, Cuini and Itu, in the interfluvial wetlands of the upper Negro River basin, Brazil. CO2 (ebullitive and diffusive) and CH4 diffusive flux measurements were made one day each month from February 2005 through January 2006 in both permanently and seasonally flooded areas. For the remaining days of each month, fluxes were calculated as the mean of the two measurements bracketing that time period, times the area flooded each day. Total site area, dry area, and seasonally varying flooded area estimates for the two wetlands were determined through analysis of synthetic aperture radar data from Radarsat images. From these estimates, the total flux of CO2 and CH4 for the sites was calculated. Values for CH4 ebullitive flux were determined from a constant for each area based on whether the water was rising or falling and the area flooded. Hydrologic measurements were taken from April 2004 through January, 2006.There are three comma-separated (.csv) data files with this data set.",
"license": "proprietary"
},
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"description": "This data set provides (1) soil maps for Brazil that are digital versions of the MAPA DE SOLOS DO BRASIL (EMBRAPA, 1981) classified at three levels of detail, 19-class, 70-class and 249-class; (2) vegetation maps for Brazil that are digital versions of the MAPA DE VEGETACAO DO BRASIL (IBGE, 1988) classified at three levels of detail, 13-class, 59-class, and an overprint (combination) class; and (3) a land cover map for all of South America that was derived from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) data over the time period 1987 through 1991 (Stone et al., 1994).The seven soil, vegetation, and general land cover classification maps are provided as GeoTIFF files (*.tif) files. There are also three companion files (.pdf), one each, for the soil, vegetation, and land cover maps, with information on map units, class values, codes, and descriptions.",
"license": "proprietary"
},
@@ -117632,7 +118464,7 @@
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"description": "This data set provides Ecosystem Demography Model (ED) estimates of potential above-ground net primary production (NPP) (kg C/m2/y), potential average live biomass (kg C/m2), and potential average soil carbon (kg C/m2) for the Brazilian Amazon at 1 degree resolution. Ecosystem Demography Model predicts both ecosystem structure (e.g. above and below-ground biomass, vegetation height and basal area, and soil carbon stocks) and corresponding ecosystem fluxes (e.g. NPP, NEP, and evapotranspiration) from climate, soil, and land-use inputs. Estimates for the Brazilian Amazon include the effects of natural disturbances such as windthrow and fire, but do not include the effects of human land use. To produce these estimates, ED was forced with ISLSCP I data for 1987 and 1988 and averaged into a single average year (Moorcroft et al., 2001).The data are provided for the three estimates in both ASCII text and in NetCDF formatted files. ",
"license": "proprietary"
},
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"description": "This data set reports observations of fires in the vicinity of Maraba, Para, Brazil, from November 3-5th, 2001, and in Mato Grosso, Brazil, between Cuiaba and Alta Floresta, for July 12-15th, 2002. These ground-based data were collected by visual inspection from roads primarily during daylight hours. Data include fire position and time, estimates of fire size, and type of vegetation burned. There is one comma-delimited ASCII file with this data set.",
"license": "proprietary"
},
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"description": "This data set includes 16 zipped archives of shapefiles of cities, rivers and streams, roads, and study area boundaries of several Amazonian study sites: Altamira, Santarem, Bragantina, and Ponta de Pedras, in the state of Para, and 1 site at Machadinho D'Oeste, in the state of Rondonia. Data from Brazil were digitized from Instituto Nacional de Colonizacao e Reforma Agraria (INCRA) maps and other data from Instituto Brasileiro de Geografia e Estatistica (IBGE). These products were prepared in the 2000-2004 time period. The data of creation for the source material is unknown.",
"license": "proprietary"
},
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"description": "This data set includes 15 zipped archives of rectified .tif format Landsat 5 TM and Landsat 7 ETM+ scenes from near the study sites of Altamira, Santarem, Ponta de Pedras, and Bragantina in the state of Para, Brazil and Machadinho D'Oeste in Rondonia, Brazil. Dates represent the most cloud-free image retrievals from 1985-2004 and are therefore not continuous. These images may be useful to evaluate potential environmental impacts resulting from the establishment of colonization projects in the Amazon. ",
"license": "proprietary"
},
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"description": "This data set reports daily total precipitation data retrieved from Brazilian National Institute of Meteorology (INMET) network for three stations near two Amazonian research sites: Altamira, and Santarem, from 1961-1998.Daily precipitation totals are provided in one comma-separated ASCII file for three stations in Para, including two sites in Altamira: Altamira City and on the Transamazon Highway at Km 100 near Medicilandia (operated by EMBRAPA); and, one site in Santarem: Taperinha. Data availability varies by station (sublocation): Altamira City from 1961-1990, Transamazon Km 100 from 1982-1998, and Taperinha from 1983-1992.",
"license": "proprietary"
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"description": "This data set reports basic soil structure and composition information for five Amazonian research sites: Altamira, Bragantina, Tome-Acu, and Ponta de Pedras, all four in the state of Para, Brazil; and one site in Yapu, Colombia. Soil characteristics reported for all five study sites include cation information (e.g., H, Al, Mg, K, Na, S), percent of soil C, N, and organic matter, soil texture/composition and color, pH, and land use history. Soil bulk density and tons of carbon/ha are reported for only three of the study sites: Altamira, Bragantina, and Tome-Acu. All of the data are provided in one comma-separated data file.The five study areas represent characteristic differences in soil fertility and a range of land uses typical of the Amazon region. One of these areas, Altamira, is characterized by above average pH, nutrients, and texture. The other four areas are more typical of the 75 percent of the Amazon that is characterized by Oxisols and Ultisols, with well-drained but low pH and low levels of nutrients. Ponta de Pedras in Marajo Island, located in the estuary, is composed of upland Oxisols and floodplain alluvial soils. Igarape-Acu in the Bragantina region is characterized by both nutrient-poor Spodosols and Oxisols. Tome-Acu, south of Igarape-Acu, represents a mosaic of Oxisols and Ultisols. Yapu, in the Colombian Vaupes, is composed of patches of Spodosols and Oxisols. Three of the areas are colonization regions at various degrees of development: Altamira is a colonization front that opened up in 1971, whereas Tome-Acu was settled by a Japanese population in the 1930s, and Bragantina was settled in the early part of the twentieth century. Marajo (Ponta de Pedras) is the home of caboclos, whereas Yapu is home to Tukanoan Native American populations. In these study areas slash-and-burn cultivation as well as plantation agriculture and mechanized agriculture are employed. Length of fallows vary in these communities. The two indigenous areas leave their land in longer fallow than do the three colonization areas, and the proportion of land prepared from secondary forests increases with length of settlement as the stock of mature forest declines over time.",
"license": "proprietary"
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"description": "This data set includes classified land cover transition maps at 30-m resolution derived from Landsat TM, MSS, ETM+ imagery and aerial photos of Altamira, Santarem, and Ponta de Pedras, in the state of Para, Brazil. The Landsat images were classified into several types of land use (e.g., forest, secondary succession, pasture, annual crops, perennial crops, and water) and subjected to change detection analysis to create transition matrices of land cover change. Dates of acquired images represent the most cloud-free image retrievals from 1970-2001 for each site and are therefore not continuous. There are 3 GeoTIFF files (.tif) with this data set.",
"license": "proprietary"
},
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"description": "This data set contains two files with vegetation data for five Amazonian sites: Altamira, Bragantina, Tome-Acu, and Ponta de Pedras, all in the state of Para, and Yapu, Colombia. One file describes vegetation composition and structure (basal area, biomass, species composition) with different land use histories for all five study sites; the second file describes more specific information about individual plant characteristics (family/species names, DBH, stem and total plant height) within each plot.",
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},
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"description": "This data set includes orthorectified Landsat ETM+ scenes across the Legal Amazon region. At least one scene is provided for each spatial tile, representing the most cloud-free retrievals from mid-1999 through late 2001 (Fig. 1). Dates are therefore not continuous but include scenes from July 8, 1999 to November 13, 2001. Data have been atmospherically corrected and orthorectified. The individual images should be highly useful as they include very little cloud cover, but they should not be mosaicked together since retrieval dates vary.Data files (and format) included for each scene are: six multispectral bands (tif), two thermal bands (tif), one panchromatic band (tif), two preview files (jpg), and one metadata file (txt). The individual Geotiff files have been g-zipped and subsequently all of the files for a scene have been g-zipped together for ordering convenience.",
"license": "proprietary"
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"description": "This data set includes Landsat TM scenes from across the Legal Amazon region. A single image is provided for each spatial tile, representing the most cloud-free retrieval from 9/21/86 to 9/17/94. All files are in a single directory, including one band-sequential (bsq) file and one database (ddr) file for each scene.",
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"description": "This data set contains GIS coverage constructed from measurements taken of four logged areas in Cauaxi, Para, Brazil. Logged areas were selectively harvested either using conventional logging techniques or using reduced-impact logging (RIL) techniques (Pereira et al., 2002). Two areas were harvested with each technique in 1996 and two additional areas were harvested in 1998. Coverage includes log decks (patios), roads, skids trails, tree-fall locations, and logging area (block) boundary. These field surveys were conducted as part of an investigation of canopy damage following selective logging by two different techniques (Asner et al., 2004).Coverage is in ArcInfo interchange format (*.e00). The geographic projection of the data is UTM zone 22, South WGS84 datum.",
"license": "proprietary"
},
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"description": "This data set contains GIS coverages constructed from measurements taken of logged areas in Juruena, Mato Grosso. Classes include roads, skids trails, tree crowns, tree-fall locations, and block boundary (Asner et al., 2004). Coverages are in ArcInfo SHAPE format (*.shp), UTM projection, using the WGS84 datum.",
"license": "proprietary"
},
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"description": "This data set contains GIS coverages constructed from measurements taken of logged areas in the Tapajos National Forest region of Para, Brazil in 1996 and 1998 (Asner et al., 2004). Coverages include log decks (patios), roads, skids trails, tree-fall locations, and block boundary. They are in ArcInfo SHAPE format (*.shp). The Tapajos data are in latitude/longitude using the WGS84 datum.",
"license": "proprietary"
},
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"description": "This data set reports forest biophysical measurements from a rainfall exclusion experiment conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil from 1998 to 2006. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002). Data are reported for stem inventory, tree diameter at breast height (DBH) and height, dendrometer measurements of tree diameter growth increments, canopy density, leaf area index (LAI), and coarse and fine litter mass.The measurements were made monthly from September 28, 1998 through November 10, 2006. There are six comma-delimited data files (.csv), one text file (.txt), and two companion files with this data set. ",
"license": "proprietary"
},
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"description": "This data set provides the results of the two modeled scenarios for future patterns of deforestation across the Amazon Basin from 2002 to 2050. This larger defined Amazon Basin (PanAmazon area) includes the Amazon River watershed, the Legal Amazon in Brazil, and the Guiana region. The model SimAmazonia was used to simulate monthly deforestation in the Amazon Basin from 2002 to 2050 for two scenarios: (1) a \"Business-as-Usual\" scenario, which considered the deforestation trends across the basin and projected the rates by using historical images and their variations from 1997 to 2002 and then added to that the effect of paving a set of major roads, and (2) a \"Governance\" scenario, that also considered the current deforestation trends, but assumed a 50% limit imposed for deforested land within each basin's subregion, and that existing and proposed Protected Areas (PAs), play a decisive role in limiting deforestation as well (Soares et al., 2006).The provided data products include one GeoTiff (*.tif) for each year (2002 to 2050) for both model scenarios for a total of 98 files. The files have been compressed in two *.zip files, one for each model scenario. There is also one comma-delimited file that contains the model input data derived from satellite deforestation maps. ",
"license": "proprietary"
},
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"description": "This data set provides measurements of specific leaf area and monthly phenological observations for selected tree and vine species at the km 67 Seca Floresta site, Tapajos National Forest, Para, Brazil. The study site was part of a rainfall exclusion experiment that was conducted from 1999-2006 to develop an understanding of the physical processes driving the observed soil water dynamics at the site. Phenological observations were made from 2001-2004 in rainfall exclusion and control plots. In total, 3,224 leaves were observed across 223 individuals and 56 species. The phenological observations included the month and year when a given leaf was first observed fully expanded and last observed alive. Starting in July 2004 and continuing through January 2006, leaves that had been followed in the phenology study were sampled and leaf area and mass were determined and the specific leaf area was calculated.There are two comma-delimited data files with this data set.",
"license": "proprietary"
},
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"description": "A simple GIS soil-water balance model for the Amazon Basin, called RisQue (Risco de Queimadasa -- Fire Risk), was used to conduct an analysis of spatial and temporal patterns of drought in moist tropical forests and the complex relationships between patterns of drought and forest fire regimes from 1995 through 2001. The provided data products are the model output estimates of maximum plant-available soil water (PAWmax) at 10 m depth at 8 km resolution and model data inputs of monthly precipitation and evapotranspiration. RisQue estimates PAWmax at 10 m depth starting with a map of PAWmax (1-2 m depth) developed using 1,565 RADAMBRASIL soil texture profiles and empirical relationships between soil texture and critical soil water parameters and then interpolated to 8 km resolution. In RisQue, plant-available soil water (PAW) is depleted by monthly evapotranspiration estimated using the Penman Monteith equation and satellite-derived radiation and recharged by monthly precipitation.There are three data files with this data set, two *.zip, and one GeoTIFF image (.tif). The *.zip files expand to 83 *.asc files of evapotranspiration and 89 *.asc files for precipitation data. The image (.tif) is a map of maximum percent available water at 10 m depth. All the files in this data set are in standard arc/info asciigrid format at 8 km resolution.",
"license": "proprietary"
},
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"description": "This data set contains biomass estimates for coarse roots measured on the forest floor and measurements of fine root growth down to 2-m depth at the km 67 Rainfall Exclusion Experiment site, Tapajos National Forest, Brazil. The study site was part of a rainfall exclusion experiment that was conducted from 1999-2006 to develop an understanding of the physical processes driving the observed soil water dynamics at the site. All surface roots intersected along three 1000-m long x 1-m wide transects were identified to species, measured, and biomass calculated. The collections were made on January 26, 2001 during the experimental rain exclusion period.The fine root growth was measured from 0.5-m to 2-m depth with a rhizotron. The rhizotron tubes were inserted into deep soil pits in the control and treatment plots. Average root growth measurements are provided by depth interval on a monthly basis from July 25, 2000 to December 14, 2003. DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: There are discrepancies with the documentation, collection dates reported and collection method for fine roots utilizing rhizotrons. ",
"license": "proprietary"
},
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"description": "This data set provides a single raster image containing the spatial distribution of aboveground live forest biomass of the Amazon basin. This product was derived using a methodology based on a combination of land cover map, remote sensing derived metrics, and more than 500 forest plots distributed over the basin (Saatchi, et al., 2007).The distributed map was produced in ENVI, in Tiff format and it contains forest biomass divided among 11 classes at 1 km spatial resolution with reasonable accuracy (better than 70%). Remote sensing and ground data used in this product were collected from 1990-2000. The Biomass map represents average biomass distribution over the Amazon basin over this period and was used to estimate the total carbon stock of the basin, including the dead and belowground biomass.",
"license": "proprietary"
},
@@ -117879,7 +118711,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777844591-ORNL_CLOUD.html",
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"description": "This data set contains two image mosaics of L-band radar backscatter and two image mosaics of first order texture. The two backscatter images are mosaics of L-band Radar Backscatter at Horizontal-Horizontal (HH) Polarization created from 1,500 images collected by the Japanese Earth Resources Satellite-1 (JERS-1) Synthetic Aperture Radar (SAR) over the Amazon River Basin as part of the Global Rainforest Mapping Project (GRMP). These backscatter image mosaics were developed using data collected over 62 days from August to November of 1995 for the peak of the dry season and for 62 days from May to June of 1996 during the peak of the wet season. The two image mosaics are at 3 arc-sec resolution. Data provided under this project are resampled images at 30 arc-sec resolution (or about 1 km resolution). For each radar backscatter image, first order texture statistical information was derived and is distributed along with the image mosaic.This data set contains four images each in both geotiff and ENVI formats, provided in eight zip files. The four files in ENVI file format contain o_envi? in their file name and when extrapolated contain an envi image (*_envi.dat) and an envi image header file (_envi.hdr). The four files in geotiff format contain o_geotiff? in their file name and when extrapolated contain *.tif and *.tfw file pairs. See Section 2 for more information about the characteristics of these data files.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777847802-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777847802-ORNL_CLOUD.html",
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"description": "This data set contains proportional estimates for the vegetative cover types of woody vegetation, herbaceous vegetation, and bare ground over the Amazon Basin for the period 2000-2001. These products were derived from all seven bands of the Moderate-resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA's Terra satellite. A set of MODIS 32-day composites were used to create the vegetation cover types using the Vegetation Continuous Fields (VCF) (Hansen et al., 2002) approach which shows how much of a land cover such as \"forest\" or \"grassland\" exists anywhere on the land surface. The VCF product may depict areas of heterogeneous land cover better than traditional discrete classification schemes which shows where land cover types are concentrated.The original MODIS products are 500-m spatial resolution and are derived from 2000-2001 data products. The data were resampled to 1-km resolution for the regional study under this project, and provided as 3 separate cover type files in ENVI and GeoTIFF file formats that are provided in six zipped files. These products are registered to the rest of the regional data sets over the Amazon basin. These data are also available for download from the Global Land Cover Facility Website (http://modis.umiacs.umd.edu/). ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781573934-ORNL_CLOUD.html",
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"description": "This data set provides physical roughness maps of vegetation canopies in the Amazon Basin. The images are estimates of aerodynamic roughness length (Z0) and zero plane displacement height (D0) at 1-km spatial resolution. The aerodynamic roughness length (Z0) is an important parameter to determine the vertical gradients of mean wind speed and the conditions for momentum transfer over a vegetated or bare rough surface.The maps were produced from a multivariate regression model algorithm developed from field-measured vegetation structure and remote-sensing data. The data input sources included Shuttle Radar Topography Mission (SRTM) (Saatchi, 2013), JERS-1, MODIS, and field data from vegetation biomass plots over the Amazon basin, as well as tower-based wind profile measurements, and roughness parameters from LBA tower sites. There are two GeoTIFF (.tif) files with this data set. ",
"license": "proprietary"
},
@@ -117918,7 +118750,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781607897-ORNL_CLOUD.html",
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"description": "This data set provides Normalized Difference Vegetation Index (NDVI) composite images of the Amazon Basin for the years 1999-2000 at approximately1-km spatial resolution. The images were from the VEGETATION 1 sensor, aboard the SPOT 4 satellite.Ten day composite images were reprocessed through several filters for cloud removal. Monthly NDVI data were used to create five metrics: maximum NDVI, minimum of 6 greenest months, range of NDVI between min and max, mean NDVI dry months, and mean NDVI wet months. There are five GeoTIFF (.tif) files with this data set.",
"license": "proprietary"
},
@@ -117931,7 +118763,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2768953357-ORNL_CLOUD.html",
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"description": "This dataset provides a subset of the SRTM30 Digital Elevation Model (DEM) elevation and standard deviation data for the Amazon Basin. SRTM30 is a near-global digital elevation model (DEM) comprising a combination of data from the Shuttle Radar Topography Mission (SRTM), flown in February, 2000, and the earlier U.S. Geological Survey's GTOPO30 data set. The SRTM30 resolution is 30 arc-sec or about 1 km. In processing the SRTM data, to combine with GTOPO30, the data were resampled from 3 arc-sec to 30 arc-sec. Provided here are the mean elevation and the standard deviation (STD) of the data points used in the averaging. The STD is thus an indication of topographic roughness useful in some applications.",
"license": "proprietary"
},
@@ -117944,7 +118776,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777370025-ORNL_CLOUD.html",
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"description": "This image was collected by the Hyperion sensor on 10-July-2004 at 13:16:16 GMT. It was calibrated to apparent surface reflectance using the ACORN atmospheric model.The Hyperion imager has a spectral range of 400-2500 nm, a spectral resolution of 10 nm, spatial resolution of 30 m, and a swath width of 7.8 km. Sampling is scene based (256 samples, 512 lines) (http://eo1.usgs.gov/sensors.php). Through these large number of spectral bands, complex land ecosystems can be imaged and accurately classified.Data from the EO-1 Hyperion imaging spectrometer may greatly increase our ability to estimate the presence and structural attributes of selective logging in the Amazon Basin using four biogeophysical indicators not yet derived simultaneously from any satellite sensor: 1) green canopy leaf area index; 2) degree of shadowing; 3) presence of exposed soil and; 4) non-photosynthetic vegetation material. Airborne, field and modeling studies have shown that the optical reflectance continuum (400-2500 nm) contains sufficient information to derive estimates of each of these indicators. Our ongoing studies in the eastern Amazon basin also suggest that these four indicators are sensitive to logging intensity. Satellite-based estimates of these indicators should provide a means to quantify both the presence and degree of structural disturbance caused by various logging regimes.",
"license": "proprietary"
},
@@ -117957,7 +118789,7 @@
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"description": "This data set provides measurements for soil physical and chemical properties, rooting depth and weight, leaf area index (LAI), plant area index (PAI), biomass, fraction of photosynthetically active radiation (fPAR), and ground-based reflectance measurements of soil and litter samples. The samples were collected from 23 areas within the Brazilian research sites of the Brasilia National Park (BNP) and Aguas Emnendadas Ecological Station (AE), Brasilia; Cangacu Research Center, Tocantins; and Tapajos National Forest, Para.The research areas were in the most intensely stressed areas in Brazil, with rapid and aggressive land use conversions in forested and cerrado-transition areas. These field measurements were conducted from June to July 2002. There are 61 comma-delimited (.csv) data files with this data set.",
"license": "proprietary"
},
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"description": "This data set provides measurements for foliar nutrients from logging blocks in the Tapajos National Forest, Para Western Santarem, Brazil. Data are included for calcium (Ca), phosphorus (P), magnesium (Mg), nitrogen (N), and potassium (K) concentrations. In March 2003 foliar samples were collected from the cover types remaining after selective logging in 2002: forest, tree-fall gaps, skids, roads, and deck areas. Fresh foliage was also collected in March 2003, from 192 upper canopy species at an intact forest site 17 km from the logging area. There are two data files with this data set.",
"license": "proprietary"
},
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"description": "This data set provides Landsat Enhanced Thematic Mapper Plus (ETM+) imagery, derived classified land cover products, and cloud-water masks for selected Brazilian states (Acre, Amapa, Amazonas, Maranhao, Mato Grosso, Para, Rondonia, and Roraima) for the years 1999-2002. The Landsat ETM+ images were processed to derive fractional land cover types (photosynthetic vegetation [PV], non-photosynthetic vegetation [NPV], and bare substrate) by application of the Carnegie Landsat Analysis System (CLAS) methodology (Asner et al., 2005). CLAS utilizes a quantitative determination of fractional land cover at the subpixel scale (e.g., within each Landsat 30 x 30 m pixel). The resulting images display estimates of subpixel land cover fraction values including free of clouds, cloud shadows, and water. There are 584 *.zip files in this data set which when expanded, contain a total of 1,717 (*.tif) images files (GeoTiff Standard format).",
"license": "proprietary"
},
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"description": "This data set provides the results of analyses of Landsat Enhanced Thematic Mapper Plus (ETM+) images for selective logging activity in the Brazilian states of Para, Mato Gross, Rondonia, Roraima, and Acre over the years 1999 through 2001. Images were analyzed using the Carnegie Landsat Analysis System (CLAS) to detect and to quantify the amount of damage due to selective logging in the major timber-production states of the Brazilian Amazon. This approach provided automated image analysis using atmospheric modeling for detection of forest canopy openings, surface debris, and bare soil exposed by forest disturbances; and pattern-recognition techniques. CLAS provides detailed measurements of forest-canopy damage at a spatial resolution of 30 x 30m. Fifteen GeoTiff format files are included -- one for each of the three years from 1999-2001 for each of the five states. Each GeoTiff is a single band image where each pixel represents if logging activity was or was not detected. A zero (0) value indicates that no logging was detected, while a value of one (1) indicates that damage from logging was detected. The 15 GeoTiff (*.tif) files have been compressed into one *.zip file.",
"license": "proprietary"
},
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"description": "This data set provides measurements for soil nutrients from areas that were selectively logged and from control areas in the Tapajos National Forest, Para Western Santarem, Brazil. Data are included for calcium (Ca), phosphorus (P), magnesium (Mg), nitrogen (N), aluminum (Al), iron (Fe), silicon (Si), carbon 13, nitrogen 15, and potassium (K) concentrations. In addition, data are included for Phosphorus fractionation which was performed on a subset of the soils, and soil bulk density measurements. The samples were from clay-dominated (oxisols) soils.",
"license": "proprietary"
},
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"description": "This data set contains field observations, corresponding GPS points, and point and polygons of deforested areas in the state of Mato Grosso, Brazil, for the period August 2003 to July 2004. The field observations were conducted in the forested areas between Nova Mutum and Sinop, MT. These data were part of a study to validate Moderate Resolution Imaging Spectroradiometer (MODIS) data at 250-m resolution for the detection of deforested areas.There are 16 data files with this data set. This includes 10 shapefile (.shp) and six comma-separated files (.csv).",
"license": "proprietary"
},
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"description": "This data set contains field observations, corresponding GPS points, and point and polygons of deforested areas in the state of Mato Grosso, Brazil, for the period March 17-24,2005. Fieldwork was conducted in the regions surrounding Sinop, Mato Grosso, with specific emphasis on large clearings occurring in the Xingu Basin. The field campaign was designed to validate preliminary MODIS deforestation products designed to detect deforestation during the wet season. There are five data files with this data set: four shapefiles (.shp) and one comma-separated file (.csv).",
"license": "proprietary"
},
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"description": "This data set, LBA-ECO LC-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil, provides land cover classifications for Mato Grosso, Brazil, for the years 2000-2001 and 2003-2004. The classifications were derived from annual vegetation phenology information from a time series of Collection 4, 16-day MODerate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI), and the Enhanced Vegetation Index (EVI) vegetation data, at 250-m resolution. A decision tree classifier was trained using field observations and Landsat TM data of land cover from 2003-2004 to identify seven land-cover classes. The classifier was applied to the 2000-2001 and 2003-2004 MODIS ENVI and EVI data. There are two GeoTIFF (.tif) files with this data set.",
"license": "proprietary"
},
@@ -118061,7 +118893,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780900765-ORNL_CLOUD.html",
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"description": "This data set contains proportional estimates for the vegetative cover types of tree cover, herbaceous vegetation, and bare ground over South America for the period 2000-2001. These products were derived from all seven bands of the Moderate-resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA's Terra satellite. A set of 500-m MOD09A1 Surface Reflectance 8-day minimum blue reflectance composites were used as input data. To reduce the presence of cloud shadows, The data were converted to 40-day composites using a second darkest albedo (sum of blue, green, and red bands), and the Vegetation Continuous Fields (VCF) algorithmn was utilized (Hansen et al., 2002). The VCF shows how much of a land cover such as forest or grassland exists anywhere on the land surface. The VCF product may depict areas of heterogeneous land cover better than traditional discrete classification schemes which shows where land cover types are concentrated. There are three images provided in GeoTIFF format.",
"license": "proprietary"
},
@@ -118074,7 +118906,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780155131-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780155131-ORNL_CLOUD.html",
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"description": "This data set provides (1) areal estimates of deforestation events (>25 ha) that were identified from 2001-2004 in Mato Grosso by the Brazilian Institute for Space Research (INPE) as part of the Program for the Estimation of Deforestation in the Brazilian Amazon (PRODES) and (2) the classification of the post-deforestation land use as either cropland, cattle pasture, or not in production (deforested areas that were never fully cleared or returned immediately to secondary forest) in the years after the large deforestation events from 2002-2005. Data are provided in ESRI shapefile format. There are five compressed (*.zip) data files with this data set. Each shapefile represents one year of post-deforestation land use. Land use in the years following deforestation was estimated using annual time series of MODIS NDVI (normalized difference vegetation index) and EVI (enhanced vegetation index). Metrics of vegetation phenology derived annual time series of MODIS NDVI and EVI data were analyzed using a decision-tree classifier to characterize the major cover type in each area of new deforestation. Post-deforestation land use for each large deforestation event was classified based on the classification of MODIS phenology metrics for all years following deforestation during 2002-2005. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784895558-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784895558-ORNL_CLOUD.html",
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"description": "This data set contains data associated with MODIS fire maps generated using two different algorithms and compared against fire maps produced by ASTER. These data relate to a paper (Morisette et al., 2005) that describes the use of high spatial resolution ASTER data to evaluate the characteristics of two fire detection algorithms, both applied to MODIS-Terra data and both operationally producing publicly available fire locations. The two algorithms are NASA's operational Earth Observing System MODIS fire detection product and Brazil's National Institute for Space Research (INPE) algorithm. These data are the ASCII files used in the logistic regression and error matrices presented in the paper. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784831948-ORNL_CLOUD.html",
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"description": "Satellite fire detection was determined from two sensors, the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-12 and the Moderate Resolution Imaging Spectroradiometer (MODIS) on both the Terra and Aqua platforms, for 2001- 2003 to characterize fire activity in Brazil, giving special emphasis to the Amazon region. Active fire data for AVHRR/NOAA-12 was produced using a fixed threshold fire detection technique based on the algorithm developed by the Centro de Previsao do Tempo e Estudos Climaticos (CPTEC/INPE) (Setzer and Pereira, 1991; Setzer et al., 1994; Setzer and Malingreau, 1996). Active fire data for MODIS/Terra and MODIS/Aqua was produced using a contextual fire detection technique based on NASA-University of Maryland algorithm (Justice et al., 2003; Giglio et al.2003).Resulting fire counts were compared for major biomes of Brazil (Figure 1), the nine states of the Legal Amazon (e.g., Tocantins, Figure 2), and two important road corridors in the Amazon region (Figure 3). In evaluating the daily fire counts, there is a dependence on variations in satellite viewing geometry, overpass time, atmospheric conditions, and fire characteristics (Schroeder et al., 2005). The data provided are the coordinates of daily active vegetation fires in Brazil for 2001 through 2003 at 1km resolution for both AVHRR and MODIS sensors. Data are provided in both Arcview (shape file format) and ASCII comma separated file formats. Vector files for the major biomes of Brazil, the nine states of the Legal Amazon, and two important road corridors in the Amazon region are also included.",
"license": "proprietary"
},
@@ -118113,7 +118945,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777369007-ORNL_CLOUD.html",
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"description": "This data set contains ASTER sensor Level-1B satellite imagery over controlled burns in the State of Roraima in Northern Brazil on January 19 and 28, 2003, plus simultaneously collected soil and near-surface air temperature profiles on January 28th. The ASTER imagery is provided in 14 zipped files containing HDF-EOS files (*.hdf and *.met file pairs), while the sample-based temperature profiles, one for the air the other for the ground, are provided as comma separated ASCII files.",
"license": "proprietary"
},
@@ -118126,7 +118958,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784834773-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784834773-ORNL_CLOUD.html",
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+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGJhLWVjbyBsYy0yMiBwb3N0LWRlZm9yZXN0YXRpb24gbGFuZCB1c2UsIG1hdG8gZ3Jvc3NvLCBicmF6aWw6IDIwMDEtMjAwNVwiLFwiT1JOTF9DTE9VRFwiLFwiTEMyMl9Qb3N0X0RlZm9yZXN0YXRpb25fTFVMQ18xMDk5XCIsXCIxXCIsMjc4MDE1NTEzMSwyXSIsInVtbSI6IltcImxiYS1lY28gbGMtMjIgcG9zdC1kZWZvcmVzdGF0aW9uIGxhbmQgdXNlLCBtYXRvIGdyb3NzbywgYnJhemlsOiAyMDAxLTIwMDVcIixcIk9STkxfQ0xPVURcIixcIkxDMjJfUG9zdF9EZWZvcmVzdGF0aW9uX0xVTENfMTA5OVwiLFwiMVwiLDI3ODAxNTUxMzEsMl0ifQ%3D%3D/LC24_Basin_Scale_Hot_Pixels_2001_882_1",
"description": "This data set provides the number of hot spots detected across the legal Amazon Basin at 5- km resolution by the AVHRR (Advanced Very High Resolution Radiometer) on NOAA 12, 14, 15, 16, 17, and 18 satellites for the entirety of 2001 (January 1 - December 31). Only hot spots detected at night are included. This data is useful for modeling fire events and evaluating human impacts on the Amazon Basin using fire as an indicator of anthropogenic disturbance (Arima et al., 2007).",
"license": "proprietary"
},
@@ -118139,7 +118971,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835245-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835245-ORNL_CLOUD.html",
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"description": "This data set contains a shapefile of a digitized map of the land parcel information of the original properties of the Uruara colonization site, Para, Brazil, acquired from the Instituto de Colonizacao e Reforma Agraria, or the Colonization and Agrarian Reform Institute (INCRA). The Uruara settlement geometry was initially designed by INCRA, and consists of mostly 100 hectare lots (400 x 2500 meters, and 500 x 2000 meters), running north and south of the Trans-Amazon Highway, as a fine network of small, narrow rectangles. The other parcels in the landscape are the so-called glebas that range up to 3,000 hectares. The map was in the form of a paper map without a projection (a spherical geographic coordinate system) in the South American 1969 datum (SAD 1969). This paper map was digitized in Environmental Science Research Institute (ESRI) ArcInfo 8.1 using a digitizing table, and the digital cadastral data were geo-referenced and projected to match the Universal Transverse Mercator projection (Zone 22 South, World Geodetic System 1984 datum) of Landsat imagery (Landsat.org). There is one compressed (*.zip) file with this data set.",
"license": "proprietary"
},
@@ -118152,7 +118984,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835565-ORNL_CLOUD.umm_json",
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"description": "This data set contains a 1999 Landsat ETM+ mosaic image land of cover classification showing forested and deforestation areas in Uruara, Para, Brazil. This image may be overlain with the cadastral property map of the same area (see related data set LBA-ECO LC-24 Cadastral Property Map of Uruara, Para, Brazil: ca.1975). This data sets contains a single geotiff image distributed as deforested_large.zip.",
"license": "proprietary"
},
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"description": "This data set contains ESRI shapefiles of historical roads (basin-wide federal and state roads) in nine Brazilian states for the Legal Amazon: Amazonas, Para, Acre, Rondonia, Roraima, Tocantins, Amapa, Matto Grosso, and Maranhao. There are 48 compressed (*.zip) files for the years 1968, 1975, 1981, 1985, 1987, and 1993 in GCS South American 1969 projection. ",
"license": "proprietary"
},
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"description": "This data set is a five-class land cover for Southern Para for the years 1984 (Landsat MSS), 1988 (Landsat TM), 1996, and 2003 (Landsat ETM+). The final classification shows five classes derived using visual comparison (Water, Clouds/Shadow, Forest, Not Forest, Background). These data were used in 2007 to illustrate the nature of deforestation in Southern Para, Brazil over the past twenty years (Simmons et al. 2007). There are four annual GeoTIFF files distributed with this data set. Each GeoTIFF file and accompanying *.tfw file have been compressed into a single *.zip file. ",
"license": "proprietary"
},
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"description": "This data set provides course land cover classifications derived from Landsat TM images for 1986, 1988, and 1991 for the area surrounding the municipality of Uruara, Para, Brazil. Five land cover classes (Water, Clouds/Shadow, Forest, Not Forest, and Background) were derived (Aldrich et al. 2006). The Land Cover is in a compressed (*.zip) GeoTIFF file for each year.",
"license": "proprietary"
},
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"description": "This data set, LBA-ECO LC-24 Forest Cover Map from MODIS, 500-m, South America: 2001, contains forest cover information for 2001 for all of South America. The data were collected by the MODerate Resolution Imaging Spectroradiometer (MODIS) sensor onboard the Earth Observing System, TERRA (AM-1) satellite platform and released by the MODIS science team as an image showing percent canopy cover. This information was then reclassified so that all pixels with a percent canopy cover greater than 40% (40% after the 1973 UNESCO standard) were classified as forest (a value of 1), and all other pixels were classified as non-forest (a value of 2). Water features were given a value of 3. This data has a pixel resolution of 500 meters and is unprojected with the WGS-1984 datum (Hansen et al. 2006). There is one GeoTIFF data file for this data set.",
"license": "proprietary"
},
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"description": "This data set provides annual spatial patterns of cropland, natural pasture, and planted pasture land uses across Amazonia for the period 1940/1950-1995. Two series of 5-minute grid cell historical maps were generated starting from land use classification products for 1995. Annual data are the fraction of natural pasture, planted pasture, and cropland in each 5-min grid cell. The annual maps are provided in two NetCDF (.nc) format file at 5-minute resolution. The AMZ-C.nc file covers the Brazilian portion of Amazon and Tocantins Rivers basins, and is based on the 1995 land use classification of Cardille et al. (2002), generated through the fusion of remote sensing (AVHRR) and agricultural census data. The second file, AMZ-R.nc, covers the entire Legal Amazon region and adjacent areas and is based on the 1995 land use classification by Ramankutty et al. (2008). The land use classification was generated by the fusion of satellite imagery (MODIS and VEGETATION-SPOT) and data from the agricultural census. A historical land-use reconstruction algorithm was used to generate the annual spatial patterns (based on work from Ramunkutty and Foley, 1999).",
"license": "proprietary"
},
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"description": "This model product provides the Fortran source code and input data for the Simple Tropical Ecosystem Model (SITE). SITE is a simplified point model of vegetation dynamics that uses an integration interval of one hour to estimate the fluxes of CO2, water, and energy. Model forcing data are hourly meteorological parameters. SITE is a simplified model of vegetation dynamics for tropical ecosystems developed by Santos and Costa (2004).Model input data measurements of temperature, wind velocity, precipitation, latent heat, sensible heat, downward incident solar flux, and downward incident infrared flux were collected at the km 67 Tapajos National Forest site, Para, Brazil, from 2002 to 2003.SITE is structured with a canopy layer and two soil layers, and incorporates the following processes:*infrared radiation balance in the canopy and balance of solar radiation*aerodynamic processes*plant physiology*transpiration*balance of water intercepted by the canopy*transport of mass and energy fluxes*soil heat flux and soil moisture*carbon balance There are five files provided with this data set: the Fortran source code (version 1.1-0d), one file for the main program that declares variables and input parameters, one file that initializes vegetation parameters, one file used to compile the SITE model, and the km 67 input data file in comma-delimited (.csv) format. The four SITE files are provided in the compressed file SITE_Model.zip. One companion file is also provided that describes the collection and processing of the meteorological and flux measurements at the km 67 Tapajos National Forest site and the use of the data to calibrate SITE. ",
"license": "proprietary"
},
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"description": "This data set is an active fire detection product resulting from the application of The Wildfire Automated Biomass Burning Algorithm (WF_ABBA) to Geostationary Environmental Operational Satellite (GOES) imager data for all of South America from 2000 through 2005. GOES imager data are available at 30 minute intervals with a nominal 4 x 4-km resolution. The data provided are the latitude/longitude, brightness temperature, estimates of sub-pixel fire size and temperature, Global Land Cover Characterization (GLCC) ecosystem type, and a pixel-fire flag (0-5, information regarding the probability of a fire or processing characteristics) for each active fire detected by WF_ABBA for a 30 minute imager interval. Spatial area coverage data files are provided as a complement to individual fire detection data files because the area of the latter varied according to the GOES imager scan mode in use. Versions 5.9 and 6.0 WF_ABBA data are provided. Differences between the two versions are assumed to be small though (typically less than 10%). An in-line temporal filter has been added to the algorithm to screen out false alarms associated with noise in the imagery and cloud edge issues in version 6.0. This is especially important for screening false alarms due to reflection off clouds at extreme view angles and at sunrise and sunset.There are nine compressed (*.zip) files with this data set which expand to the filtered ASCII text data files (.filt), and seven coverage files text (.txt).",
"license": "proprietary"
},
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"description": "This data set provides active fire detection images and associated summary information derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images for various locations in Brazilian Amazonia during 2001-2003. There are two image types: (1) GeoTiff images (masks) of active fire pixels, and (2) GeoTiff images (masks) of clustered active fire pixels where a distinct cluster identification number has been assigned to each individual group of contiguous active fire pixels. There are 122 GeoTiff format files of each type of fire mask; a total of 244 images. The spatial resolution of the fire mask images is 30 meters. ETM+ images were selected based on data quality, availability, as well as on the occurrence of vegetation fires.In addition to the two image types, there are also two types of fire pixel summary information provided in text files: (1) one file of active fire pixel summary information derived from the active fire pixel images, and (2) 122 files of clustered active fire pixel information derived from individual clustered fire pixel masks, each of which correspond to a clustered image.",
"license": "proprietary"
},
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"description": "This data set contains modeled estimates of carbon flux, biomass, and annual burning emissions across the Brazilian state of Mato Grosso from 2000-2006. The model, DEforestation CArbon Flux (DECAF), was used to provide annual carbon fluxes from large deforestation events (>25 ha) based on post-deforestation land use, and the frequency and duration of active fires during the deforestation process. Carbon fluxes associated with the conversion of Cerrado to mechanized crop production, fires in Cerrado, and managed pasture cover types were also estimated. Model data outputs provided include: * Estimated aboveground live biomass from DECAF in 2000 and 2004.* Annual biomass burning emissions estimates for 2001-2005 from low, middle, and high emissions scenarios with DECAF. There are 15 GeoTIFF files for annual emissions which represent the carbon emissions per pixel in grams of carbon per m2 (g C m-2). Model data inputs provided include: * Annual burn trajectories for 2001 - 2005, including deforestation, Cerrado land cover conversion, and fires in pasture and Cerrado ecosystems unrelated to agricultural expansion. These data were assembled from three sources: MODIS 500-m burned area maps, annual deforestation based on data from the INPE PRODES program, and the conversion of Cerrado savannah/woodland to cropland estimated from land cover information from MODIS phenology metrics.* Annual land cover data 2001-2004 for the portion of Mato Grosso covered by MODIS phenology metrics, tile h12v10, updated based on annual land cover changes in Amazon forest and Cerrado cover types.* Monthly Normalized Difference Vegetation Index (NDVI) for MODIS tile h12v10 from 10/2000 - 09/2006, based on cloud and gap-filled 16-day NDVI data from MODIS Collection 4 16-day NDVI composites MOD13 product (Huete et al., 2002).There are six compressed (*.gz) files with this data set.",
"license": "proprietary"
},
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"description": "This data set provides active fire locations and estimates of annual fire frequencies for South America from 2000-2007. Data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Terra (2000-2007) and Aqua (2003-2007) satellite platforms were analyzed to determine spatial and temporal patterns in satellite fire detections. The analysis considered a high-confidence subset of all MODIS fire detections to reduce the influence of false fire detections over small forest clearings in Amazonia (Schroeder et al., 2008). The number of unique days on which the active fire detections were recorded within a 1 km radius was estimated from the subset of active fire detections and the ArcGIS neighborhood variety algorithm. There are 14 data files with this data set: 7 GeoTIFF (.tif) files of fire frequency at MODIS 250 m resolution, where each grid cell value represents the number of days in that year on which active fires were detected, and 7 shape files of active fire locations for the years 2001-2007.",
"license": "proprietary"
},
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"description": "Pigment measurements from 1989 and 1990 in the Gulf of St Lawrence.",
"license": "proprietary"
},
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"description": "This data set provides estimates of forest canopy height derived from the Geoscience Laser Altimeter System (GLAS) LiDAR instrument that was aboard the NASA Ice, Cloud, and land Elevation (ICESat) satellite. A global GLAS waveform data set (n=12,336,553) from collection periods between October 2004 and March 2008 was processed to obtain canopy height estimates.Estimates of GLAS maximum canopy height and crown-area-weighted Lorey's height are provided for 18,578 statistically-selected globally distributed forested sites in a point shapefile. Country is included as a site attribute.Also provided is the average canopy height for the forested area of each country, plus the number of GLAS data footprints (shots), number of selected sample sites, and estimates of the variance for each country.",
"license": "proprietary"
},
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"description": "This model product contains the source codes for version 1 of the individual-based forest ecosystem biogeochemistry model LINKAGES and two subsequent versions as well as example input and output data. LINKAGES predicts long-term structure and dynamics of forest ecosystems as constrained by nitrogen availability, climate, and soil moisture. Model simulations compare favorably to field data from different geographic areas worldwide. LINKAGES, written in FORTRAN and provided in ASCII format, simulates birth, growth, and death of all trees greater than 1.43-cm dbh. Litter fall and decomposition are also simulated. Sunlight is the driving variable. Growing season degree days, soil water availability, and AET are calculated from precipitation, temperature, soil field moisture capacity, and wilting point. Decomposition and soil N availability are calculated from organic matter quantity and carbon chemistry, evapotranspiration, and degree of canopy closure. Light availability to each tree is a function of leaf biomass of taller trees. Degree days and availabilities of light and water constrain species reproduction. These variables plus soil N constrain tree growth and carbon accumulation in biomass. Tree death probability increases with age and slow growth. Leaf, root, and woody litter are returned to the soil at the end of each year to decay the following year. Climatic and forest data for eastern North America and New South Wales are provided as example model inputs. Modelers may use their own site data within any version of LINKAGES. Example model output is also provided.",
"license": "proprietary"
},
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"description": "Measurements made near Long Island, New York between 2004 and 2009.",
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"description": "This model product provides the Fortran 77 source code for the Lund-Potsdam-Jena (LPJ) Wetland Hydrology and Methane Dynamic Global Vegetation Model (LPJ-WHyMe v1.3.1), auxiliary C++ routines, ASCII and NetCDF input data, and NetCDF example output data. LPJ-WHyMe v1.3.1 simulates peatland hydrology, permafrost dynamics, peatland vegetation, and methane emissions.The model processes can be simulated on an area-averaged 0.5 or 1.0 degree grid cell basis at global, regional, or site scales and on a daily, monthly, or annual time step as appropriate. Input driver data are monthly mean air temperature, total precipitation, percentage of full sunshine, annual atmospheric CO2 concentration, and soil texture class. The simulation for each grid cell begins from \"bare ground\", requiring a \"spin up\" (under non-transient climate) of ca. 1,000 years to develop equilibrium vegetation, carbon, and soil structure. Model simulations compare favorably, with some exceptions, to field observations collected from peatland sites (e.g., Degero, Sweden; Lakkasuo, Finland; BOREAS Northern Study Area, Canada; and others) and non-peatland sites (e.g., Point Barrow, Alaska, and Spasskaya, Siberia). LPJ-WHyMe is a further development of LPJ-WHy, which dealt with the introduction of permafrost and peatlands into LPJ. Implementing peatlands in LPJ required the addition of two new plant functional types (PFTs) (flood tolerant C3 graminoids and Sphagnum mosses) to the already existing ten PFTs, the introduction of inundation stress for non-peatland PFTs, a slow-down in decomposition under inundation, and the addition of a root exudates pool. LPJ-WHyMe v1.3.1 adds a methane model subroutine. This model product has one compressed data file (*.zip) and seven companion files.",
"license": "proprietary"
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"description": "The NCAR LSM 1.0 is a land surface model developed to examine biogeophysical and biogeochemical land-atmosphere interactions, especially the effects of land surfaces on climate and atmospheric chemistry. It can be run coupled to an atmospheric model or uncoupled, in a stand-alone mode, if an atmospheric forcing is provided. The model runs on a spatial grid that can range from one point to global. The model was designed for coupling to atmospheric numerical models. Consequently, there is a compromise between computational efficiency and the complexity with which the necessary atmospheric, ecological, and hydrologic processes are parameterized. The model is not meant to be a detailed micrometeorological model, but rather a simplified treatment of surface fluxes that reproduces at minimal computational cost the essential characteristics of land-atmosphere interactions important for climate simulations. The model is a complete executable code with its own time-stepping driver, initialization (subroutine lsmini), and main calling routine (subroutine lsmdrv). When coupled to an atmospheric model, the atmospheric model is the time-stepping driver. There is one call to subroutine lsmini during initialization to initialize all land points in the domain; there is one call per time step to subroutine lsmdrv to calculate surface fluxes and update the ecological, hydrological, and thermal state for all land points in the domain. The model writes its own restart and history files. These can be turned off if appropriate. Available for downloading from the ORNL DAAC are the LMS Model Documentation and User's Guide, the model source code, input data set, and scripts for running the model. Applications of the model are described in two additional companion files.",
"license": "proprietary"
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"description": "This dataset, referred to as LUH2-GCB2019, includes 0.25-degree gridded, global maps of fractional land-use states, transitions, and management practices for the period 0850-2019. The LUH2-GCB2019 dataset is an update to the previous Land-Use Harmonization Version 2 (LUH2-GCB) datasets prepared as required input to land models in the annual Global Carbon Budget (GCB) assessments, including land-use change data relating to agricultural expansion, deforestation, wood harvesting, shifting cultivation, afforestation, and crop rotations. Compared with previous LUH2-GCB datasets, the LUH2-GCB2019 takes advantage of new data inputs that corrected cropland and grazing areas in the globally important region of Brazil, as far back as 1950. LUH2-GCB datasets are used by bookkeeping models and Dynamic Global Vegetation Models (DGVMs) for the GCB.",
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"description": "This data set provides field measurements of diameter, tree height, and crown dimensions for 1,513 trees in 30 plots at the La Selva Biological Station in Costa Rica. Fourteen of these plots were in undisturbed primary forest, six were in primary forest which had been selectively logged, seven were secondary forests, and three were abandoned pastures reverting to forest. The diameter and height data were used to calculate aboveground biomass for each of the 30 plots. The crown measurements were used to estimate a vertical profile for each plot, showing the vegetation volume in 1 meter increments from the ground to the top of the canopy.There are three comma-delimited data files and two shapefiles with this data set. The files contain the measurements and calculated biomass for the individual stems as well as the summary data at the plot level.",
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"description": "This data set contains land-use, canopy height, and aboveground carbon estimates derived from LiDAR data collected at La Selva Biological Station in Costa Rica in March 1998 and March 2005. The data are provided as GeoTIFFs (*.tif) of 100-m (1-ha) resolution. A look-up table is provided that relates modeled changes in height to changes in stand characteristics (including age and carbon content). The data were used to test the accuracy and scale-dependency of high-resolution predictions of vegetation dynamics and carbon flux by the Ecosystem Demography (ED). The ED model is an individual-based terrestrial ecosystem model that predicts both ecosystem structure and corresponding ecosystem fluxes from climate, soil, and land-use inputs.",
"license": "proprietary"
},
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"description": "This dataset provides lake bathymetry maps derived from Landsat surface reflectance products for a portion of the North Slope area of Alaska. A random forest regression algorithm was used to generate depths for each point identified as being part of a lake, creating depth prediction files for each Landsat scene available for the study period: 2016-07-01 to 2018-08-31. These products are fitted to the ABoVE standard projection and reference grid to make them easily scalable and geometrically compatible with other products in the ABoVE study domain. The data are provided in cloud-optimized GeoTIFF (COG) format.",
"license": "proprietary"
},
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"description": "Measurements made in Lake Superior by researchers at the University of Rhode Island.",
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"description": "Measurements taken in Lake Michigan and Green Bay in 2012 as part of a water quality monitoring program.",
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"description": "The BigFoot project gathered data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2003. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. These surfaces were produced from Landsat ETM+ imagery to explicitly characterize the land cover at the BigFoot Sites to provide validation of the MODIS land cover product. BigFoot was funded by NASA's Terrestrial Ecology Program.",
"license": "proprietary"
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"description": "These data represent fractional land use and land cover patterns annually for the years 1500 - 2100 for the globe at 0.5-degree (~50-km) spatial resolution. Land use categories of cropland, pasture, primary land, secondary (recovering) land, and urban land, and underlying annual land-use transitions, are included. Annual data on age and biomass density of secondary land, as well as annual wood harvest, are included for each grid cell. Historical land cover data for the years 1500 - 2005 are based on HYDE 3.1 and future land cover projections for the period 2006 - 2100 came from four Integrated Assessment Model (IAM) scenarios which reach different levels of radiative forcing by year 2100: MESSAGE (8.5 W/m2), AIM (6 W/m2), GCAM (4.5 W/m2), and IMAGE (2.6 W/m2). A key feature of these data is that historical reconstructions of land use were harmonized (computationally adjusted to minimize differences at the transition period) with modeled future scenarios, allowing for a seamless examination of historical and future land use. The output data present a single consistent, spatially gridded set of land-use change scenarios for studies of human impacts on the past, present, and future Earth system. For additional information about the algorithms, inputs, and options used in creating the land use transitions data, please refer to Hurtt et al. (2006) and Hurtt et al. (2011).Data are presented as a series of twenty (20) different data products representing different past and future model scenarios. There are a total of 560 NetCDF v4 files (*.nc4), one for each combination of data product and land use variable.",
"license": "proprietary"
},
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"description": "This dataset provides 0.25-degree gridded, global, annual estimates of fractional land use and land cover patterns for the period 2015-2100, designed to support the ISIMIP2b effort to assess the impacts of 1.5 Deg Celcius global warming. Land use types, land use transitions, and cropland estimates of area fraction are provided and include detailed separation of primary and secondary natural vegetation into forest and non-forest sub-types, pasture into managed pasture and rangeland, and cropland into multiple crop functional types; all transitions between land use states per grid cell per year, including crop rotations, shifting cultivation, and wood harvest; and agriculture management including irrigation, synthetic nitrogen fertilizer, and biofuel management. The LUH2-ISIMIP2b datasets were derived using Land Use Harmonization 2 (LUH2) methodology and are based on land-use scenarios provided by the REMIND-MAgPIE Integrated Assessment Model using an SSP2 storyline along with RCP2.6 and RCP6.0 emissions scenarios. In contrast to the standard SSP scenarios, these land use changes additionally account for climate and atmospheric CO2 fertilization effects on the underlying patterns of potential crop yields, water availability, and terrestrial carbon content. This is achieved by using the LPJmL (Lund-Potsdam-Jena managed land) model forced with atmospheric CO2 concentrations and patterns of climate change generated from 4 different climate models (GFDL, HADGEM, IPSL, and MIROC) consistent with the 2 different RCP scenarios, resulting in a set of 8 different LUH2-ISIMIP2b datasets.",
"license": "proprietary"
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"description": "This dataset provides annual maps of land cover classes for the Colombian Amazon from 2001 through 2016 that were created by classifying time segments detected by the Continuous Change Detection and Classification (CCDC) algorithm. The CCDC algorithm detected changes in Landsat pixel surface reflectance across the time series, and the time segments were classified into land cover types using a Random Forest classifier and manually collected training data. Annual maps of land cover were created for each Landsat scene and then post-processed and mosaicked. Land cover types include unclassified, forest, natural grasslands, urban, pastures, secondary forest, water, or highly reflective surfaces. The training data are not included with this dataset.",
"license": "proprietary"
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"description": "This dataset provides a reference of land surface phenology (LSP) at 30-m pixels for 78 regions of 10 x 10 km2 across a wide range of ecological and climatic regions in North America during 2019 and 2020. The data were derived by fusing the Harmonized Landsat 8 and Sentinel-2 (HLS) observations with near- surface PhenoCam time series (hereafter called HP-LSP). The HP-LSP dataset consists of two parts: (1) the 3-day synthetic gap-free EVI2 (two-band Enhanced Vegetation Index) time series and (2) four key phenological transition dates that are greenup onset, maturity onset, senescence onset, and dormancy onset (accuracy less than or equal to five days). The PhenoCam network offers near-surface observations via the RGB (Red, Green, and Blue) imagery every 30 minutes. Each RGB imagery enables us to calculate as many as 100 Green Chromatic Coordinate (GCC) for generating a collection of localized vegetation dynamics. The HLS EVI2 time series with frequent gaps was fused with the most comparable PhenoCam GCC temporal shape selected from the GCC collection using the Spatiotemporal Shape Matching Model (SSMM) to create the synthetic gap-free HLS-PhenoCam EVI2 time series, which was used to establish the physically-based hybrid piecewise logistic model (HPLM) for detecting phenological transition dates (phenometrics).",
"license": "proprietary"
},
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"description": "This dataset provides the complete catalog of point cloud data collected during LiDAR surveys over selected forest research sites across the Amazon rainforest in Brazil between 2008 and 2018 for the Sustainable Landscapes Brazil Project. Flight lines were selected to overfly key field research sites in the Brazilian states of Acre, Amazonas, Bahia, Goias, Mato Grosso, Para, Rondonia, Santa Catarina, and Sao Paulo. The point clouds have been georeferenced, noise-filtered, and corrected for misalignment of overlapping flight lines. They are provided in 1 km2 tiles. The data were collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.",
"license": "proprietary"
},
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+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wibGlkYXIgYW5kIHBhbHNhci1kZXJpdmVkIGZvcmVzdCBhYm92ZWdyb3VuZCBiaW9tYXNzLCBwYXJhZ29taW5hcywgcGFyYSwgYnJhemlsLCAyMDEyXCIsXCJPUk5MX0NMT1VEXCIsXCJFc3RpbWF0ZWRfQmlvbWFzc19TdG9ja19BbWF6b25fMTY0OFwiLFwiMVwiLDI0MDg2MzMxNTMsNF0iLCJ1bW0iOiJbXCJsaWRhciBhbmQgcGFsc2FyLWRlcml2ZWQgZm9yZXN0IGFib3ZlZ3JvdW5kIGJpb21hc3MsIHBhcmFnb21pbmFzLCBwYXJhLCBicmF6aWwsIDIwMTJcIixcIk9STkxfQ0xPVURcIixcIkVzdGltYXRlZF9CaW9tYXNzX1N0b2NrX0FtYXpvbl8xNjQ4XCIsXCIxXCIsMjQwODYzMzE1Myw0XSJ9/LiDAR_Veg_Ht_Idaho_1532_1",
"description": "This dataset provides the point cloud data derived from small footprint waveform LiDAR data collected in August 2014 over Reynolds Creek Experimental Watershed and Hollister in southern Idaho. The LiDAR data have been georeferenced, noise-filtered, and corrected for misalignment for overlapping flight lines and are provided in 1 km tiles. High resolution digital elevation models and maps of maximum vegetation height derived from the LiDAR data are provided for each site.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812819-GES_DISC.html",
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- "description": "M2C0NXASM (or const_2d_asm_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant model parameters, such as the fraction of lake, land, and ocean within a model grid cell. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "description": "M2C0NXASM (or const_2d_asm_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant model parameters, such as the fraction of lake, land, and ocean within a model grid cell. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1278787764-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1278787764-GES_DISC.html",
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- "description": "M2C0NXCTM (or const_2d_ctm_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant model parameters for usage by the chemistry transport model (CTM), such as the fraction of lake, land, ice, or ocean within a model grid cell. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2C0NXCTM (or const_2d_ctm_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant model parameters for usage by the chemistry transport model (CTM), such as the fraction of lake, land, ice, or ocean within a model grid cell. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1278787757-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1278787757-GES_DISC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDJdIiwidW1tIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDJdIn0%3D/M2C0NXLND_5.12.4",
- "description": "M2C0NXLND (or const_2d_lnd_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant land surface parameters, such as thickness of the predefined soil layers, soil porosity, and soil wilting point. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDNdIiwidW1tIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDNdIn0%3D/M2C0NXLND_5.12.4",
+ "description": "M2C0NXLND (or const_2d_lnd_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant land surface parameters, such as thickness of the predefined soil layers, soil porosity, and soil wilting point. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812820-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812820-GES_DISC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDJdIiwidW1tIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDJdIn0%3D/M2I1NXASM_5.12.4",
- "description": "M2I1NXASM (or inst1_2d_asm_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, \u2026 , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDNdIiwidW1tIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDNdIn0%3D/M2I1NXASM_5.12.4",
+ "description": "M2I1NXASM (or inst1_2d_asm_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, \u2026 , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
@@ -120180,8 +121012,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812821-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812821-GES_DISC.html",
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- "description": "M2I1NXINT (or inst1_2d_int_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, \u2026 , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2I1NXINT (or inst1_2d_int_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, \u2026 , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812822-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812822-GES_DISC.html",
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+ "description": "M2I1NXLFO (or inst1_2d_lfo_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, \u2026 , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812879-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812879-GES_DISC.html",
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+ "description": "M2I3NPASM (or inst3_3d_asm_Np) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 42 pressure levels, such as temperature, wind components, vertical pressure velocity, water vapor, ozone mass mixing ratio, and layer height. The data field is available every three hours starting from 00:00 UTC, e.g.: 00:00, 03:00, \u2026 , 21:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812882-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812882-GES_DISC.html",
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- "description": "M2I3NVAER (or inst3_3d_aer_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of aerosol mixing ratio parameters at 72 model layers, such as dust, sulphur dioxide, sea salt, black carbon, and organic carbon. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, \u2026 , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2I3NVAER (or inst3_3d_aer_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of aerosol mixing ratio parameters at 72 model layers, such as dust, sulphur dioxide, sea salt, black carbon, and organic carbon. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, \u2026 , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812900-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812900-GES_DISC.html",
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+ "description": "M2I3NVASM (or inst3_3d_asm_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 72 model layers, such as temperature, wind components, vertical pressure velocity, water vapor, and layer height. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, \u2026 , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812901-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812901-GES_DISC.html",
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+ "description": "M2I3NVCHM (or inst3_3d_chm_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of carbon monoxide and ozone mixing ratio at 72 model layers. The data is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, \u2026 , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812883-GES_DISC.umm_json",
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+ "description": "M2I3NVGAS (or inst3_3d_gas_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of aerosol mixing ratio analysis increments at 72 model layers, such as mixing ratio analysis increments of black carbon, dust, organic carbon, sea salt, and sulfate. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, \u2026 , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812759-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812759-GES_DISC.html",
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- "description": "M2I3NXGAS (or inst3_3d_gas_Nx) is an instantaneous 2-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, \u2026 , 21:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2I3NXGAS (or inst3_3d_gas_Nx) is an instantaneous 2-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, \u2026 , 21:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812884-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812884-GES_DISC.html",
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+ "description": "M2I6NPANA (or inst6_3d_ana_Np) is an instantaneous 3-dimensional 6-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analyzed meteorological fields at 42 pressure levels, such as temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height. The data field is available every six hour starting from 00:00 UTC, e.g.: 00:00, 06:00, \u2026 , 18:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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"license": "proprietary"
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+ "description": "M2IMNPANA (or instM_3d_ana_Np) is an instantaneous 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analyzed meteorological fields at 42 pressure levels, such as temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes certain quadratic information (such as the variance and covariance of certain parameters). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812904-GES_DISC.html",
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+ "description": "M2IMNPASM (or instM_3d_asm_Np) is an instantaneous 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 42 pressure levels, such as temperature, wind components, vertical pressure velocity, water vapor, ozone mass mixing ratio, and layer height. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes certain quadratic information (such as the variance and covariance of certain parameters). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812823-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812823-GES_DISC.html",
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- "description": "M2IMNXASM (or instM_2d_asm_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDNdIiwidW1tIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDNdIn0%3D/M2IMNXASM_5.12.4",
+ "description": "M2IMNXASM (or instM_2d_asm_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812824-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812824-GES_DISC.html",
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- "description": "M2IMNXGAS (or instM_3d_gas_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. The collection also includes the variance of parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2IMNXGAS (or instM_3d_gas_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. The collection also includes the variance of parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812825-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812825-GES_DISC.html",
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- "description": "M2IMNXINT (or instM_2d_int_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). The collection also includes variance of certain variables. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDNdIiwidW1tIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDNdIn0%3D/M2IMNXINT_5.12.4",
+ "description": "M2IMNXINT (or instM_2d_int_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). The collection also includes variance of certain variables. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812840-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812840-GES_DISC.html",
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- "description": "M2IMNXLFO (or instM_2d_lfo_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDNdIiwidW1tIjoiW1wibWVycmEtMiBjb25zdF8yZF9hc21fbng6IDJkLCBjb25zdGFudHMgMC42MjUgeCAwLjUgZGVncmVlIHY1LjEyLjQgKG0yYzBueGFzbSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMkMwTlhBU01cIixcIjUuMTIuNFwiLDEyNzY4MTI4MTksNDNdIn0%3D/M2IMNXLFO_5.12.4",
+ "description": "M2IMNXLFO (or instM_2d_lfo_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
@@ -120388,8 +121220,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812907-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812907-GES_DISC.html",
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- "description": "M2IUNPANA (or instU_3d_ana_Np) is an instantaneous 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analyzed meteorological fields at 42 pressure levels, such as temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height. It is the monthly mean of data fields every six hour starting from 00:00 UTC, e.g.: 00:00, 06:00, \u2026 , 18:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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"license": "proprietary"
},
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+ "description": "M2IUNPASM (or instU_3d_asm_Np) is an instantaneous 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 42 pressure levels, such as temperature, wind components, vertical pressure velocity, water vapor, ozone mass mixing ratio, and layer height. The data collection is the monthly mean of data fields every three hours starting from 00:00 UTC, e.g.: 00:00, 03:00, \u2026 , 21:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
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+ "description": "M2IUNXASM (or instU_2d_asm_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The data consists of the monthly mean of the data field at each hour of a day, e.g., 00:00, 01:00, \u2026, 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812826-GES_DISC.html",
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+ "description": "M2IUNXGAS (or instU_3d_gas_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. It consists of the monthly mean of the data fields every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, \u2026 , 21:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2IUNXINT (or instU_2d_int_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). It consists of the monthly mean of the data fields on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, \u2026 , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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- "description": "M2IUNXLFO (or instU_2d_lfo_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. It consists of the monthly mean of the data fields on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, \u2026 , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2IUNXLFO (or instU_2d_lfo_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. It consists of the monthly mean of the data fields on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, \u2026 , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812843-GES_DISC.html",
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+ "description": "M2SDNXSLV (or statD_2d_slv_Nx) is a 2-dimensional daily data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of daily statistics, such as daily mean (or daily minimum and maximum) air temperature at 2-meter, and maximum precipitation rate during the period. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1949649168-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1949649168-GES_DISC.html",
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- "description": "M2SMNXEDI (or statM_2d_edi_Nx) is a 2-dimensional monthly data collection for extreme detection indices derived from daily Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets within each month. V1, the original version of this extreme detection indices data collection, is computed based on the 1981-2010 climatology, covering the period from January 1980 to December 2022. In contrast, V2, the second version, is calculated based on a 30-year climatology (1991-2020), covering the period from January 1980 to the present. This collection consists of indices used to identify or characterize extreme weather events associated with temperature, such as heatwaves and cold spells (e.g., their frequency, duration, and intensity), as well as events associated with precipitation, such as dry days and wet days (e.g., their frequency, duration, and intensity). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d, linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the \"MERRA-2 File Specification Document'', \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page for more information. If these documents do not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)",
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+ "description": "M2SMNXEDI (or statM_2d_edi_Nx) is a 2-dimensional monthly data collection for extreme detection indices derived from daily Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets within each month. V1, the original version of this extreme detection indices data collection, is computed based on the 1981-2010 climatology, covering the period from January 1980 to December 2022. In contrast, V2, the second version, is calculated based on a 30-year climatology (1991-2020), covering the period from January 1980 to the present. This collection consists of indices used to identify or characterize extreme weather events associated with temperature, such as heatwaves and cold spells (e.g., their frequency, duration, and intensity), as well as events associated with precipitation, such as dry days and wet days (e.g., their frequency, duration, and intensity). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d, linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the \"MERRA-2 File Specification Document'', \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812829-GES_DISC.html",
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+ "description": "M2T1NXADG (or tavg1_2d_adg_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics (extended), such as dry and wet deposition of each aerosol component, dust emission and sedimentation for each sized bin, and organic carbon convective scavenging. The data fields are time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812830-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812830-GES_DISC.html",
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- "description": "M2T1NXAER (or tavg1_2d_aer_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea salt, sulfate, and organic carbon), surface mass concentration of aerosol components, and total extinction (and scattering ) aerosol optical thickness (AOT) at 550 nm. The total PM1.0, PM2.5, and PM10 may be derived with the formula described in the FAQs under the Documentation tab of this page. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2T1NXAER (or tavg1_2d_aer_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea salt, sulfate, and organic carbon), surface mass concentration of aerosol components, and total extinction (and scattering ) aerosol optical thickness (AOT) at 550 nm. The total PM1.0, PM2.5, and PM10 may be derived with the formula described in the FAQs under the Documentation tab of this page. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812831-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812831-GES_DISC.html",
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- "description": "M2T1NXCHM (or tavg1_2d_chm_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2T1NXCHM (or tavg1_2d_chm_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812834-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812834-GES_DISC.html",
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+ "description": "M2T1NXFLX (or tavg1_2d_flx_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, and evaporation from turbulence. The \u201csurface\u201d in this data collection is the model surface layer. The heights of the model surface layer (HLML) vary with time and location, with the value of ~60 meter above ground. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
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+ "description": "M2T1NXINT (or tavg1_2d_int_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically Integrated diagnostics of water and energy, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812850-GES_DISC.html",
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+ "description": "M2T1NXLFO (or tavg1_2d_lfo_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as bias corrected precipitation, shortwave and longwave radiation at surface. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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+ "description": "M2T1NXLND (or tavg1_2d_lnd_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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- "description": "M2T1NXOCN (or tavg1_2d_ocn_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2T1NXOCN (or tavg1_2d_ocn_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812851-GES_DISC.html",
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- "description": "M2T1NXRAD (or tavg1_2d_rad_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2T1NXRAD (or tavg1_2d_rad_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812863-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812863-GES_DISC.html",
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+ "description": "M2T1NXSLV (or tavg1_2d_slv_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850 hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2T3NEMST (or tavg3_3d_mst_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moisture processes diagnostics at the 73 model layer edges. The parameters include cumulative mass flux, 3D flux of liquid (or ice) convective (or nonconvective) precipitation, and model layer edge pressure. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812686-GES_DISC.html",
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- "description": "M2T3NENAV (or tavg3_3d_nav_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertical coordinates of the 73 model layer edges. The parameters include edge pressure and edge heights. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2T3NENAV (or tavg3_3d_nav_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertical coordinates of the 73 model layer edges. The parameters include edge pressure and edge heights. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812890-GES_DISC.html",
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- "description": "M2T3NETRB (or tavg3_3d_trb_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated turbulence diagnostics at the 73 model layer edges. The parameters include total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, Richardson number from Louis, and more. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2T3NETRB (or tavg3_3d_trb_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated turbulence diagnostics at the 73 model layer edges. The parameters include total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, Richardson number from Louis, and more. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2T3NPCLD (or tavg3_3d_cld_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics on the 42 pressure levels, such as updraft areal fraction, cloud fraction for radiation , in-cloud cloud liquid (or ice) for radiation, and mass fraction of cloud liquid (or ice) water. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2T3NPMST (or tavg3_3d_mst_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist processes diagnostics on the 42 pressure levels, such as convective rainwater source, 3D flux of ice convective (or nonconvective) precipitation, and 3D flux of liquid convective (or nonconvective) precipitation. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812689-GES_DISC.html",
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- "description": "M2T3NPODT (or tavg3_3d_odt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of ozone tendencies on the 42 pressure levels, such as total ozone analysis tendency, tendency of odd oxygen mixing ratio due to chemistry, tendency of odd oxygen due to moist processes, and tendency of ozone due to dynamics. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2T3NPODT (or tavg3_3d_odt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of ozone tendencies on the 42 pressure levels, such as total ozone analysis tendency, tendency of odd oxygen mixing ratio due to chemistry, tendency of odd oxygen due to moist processes, and tendency of ozone due to dynamics. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812924-GES_DISC.html",
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+ "description": "M2T3NPQDT (or tavg3_3d_qdt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist tendencies on the 42 pressure levels, such as tendency of ice (or liquid) water due to dynamics, total ice (or liquid) water tendency due to moist, total specific humidity analysis tendency, and specific humidity tendency due to moist. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2T3NPRAD (or tavg3_3d_rad_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of radiation diagnostics on 42 pressure levels, such as cloud fraction for radiation, and air temperature tendency due to longwave (or shortwave). The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812940-GES_DISC.html",
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- "description": "M2T3NPTDT (or tavg3_3d_tdt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of air temperature tendencies on 42 pressure levels, such as total temperature analysis tendency, and tendency of air temperature due to dynamics (or friction, moisture, radiation, and physics). The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2T3NPTDT (or tavg3_3d_tdt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of air temperature tendencies on 42 pressure levels, such as total temperature analysis tendency, and tendency of air temperature due to dynamics (or friction, moisture, radiation, and physics). The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812691-GES_DISC.html",
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+ "description": "M2T3NPTRB (or tavg3_3d_trb_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of turbulence diagnostics on 42 pressure levels, such as total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, and Richardson number from Louis. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2T3NPUDT (or tavg3_3d_udt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of wind tendencies on 42 pressure levels, such as total eastward (or northward) wind analysis tendency, tendency of eastward (or northward) wind due to dynamics, and tendency of eastward (or northward) wind due to turbulence. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2T3NVASM (or tavg3_3d_asm_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 72 model layers, such as air temperature, wind components, vertical pressure velocity, water vapor, and layer height. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2T3NVCLD (or tavg3_3d_cld_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics at 72 model layers, such as cloud fraction for radiation, pressure thickness, in cloud cloud ice (or liquid) for radiation, and relative humidity. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812927-GES_DISC.html",
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+ "description": "M2T3NVMST (or tavg3_3d_mst_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated moist processes diagnostics at 72 model layers, such as convective rainwater source, large scale rainwater source, evap subl of convective precipitation, and evap subl of non convective precipitation. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2T3NVRAD (or tavg3_3d_rad_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated radiation diagnostics at 72 model layers, such as air temperature tendency due to longwave and air temperature tendency due to shortwave. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2T3NXGLC (or tavg3_2d_glc_Nx) is a 2-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1949650985-GES_DISC.html",
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+ "description": "M2TCNPLTM (or tavgC_3d_ltm_Np) is a 3-dimensional monthly data collection for climatological long term mean and standard deviation representing the interannual variability on a monthly timescale, derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this data collection is calculated with data from January 1991 to December 2020. In contrast, V1, the original version, is computed with data from an earlier 30-year time of 1981-2010. This collection consists of meteorological diagnostics at 12 vertical pressure levels (e.g.,850 hPa, 500hPa, and 200 hPa), such as air temperature, wind components, and both relative and specific humidity. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d, linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the \"MERRA-2 File Specification Document'', \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2TMNPMST (or tavgM_3d_mst_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist processes diagnostics on the 42 pressure levels, such as convective rainwater source, 3D flux of ice convective (or nonconvective) precipitation, and 3D flux of liquid convective (or nonconvective) precipitation. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812930-GES_DISC.html",
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+ "description": "M2TMNPQDT (or tavgM_3d_qdt_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist tendencies on the 42 pressure levels, such as tendency of ice (or liquid) water due to dynamics, total ice (or liquid) water tendency due to moist, total specific humidity analysis tendency, and specific humidity tendency due to moist. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812931-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812931-GES_DISC.html",
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- "description": "M2TMNPRAD (or tavgM_3d_rad_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of radiation diagnostics on 42 pressure levels, such as cloud fraction for radiation, and air temperature tendency due to longwave (or shortwave). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TMNPRAD (or tavgM_3d_rad_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of radiation diagnostics on 42 pressure levels, such as cloud fraction for radiation, and air temperature tendency due to longwave (or shortwave). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812693-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812693-GES_DISC.html",
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+ "description": "M2TMNPUDT (or tavgM_3d_udt_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of wind tendencies on 42 pressure levels, such as total eastward (or northward) wind analysis tendency, tendency of eastward (or northward) wind due to dynamics, and tendency of eastward (or northward) wind due to turbulence. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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"license": "proprietary"
},
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+ "description": "M2TMNXAER (or tavgM_2d_aer_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea salt, sulfate, and organic carbon), surface mass concentration of aerosol components, and total extinction (and scattering ) aerosol optical thickness (AOT) at 550 nm. The total PM1.0, PM2.5, and PM10 may be derived with the formula described in the FAQs under the Documentation tab of this page. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812852-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812852-GES_DISC.html",
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- "description": "M2TMNXCHM (or tavgM_2d_chm_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TMNXCHM (or tavgM_2d_chm_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812867-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812867-GES_DISC.html",
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- "description": "M2TMNXCSP (or tavgM_2d_csp_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of parameters from CFMIP Observations Simulator Package(COSP), such as ISCCP total cloud area fraction, MODIS cloud fraction water (ice) mean, MODIS cloud fraction low (mid,high) mean, modis cloud particle size water (ice) mean. CFMIP is the abbreviation of Cloud Feedback Model Intercomparison Project. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TMNXCSP (or tavgM_2d_csp_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of parameters from CFMIP Observations Simulator Package(COSP), such as ISCCP total cloud area fraction, MODIS cloud fraction water (ice) mean, MODIS cloud fraction low (mid,high) mean, modis cloud particle size water (ice) mean. CFMIP is the abbreviation of Cloud Feedback Model Intercomparison Project. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812868-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812868-GES_DISC.html",
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- "description": "M2TMNXFLX (or tavgM_2d_flx_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, and evaporation from turbulence. The \u201csurface\u201d in this data collection is the model surface layer. The heights of the model surface layer (HLML) vary with time and location, with the value of ~60 meter above ground. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiB0YXZnY18yZF9sdG1fbng6IDJkLCBzaW5nbGUtbGV2ZWwsIGxvbmcgdGVybSBtZWFuIGRpYWdub3N0aWNzIHYxIChtMnRjbnhsdG0pIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiTTJUQ05YTFRNXCIsXCIxXCIsMTk0OTY1MDk5NSwyM10iLCJ1bW0iOiJbXCJtZXJyYS0yIHRhdmdjXzJkX2x0bV9ueDogMmQsIHNpbmdsZS1sZXZlbCwgbG9uZyB0ZXJtIG1lYW4gZGlhZ25vc3RpY3MgdjEgKG0ydGNueGx0bSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMlRDTlhMVE1cIixcIjFcIiwxOTQ5NjUwOTk1LDIzXSJ9/M2TMNXFLX_5.12.4",
+ "description": "M2TMNXFLX (or tavgM_2d_flx_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, and evaporation from turbulence. The \u201csurface\u201d in this data collection is the model surface layer. The heights of the model surface layer (HLML) vary with time and location, with the value of ~60 meter above ground. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
@@ -121116,8 +121948,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812853-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812853-GES_DISC.html",
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- "description": "M2TMNXGLC (or tavgM_2d_glc_Nx) is a 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiB0YXZnY18yZF9sdG1fbng6IDJkLCBzaW5nbGUtbGV2ZWwsIGxvbmcgdGVybSBtZWFuIGRpYWdub3N0aWNzIHYxIChtMnRjbnhsdG0pIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiTTJUQ05YTFRNXCIsXCIxXCIsMTk0OTY1MDk5NSwyM10iLCJ1bW0iOiJbXCJtZXJyYS0yIHRhdmdjXzJkX2x0bV9ueDogMmQsIHNpbmdsZS1sZXZlbCwgbG9uZyB0ZXJtIG1lYW4gZGlhZ25vc3RpY3MgdjEgKG0ydGNueGx0bSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMlRDTlhMVE1cIixcIjFcIiwxOTQ5NjUwOTk1LDIzXSJ9/M2TMNXGLC_5.12.4",
+ "description": "M2TMNXGLC (or tavgM_2d_glc_Nx) is a 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812854-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812854-GES_DISC.html",
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- "description": "M2TMNXINT (or tavgM_2d_int_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of water and energy related vertically Integrated diagnostics, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiB0YXZnY18yZF9sdG1fbng6IDJkLCBzaW5nbGUtbGV2ZWwsIGxvbmcgdGVybSBtZWFuIGRpYWdub3N0aWNzIHYxIChtMnRjbnhsdG0pIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiTTJUQ05YTFRNXCIsXCIxXCIsMTk0OTY1MDk5NSwyM10iLCJ1bW0iOiJbXCJtZXJyYS0yIHRhdmdjXzJkX2x0bV9ueDogMmQsIHNpbmdsZS1sZXZlbCwgbG9uZyB0ZXJtIG1lYW4gZGlhZ25vc3RpY3MgdjEgKG0ydGNueGx0bSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMlRDTlhMVE1cIixcIjFcIiwxOTQ5NjUwOTk1LDIzXSJ9/M2TMNXINT_5.12.4",
+ "description": "M2TMNXINT (or tavgM_2d_int_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of water and energy related vertically Integrated diagnostics, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812855-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812855-GES_DISC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiB0YXZnY18yZF9sdG1fbng6IDJkLCBzaW5nbGUtbGV2ZWwsIGxvbmcgdGVybSBtZWFuIGRpYWdub3N0aWNzIHYxIChtMnRjbnhsdG0pIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiTTJUQ05YTFRNXCIsXCIxXCIsMTk0OTY1MDk5NSwyMl0iLCJ1bW0iOiJbXCJtZXJyYS0yIHRhdmdjXzJkX2x0bV9ueDogMmQsIHNpbmdsZS1sZXZlbCwgbG9uZyB0ZXJtIG1lYW4gZGlhZ25vc3RpY3MgdjEgKG0ydGNueGx0bSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMlRDTlhMVE1cIixcIjFcIiwxOTQ5NjUwOTk1LDIyXSJ9/M2TMNXLFO_5.12.4",
- "description": "M2TMNXLFO (or tavgM_2d_lfo_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as bias corrected precipitation, shortwave and longwave radiation at surface. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiB0YXZnY18yZF9sdG1fbng6IDJkLCBzaW5nbGUtbGV2ZWwsIGxvbmcgdGVybSBtZWFuIGRpYWdub3N0aWNzIHYxIChtMnRjbnhsdG0pIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiTTJUQ05YTFRNXCIsXCIxXCIsMTk0OTY1MDk5NSwyM10iLCJ1bW0iOiJbXCJtZXJyYS0yIHRhdmdjXzJkX2x0bV9ueDogMmQsIHNpbmdsZS1sZXZlbCwgbG9uZyB0ZXJtIG1lYW4gZGlhZ25vc3RpY3MgdjEgKG0ydGNueGx0bSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMlRDTlhMVE1cIixcIjFcIiwxOTQ5NjUwOTk1LDIzXSJ9/M2TMNXLFO_5.12.4",
+ "description": "M2TMNXLFO (or tavgM_2d_lfo_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as bias corrected precipitation, shortwave and longwave radiation at surface. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812856-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812856-GES_DISC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiB0YXZnY18yZF9sdG1fbng6IDJkLCBzaW5nbGUtbGV2ZWwsIGxvbmcgdGVybSBtZWFuIGRpYWdub3N0aWNzIHYxIChtMnRjbnhsdG0pIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiTTJUQ05YTFRNXCIsXCIxXCIsMTk0OTY1MDk5NSwyMl0iLCJ1bW0iOiJbXCJtZXJyYS0yIHRhdmdjXzJkX2x0bV9ueDogMmQsIHNpbmdsZS1sZXZlbCwgbG9uZyB0ZXJtIG1lYW4gZGlhZ25vc3RpY3MgdjEgKG0ydGNueGx0bSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMlRDTlhMVE1cIixcIjFcIiwxOTQ5NjUwOTk1LDIyXSJ9/M2TMNXLND_5.12.4",
- "description": "M2TMNXLND (or tavgM_2d_lnd_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiB0YXZnY18yZF9sdG1fbng6IDJkLCBzaW5nbGUtbGV2ZWwsIGxvbmcgdGVybSBtZWFuIGRpYWdub3N0aWNzIHYxIChtMnRjbnhsdG0pIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiTTJUQ05YTFRNXCIsXCIxXCIsMTk0OTY1MDk5NSwyM10iLCJ1bW0iOiJbXCJtZXJyYS0yIHRhdmdjXzJkX2x0bV9ueDogMmQsIHNpbmdsZS1sZXZlbCwgbG9uZyB0ZXJtIG1lYW4gZGlhZ25vc3RpY3MgdjEgKG0ydGNueGx0bSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMlRDTlhMVE1cIixcIjFcIiwxOTQ5NjUwOTk1LDIzXSJ9/M2TMNXLND_5.12.4",
+ "description": "M2TMNXLND (or tavgM_2d_lnd_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
@@ -121168,8 +122000,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812857-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812857-GES_DISC.html",
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- "description": "M2TMNXOCN (or tavgM_2d_ocn_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TMNXOCN (or tavgM_2d_ocn_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812858-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812858-GES_DISC.html",
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- "description": "M2TMNXRAD (or tavgM_2d_rad_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiB0YXZnY18yZF9sdG1fbng6IDJkLCBzaW5nbGUtbGV2ZWwsIGxvbmcgdGVybSBtZWFuIGRpYWdub3N0aWNzIHYxIChtMnRjbnhsdG0pIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiTTJUQ05YTFRNXCIsXCIxXCIsMTk0OTY1MDk5NSwyM10iLCJ1bW0iOiJbXCJtZXJyYS0yIHRhdmdjXzJkX2x0bV9ueDogMmQsIHNpbmdsZS1sZXZlbCwgbG9uZyB0ZXJtIG1lYW4gZGlhZ25vc3RpY3MgdjEgKG0ydGNueGx0bSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMlRDTlhMVE1cIixcIjFcIiwxOTQ5NjUwOTk1LDIzXSJ9/M2TMNXRAD_5.12.4",
+ "description": "M2TMNXRAD (or tavgM_2d_rad_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812859-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812859-GES_DISC.html",
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- "description": "M2TMNXSLV (or tavgM_2d_slv_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wibWVycmEtMiB0YXZnY18yZF9sdG1fbng6IDJkLCBzaW5nbGUtbGV2ZWwsIGxvbmcgdGVybSBtZWFuIGRpYWdub3N0aWNzIHYxIChtMnRjbnhsdG0pIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiTTJUQ05YTFRNXCIsXCIxXCIsMTk0OTY1MDk5NSwyM10iLCJ1bW0iOiJbXCJtZXJyYS0yIHRhdmdjXzJkX2x0bV9ueDogMmQsIHNpbmdsZS1sZXZlbCwgbG9uZyB0ZXJtIG1lYW4gZGlhZ25vc3RpY3MgdjEgKG0ydGNueGx0bSkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJNMlRDTlhMVE1cIixcIjFcIiwxOTQ5NjUwOTk1LDIzXSJ9/M2TMNXSLV_5.12.4",
+ "description": "M2TMNXSLV (or tavgM_2d_slv_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812932-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812932-GES_DISC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=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%3D%3D/M2TUNPCLD_5.12.4",
- "description": "M2TUNPCLD (or tavgU_3d_cld_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics on 42 the pressure levels, such as updraft areal fraction, cloud fraction for radiation, in-cloud cloud liquid (or ice) for radiation, and mass fraction of cloud liquid (or ice) water. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=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%3D%3D/M2TUNPCLD_5.12.4",
+ "description": "M2TUNPCLD (or tavgU_3d_cld_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics on 42 the pressure levels, such as updraft areal fraction, cloud fraction for radiation, in-cloud cloud liquid (or ice) for radiation, and mass fraction of cloud liquid (or ice) water. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812933-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812933-GES_DISC.html",
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+ "description": "M2TUNPMST (or tavgU_3d_mst_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist processes diagnostics on the 42 pressure levels, such as convective rainwater source, 3D flux of ice convective (or nonconvective) precipitation, and 3D flux of liquid convective (or nonconvective) precipitation. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812694-GES_DISC.html",
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+ "description": "M2TUNPODT (or tavgU_3d_odt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of ozone tendencies on the 42 pressure levels, such as total ozone analysis tendency, tendency of odd oxygen mixing ratio due to chemistry, tendency of odd oxygen due to moist processes, and tendency of ozone due to dynamics. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812945-GES_DISC.html",
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- "description": "M2TUNPQDT (or tavgU_3d_qdt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist tendencies on the 42 pressure levels, such as tendency of ice (or liquid) water due to dynamics, total ice (or liquid) water tendency due to moist, total specific humidity analysis tendency, and specific humidity tendency due to moist. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TUNPQDT (or tavgU_3d_qdt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist tendencies on the 42 pressure levels, such as tendency of ice (or liquid) water due to dynamics, total ice (or liquid) water tendency due to moist, total specific humidity analysis tendency, and specific humidity tendency due to moist. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812946-GES_DISC.html",
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+ "description": "M2TUNPRAD (or tavgU_3d_rad_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of radiation diagnostics on 42 pressure levels, such as cloud fraction for radiation, and air temperature tendency due to longwave (or shortwave). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour that is time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
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},
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- "description": "M2TUNPTDT (or tavgU_3d_tdt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of air temperature tendencies on 42 pressure levels, such as total temperature analysis tendency, and tendency of air temperature due to dynamics (or friction, moisture, radiation, and physics). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TUNPTDT (or tavgU_3d_tdt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of air temperature tendencies on 42 pressure levels, such as total temperature analysis tendency, and tendency of air temperature due to dynamics (or friction, moisture, radiation, and physics). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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- "description": "M2TUNPTRB (or tavgU_3d_trb_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of turbulence diagnostics on 42 pressure levels, such as total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, and Richardson number from Louis. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TUNPTRB (or tavgU_3d_trb_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of turbulence diagnostics on 42 pressure levels, such as total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, and Richardson number from Louis. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812935-GES_DISC.html",
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- "description": "M2TUNPUDT (or tavgU_3d_udt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of wind tendencies on 42 pressure levels, such as total eastward (or northward) wind analysis tendency, tendency of eastward (or northward) wind due to dynamics, and tendency of eastward (or northward) wind due to turbulence. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TUNPUDT (or tavgU_3d_udt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of wind tendencies on 42 pressure levels, such as total eastward (or northward) wind analysis tendency, tendency of eastward (or northward) wind due to dynamics, and tendency of eastward (or northward) wind due to turbulence. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"license": "proprietary"
},
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},
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+ "description": "M2TUNXCHM (or tavgU_2d_chm_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812871-GES_DISC.html",
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"license": "proprietary"
},
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+ "description": "M2TUNXFLX (or tavgU_2d_flx_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, and evaporation from turbulence. The \u201csurface\u201d in this data collection is the model surface layer. The heights of the model surface layer (HLML) vary with time and location, with the value of ~60 meter above ground. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
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- "description": "M2TUNXGLC (or tavgU_2d_glc_Nx) is a 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TUNXGLC (or tavgU_2d_glc_Nx) is a 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, \u2026 , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812874-GES_DISC.html",
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- "description": "M2TUNXINT (or tavgU_2d_int_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of water and energy related vertically Integrated diagnostics, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TUNXINT (or tavgU_2d_int_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of water and energy related vertically Integrated diagnostics, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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+ "description": "M2TUNXLFO (or tavgU_2d_lfo_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as bias corrected precipitation, shortwave and longwave radiation at surface. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812876-GES_DISC.html",
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- "description": "M2TUNXLND (or tavgU_2d_lnd_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TUNXLND (or tavgU_2d_lnd_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812877-GES_DISC.html",
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- "description": "M2TUNXOCN (or tavgU_2d_ocn_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TUNXOCN (or tavgU_2d_ocn_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"bbox": "-180, -90, 180, 90",
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812881-GES_DISC.html",
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- "description": "M2TUNXRAD (or tavgU_2d_rad_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TUNXRAD (or tavgU_2d_rad_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812878-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1276812878-GES_DISC.html",
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- "description": "M2TUNXSLV (or tavgU_2d_slv_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850 hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
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+ "description": "M2TUNXSLV (or tavgU_2d_slv_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850 hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, \u2026 , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check \u201cRecords of MERRA-2 Data Reprocessing and Service Changes\u201d linked from the \u201cDocumentation\u201d tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
{
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2184005745-GES_DISC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2184005745-GES_DISC.html",
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- "description": "M2_TMAX_PM25 is a value-added product derived from the MERRA-2 aerosol monthly product M2TMNXAER_5.12.4 (or tavgM_2d_aer_Nx). The surface concentration of fine particulate matter (PM2.5) is calculated as the sum of individual aerosol components (organic carbon, black carbon, sulfate, sea salt, and dust) (Buchard et al., 2017) and is recast from the native MERRA-2 model grid. This data collection includes separate files for country-level (and territories) PM2.5 concentrations with and without population weighting applied. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question on data access, email to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), and the question on science, email to the MERRA-2 science team (merra-questions@lists.nasa.gov).",
+ "description": "M2_TMAX_PM25 is a value-added product derived from the MERRA-2 aerosol monthly product M2TMNXAER_5.12.4 (or tavgM_2d_aer_Nx). The surface concentration of fine particulate matter (PM2.5) is calculated as the sum of individual aerosol components (organic carbon, black carbon, sulfate, sea salt, and dust) (Buchard et al., 2017) and is recast from the native MERRA-2 model grid. This data collection includes separate files for country-level (and territories) PM2.5 concentrations with and without population weighting applied. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read \"MERRA-2 File Specification Document\", \u201cMERRA-2 Data Access \u2013 Quick Start Guide\u201d, and FAQs linked from the \u201dDocumentation\u201d tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360468-OB_DAAC.html",
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"description": "Measurements taken along the Massachusetts and Maine coastal regions in 2007.",
"license": "proprietary"
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@@ -121935,7 +122767,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360472-OB_DAAC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360472-OB_DAAC.html",
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"description": "Measurements made during the MANTRA and PIRANA repeat cruises between 2000 and 2003.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2956546176-ORNL_CLOUD.html",
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"description": "MAPSS (Mapped Atmosphere-Plant-Soil System) is a landscape to global vegetation distribution model that was developed to simulate the potential biosphere impacts and biosphere-atmosphere feedbacks from climatic change. Model output from MAPSS has been used extensively in the Intergovernmental Panel on Climate Change's (IPCC) regional and global assessments of climate change impacts on vegetation and in several other projects.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360474-OB_DAAC.html",
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"description": "Measurements made in Massachusetts Bay and the surrounding area from 2002 to 2005.",
"license": "proprietary"
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"license": "proprietary"
},
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"description": "This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Hyperspectral Infrared Imager (HyspIRI) mission's preparatory airborne campaign during 6 flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2013-03-26 to 2013-04-19. An additional purpose of this campaign was an underpass of Landsat 8. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
"license": "proprietary"
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"description": "This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Hyperspectral Infrared Imager (HyspIRI) mission's preparatory airborne campaign during 10 flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2014-03-31 to 2014-05-07. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
},
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"license": "proprietary"
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"license": "proprietary"
},
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"license": "proprietary"
},
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
},
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"license": "proprietary"
},
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"description": "ML3DZMHO2 is the EOS Aura Microwave Limb Sounder (MLS) daily zonal mean product for hydroperoxy derived from radiances measured in two bands from the 640 GHz radiometer. The data version is 5.0. Data coverage is from August 2, 2005 to current. Spatial coverage is near-global (-85 degrees to 85 degrees latitude) spaced every 10 degrees in latitude. The recommended useful vertical range is between 21.5 to 0.0464 hPa, and the vertical resolution is about 5 km. Users of the ML3DZMHO2 data product should read the MLS Radiance Average Retrievals (RAR) Product Guideline document, as well as section 3.2 of the EOS MLS Level 2 Version 5 Quality Document for more information. The data are stored in the version 4 network Common Data Form (netCDF4), which is built on the version 5 Hierarchical Data Format, or HDF5. The netCDF4 files follow the Climate and Forecast (CF) metadata conventions. Each file contains two zonal means objects or groups, one with data from the daytime part of the MLS orbit, the other with the nighttime data. Each zonal means object contains the average, error (precision), solar zenith angle, and local solar time for each latitude band and pressure level. Files also contain metadata attributes describing the data and product.",
"license": "proprietary"
},
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- "description": "The MOD09GA Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 500 meter (m) surface reflectance, observation, and quality bands are a set of ten 1 kilometer (km) observation bands and geolocation flags. The reflectance layers from the MOD09GA are used as the source data for many of the MODIS land products. Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data product is available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09). Improvements/Changes from Previous Versions * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). ",
+ "description": "The MOD09GA Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 500 meter (m) surface reflectance, observation, and quality bands are a set of ten 1 kilometer (km) observation bands and geolocation flags. The reflectance layers from the MOD09GA are used as the source data for many of the MODIS land products. ",
"license": "proprietary"
},
{
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1570116636-OB_DAAC.html",
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"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2471262183-OB_DAAC.html",
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"description": "MODIS (or Moderate-Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2331489353-OB_DAAC.html",
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"description": "The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.",
"license": "proprietary"
},
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"description": "MODIS (or Moderate-Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.",
"license": "proprietary"
},
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"license": "proprietary"
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"license": "proprietary"
},
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"description": "The recently generated MODIS burned area product over southern Africa for the month of September 2000 was used to calculate regional biomass burning emissions from grassland and woodland fires for a number of trace gases and particulates at 1 km spatial resolution. A dynamic regional fuel load model developed for southern Africa in support of SAFARI 2000 fire emissions modeling is used to compute spatially explicit southern Africa fuel load data.",
"license": "proprietary"
},
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"description": "Measurements made in the western Pacific Ocean during September 1998.",
"license": "proprietary"
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"description": "Measurements made in Monterey Bay spanning 2003 to 2006.",
"license": "proprietary"
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"license": "proprietary"
},
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"description": "Measurements made in the Mississippi Sound during 2005 to 2007.",
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"description": "Measurements made near Monterey Bay under the MOOS Upper-water-column Science Experiment (MUSE).",
"license": "proprietary"
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"description": "The Martha's Vineyard Coastal Observatory (MVCO) is operated by Woods Hole Oceanographic Institution. These datasets include measurements collected from and around the Martha's Vineyard site.",
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"description": "Data from 3 drifting buoys deployed in fall, 1992. Two of the buoys were air launched near 140W, -999 degrees in the Pacific Ocean, and one was deployed in Monterey Bay attached to a fixed mooring. The fixed mooring was recovered and subjected to post-calibration.",
"license": "proprietary"
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"description": "This data set describes the temperature and relative humidity at 12 locations around Goddard Space Flight Center in Greenbelt MD at 15 minute intervals between November 2013 and November 2015. These data were collected to study the impact of surface type on heating in a campus setting and to improve the understanding of urban heating and potential mitigation strategies on the campus scale. Sensors were mounted on posts at 2 m above surface and placed on 7 different surface types around the centre: asphalt parking lot, bright surface roof, grass field, forest, and stormwater mitigation features (bio-retention pond and rain garden). Data were also recorded in an office setting and a garage, both pre- and post-deployment, for calibration purposes. This dataset could be used to validate satellite-based study or could be used as a stand-alone study of the impact of surface type on heating in a campus setting.",
"license": "proprietary"
},
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"description": "A global digital data base of vegetation was compiled at 1 degree latitude by 1 degree longitude resolution, drawing on approximately 100 published sources. Vegetation data from varied sources were consistently recorded using the hierarchical UNESCO classification system. The raw data base distinguishes about 180 vegetation types that have been collapsed to 32.",
"license": "proprietary"
},
@@ -136131,7 +136963,7 @@
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"description": "This dataset provides a global 0.25 degree x 0.25 degree gridded monthly mean leaf area index (LAI) climatology as averaged over the period from August 1981 to August 2015. The data were derived from the Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies (GIMMS) LAI3g version 2, a bi-weekly data product from 1981 to 2015 (GIMMS-LAI3g version 2). The LAI3g version 2 (raw) data were first regridded from 1/12 x 1/12 degree to 0.25 x 0.25 degree resolution, then processed to remove missing and unreasonable values, scaled to obtain LAI values, and the bi-weekly LAI values were averaged for every month. Finally, the monthly long-term mean LAI (1981-2015) was calculated.",
"license": "proprietary"
},
@@ -136144,7 +136976,7 @@
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"description": "Measurements taken in the Mediterranean Sea, the Ligurian Sea near Northern Italy and Southern France, and off the western coast of South Africa.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2847115945-ORNL_CLOUD.html",
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"description": "This dataset provides Level 2 (L2) Solar-Induced Fluorescence (SIF) of chlorophyll estimates derived from the Global Ozone Monitoring Experiment 2 (GOME-2) instrument on the European Meteorological Satellite (EUMETSAT) MetOp-A with ~0.5 nm spectral resolution and wavelengths between 734 and 758 nm. GOME-2 covers global land on an orbital basis at a resolution of approximately 40 km x 80 km (before 15 July 2013) or 40 km x 40 km (since 15 July 2013). Data are provided for the period from 2007-02-01 to 2018-02-01. Each file contains daily raw and bias-adjusted solar-induced fluorescence, quality control information, and ancillary data. SIF measurements can provide information on vegetation's functional status, including light-use efficiency and global primary productivity, which can be used for global carbon cycle modeling and agricultural applications. The GOME-2 SIF product is inherently noisy due to low signal levels and has undergone only a limited amount of validation. The data are provided in netCDF format.",
"license": "proprietary"
},
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"description": "This dataset provides Level 2 (L2) Solar-Induced Fluorescence (SIF) of chlorophyll estimates derived from the Global Ozone Monitoring Experiment 2 (GOME-2) instrument on the European Meteorological Satellite (EUMETSAT) MetOp-B with ~0.5 nm spectral resolution and wavelengths between 734 and 758 nm. GOME-2 covers global land (observations up to 75-degree solar zenith angle) at a resolution of approximately 40 km x 80. Data are provided for the period from 2013-04-01 to 2021-06-07. Each file contains daily raw and bias-adjusted solar-induced fluorescence along with quality control information and ancillary data. SIF measurements can provide information on the functional status of vegetation including light-use efficiency and global primary productivity that can be used for global carbon cycle modeling and agricultural applications. The GOME-2 SIF product is inherently noisy owing to low signal levels and has undergone only a limited amount of validation. The data are provided in netCDF (*.nc) format.",
"license": "proprietary"
},
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"description": "The BigFoot Project has compiled daily meteorological measurements for nine EOS Land Validation Sites located from Alaska to Brazil from 1991 to 2004. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest.The BigFoot Project needed meteorological data to run the ecosystem process models used for scaling GPP and NPP products, for monitoring interannual variability, and for model testing. Meteorological data were obtained from various agencies collecting data in the vicinity of the BigFoot sites and for more recent years, collected on co-located CO2 flux measurement towers. A comparable set of original measurements from all sites were aggregated to a common daily time step for use in the BIOME-BGC model. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345793484-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345793484-ORNL_CLOUD.html",
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"description": "This dataset provides the hourly average of continuous atmospheric measurements of methane (CH4) from two urban sites and three boundary sites in and around Boston, Massachusetts, U.S., from September 2012-May 2020, measured with Picarro cavity ring down spectrometers (CRDS). Five-minute average atmospheric measurements of ethane (C2H6) and methane at Copley Square in Boston, MA, are also provided, with ethane measured with a laser spectrometer and methane measured with a Picarro CRDS. Background CH4 concentrations for the urban sites were determined using Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model trajectories at the boundary of the study region based on measurements at three boundary sites and wind direction from the North American Mesoscale Forecast System (NAM) 12-kilometer meteorology.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345877554-ORNL_CLOUD.html",
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"description": "This dataset contains annual global flare site surveys from 2012-2019 derived from Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar Partnership (SNPP) satellite. Gas flaring sites were identified from heat anomalies first estimated by the VIIRS Nightfire (VNF) algorithm from which high-temperature biomass burning and low-temperature gas flaring were separated based on temperature and persistence. Nightly observations for each flare site were drawn to determine their activity in the given calendar year. Data include flare location, temperature, and estimated flared gas volume; flaring data summarized by country; and KMZ files for viewing flaring locations in Google Earth. This dataset is valuable for measuring the current status of global gas flaring, which can have significant environmental impacts.",
"license": "proprietary"
},
@@ -136261,7 +137093,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2108362424-OB_DAAC.html",
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"description": "Tara microbiome is the latest Tara expedition focused on plankton. The Microbiome Mission will help us understand the services provided by this essential ecosystem of the Ocean, its microbiome, an increasingly crucial challenge for scientific research and is done in conjunction with the AtlantECO program where additional ships will collect similar variables.",
"license": "proprietary"
},
@@ -136274,7 +137106,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863233-ORNL_CLOUD.html",
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"description": "The U.S. Department of Agriculture, Agriculture and Agri-Food Canada, the Russian Academy of Agricultural Sciences, the University of Copenhagen Institute of Geography, the European Soil Bureau, the University of Manchester Institute of Landscape Ecology, MTT Agrifood Research Finland, and the Agricultural Research Institute Iceland have shared data and expertise in order to develop the Northern and Mid Latitude Soil Database (Cryosol Working Group, 2001). This database was the source of data for the current product. The spatial coverage of the Northern and Mid Latitude Soil Database is the polar and mid-latitude regions of the northern hemisphere: Alaska, Canada, Conterminous United States, Eurasia (except Italy), Greenland, Iceland, Kazakstan, Mexico, Mongolia, Italy, and Svalbard. The Northern and Mid-Latitude Soil Database represents the proportion (percentage) of polygon encompassed by the dominant soil or nonsoil. Soils include turbels, orthels, histels, histosols, mollisols, vertisols, aridisols, andisols, entisols, spodosols, inceptisols (and hapludolls), alfisols (cryalf and udalf), natric great groups, aqu-suborders, glaciers, and rocklands. Also included are data on the circumpolar distribution of gelisols (turbels, orthels, and histels), and the ice content (low, medium, or high) of circumpolar soil materials (from the International Permafrost Association, 1997). The resulting maps show the dominant soil of the spatial polygon unless the polygon is over 90 percent rock or ice. Data are in the U.S. soil classification system and includes the distribution of soil types (%) within a map unit (polygon). Data are available in ESRI shapefile format and include the same attribute values with the exception of Italy, which does not contain distribution values.",
"license": "proprietary"
},
@@ -136287,7 +137119,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785397264-OB_DAAC.html",
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"description": "The dataset comprises in-situ hyperspectral data acquired using the on-water approach (aka skylight-blocked approach), using a combination of a downwelling irradiance sensor and an upwelling radiance sensor. These sensors are specifically TriOS RAMSES hyperspectral radiometers, each associated with two calibration files. The data collection was conducted across different reservoirs in the state of Missouri USA. This NASA-funded project directly addresses how Earth-observing satellite data can better inform critical links between the biogeochemical and optical properties of inland waters. It achieves this by using satellite imagery and in-situ measurements from two long-running water quality monitoring programs in the state of Missouri that annually record more than one thousand measurements of nitrogen, phosphorus, chlorophyll-a, Secchi depth, particulate organic and inorganic matter, and cyanotoxins across 100 reservoirs.",
"license": "proprietary"
},
@@ -136300,7 +137132,7 @@
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"description": "This dataset provides global monthly wetland methane (CH4) emissions estimates at 0.5 by 0.5-degree resolution for the period 2001-01-01 to 2022-08-31 that were derived from an ensemble of multiple terrestrial biosphere models, wetland extent scenarios, and CH4:C temperature dependencies that encompass the main sources of uncertainty in wetland CH4 emissions. There are 18 model configurations. WetCHARTs v1.3.3 is an updated product of WetCHARTs v1.3.1 dataset. The intended use of this product is as a process-informed wetland CH4 emission data set for atmospheric chemistry and transport modeling. Users can compare estimates by model configuration to explore variability and sensitivity with respect to ensemble members. The data are provided in netCDF format.",
"license": "proprietary"
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"description": "Measurements made in and around Mumford Cove, Connecticut since 2015.",
"license": "proprietary"
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"description": "Measurements taken along a zonal transect from Hawaii across the western Pacific Ocean in 2011.",
"license": "proprietary"
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"license": "proprietary"
},
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"description": "Measurements made in the North Atlantic Bight in 2008.",
"license": "proprietary"
},
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"description": "Measurements made off the Atlantic Coast of Europe as part of the North Atlantic Bloom Experiment (NABE) in 1989.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517711781-ORNL_CLOUD.html",
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"description": "This data set provides organic soil layer characteristics, estimated carbon content, and soil depth measurements made at four black spruce stands in interior Alaska that had burned twice in the last 37-52 years (intermediate-interval fire events). The most recent fires occurred in 2004, 2005, and 2010. Measurements of soil depth and distance from the adventitious roots to the soil, and total organic matter are also included for unburned black spruce sites adjacent to the burned sites dominated by live, intermediate-aged (~37-52 years) black spruce trees.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2539900339-ORNL_CLOUD.html",
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"description": "This data set provides estimates of aboveground biomass (AGB) for defined land cover types within World Wildlife Fund (WWF) ecoregions across the boreal biome of Alaska and western and eastern Canada, roughly between 45 and 70 degrees N. The study focused on within-growing-season data, i.e. leaf-on conditions.The AGB estimates were derived from a series of models that first related ground-based measured biomass to Portable Airborne Laser System (PALS) LiDAR measurements, and a second set of models that related the airborne estimates of biomass to Geoscience Laser Altimeter System (GLAS) LiDAR canopy structure measurements. The GLAS LiDAR biomass estimates were extrapolated by land cover types and ecoregions across the entire biome area.The study compiled remotely sensed forest structure data collected in June of 2005 and 2006 from the GLAS LiDAR instrument aboard the NASA Ice, Cloud, and land Elevation (ICESat) satellite and from the PALS airborne instrument flown at various times from 2005-2009 over both the ground plots and the ICESat GLAS flight path. For a consistent biome-level analysis, ecoregions contained within the boreal forest biome were identified by the World Wildlife Fund's (WWF) ecoregion map of the world (Olson et al., 2001). Land cover maps were used to identify land cover types for stratification purposes within eco-regions. Land cover data for Canada were provided by the Earth Observations for Sustainable Development (EOSD) project centered on year 2000, with images from 1999 to 2002. The National Land Cover Data (NLCD) 2001 classification was used for Alaska based on data collected between 1999 and 2004. The ground-based measurements are not provided with this data set.",
"license": "proprietary"
},
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"description": "This data set includes biophysical measurements collected in 2009 from five New England experimental forest stations: Bartlett Experimental Forest, Harvard Forest, Howland Research Forest, Hubbard Brook Experimental Forest, and the Penobscot Experimental Forest. Howland measurements were repeated in 2010 and one site in the Sierra National Forest, California, was surveyed in 2008. Biomass in respective measurement plots was calculated with allometric equations using measured diameter at breast height (DBH) for trees greater than 10 cm and species identification. Within selected subplots, the number of stems with diameters less than 10 cm were counted and classified to allow for an estimate of biomass for these stems. There are 16 data files provided that present the biophysical measurement results and the biomass estimates in ASCII comma-separated format. For a subset of sites and plots (Bartlett Experimental Forest, Harvard Forest and Howland Research Forest), more intensive inventories were done in coordination with Echidna lidar imaging (Strahler et al., 2008). In these intensive collections, the stem location, species, DBH and live/dead status were recorded for all stems with total stem height and canopy dimensions recorded for every tenth stem. In addition, for stems below 10 cm DBH, species and count were recorded in a subplot of each intensive inventory plot. See the related data set Strahler et al., 2011.Investigators from Federal and university laboratories conducted these field campaign to make estimates of forest biophysical attributes that will prove useful in comparisons with airborne lidar (LVIS) and UAVSAR remote sensing acquisitions. The North American Carbon Program (NACP) is a multi-disciplinary research program designed to obtain scientific understanding of North America's carbon sources and sinks and of the changes in carbon stocks needed to meet societal concerns, and to provide tools for decision makers. NACP began in 2002 and continues to date. The NACP data collection contains continental carbon budgets, dynamics, processes, and management of the sources and sinks of carbon dioxide, methane, and carbon monoxide in North America and in adjacent ocean regions. ",
"license": "proprietary"
},
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"description": "This dataset contains annual estimates of carbon stocks, fluxes, and productivity over forested land in 11 states of the western USA (Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming). The estimates were produced from multiple simulations using the Community Land Model (v4.5) with different climate forcing data and prescribed harvest rates. Business as usual (BAU) scenarios were run to ensure that the simulations represented present-day stand ages. The estimates span two modeled time periods, 1979-2014 and 2015-2099, at 1/24-degree (4 km x 4 km) resolution. Variables included are gross primary production (GPP), net ecosystem exchange (NEE), net ecosystem productivity (NEP), net primary production (NPP), autotrophic respiration (RA), heterotrophic respiration (RH), transpiration factor, aboveground live tree carbon, carbon loss from fire, allocation to stem carbon, and burned area fraction over forested areas of the western USA.",
"license": "proprietary"
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"description": "This data set is a collection of measurements of carbon dioxide (CO2) and non-CO2 greenhouse gases made across North America by nine independent atmospheric monitoring networks from 2000 - 2009. During this North American Carbon Program (NACP) sponsored activity, data were compiled from the following networks: AGAGE, COBRA, CSIRO, INTEX-A, INTEX B, Irvine Latitude Network, NOAA CMDL, SCRIPPS, and Stanley Tyler-UC Irvine. The files presented here are the products of merging multiple original measurement results files for selected sites across North America from each monitoring network. The primary focus of this effort was the compilation of non-CO2 greenhouse gases over North America, but numerous CO2 observations are also included. The data files for each network are accompanied by detailed readme documentation files prepared by the respective network investigators. Project descriptions, objectives, references, sampling and analysis methods, and data file descriptions are included in these READMEs. Table 1 in the documentation displays the monitoring network sites, sample types, analytes, and links to the detailed network README files. Network- and laboratory-specific data citations are included in the README documentation and should be used to acknowledge the use of these data as appropriate. The data files for each monitoring network and each sampling type (continuous or flasks) have been combined into one compressed (*.zip) file along with the detailed README document. There are 17 compressed files that when expanded contain data files which represent one years data for that specific campaign and sampling method. The number of annual files that were compiled from a network into this collection varies.",
"license": "proprietary"
},
@@ -136950,7 +137782,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2539907396-ORNL_CLOUD.html",
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"description": "This data set provides a bottom-up CO2 emissions inventory for the mid-continent region of the United States for the year 2007. The study was undertaken as part of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) campaign. Emissions for the MCI region were compiled from these resources into nine inventory sources (Table 1):(1) forest biomass and soil carbon, harvested woody products carbon, and agricultural soil carbon from the U.S. Greenhouse Gas (GHG) Inventory (EPA, 2010; Heath et al., 2011);(2) high resolution data on fossil and biofuel CO2 emissions from Vulcan (Gurney et al,. 2009); (3) CO2 uptake by agricultural crops, lateral transport in crop biomass harvest, and livestock CO2 emissions using USDA statistics (West et al., 2011); (4) agricultural residue burning (McCarty et al., 2011);(5) CO2 emissions from landfills (EPA, 2012);(6) and CO2 losses from human respiration using U.S. Census data (West et al., 2009). The CO2 inventory in the MCI region was dominated by fossil fuel combustion, carbon uptake during crop production, carbon export in biomass (commodities) from the region, and to a lesser extent, carbon sinks in forest growth and incorporation of carbon into timber products. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2539908010-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2539908010-ORNL_CLOUD.html",
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"description": "This data set provides estimates of Net Ecosystem Exchange (NEE) flux for the U.S. Upper Midwest at 0.5-degree resolution for the year 2007. Estimates were produced by two atmospheric CO2 inversion systems (top-down), referenced as the continental Colorado State University (CSU) inversion and the mesoscale Pennsylvania State University (PSU) inversion. This modeling work was performed in support of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) experimental campaign in the U.S. Upper Midwest designed to evaluate innovative methods for CO2 flux inversion and data assimilation. The experiment was performed over a relatively flat, heavily managed agricultural landscape which features a high density of atmospheric CO2 observation measurements. Among the CO2 observations used by the inversion systems were results from a network of instrumented tall towers in the region. The NEE estimates were produced for comparison with CO2 fluxes derived from bottom-up inventory estimates.There are five data files with this data set. The NEE estimates are provided in two NetCDF files, one for each inversion system. Boundary CO2 inflow data used by each inversion system are provided in three comma-separated-format files (.csv).",
"license": "proprietary"
},
@@ -136976,7 +137808,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2539941056-ORNL_CLOUD.html",
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"description": "This data set provides high precision and high accuracy atmospheric CO2 data from seven instrumented communication towers located in the U.S. Upper Midwest. The overall sampling period was from January 2007 through December 2009 although actual sampling dates vary within this time period for individual towers and sampling heights above ground level. The measurements were obtained in support of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) campaign.The sampling network included: the five Ring 2 towers (Centerville (Iowa), Galesville (Wisconsin), Kewanee (Illinois), Mead (Nebraska), and Round Lake (Minnesota)) deployed and operated by PSU; the Missouri Ozarks (Missouri) co-located AmeriFlux site (PSU/Oak Ridge National Laboratory (ORNL)); and the Rosemount (Minnesota) tall tower trace gas observatory (University of Minnesota, Rosemount Research and Outreach Center (RROC)). Hourly CO2 dry mole fractions (in ppm) were averaged from measurements made at different above-ground levels on the towers and are reported in Coordinated Universal Time (UTC). For the five Ring 2 sites, daily daytime average CO2 dry mole fractions were also calculated, from hourly values between 12:00-17:00 local standard time and reported in UTC. There are seven compressed (.zip) data files and one comma-separated (.csv) file with this data set. Data quality flags are provided in each file. ",
"license": "proprietary"
},
@@ -136989,7 +137821,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2631228736-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2631228736-ORNL_CLOUD.html",
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"description": "This data set provides an integrated collection of (1) ground-based meteorological, radiometric, and vegetation measurements, (2) flux-based estimates of gross primary production (GPP), and (3) numerous vegetation indices derived from satellite imagery for three eddy covariance flux tower locations near Lincoln, Nebraska, USA. Land use surrounding the towers is cropland with corn and soybeans. Data are reported for selected days during the growing seasons of 2001 through 2008 only when ground-based crop canopy reflectance was measured. Algorithms developed to relate ground-based and satellite spectral information to GPP of the cropland adjacent to the towers are provided. AmeriFlux tower-based Level 2 measurements included photosynthetically active radiation (PAR), heat flux, and GPP estimates; see Section 2 for specific towers.Ground-based measurements on the corn and soybean vegetation surrounding the towers included total chlorophyll content (Chl) and leaf area index (LAI). Ground-based crop canopy reflectance was measured at 5.4 m above the corn and soybean canopy using hyperspectral radiometers (range 400 to 1100 nm) during the growing season from May to October in eight different years (2001-2008). This resulted in 173 measurement campaigns (18 in 2001, 31 in 2002, 34 in 2003, 31 in 2004, 21 in 2005, 15 in 2006, 14 in 2007, and 9 in 2008). Spectral bands from Landsat TM and ETM+, MERIS , and MODIS instruments were used to calculate vegetation indices. Vegetation indices related to chlorophyll can be used as a proxy for GPP because of the observed close relationship between GPP and Chl content in crops. Algorithms developed to relate spectral information to the GPP of the cropland adjacent to the towers are provided as companion files.",
"license": "proprietary"
},
@@ -137002,7 +137834,7 @@
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"description": "This data set provides modeled carbon flux estimates at 8-km spatial resolution over North America for the year 2004 of (1) net ecosystem exchange (NEE) of carbon dioxide (CO2), (2) net ecosystem production (NEP, the balance of net primary production and heterotrophic respiration), (3) stream evasion (CO2 emitted from streams and rivers), (4) emissions from harvested forest and agricultural products, and (5) emissions from biomass burning.Annual estimates, in g C/m2/year, are provided for all five fluxes. Daily estimates, in g C/m2/day, are provided for NEP and stream evasion fluxes. Fluxes for fire emissions, harvest decomposition/respiration, stream evasion, and NEP were derived as described in Section 5.NEE fluxes were estimated using a full bottom-up accounting of NEE produced by integrating emissions from harvested forest and agricultural products, CO2 emitted from streams and rivers, and biomass burning in the CarbonTracker (version 2011_oi) modeling system. NEE estimates were run in the forward mode through the CarbonTracker inversion setup that calculates CO2 uptake and release at the Earth's surface over time. Refer to Turner et al.(2013) for details.There are seven data files in NetCDF (.nc) format with this data set, including: five annual files for fire emissions, harvest decomposition/respiration, stream evasion, NEP, and NEE fluxes; and two daily files for NEP and stream evasion fluxes.",
"license": "proprietary"
},
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"description": "This data set provides environmental data that have been standardized and aggregated for use as input to carbon cycle models at global (0.5-degree resolution) and regional (North America at 0.25-degree resolution) scales. The data were compiled from selected sources (Table 2) and integrated into gridded global and regional collections of climatology variables (precipitation, air temperature, air specific humidity, air relative humidity (NA only), pressure, downward longwave radiation, downward shortwave radiation, and wind speed), time-varying atmospheric CO2 concentrations, time-varying nitrogen deposition, biome fraction and type, land-use and land-cover change, C3/C4 grasses fractions, major crop distribution, phenology, multiple soil characteristics, and a land-water mask. The temporal ranges of the data are sufficient for carbon cycle model simulations from 1801 to 2010. These data were compiled specifically for the North American Carbon Program (NACP) Multi-Scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) as the prescribed model input driver data (Huntzinger et al., 2013). The driver data were used by 22 terrestrial biosphere models to run baseline and sensitivity simulations. The standardized data provided consistent model inputs to minimize the inter-model variability caused by differences in environmental drivers and initial conditions. Together with the sensitivity simulations, the standardized input data enable better interpretation and quantification of structural and parameter uncertainties of model estimates. Data are provided in Climate and Forecast (CF) metadata convention compliant (version 1.4) netCDF-4 file formats. There are 3,152 *.nc4 data files with this data set. ",
"license": "proprietary"
},
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"description": "This data set provides a summary of the model structure and characteristics of participating models in the North American Carbon Program (NACP) Multi-scale synthesis and Terrestrial Model Intercomparison Project (MsTMIP), a formal model intercomparison and evaluation effort focused on improving the diagnosis and attribution of carbon exchange at regional and global scales. Model structure refers to the types of processes considered (e.g. nutrient cycling, disturbance, lateral transport of carbon), and the specific ways these processes are represented (e.g. photosynthetic formulation, temperature sensitivity, respiration) in the models. These data are the result of a comprehensive survey of investigators responsible for each MsTMIP participating model. For a given characteristic (i.e., process/attribute), a model was assigned a binary value (0 or 1) indicating whether it included a particular characteristic; a value of one (1) was given if it considered or included that process, or a zero (0) if it did not. MsTMIP builds upon current and past synthesis activities, and has a unique framework designed to isolate, interpret, and inform understanding of how model structural differences impact estimates of carbon uptake and release. There is one data file with this data set in .csv format.",
"license": "proprietary"
},
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"description": "This data set provides global gridded estimates of carbon, energy, and hydrologic fluxes between the land and atmosphere from 15 Terrestrial Biosphere Models (TBMs) in a standard format. Model estimates are at monthly and yearly time steps for the period 1900 to 2010, with a spatial resolution of 0.5 degree x 0.5 degree globally, excluding Antarctica.",
"license": "proprietary"
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"description": "This data set provides soil maps for the United States (US) (including Alaska), Canada, Mexico, and a part of Guatemala. The map information content includes maximum soil depth and eight soil attributes including sand, silt, and clay content, gravel content, organic carbon content, pH, cation exchange capacity, and bulk density for the topsoil layer (0-30 cm) and the subsoil layer (30-100 cm). The spatial resolution is 0.25 degree. The Unified North American Soil Map (UNASM) combined information from the state-of-the-art US General Soil Map (STATSGO2) and Soil Landscape of Canada (SLCs) databases. The area not covered by these data sets was filled by using the Harmonized World Soil Database version 1.21 (HWSD1.21). The Northern Circumpolar Soil Carbon (NCSCD) database was used to provide more accurate and up-to-date soil organic carbon information for the high-latitude permafrost region and was combined with soil organic carbon content derived from the UNASM (Liu et al., 2013). The UNASM data were utilized in the North American Carbon Program (NACP) Multi-Scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) as model input driver data (Huntzinger et al., 2013). The driver data were used by 22 terrestrial biosphere models to run baseline and sensitivity simulations. The compilation of these data was facilitated by the NACP Modeling and Synthesis Thematic Data Center (MAST-DC). MAST-DC was a component of the NACP (www.nacarbon.org) designed to support NACP by providing data products and data management services needed for modeling and synthesis activities.",
"license": "proprietary"
},
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"description": "This dataset reports continuous atmospheric measurements of CO2 from two receptor sites and three boundary sites in and around Boston, Massachusetts, USA, that were combined with high-resolution CO2 emissions estimates and the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to estimate regional CO2 emissions from September 2013 to December 2014. The HYSPLIT model followed an ensemble of 1,000 particles released at the urban CO2 measurement sites backward in time based on wind fields and turbulence from the North American Mesoscale Forecast System (NAM) at 12-km resolution to the boundary CO2 measurement sites to derive footprint values and CO2 enhancements expected from the prior emissions based on the Anthropogenic Carbon Emissions System (ACES) inventory and the urban-Vegetation Photosynthesis Respiration Model (urbanVPRM). This dataset contains three sets of data products: (1) observed hourly mean CO2 observations for two urban receptor sites in Boston, MA (Boston University (BU) and Copley Square (COP)), (2) observed hourly mean CO2 and calculated vertical profiles (50 - 5000 m) for three boundary sites around Boston including Harvard Forest at Petersham, MA (HF), Canaan, NH (CA), and Martha's Vineyard, MA (MVY), and modeled mean boundary CO2 concentrations for particles released from BU and COP, and (3) particle trajectory files including footprint values and CO2 enhancements above boundary CO2 concentrations from the HYSPLIT model.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517713672-ORNL_CLOUD.html",
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"description": "This data set provides Biome-BGC modeled estimates of carbon stocks and fluxes in the U.S. Pacific Northwest for the years 1986-2010. Fluxes include net ecosystem production (NEP), and net aboveground wood growth. Stocks include aboveground wood mass. Also present are mapped distributions of associated forest disturbances, distinguished by disturbance type (harvest, fire, pest/pathogen). The data are presented in a mapped form as well as in tabular summaries broken out by ownership and ecoregion. Maps of annual precipitation and temperature data are included for the years 1980-2010.",
"license": "proprietary"
},
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"description": "This dataset from the PalEON Ecosystem Model Intercomparison Project (PEMIP) provides harmonized regional environmental and meteorological drivers at a resolution of 0.5 degrees for the North-central and Northeastern U.S. over the time period 0850-01-01 to 2010-12-31. This dataset consists of the regional environmental and meteorological drivers. The environmental drivers include (1) dominant biome type, (2) plant functional type, (3) annual carbon dioxide concentration, (4) monthly carbon dioxide concentration, (5) land use-land cover change, (6) nitrogen concentrations, and (7) soil measurements. The meteorological drivers include (1) incident longwave radiation, (2) incident shortwave radiation, (3) precipitation, (4) surface pressure, (5) specific humidity, (6) air temperature, and (7) wind speed. The PEMIP is a coordinated effort to develop a set of terrestrial ecosystem model simulations with the ability to evaluate high-resolution ecophysiological causes and consequences of forest responses to climatic variability and change over the past millennium.",
"license": "proprietary"
},
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"description": "This data set provides landcover maps of (1) peatland type (bog, fen, marsh, swamp) with levels of biomass (open, forested) and (2) Burn Severity Index (BSI) (Dyrness and Norum, 1983) for four wildfire areas in northern Alberta, Canada. The four wildfire sites include the Utikuma fire site of 2011, Kidney Lake fire site of 2011, Fort McMurray west fire site of 2009, and Fort McMurray east fire site of 2009. The peatland classification at 12.5-m resolution (fen vs. bog including treed vs. open vs. shrubby) at each wildfire site was based on a pre-burn 2007 multi-date, multi-sensor fusion (Optical-IR, C-band and L-band SAR) approach. Over 350 field locations were sampled in central Alberta to train and validate the peatland type maps. The additional site, Wabasca, was an unburned site. Burn severity was measured in the field using the Burn Severity Index (BSI) (Dyrness and Norum 1987), a qualitative assessment of burnt moss that uses a 1-5 scale, with 1 being unburnt and 5 being severely burnt. The field data of ground consumption were correlated with Landsat pre- and post-burn imagery, specific to peatlands, to develop multivariate models for calculating burn severity and %-not-sphagnum-moss. These models were used to generate the Burn Severity Maps at 30-m resolution (percent unburned moss, and the burn severity index (BSI)). All sites were visited in 2013 for field measurements and the Utikuma site was also visited in 2012 for field measurements. Additional biophysical data for the various peatlands (aboveground biomass \u0096 tree and shrub, plant heights, density, etc. were collected and will be provided in another data set. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517704644-ORNL_CLOUD.html",
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"description": "This dataset provides a land cover map focused on peatland ecosystems in the upper peninsula of Michigan. The map was produced at 12.5-m resolution using a multi-sensor fusion (optical and L-band SAR) approach with imagery from Landsat-5 TM and ALOS PALSAR collected between 2007 and 2011. A random forest classifier trained with polygons delineated from field data and aerial photography was used to determine pixel classes. Accuracy assessment based on field-sampled sites show high overall map accuracy (92%).",
"license": "proprietary"
},
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"description": "This data set provides two products that were derived from the recently published North American Carbon Program (NACP) Regional Synthesis 1-degree terrestrial biosphere model (TBM) and inverse model (IM) outputs (Gridded 1-deg Observation Data and Biosphere and Inverse Model Outputs, Wei et al., 2013). The first product is the aggregation of the standardized gridded 1-degree TBM and IM outputs to the Greenhouse Gas (GHG) inventory zones as defined for North America (United States, Canada, and Mexico). Depending on the data availability, the monthly/yearly Net Ecosystem Exchange (NEE), Net Primary Production (NPP), Total Vegetation Carbon (VegC), Heterotrophic Respiration (Rh), and Fire Emissions (FE) outputs from the 22 TBM and 7 IM models were aggregated from the 1-degree resolution gridded format to the inventory zones and then, further divided into Forest Lands, Crop Lands, and Other Lands sectors within each inventory zone based on the 1-km resolution GLC2000 land cover map (GLC2000, 2003).The second product is the North American national GHG inventories on the scale of inventory zones which contain estimated land-atmosphere exchange of CO2 (NEE) in forest lands, crop lands, and other lands sectors. NEE estimates were synthesized from inventory-based data on productivity, ecosystem carbon stock change, and harvested product stock change, and additional information from national-level GHG inventories of the United States, Canada, and Mexico including EPA (2011) and Environment Canada (2011).An additional summary file of annual mean NEE (2000-2006)is provided for both land sectors and reporting zones in North America and was created by combining the aggregated model output and the national GHG database and is provided. The aggregated monthly and yearly model output data and the national GHG inventories data are available in comma separated value (*.csv) format files. Also provided are detailed inventory zone spatial data as an ESRI Shapefile. Included are zone names, boundaries, and zone and land cover type area attributes. For mapping convenience, the inventory zones shapefile was merged with 1-km forest, crop, and other lands masks to create a 1-km resolution reference data file that was converted to GeoTIFF format. The GeoTIFF defines to which inventory zone and land cover type each 1-km grid cell belongs.This document provides detailed information about the content, format, and processing procedures of these two data products. Detailed descriptions of the TBMs and IMs can be found in a separate companion document: NACP Regional Synthesis - Description of Observations and Models. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2555119330-ORNL_CLOUD.html",
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"description": "This data set contains standardized gridded observation data, terrestrial biosphere model output data, and inverse model simulations of carbon flux parameters that were used in the North American Carbon Program (NACP) Regional Synthesis activities. The data set provides five observation data files (MODIS GPP, MODIS NPP, FIA forest biomass/forest area, NASS crop NPP, and NASS agricultural land fraction) and simulation results from 18 terrestrial biosphere models (TBM) (28 variables; 114 files) and seven inverse models (IM) (two variables; 8 files). To produce this data set, the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) resampled original model simulation results and observation measurement data to 1-degree spatial resolution for North American region, interpolated into monthly or yearly temporal resolution, and reformatted into Climate and Forecast (CF) convention compatible netCDF format. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2539941553-ORNL_CLOUD.html",
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"description": "This data set contains the originally-submitted observation measurement data, terrestrial biosphere model output data, and inverse model simulations that various investigator teams contributed to the North American Carbon Program (NACP) Regional Synthesis activities. The data set provides nine (9) data packages of remote sensing and ground observation measurements (OM) (MODIS gross primary productivity (GPP), MODIS net primary production (NPP), MODIS fraction of photosynthetically active radiation (fPar), MODIS leaf area index (LAI), MODIS enhanced vegetation index (EVI), MODIS normalize difference vegetation index (NDVI), Forest Inventory and Analysis (FIA) forest biomass, National Agricultural Statistics Service (NASS) crop NPP, and Flux Anomaly). The data set also provides data packages of simulation results from 19 terrestrial biosphere models (TBM) and eight (8) inverse models (IM). The data packages are respectively OM, TBM, and IM data files listed in Tables 4-6. Each OM, TBM, and IM data package contains all of the original data (and documentation, if any) that the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) acquired or received. These originally-submitted data were processed by the MAST-DC to produce the three standardized gridded data sets of carbon flux for inter-comparison purposes (see Related Data Products below). These original data and documentation are provided to allow users of the standardized gridded data products to be able to trace back to the data origins when needed. The Data Center (ORNL DAAC) transformed some of the originally-submitted data files to file formats that are more suitable for long-term archiving. For example, *.xlsx files were saved as *.csv, ERDAS Imagine files were converted to GeoTIFFs, and MATLAB files were converted to GeoTIFF and NetCDF formats as appropriate. Files received in NetCDF, GeoTIFF, and HDF formats were not transformed. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2552200592-ORNL_CLOUD.html",
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"description": "This data set contains standardized gridded observation data, terrestrial biospheric model output, and inverse model simulations that were compiled but not used in the North American Carbon Program (NACP) Regional Synthesis activities, thus the supplemental designation. The data set provides six (6) observation data packages (9 variables - MODIS LAI, MODIS FPAR, MODIS NDVI, MODIS EVI, FIA forest biomass, forest area, GPP Anomaly, NEE Anomaly, Reco Anomaly; 8 data files), output results from three terrestrial biosphere models (TBM) (14 variables; 214 files), and simulations from one inverse model (IM) (one variable; 1 file). To produce this data set, the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) original data files were resampled to 1-degree spatial resolution for North American region (except for FIA Forest Biomass which was resampled to 0.5-degree resolution), interpolated into monthly or yearly temporal resolution, and reformatted into Climate and Forecast (CF) convention compatible netCDF format.",
"license": "proprietary"
},
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"description": "This data set contains the original model output data submissions from the 24 terrestrial biosphere models (TBM) that participated in the North American Carbon Program (NACP) Site-Level Synthesis. The model teams generated estimates for, but not limited to, a minimum of six variables, including gross primary productivity (GPP), net ecosystem exchange (NEE), leaf area index (LAI), ecosystem respiration (Re), latent heat flux (LE), and sensible heat flux (H) for each of 47 selected eddy covariance flux tower sites across North America. Participating modeling teams followed the NACP Site Synthesis Protocol (site_synthesis_protocol_v7.pdf), which covers procedures, plans, and infrastructure for the site-level analyses. File format and units conversions of several data submissions were made by the MAST-DC to produce NetCDF files of consistent content and structure for all 24 TBM outputs. The model outputs are structured as described in Appendix A: Model Output Variables, of the Site Synthesis Protocol. In addition, MAST-DC processed these original model submissions to derive uniquely processed and formatted data files for model inter-comparison and evaluation (NACP Site: Terrestrial Biosphere Model and Aggregated Flux Data in Standard Format). This related data set provides GPP, NEE, LAI, Re, LE, and sensible heat (H) model output variables at the native half-hourly time step, and in daily, monthly, and annual aggregations. The related data set also contains gap-filled observations and total uncertainty estimates at the same time steps.There are 24 compressed (*.zip) files with this data set -- one file for each model. When expanded, the .zip files contain model output data files for flux tower sites in NetCDF and some in text formats.",
"license": "proprietary"
},
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"description": "This data set provides standardized output variables for gross primary productivity (GPP), net ecosystem exchange (NEE), leaf area index (LAI), ecosystem respiration (Re), latent heat flux (LE), and sensible heat flux (H) from 24 terrestrial biosphere models for 47 eddy covariance flux tower sites in North America. Each model used standardized input data for each flux tower site (i.e., gap-filled, locally observed weather; land use history; and other site specific data) and followed standard model setup and spinup procedures. The files also contain gap-filled observations and total uncertainty estimates. The data set was compiled for the North American Carbon Program (NACP) Site-Level Synthesis for use in model inter-comparison and assessment of how well the models simulate carbon processes across vegetation types and environmental conditions in North America. There is one compressed (.zip) file with this data set. When expanded, the .zip file contains model output data for one variable at one site. The model output and observations are available at the native half-hourly time step, or in daily, monthly, and annual aggregations, in comma-separated text (.csv) format. ",
"license": "proprietary"
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"description": "This data set contains meteorological, carbon cycle flux, phenology, and ancillary data measured at 47 eddy covariance flux tower sites across North America. The data were used by North American Carbon Program (NACP) Site-Level Synthesis as model driver data and for assessing how well 24 Terrestrial Biosphere Models simulated carbon processes across vegetation types and environmental conditions.*The meteorology data include eight variables: air temperature (K), specific humidity (kg/kg), wind speed (m/s), precipitation (kg/m2/s), surface pressure (Pa), surface incident shortwave radiation (W/m2), surface incident longwave radiation (W/m2), and CO2 concentration (ppm). Gap-filled data were used by modeling teams as input model driver data.*Measured fluxes of net ecosystem exchange (NEE) and derived gross primary productivity (GPP) and respiration (R) and respective calculated uncertainty estimates are provided for each tower site at the native time resolution of the observations (30 or 60-minute) as well as the diurnal, seasonal, and annual time scales. The data were gap-filled following a standard protocol. Components of uncertainty include uncertainties resulting from turbulence, gap-filling, flux partitioning, and u* threshold determination. Flux observations and uncertainty data were used to assess how well models simulated carbon processes.*Remotely sensed NDVI, LAI, and fPAR phenology data were derived from the GIMMS version g NDVI data set for each flux tower site. Phenology data were used by some modeling teams as input model driver data.*Ancillary data and information describe tower location and physical characteristics, disturbance history, and biological and ecological attributes of the vegetation, litter, and soil. These ancillary data were used by modeling teams as input model driver data.The data files are in both ASCII text and NetCDF formats (ALMA standard). The compilation of these data was facilitated by the NACP Modeling and Synthesis Thematic Data Center (MAST-DC). ",
"license": "proprietary"
},
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"description": "This data set contains measurements and estimates of leaf, tree, and soil data from six projects conducted by the Terrestrial Ecosystem Research and Regional Analysis- Pacific Northwest (TERRA-PNW) research group between 1999 and 2014 across forests in Oregon and Northern California. Included are standardized, integrated measurements and estimates of specific leaf area, leaf longevity, leaf carbon and nitrogen for 35 tree and shrub species derived from more than 1,200 branch samples collected from over 200 forest plots, including several AmeriFlux sites. Plot-level measurements of forest composition, structure (e.g. tree biomass), and productivity estimates, as well as measurements of soil structure (e.g. bulk density) and chemistry (e.g. carbon) are also included.",
"license": "proprietary"
},
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"description": "This dataset provides spatial data products with identified and organized locations of potential methane (CH4) emitting facilities and infrastructure spanning the State of California. These data products form a GIS-based mapping database designed to address shortcomings in current CH4 source inventories and is known as Vista California (Vista-CA). Vista-CA consists of detailed spatial maps for facilities and infrastructure in California that are known or expected sources of CH4 emissions and illustrates the spatial distribution of potential CH4 sources. Vista-CA spatial data sets were created utilizing an assortment of publicly available data sources from local, state, and federal agencies for the years 2005 to 2019. The final Vista-CA database contains over 230,000 entries, which are presented as fifteen CH4 emitting infrastructure maps. The database was used to support flight planning and source attribution for the California Methane Survey project.",
"license": "proprietary"
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"description": "This data set provides spatial data products with identified and classified locations of potential methane (CH4) emitting facilities and infrastructure in the South Coast Air Basin (SoCAB). These data products form a GIS-based mapping database designed to address shortcomings in current urban CH4 source inventories and is known as Vista Los Angeles (Vista-LA). SoCAB is the air shed for the greater Los Angeles urban area, which includes urbanized portions of the Los Angeles, Orange, Riverside, and San Bernardino Counties, California, USA. Vista-LA consists of detailed spatial maps for facilities and infrastructure in the SoCAB that are known or expected sources of CH4 emissions and illustrates the spatial distribution of potential CH4 sources, representing a first step towards developing an urban-scale CH4 emissions gridded inventory for the SoCAB. Vista-LA spatial data sets were created utilizing an assortment of publicly available data sources from local, state, and federal agencies for the years 2012 to 2017. The final Vista-LA database contains over 33,000 entries, which are presented as thirteen CH4 emitting infrastructure maps.",
"license": "proprietary"
},
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"description": "The data set provides a 30-m comprehensive fuelbed characteristics map for both the wildland and cropland areas of the conterminous United States (CONUS) for 2010. This integrated product is the result of combining the spatially discrete Fuel Characteristic Classification System (FCCS) data of the US Forest Service (USFS) with the crop-and grassland-specific information of the US Department of Agricultures (USDA's) Cropland Data Layer (CDL). By combining the spatially discrete details of the FCCS data set with the crop-and grassland-specific information of the CDL, a more robust map of fuelbed characteristics is available. The merged product has an advantage over the original FCCS map for estimating emissions from burned areas due to the integration of the fuelbed characteristics for agricultural areas from the CDL.There are three GeoTIFF format files and three comma-separated companion files distributed with this data set. The three tif files provided are very large and exceed the size limits of a standard GeoTIFF file format (4 GB). File sizes range from 20 to 30 GB. Compressed file sizes range from 2 to 3 GB. They are in a format that is called a BigTIFF file. ArcGIS 10.0 and ERDAS Imagine are able to read these files.",
"license": "proprietary"
},
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"license": "proprietary"
},
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"description": "Characterizing the cause of forest canopy changes through time is fundamental to understanding current and future forest functions. A better understanding of forest dynamics can help build linkages between patterns and processes. The North American Forest Dynamics (NAFD) products provided in this dataset predict characteristics related to the cause of forest canopy cover losses for the conterminous United States (CONUS) derived from Landsat images for the period 1986-2010. The characteristics are summarized in four separate data layers. The first layer labels the type of change event (stable-no change, removals, fire, stress, wind, conversion, other), the second labels the year of the event, the third and fourth layers measure dominance and diversity, measures of qualitative confidence metrics derived from the model predictions. For each pixel the maps depict the greatest magnitude event occurring between 1986-2010.",
"license": "proprietary"
},
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"description": "The North American Forest Dynamics (NAFD) products provided in this data set consist of 25 annual and two time-integrated forest disturbance maps for the conterminous United States (CONUS) derived from Landsat images for the period 1986-2010. Each annual map has classified pixels showing water, no forest cover, forest cover, no data available (data gaps) in present year, and forest disturbances that occurred in that year. The time-integrated maps are similarly classified, but over the entire 1986-2010 period with the first and last forest disturbance years identified and provided as separate maps.",
"license": "proprietary"
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"description": "This data set provides the results of time-series analyses of Landsat imagery for 55 selected forested sites across the conterminous U.S.A. The output is a pair of disturbance data products for each site, one showing the first year of disturbance in the time series, the other showing the last year of disturbance. Each data pixel is labeled as either a static land class (persistent non-forest, persistent forest, or persistent water) or with the year of change for disturbed forest pixels. The time period analyzed is approximately 1984-2009.These forest disturbance data are distributed as a single band GeoTiff, with appropriate projection information defined within the file. The analyses were performed in three phases: 5 sites during the Prototype/Focal phase; 23 sites in Phase I; and 27 sites in Phase II. The spatial resolution of the Prototype/Focal and Phase I data is 28.5 meters. The spatial resolution of the Phase II data is 30 meters. The temporal resolution is nominally biennial. The mapped area for each forested site is approximately 185 km x 185 km. There are a total of 110 GeoTiff files - a first year and a last year disturbance file for each of the 55 sites.",
"license": "proprietary"
},
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"description": "This dataset provides a presentation that highlights the role NASA research and researchers played in developing a wide range of significant, quantitative ecological applications of satellite data. The presentation by Dr Diane E. Wickland, former NASA Terrestrial Ecology Program Manager and Lead for NASA Carbon Cycle and Ecosystems Focus Area, provides a top-level overview from her perspective of the development and evolution of the program. Dr Wickland joined NASA in 1985 to manage a newly formed Terrestrial Ecosystems Program. Along with other NASA program managers, she was charged with reorienting the program to be less empirical and have a greater focus on first principles, and to prepare for a next generation of earth-observing satellites. As an ecologist, she thought that focusing on important ecological questions and recruiting practicing ecologists to the program would facilitate such a change in directions. The presentation emphasizes the early years of U.S. satellite remote sensing and covers a few highlights after 2005.",
"license": "proprietary"
},
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"description": "This NASMo-TiAM (North America Soil Moisture Dataset Derived from Time-Specific Adaptable Machine Learning Models) dataset holds gridded estimates of surface soil moisture (0-5 cm depth) at a spatial resolution of 250 meters over 16-day intervals from mid-2002 to December 2020 for North America. The model employed Random Forests to downscale coarse-resolution soil moisture estimates (0.25 deg) from the European Space Agency Climate Change Initiative (ESA CCI) based on their correlation with a set of static (terrain parameters, bulk density) and dynamic covariates (Normalized Difference Vegetation Index, land surface temperature). NASMo-TiAM 250m predictions were evaluated through cross-validation with ESA CCI reference data and independent ground-truth validation using North American Soil Moisture Database (NASMD) records. The data are provided in cloud optimized GeoTIFF format.",
"license": "proprietary"
},
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"description": "This data set provides MODIS-derived surface biophysical climatologies of bidirectional distribution function (BRDF), BDRF/albedo, land surface temperature (LST), leaf area index (LAI), and evapotranspiration (ET) as separate files for each of the MODIS land cover types, and four radiative forcing data files for four scenarios of potential vegetation shifts in North America. Each biophysical variable has temporal periods that represent the average of all 8-day periods from the years 2000-2012. The data have a spatial resolution of 0.05 degree (~5 km) and a temporal resolution of eight days. Additionally, a file containing diffuse fraction of surface downward solar radiation (DiffuseFraction) at a monthly scale, and a file containing snow water equivalent (SWE) are provided. The extent of the data covers the land area of North America, from 20 to 60 degrees N. The land-cover map used was synthesized from nine yearly 500-m MODIS land-cover layers (MCD12 Q1 Collection 5) for 2001-2008. These high-resolution land data were originally developed for quantifying biophysical forcing from land-use changes associated with forestry activities, such as radiative forcing from altered surface albedo. ",
"license": "proprietary"
},
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"description": "This data set provides forest age map products at 1-km resolution for Canada and the United States (U.S.A.). These continental forest age maps were compiled from forest inventory data, historical fire data, optical satellite data, and the images from the NASA Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) project. These input data products have various sources and creation dates as described in the source paper by Pan et al. (2011). Canadian maps were produced with data available through 2004 and U.S.A. maps with data available through 2006. A supplementary map of the standard deviations for age estimates was developed for quantifying uncertainty.Note that the Pan et al. (2011) paper is included as a companion file with this data set and was the source of descriptions in the guide.Forest age, implicitly reflecting the past disturbance legacy, is a simple and direct surrogate for the time since disturbance and may be used in various forest carbon analyses that concern the impact of disturbances. By combining geographic information about forest age with estimated carbon dynamics by forest type, it is possible to conduct a simple but powerful analysis of the net CO2 uptake by forests, and the potential for increasing (or decreasing) this rate as a result of direct human intervention in the disturbance/age status.",
"license": "proprietary"
},
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"description": "The NBCD 2000 (National Biomass and Carbon Dataset for the Year 2000) data set provides a high-resolution (30 m) map of year-2000 baseline estimates of basal area-weighted canopy height, aboveground live dry biomass, and standing carbon stock for the conterminous United States. This data set distributes, for each of 66 map zones, a set of six raster files in GeoTIFF format. There is a detailed README companion file for each map zone. There is also an ArcGIS shapefile (mapping_zone_shapefile.shp) with the boundaries of all the map zones. A mosaic image of biomass at 240 m resolution for the whole conterminous U.S. is also included.Please read this important note regarding the differences of Version 2 from Version 1 of the NBCD 2000 data. With Version 1, in some mapping zones, certain land cover types (in particular Shrubs, NLCD Type 52) were missing from and unaccounted for in modeled estimates because of a lack of reference data. In Version 1, when landcover types were missing in the models, the model for the deciduous tree cover type was applied. While more woody vegetation was mapped, the authors think this had little effect on model performance as in most cases NLCD version 1 cover type was not a strong predictor of modeled estimates (See companion Mapping Zone Readme files). In Version 2, after renewed modeling efforts and user feedback, these previously unaccounted for cover types are now included in modeled estimates.All 66 mapping zones were updated with the previously unmapped land cover types now mapped. The authors recommend use of the new version for all analyses and will only support the updated version.Development of the data set used an empirical modeling approach that combined USDA Forest Service Forest Inventory and Analysis (FIA) data with high-resolution InSAR data acquired from the 2000 Shuttle Radar Topography Mission (SRTM) and optical remote sensing data acquired from the Landsat ETM+ sensor. Three-season Landsat ETM+ data were systematically compiled by the Multi-Resolution Land Characteristics Consortium (MRLC) between 1999 and 2002 for the entire U.S. and were the foundation for development of both the USGS National Land Cover Dataset 2001 (NLCD 2001) and the Landscape Fire and Resource Management Planning Tools Project (LANDFIRE). Products from both the NLCD 2001 (landcover and canopy density) and LANDFIRE (existing vegetation type) projects as well as topographic information from the USGS National Elevation Dataset (NED) were used within the NBCD 2000 project as spatial predictor layers for canopy height and biomass estimation. Forest survey data provided by the USDA Forest Service FIA program were made available to the project under a national Memorandum of Understanding. The response variables (canopy height and biomass) used in model development and validation were derived from the FIA database (FIADB). Production of the NLCD 2001 and LANDFIRE projects was based on a mapping zone approach in which the conterminous U.S. was split into 66 ecoregionally distinct mapping zones. This mapping zone approach was also adopted by the NBCD 2000 project. ",
"license": "proprietary"
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"description": "This data set provides classified land cover transition images (maps) derived from Landsat Thematic Mapper (TM) and Multispectral Scanner (MSS) imagery for Ariquemes, Luiza, and Ji-Paranao areas in Rondonia, Brazil, at 30-m resolution. Images depict the age relative to the year 2000, of cleared land from the date the land was cut, to the date when primary forests transitioned into nonforest class (for example, 25 = cut by 1975, or 25 years before the year 2000). Temporal changes in three regions are represented by 31 TM scenes acquired between 1984 and 1999, and a pair of MSS scenes from 1975 and 1978. Data are provided as three GeoTiff (*.tif) images, one for each of the three areas. ",
"license": "proprietary"
},
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"description": "This data set provides a 27-year land cover time series of 28.5-m resolution products derived from Landsat images for 80% of Rondonia, Brazil, for the period 1984 to 2010. Selected Landsat Thematic Mapper (TM) and Landsat Multispectral Scanner (MSS) images from the years 1984 through 2010, for seven path/row scenes (PortoVelho, Ariquemes, Jiparana, Luiza (or Urupa), Cacoal, Chapuingaia, and Vilhena) were mosaicked for each year. Each mosaicked image was georectified and classified into seven land-cover classes--savanna/rock, pasture, secondary forest, primary forest, cloud, urban, or water. This 27-year time series allows the long-term assessment of land-cover variation across the state. There are 27 GeoTIFF image files (.tif) and one accompanying .xml file for each GeoTIFF file, compressed and available as *.zip files, one file for each year for the period 1984-2010, with this data set.",
"license": "proprietary"
},
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"description": "This data set provides a time series of land cover classifications for Ariquemes, Ji-Parana, and Luiza, research sites in Rondonia, Brazil. The land cover classifications are derived from the Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper Plus (ETM+) sensors. The time period ranges from June 1975 through June 2000, but all areas do not have images for all the years. The images were classified into the following categories: 1. Primary upland forest, representing the dominant natural vegetation in the area; 2. Pasture and green pasture; 3. Second growth, dominated by small trees and shrubs with low species diversity and biomass relative to primary forest; 4. Soil/urban; 5. Rock/savanna; 6. Water; and 7. Cloud and smoke obscured. In addition, areas covered by rock and savanna were mapped and all areas outside of the overlap zone between all dates within a scene, and scene edges, were masked.There are 75 GeoTIFF files (.tif) with this data set which includes: classified images (*ful.tif) and a corresponding image mask (*ful_mask .tif) for each date (with the exception of 1978 and 1996 images for Ji-Parana, for which there are only ful_mask.tif files), and three mask files for rock, savannah, and scene edges, for each area. By area, there are 31 images for Ariquemes, 23 images for Ji-Parana, and 21 images for Luiza. ",
"license": "proprietary"
},
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"description": "This data set provides soil physical and chemical properties, and grass nutrient measurements of samples collected from 17 pasture sites located within the state of Rondonia in the southwestern Brazilian Amazon. Soil data includes bulk density, class, texture, and measurements of carbon (C), phosphorus (P), calcium (Ca), magnesium (mg), and potassium (K) concentrations. Foliar data includes nitrogen (N), P, Ca, Mg, and K concentrations.The 17 pasture sites were cattle ranches selected within the region between Porto Velho and Presidente Medici of Rondonia. Four of the ranches with Ultisols support dairy cattle, and the rest have beef cattle pastures dispersed across three soil orders: Oxisols, Ultisols, and Alfisols. Nearby primary forest sites were also sampled to provide data on the original soil properties for each soil order. Soil samples were collected in May 2003, July through August 2003, and May 2004, which covered the late rainy season (May) and the dry season (July through August). Grass species sampled included Brachiaria brizantha, Brachiaria decumbens, B. brizantha, and Pennestum clandestinum, and represented three phenologically distinct grass materials: wet-season live grass, collected in May 2004, dry-season live grass and dry-season senesced grass, both collected between the end of July and the beginning of August 2003. There are 4 comma-delimited data files with this data set.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781400518-ORNL_CLOUD.html",
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"description": "This data set provides the results of spectral reflectance (350 to 2,500 nm at 1-nm increments) and biophysical measurements on grass pastures in eight cattle ranches in the state of Rondonia, located in the southwestern Brazilian Amazon. The ranches are located near the cities of Porto Velho, Ariquemes, Ouro Preto, Ji-Parana, and Presidente Medici. Field measurements were collected in July and August 2003. The primary grass species sampled were Brachiaria brizantha and Brachiaria decumbens. Spectrometer measurements were taken at 5-m intervals along 100 m transects on the pastures - fourteen total transects. Vegetation was sampled at 20-m intervals along the transects. All standing biomass and litter on the soil surface were collected and separated into live and senesced biomass and then dried to calculate water content. Sixty-eight reflectance spectra coincided with grass biophysical samples.Note that the research was done on private lands in Rondonia, and to protect the privacy of those land owners no geographic information is associated with the reported measurements. Three data files are included: an ENVI spectral library file with reflectance data for 484 pasture sampling points, an ASCII comma-separated file with reflectance data for the 484 pasture sampling points, and an ASCII comma-separated file with the biophysical measurements.",
"license": "proprietary"
},
@@ -139615,7 +140447,7 @@
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"description": "This data set provides a time series of Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper Plus (ETM+) scenes for five (Path/Row) areas in Rondonia, Brazil. The scenes are from the period June 1975 through June 2000, but all areas do not have scenes for all the years. The areas and Landsat Path/Rows included are as follows: Ariquemes (P232,R67), Ji-Parana (P231, R67), Luiza (P231, R68), Cacoal (P230, R68), and Porto Velho (P232, R66). TM images are available for all five areas. Because of a paucity of digital Landsat MSS imagery from the 1970s, only two scenes could be included, a 1975 scene from Ariquemes and a 1978 scene from Ji-Parana. Each of the Landsat scenes has been coregistered to a Path/Row-specific georectified PRODES Landsat file obtained from the Brazilian Government's National Institute for Space Research (INPE) program. For each scene, the coregistration is accurate to within (plus or minus)1 pixel (30-m Landsat resolution) in most places. The five INPE PRODES Landsat scenes used in the georectification process are included with this data set. There are five compressed files (tar.gz format) with this data set. When expanded, each compressed file (which corresponds to one of the five areas) contains a directory for each scene with GeoTIFF files for individual Landsat bands, a text file of tie points, and another text file of slope and intercept values for converting radiance to reflectance. There are two dates for Landsat MSS scenes, 45 dates for TM scenes, and six dates for ETM+ scenes.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781581040-ORNL_CLOUD.html",
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"description": "This data set provides fractional land cover type images for shade, green vegetation (GV), non-photosynthetic vegetation (NPV), and soil for the regions of JiParana, PortoVelho, Luiza, Ariquemes, and Cacoal in the state of Rondonia, Brazil, for the period 1984 to 2000. The images were derived with a spectral mixture analysis (SMA) of Landsat Thematic Mapper (TM) time series scenes for each of these areas. There were 249 TM scenes and one Landsat Multispectral Scanner (MSS) scene acquired for these analyses. The images are 30-m Landsat resolution and were georectified to the Brazilian space agency 1998 and 1999 PRODES imagery. There are 250 GeoTIIF image files (*.tif) in this data set. Files are grouped by region and year/month/day scene was taken. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780920003-ORNL_CLOUD.html",
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"description": "This data set provides the results of (1) synoptic streamwater sampling and analyses from numerous sites across Rondonia and (2) corresponding watershed characteristics derived from remote sensing and historical/available data sources. Sixty streams, in both forested and non-forested sites, were sampled once during the dry season in August of 1998 and 49 of the same streams were sampled again during the wet season in January-February of 1999. Analyses included sodium (Na), calcium (Ca), magnesium (Mg), potassium (K), silica (Si), chloride (Cl), sulfate, pH, and acid neutralizing capacity. Watershed characteristics, including soil cation content, pH, watershed lithology, area, percent deforested, and urban watershed population density, were derived and calculated from digitized soil maps and available soil profile analyses, digitized topographic maps, land use mosaics from Landsat Thematic Mapper (TM) images, and Brazilian census data. The objective of the study was to determine the relative influence of watershed soil exchangeable cation content, rock type, deforestation, and urban population density on stream concentrations of base cations, dissolved silicon, chloride and sulfate in both the dry and wet seasons in a humid tropical region undergoing regional land use transformation. There are three comma-delimited data files with this data set.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781406353-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781406353-ORNL_CLOUD.html",
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"description": "This data set provides estimates of watershed deforestation, as a proportion of the total area of watersheds, in Rondonia, Brazil for 1999. Deforestation maps were determined for the main agricultural and surrounding forested areas of Rondonia using multiple Landsat TM scenes (Biggs et al. 2008). Cumulative deforestation estimates were derived from this time series of Landsat scenes from 1975 to 1999. To obtain watershed-level estimates of deforestation, watershed boundaries and stream networks were delineated by a flow accumulation algorithm using a 90-m resolution digital elevation model (DEM) from NASA's Shuttle Radar Topography Mission (SRTM). The results were watersheds of seven Strahler stream orders (1-7) with stream networks that closely matched those of the 1:100,000 topographic maps for the area. The watershed boundaries, classified by stream order, were overlain on the time series of deforestation maps to determine the cumulative deforestation extent in 1999. This data set contains six ESRI ArcGIS shapefiles of the watershed boundaries for streams orders 2-7, the smallest watershed (second order) to the largest inclusive watershed (seventh order). The cumulative deforestation estimates, as a proportion of total area for each watershed, are available as a comma-delimited text file that can be related to the individual watershed boundary shapefiles. Cumulative deforestation data are available for first order streams, although not as a shapefile. There are six zipped ESRI ArcGIS shapefiles (*.zip) and one ASCII comma separated file with this data set.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777783116-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777783116-ORNL_CLOUD.html",
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"description": "This data set contains soil emissions of nitric oxide (NO), carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4) measured in plots of a secondary-growth forest fertilization experiment located 6.5-km northwest of the town of Paragominas, Para, Brazil during 1999-2001. Control, pre-, and post-treatment plot trace gas emission results are reported in a single comma-separated file.A highly degraded former pasture with secondary-growth forest (capoeira -- fallow vegetation) at Fazenda Vitoria, 6.5-km northwest of the town of Paragominas, Para, was chosen for this fertilization experiment. Twelve 20m x 20m plots were established: three were fertilized with nitrogen (only), three were fertilized with phosphorus (only), and three were fertilized with both nitrogen and phosphorus. The remaining three plots served as the control for these treatments. Application of the fertilizers occurred Jan 19, 2000 and February 2001, at the beginning of the rainy season. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781403604-ORNL_CLOUD.html",
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"description": "This data set provides Landsat images of the county of Sao Francisco do Para located in the Bragantina region of Para, Brazil, the oldest agriculture frontier in Amazonia. These images are subsets for the municipio (county) and immediate region. There are seven GeoTIFF files (.tif) with this data set which includes two for July 24, 1984 multispectral scanner (MSS), one for June 21, 1994 thematic mapper Landsat 5 (TM5), three for July 13, 1999 thematic mapper Landsat 7 (TM7), and one TM for June 21, 1994.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777777771-ORNL_CLOUD.html",
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"description": "This data set reports the results of a study to measure soil emissions of the carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), and nitric oxide (NO) throughout an entire cropping cycle in (1) slash-and-burn and (2) chop-and-mulch prepared agricultural fields from 2001-2004. An adjacent 15-year-old fallow field with secondary forest vegetation served as the control. The study site is within the municipality of Igarape Acu, Para, Brazil, at the Experimental Farm of the Federal Rural University of Amazonia. Flux data are reported in one comma-separated file.",
"license": "proprietary"
},
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"description": "This data set reports biomass from small stems and non-woody vegetation measured from 1999 to 2005 in plots of a secondary-growth forest fertilization experiment. The study location was Fazenda Vitoria, 6.5-km northwest of the town of Paragominas, Para, Brazil, in a 6-year old secondary-growth forest. Vegetation life-forms with diameters less than or equal to 2 cm (grasses, herbs, vines and dead material) were destructively sampled in November 1999, June 2000, June 2001, July 2003, July 2004, and July 2005. All data are provided in a single comma-separated file. The site was divided into three blocks with four treatment plots (each 20m x 20m) located in each block (3 reps x 4 treatments = 12 plots). Three of the twelve plots were fertilized with nitrogen (100 kg N/ha as urea), three were fertilized with phosphorus (50 kg P/ha as superphosphate), three were fertilized with both nitrogen and phosphorus. The remaining three plots were not fertilized and served as the experimental control.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2779742781-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2779742781-ORNL_CLOUD.html",
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"description": "This data set reports monthly measured soil volumetric water content (VWC) from a rainfall exclusion experiment that was conducted from 1999-2001 at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002). There are two ASCII comma delimited files with measured VWC, one for the control plot and one for the rainfall exclusion plot.These measured values were used by the authors to develop a model of daily changes in the distribution of water through the soil layers. The simulated daily VWC values are also provided in the file with the measured VWC. For comparison, results of VWC simulation for the control and treatment plots using a STELLA model which incorporates rainfall and plant water uptake are provided. There are two ASCII comma delimited files of simulated results. See Belk et. al., 2007 for details.",
"license": "proprietary"
},
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"description": "This data set reports the results of a rainfall exclusion experiment in the Tapajos National Forest (Flona-Tapajos) at km 67 along the Santarem-Cuiaba BR-163 highway. From December 1999 through April 2005, following a one-year pre-treatment phase, rainfall was excluded from one of two 1-hectare plots of seasonally dry humid tropical forest. Soil emissions of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) were monitored in order to determine the likely effect of increasingly frequent El Nino drought episodes in the Amazon basin. Soil trace gas flux data are provided in one comma-separated data file.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780107886-ORNL_CLOUD.html",
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"description": "This data set provides a time series of calcium, magnesium, and potassium extracted from soil samples from a laboratory column extraction study conducted in 2002. Soils used in the columns were originally collected in 1998 in Fazenda Vitoria, a cattle ranch 6 km north of the town of Paragominas, Para, Brazil. The soils were from contrasting land uses of primary forest (mata), secondary forest (capoeira), or pasture (pasto). Water equilibrated with increasing concentrations of CO2 was used to extract cations from the soil columns. Data represent the time series of cation concentrations in the extract solutions as well as the total content of cations removed from the soils. There is one comma-delimited ASCII file with this data set.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780104163-ORNL_CLOUD.html",
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"description": "This data set reports soil CO2 flux and results of physical and chemical characterization of soils from pastures, secondary forests, and mature forests near Rio Branco, Acre, Brazil. CO2 flux measurements were made in the field on a monthly basis at 16 sites from June of 1999 to January 2001. In addition, litter was collected monthly from 2001-2002 at each of the mature forest sites and at 4 of the secondary forest sites, and mean litter mass is reported. Soil samples were collected and analyzed from several land cover types at two sites during this same time period. There are four comma-delimited ASCII data files with this data set.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777782798-ORNL_CLOUD.html",
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"description": "This data set reports the results of a study to quantify the effects of moisture and substrate availability on soil trace gas fluxes in a regrowth forest in Eastern Amazonia, Apeu, Para, Brazil, from 1999-2003. The efflux of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) from soil was measured as a response to (1) increased soil moisture availability during the dry season by irrigation and (2) decreased substrate availability by continuous removal of aboveground litter and compared to (3) untreated control plots. Soil gas fluxes are reported in one comma-separated data file.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780918831-ORNL_CLOUD.html",
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"description": "This data set reports soil carbon dioxide (CO2) and nitrous oxide (N2O) concentrations and soil volumetric water content (VWC) from a rainfall exclusion experiment that was conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. Samples were collected every two to three months. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002).Data provided are from December 9, 1999, and April 2, 2000-June 14, 2002. There is one comma-delimited data file with this data set. ",
"license": "proprietary"
},
@@ -139797,7 +140629,7 @@
"bbox": "-55, -2.75, -55, -2.75",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784836843-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784836843-ORNL_CLOUD.html",
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"description": "This data set reports field estimated saturated hydraulic conductivity measurements from June 12 through June 20, 2001. This study was part of a rainfall exclusion experiment that was conducted from 1999-2001 at the km 67 Seca Floresta site, Tapajos National Forest, Para, Brazil. The objective of this component of the study was to develop an understanding of the physical processes driving the observed soil water dynamics at the site. There is one comma-delimited ASCII data file with this data set.",
"license": "proprietary"
},
@@ -139810,7 +140642,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777778341-ORNL_CLOUD.html",
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"description": "This data set provides tree diameters and heights measured from 1999 to 2005 in plots of a secondary-growth forest fertilization experiment located 6.5-km northwest of the town of Paragominas, Para, Brazil. In the 6-year old secondary-growth forest, all trees greater than 2 cm diameter at breast height (DBH) were tagged, identified, and measured for diameter and height in November 1999. Fertilizer was applied to selected plots in January 2000 and February 2001. Tree heights and diameters were remeasured in May 2000, June 2001, July 2002, July 2004, and July 2005. All data are provided in a single comma-separated file.The site was divided into three blocks, with four treatment plots (each 20m x 20m) located in each block (3 reps x 4 treatments = 12 plots). Three of the twelve plots were fertilized with nitrogen (100 kg N/ha as urea); three were fertilized with phosphorus (50 kg P/ha as superphosphate); three were fertilized with both nitrogen and phosphorus. The remaining three plots were not fertilized and served as the experimental control..",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784836379-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784836379-ORNL_CLOUD.html",
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"description": "This data set includes measurements of dissolved nutrient and organic carbon concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, pH, and discharge from three streams located in mixed land use (crop fields, pastures, secondary vegetation, and forest) and two streams in entirely forested landscapes near Paragominas in the state of Para, Brazil. Stream water samples were collected during two different periods: 1) weekly from August 1999 to July 2001 at location Igarape 54, Station 5 and 2) monthly from April 2003 through October 2005 at all of the stations. The exact start date and suite of measurements vary by location. In addition, samples from precipitation collectors at the Paragominas Meteorological Station were measured for nutrient concentrations every two weeks from 1999 to 2001. There are two comma delimited ASCII data files with this data set.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780108110-ORNL_CLOUD.html",
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"description": "This data set consists of water chemistry data from streams, wells, rainwater, and canopy throughfall samples. The field measurements were carried out at Rancho Grande in the Brazilian state of Rondonia, in the southwestern Brazilian Amazon basin, at two adjacent watersheds, a forest (1.37 ha), and pasture (0.73 ha). Samples were collected during one entire rainy season starting in August 2004 and ending in April 2005. There is one comma-delimited data file with this data set.Ridge, Tennessee, U.S.A.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780901460-ORNL_CLOUD.html",
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"description": "This data set provides the results of (1) the physical and chemical characterization of streams and (2) comparable chemical analyses of extracted soil water in the Aldeia River basin at Fazenda Nova Vida, a large cattle ranch 50 km from the city of Ariquemes, in central Rondonia, Brazil, from 1994-2001. Data are provided on the stream beds including cross-sectional depth and stream bed surface type. Stream discharge is reported. Streamwater was sampled and analyzed periodically over the eight year duration of the study at numerous steam locations. Soil solution samples were collected at the same frequency with lysimeters placed at 30 cm and 100 cm depths on the floodplain and at upland forest and pasture sites in the Aldeia River watershed. There are five comma-delimited data files in this data set. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804827524-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804827524-ORNL_CLOUD.html",
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"description": "This data set reports the carbon and nutrient stocks of above-ground vegetation and soil pools at three locations where post-pasture secondary forest recovery ranged from 0 to 14 years since abandonment. These sites are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53) and Fazenda Dimona (km 72). From September 2000 to July 2001, measurements were obtained for aboveground biomass (cite ND-04 Sec For Recovery), foliage and wood samples were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations, and soil samples from 0 to 45 cm depth were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations. Total carbon (C) and nutrient stocks were calculated for various vegetation and soil pools to gain an understanding of the dynamics of nutrient and C buildup in regenerating secondary forests in central Amazonia (Feldpausch et al., 2004). There are 2 comma-delimited ASCII data files with this data set.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804826978-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804826978-ORNL_CLOUD.html",
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"description": "This data set reports measurements of the canopy and structure of secondary forests regenerating from abandoned pastures. These secondary forests are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53), and Fazenda Dimona (km 72). Ten secondary forest study sites were selected within the three fazendas where post-pasture forest recovery ranged from 0 to 14 years since abandonment.From 2000-2001 estimates of leaf area index (LAI) and canopy cover were derived from hemispherical canopy digital photographs, and estimates of aboveground biomass and basal area were derived utilizing allometric equations from diameter at breast height (DBH) measurements. Estimates were classified by growth-form and diameter class. See Feldpausch et al. (2005) for more information. There are four comma-delimited data files with this data set and one companion file with information regarding the allometric equations relating diameter at breast height (for dbh > 5 cm) to dry weight for biomass calculations. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781618453-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781618453-ORNL_CLOUD.html",
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"description": "This data set contains soil water measurements to a depth of 3 meters for the years 1999, 2000, and 2001, and total monthly precipitation data for 1999-2000. The data were collected from a pasture site located at the Embrapa Pasture Research Site, a former cattle research station 54 km north of Manaus on the highway BR 174 Manaus-Boa Vista, Brazil. There are three comma-separated data files (.csv) with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: There is no associated research documentation and the units were not provided with the data. ",
"license": "proprietary"
},
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"description": "This data set reports the results of a comprehensive study of mound building termites at the Embrapa research station in the Distrito Agropecuario da SUFRAMA, located at km 53 of the federal highway BR 174 outside Manaus, Amazonas, Brazil. Study areas included a primary forest site, an adjacent 7-8 year old secondary forest site, and two abandoned pasture sites which were being used for agroforest purposes.Reported are (1) the termite species occurrence and areal abundance of mounds, (2) characterization of the mound soil microbiological community, root biomass, seedling emergence success, soil respiration, nitrogen mineralization, and (3) the characterization of the termite mound soil physical, chemical, and hydraulic properties. Analyses were also performed on samples from adjacent control soils for comparison. This data set contains 15 comma-delimited data files.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780960821-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780960821-ORNL_CLOUD.html",
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"description": "This data set provides measurements of soil properties compiled from 39 studies on nutrient dynamics in natural forests and forest-derived land uses (pasture, shifting cultivation and tree plantations) conducted in Amazonia over the period of 1950-2001. The initial literature survey for the data consisted of more than 100 studies conducted during this period.The objectives of this project were to compare soil data from major land uses across Amazonia and identify gaps in present knowledge that offer direction for future research. Five widely cited hypotheses were tested concerning the effects of land-use change on soil properties by analyzing data compiled from 39 studies in multi-factorial ANOVA models:-- effective cation exchange capacity (ECEC), and exchangeable calcium (Ca) concentrations rise and remain elevated following the slash-and-burn conversion of forest to pasture or crop fields soil contents of total carbon (C), nitrogen (N), and inorganic readily (i.e., Bray, Mehlich I or resin) extractable phosphorus (Pi) decline following forest-to-pasture conversion-- soil concentrations of total C, N, and Pi increase in secondary forests with time since abandonment from agricultural activities-- soil nutrient conditions under all tree-dominated land-use systems (natural or not) remain the same-- higher efficiencies of nutrient utilization occur where soil nutrient pools are lower There is one comma-delimited ASCII file (.csv) with this data set and a list of the 39 studies used in this data set provided as a companion file in text format.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780940083-ORNL_CLOUD.html",
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"description": "This data set provides (1) delta 15N ratios and nitrogen concentrations for foliar samples and (2) delta 13C and delta 15N ratios as well as carbon and nitrogen concentrations for soil samples collected from cerrado sites within the Ecological Reserve of the Brazilian Institute of Geography and Statistic (IBGE), Brasilia, Brazil. Foliar samples, collected from 320 individuals representing 45 woody tree and shrub species, and soil samples were collected from 5 cerrado locations (2 in campo sujo, 2 in cerrado denso and 1 in cerrado). Soil samples were collected to 450 cm depth in the campo sujo and 800 cm depth elsewhere. Samples were collected during the period December 1999 to September 2000. Eiten (1972) described campo sujo as an open savanna with scattered trees and shrubs, cerrado sensu stricto as a savanna woodland with abundant evergreen and deciduous trees and shrubs and an herbaceous understory, and cerrado denso as medium to tall woodlands with closed or semiclosed canopies (Bustamante et al., 2004).There are two comma-delimited data files with this data set.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780948560-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780948560-ORNL_CLOUD.html",
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"description": "This data set reports the results of soil nitric oxide (NO) flux, soil moisture, and soil nitrate (NO3) and ammonium (NH4) concentration measurements on Cerrado soils receiving nitrogen fertilization. Measurements and samples were collected from control and fertillized experimental plots on Cerrado soils within the Ecological Reserve of the Brazilian Institute of Geography and Statistic (IBGE), Brasilia, Brazil. Sampling dates were from March 26, 2004 to November 25, 2004. The soils had received nitrogen and phosphorus fertilization treatments which began in 1998. The objective of this project was to determine the long-term effects of nutrient addition (N and N+P) in native Cerrado area on N oxide fluxes from soil to the atmosphere. There is one comma delimited (.csv) ASCII file with this data set.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784835087-ORNL_CLOUD.html",
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"description": "This data set reports the microbial biomass in soil samples collected from the Cerrado, a woodlands-savannah area, in Brasilia, Brazil. Microbial biomass was determined as the total concentration of phospholipid fatty acids (PLFAs). Soil samples (0-5 cm) were collected from June, 2000 to June, 2001 in two native areas of Cerrado that were subjected to a range of fire regimes. Two plots were protected from fire since 1973, another two plots were subjected to prescribed fires every two years since 1992, and a fifth plot was in a 20 year-old active pasture (Brachiaria brizantha). The analyses were conducted to determine the effects of fire regimes and changes in vegetation cover on the microbial communities of Cerrada soils. There is one comma-separated ASCII data file with this data set. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777842574-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777842574-ORNL_CLOUD.html",
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"description": "This data set reports on dissolved nutrient concentrations, as well as dissolved oxygen, alkalinity, conductivity, turbidity, and pH measured in water samples collected from nine streams located in the state of Brasilia, Brazil, between September, 2004 and December, 2006. Streams were located in different land cover types including natural (forest), rural (agricultural), and developed landscapes. In addition, water samples from wells, lysimeters, surface runoff, and precipitation were collected from four sites, 2 natural and 2 rural, and analyzed for nutrient concentrations. Streams were sampled every 2-4 weeks; rain water was collected approximately monthly during the wet season and once during a dry season; wells and lysimeters were sampled monthly; and surface runoff collections were event based. There are three comma-delimited data files with this data set.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777841094-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777841094-ORNL_CLOUD.html",
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"description": "This data set reports on soil-atmosphere fluxes of trace carbon dioxide, carbon monoxide, nitrous oxide, and nitric oxide (CO2, CO, N2O, NO) under various natural and manipulated land use conditions. The studies were conducted near Brasilia, Brazil in pastures and agricultural areas under a variety of management regimes and in more natural areas of cerrado (20-50% canopy cover) and campo sujo (open, grass-dominated), which were either burned every 2 years or protected from fire. Results provide data and relationships needed for regional trace gas models. There are nine comma-separated ASCII data files with this data set.",
"license": "proprietary"
},
@@ -139992,7 +140824,7 @@
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"description": "This data set reports the concentrations of the nutrients nitrogen (N), phosphorus (P), magnesium (Mg), calcium (Ca), and potassium (K) in roots, litterfall, leaves, and twigs, biomass of fine roots and litterfall, and the decomposition of leaves and twigs in samples that were collected on the property of Jari Celulose, Monte Dourado, Para, Brazil, from 1999-2001.Samples were collected from two study sites, a eucalyptus plantation and an adjacent primary forest, during both rainy and dry seasons. Roots were sampled from three depths (0-15 cm, 35-50 cm, and 85-100 cm).There are five comma-delimited data files with this data set.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.KNOWN PROBLEMS: The data files do not identify the year in which samples were collected. The methods for nutrient, decomposition, and biomass sampling and analyses were not provided. The data file descriptions indicate that samples were collected from two soil types (sandy and clay) but there is no documentation of which data field provides that information. Also, there is no documentation for the Location or Block fields in the data files.",
"license": "proprietary"
},
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"description": "This data set provides (1) carbon (C) and nitrogen (N) concentration measurements of two soil aggregate fractions (250-2000 micon, small macro-aggregates (SMAG)), and (53-250 micron (micro-aggregates (mico)) and (2) in situ soil respiration measurements (January-March 2003) on sand and clay soils from a Eucalyptus plantation and an adjacent primary forest. The soils for fractionation were sampled in July 2001 from 0-20 cm and 30-50 cm depths. The research site was on the property of Jari Celulose, Monte Dourado, Para, Brazil. There are two files with this data set in comma-delimited (.csv) format.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781558603-ORNL_CLOUD.html",
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"description": "This data set provides the results of soil physical property and chemical measurements of samples collected from two pasture chronosequences (years since conversion from primary forest) located on two ranches south of Santarem, Para, Brazil, and east of the Tapajos River. Soil data includes soil classification, bulk density, texture, and mean concentrations of total nitrogen (N), carbon (C), phosphorus (P), and P fractions. The soils were high clay oxisols and highly sandy entisols.One chronosequence of sites was established on oxisol soils dating 2, 7, and 15 years since conversion from primary forest. A second set of sites, 1, 7, and 15 years old was established on the sandy entisols. Five of the six pasture sites were on a single ranch; the 2-year-old oxisol pasture was the exception. Ten soil samples per site were collected from 0-10 cm depth along random intervals within 100-m transects in August 1997.There are two comma-delimited (.csv) data files with this data set.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777410780-ORNL_CLOUD.html",
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"description": "This data set contains stream water exports of coarse particulate organic matter (CPOM) and coarse particulate organic carbon (CPOC) during 2003-2004 from four forested headwater streams near Juruena, Mato Grosso, Brazil (Selva et al. (2007) and Johnson et al. (2006) . Data are reported in a single comma-separated ASCII file as watershed exports in mass units, carbon content, and watershed exports per watershed area over the reported sampling intervals.Resolving the carbon balance in the Amazonian forest depends on an improved quantification of production and losses of particulate C from forested landscapes via stream export. The export of coarse organic particulate matter (>2 mm) was quantified for one year in four small watersheds (1-2 ha) under native forest in southern Amazonia near Juruena, Mato Grosso, Brazil. Stream-water exports of particulate C were positively correlated with stream flow, increasing in the rainiest months. The export of particulate C in stream flow was found to be a small (less than 1%) percentage of the amount of litterfall produced. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777814121-ORNL_CLOUD.html",
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"description": "Data were collected in the logging concession at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso. Estimates of damage associated with logging operations were made after logging operations were complete in 2003 and 2004. Damage associated with gaps created by felling single trees was estimated in 54 individual gaps. Characteristics of the single harvested tree were recorded and included species, DBH, commercial height, total height, and canopy proportions. Damage to all surrounding trees was recorded. Stratified transects in two logging blocks were used to estimate damage associated with road building and skid trails. Twenty-six transects were established in Block 5 and 21 transects in Block 18 to assess the frequency of damage by log skidders and tree felling. The boundaries between different types of damage were noted along the transect and the length in meters of that damage type along the transect was recorded. From this information, the area of the logging block affected by road building and skid trails was determined.The Gap Survey and the Logging Damage Transects Survey data are provided in comma-separated ASCII files. A third file provides the coordinates of the starting points for the Survey Transects. ",
"license": "proprietary"
},
@@ -140057,7 +140889,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784834826-ORNL_CLOUD.html",
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"description": "This data set contains the results of an experiment to determine litter decomposition and dynamics of carbon and nitrogen release from plant litter of differing qualities which occur in combination in agroforestry systems. Reported in five ASCII files are (1) the initial values of soil and plant litter macronutrients, nitrogen; and carbon contents; (2) descriptions of the various experimental treatments; and (3) the final nitrogen and carbon composition of the plant litter and soil and calculated releases from the litter.The study was conducted at the Empresa Brasileira de Pesquisa Agropecuaria-Centro da Pesquisa Agroflorestal (EMBRAPA-CPAA) experimental station located north of Manaus on the BR 174 highway in the central Amazon Basin. The experimental plot, located in an open grassy field, was selected based on low, homogeneous soil C and nutrient contents, minimal prior disturbance, and no previous fertilizer application. The soil was a degraded typic Hapludox with the following soil properties for the upper 0-3 cm: pH in water of 5.05, 1.3 mg N/g, 18.0 mg C/g (automatic CN Analyzer, Elementar), 2.05 mg P/kg, 55.0 mg K/kg (Mehlich-1 extractable), 11.7 mg Ca/kg, and 4.6 mg Mg/kg (KCl extractable). The experiment was conducted in the field in small plots with treatments that vary in the ratio of plant litter of two plants: gliricidia (Gliricidia sepium (Jacq.) Kunth. ex Walp.) and cupuacu (Theobroma grandiflorum). Soil and litter samples were collected prior to and during the experiment. Resin bags were used to retain mineral nitrogen released from the plant litter.",
"license": "proprietary"
},
@@ -140070,7 +140902,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777794683-ORNL_CLOUD.html",
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"description": "This data set reports the results of field surveys to determine: regeneration diversity and size distribution of plants in primary undisturbed forest; and regeneration diversity and size distribution of trees in a one hundred hectare block, six years after reduced impact logging treatment (vine removal) was applied in 1998. In addition, wood density and carbon concentrations in commercially harvested species are reported. All surveys were performed in 2003 and 2004 within block 5 of the logging concession at the Fazenda Rohsamar in the municipality of Jurena in northwestern Mato Grosso, Brazil. The data are reported in three comma separated files.",
"license": "proprietary"
},
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"description": "This data set reports the results of the analysis of soil samples for Nitrate (NO3) and physical properties that were collected for one year following reduced impact logging in logging concessions at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso. Sample locations were randomly selected from stratified regions of the 1,400 ha Block 5 to account for local scale soil variability. Soil samples were collected to 8-m depth in (1) nine gaps formed by single tree removal and (2) nine areas of undisturbed primary forest. Areas of undisturbed forest were confined to patches of forest within Block 5 that were protected from logging. An additional 3 forested areas were sampled to 3-m depth that contained high sand content. These results quantified the effects of reduced impact logging, to test whether nitrogen (N) loss from leaves and coarse woody debris under reduced impact logging results in a significant accumulation of subsoil nitrate (Feldpausch et al., 2009). One comma separated data file contains the soil moisture results and a second file the soil NO3 content and soil physical properties.",
"license": "proprietary"
},
@@ -140096,7 +140928,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777411496-ORNL_CLOUD.umm_json",
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"description": "The results of the analysis of soil chemical parameters, texture, and color are reported for 185 georeferenced soil profile sample points over four forested headwater catchments near Juruena, Mato Grosso, Brazil (Novaes Filho, et al., 2007a and Novaes Filho, et al., 2007b). Samples were collected from an approximately 20 x 20 m grid over each watershed from 2004/05/01 to 2004/08/18. By sampling each location at depths of 0-20 and 40-60 cm it was possible to distinguish and map the principle soil classes found in the study area to the 2nd category level of the Brazilian System of Soil Classification (Cooper et al., 2005) associated with the topographic relief. The data set contains one comma separated ASCII data file with spatially referenced soil nutrient and organic carbon data from 0-20 cm (A layer, topsoil) and 40-60 cm (B layer, subsoil)depths for the Juruena watersheds study area.A satisfactory relationship between the redness index of the diagnostic horizons and the soil class colors was also found. In spite of the apparent homogeneity of the visible landscape characteristics such as slope, soil color, and vegetation, the carbon and soil clay attributes were found to vary greatly. This variability over small distances demonstrates that extrapolation of soil characteristics and soil carbon stocks to larger areas could produce erroneous results if the spatial variability of the soil attributes is not taken into consideration.",
"license": "proprietary"
},
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"description": "This data set contains information that can be used to examine water fluxes in soils beneath tree crops in an Amazonian agroforest. The data consists of repeated measurements of soil matrix pressure and soil moisture content at several depths. The study was carried out at the Empresa Brasileira de Pesquisa Agropecuaria (Embrapa)-Amazonia Ocidental, 29 km North of Manaus, Brazil (3d 8m S, 59d 52m W, 40 - 50 m above sea level), in 1998 and 1999.Microaggregated tropical soils have shown high water conductivity even under unsaturated conditions in laboratory experiments. It is not clear, however, what depth the infiltrating soil water reaches during storm events under humid tropical conditions. Dynamics and fluxes of water were determined with high temporal resolution to a depth of 5 m in a Xanthic Hapludox of central Amazonia, Brazil. The soil water percolated to a depth of 0.9 m within 2 h of a rainfall event of 48 mm. Water fluxes were significantly slower below 0.9 m (17% of infiltration at 0 - 0.9 m) due to higher bulk densities. Percolation not only started rapidly after a rainfall event when soil water suction reached a certain threshold (ca. 20 - 30 hPa) but was also reduced to background levels less than 1 h after the rain had ended. The demonstrated extremely short-term dynamics of water fluxes have implications for measurement design of water availability and solute leaching in microaggregated tropical soil that require correct time integrals of solution concentrations and soil water dynamics. Measurement intervals of 30 min or less were necessary in our study. Rapid water flows may explain the observed high nutrient losses from the topsoil of microaggregated tropical soil and the large accumulation of nutrients in the deep soil (> 5 m).",
"license": "proprietary"
},
@@ -140122,7 +140954,7 @@
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"description": "This data set contains baseflow streamwater concentrations of pH, specific conductivity, base cations, carbon (dissolved organic carbon (DOC), particulate organic carbon (POC) and bicarbonate alkalinity) and silica for four headwater streams in the seasonally dry Amazon (Johnson et al. (2006a) and Johnson et al. (2006b). Data are provided in one comma-separated ASCII file.This hydrologic study of four headwater watersheds was conducted in an undisturbed forest near Juruena, Mato Grosso in the seasonally dry, southern Amazon. The small catchments range in size from 0.85 to 1.9 ha. Stream water samples were collected weekly during rainy seasons and biweekly during the dry seasons. Baseflow stream water concentrations of base cations, silica, electrical conductivity, DOC, and alkalinity varied inversely with discharge. While there was variation among the watersheds, the concentration-discharge patterns were consistent for each of the four watersheds. Baseflow discharge data are not included in this data set and will be archived separately.",
"license": "proprietary"
},
@@ -140135,7 +140967,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777749892-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777749892-ORNL_CLOUD.html",
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"description": "Tree and liana (vine) measurements were collected in a logging concession at the Fazenda Rohsamar in the municipality of Jurena in northwestern Mato Grosso. Tree identification and diameter measurements were collected between July 31, 2003 and October 14, 2003 on 10-m x 1000-m transects and the liana measurements were collected between August 5, 2003 and October 14, 2003 on 10 2-m x 1000-m transects within a 1400 ha logging block ( Feldpauschh et al. 2006). Liana transects were nested within tree census transects to relate total species data to the tree inventory. The biomass of lianas was calculated using two different allometric equations derived for lianas in Amazonian forests ( Gerwing and Farias, 2000; Gerwing et al. 2004). Comma-separated data files of measurements of (1) tree species (diameter >10 cm), and forest characteristics, (2) measurements of liana diameter, forest characteristics, and calculated biomass, and (3) georeference points for the liana sampling transects are provided.Selective logging has become a dominant land-use in Brazilian Amazonia. Published data on forest biomass in southern Amazonia is sparse. As part of a larger study to evaluate the effect of reduced impact logging on carbon dynamics and nutrient stocks, forest structure, and forest regeneration potential, we conducted a pre-harvest campaign to estimate tree and liana biomass in a parcel of managed forest in northwestern Mato Grosso. Prior to logging in 2003, a scientific inventory was conducted in Block 5 of the logging concession(Figure 1). Tree characteristics for all trees and palms > 10 cm DBH was measured by stratified sampling across the block to account for differences in tree densities (trees/ha). Transects were located using a commercial timber inventory to identify tree trunks approximately 10 cm DBH, lower and upper canopy height, species, and location of all individuals to the nearest 10 cm on an x-y grid. Diameter of all liana stems were included if their ultimate rooting point before ascending into the canopy fell within the transect. Lianas that had been cut due to reduced impact logging practices were also measured. Distance along the transect was recorded for each stem.",
"license": "proprietary"
},
@@ -140148,7 +140980,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777792629-ORNL_CLOUD.html",
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"description": "This data set reports the results of a vegetation survey along transects across the transition zones between the three major forest types in the seasonally dry forest of the southwestern Amazon Basin in the municipality of Juruena, Mato Grosso in 2004. The major forest types are differentiated by tree species composition, biomass, soil type, and landscape position: (1) campinarana; high stem density and low biomass on sandstone outcrops, (2) palm forest; low-lying seasonally inundated areas dominated by palms and, (3) terra firme; low stem density and high biomass. Along these 10 x 100 m transects, all trees, palms, and lianas >= 10 cm DBH in 10 x 10 m plots and, in nested 2 x 10 m subplots, all trees, palms and lianas >=1 cm DBH were measured, identified and georeferenced. Plot locations and survey data are reported in two comma separated files.",
"license": "proprietary"
},
@@ -140161,7 +140993,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780955938-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2780955938-ORNL_CLOUD.html",
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"description": "This data set provides fine litterfall mass and nutrient concentrations from samples collected at chronosequences established at Sao Francisco do Para and Capitao Poco, Para, Brazil. Nitrogen (N) and phosphorus (P) concentrations were determined for litterfall samples from the Sao Francisco do Para, and N, P, potassium (K), calcium (Ca), and magnesium (Mg) concentrations are reported for samples from the Capitao Poco. In addition, carbon (C), N, delta C13, and delta N15 values were determined for leaves from the dominant species of the forests at Sao Francisco do Para; soil physical and chemical characteristics were determined for a subset of the chronosequence plots at the two study sites; and soil trace gas fluxes were determined from the Sao Francisco do Para site. All samples were collected between March 2001-February 2005. Trace gas fluxes were measured 10 times between October 2000 and June 2002 with 5 sample periods in dry season and 5 in wet season months. There are five comma-delimited data files with this data set.",
"license": "proprietary"
},
@@ -140174,7 +141006,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781409456-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781409456-ORNL_CLOUD.html",
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"description": "This data set contains images of fractional cover estimates of photosynthetic vegetation (PV) canopy, nonphotosynthetic vegetation (NPV), and exposed soils (S) derived from Landsat images (30-m resolution) obtained for two ranches in the Brazilian Amazon from 1996 to 2002. The Fazenda Vitoria ranch is located in eastern Para near the city of Paragominas and is a mosaic of primary forest, logged forest, secondary forest, and pasture with moderately dissected topography. The Fazenda Nova Vida ranch is located in the state of Rondonia in western Amazonia and is a mosaic of primary forest, logged forest, and pastures. For Fazenda Vitoria, two dry-season Landsat images were obtained, subset, and analyzed. For Nova Vida three dry-season images and one end-of-wet-season image were obtained, subset, and analyzed. Spectral mixture analysis, which decomposes individual satellite pixels into constituent cover fractions of surface materials, was used with a general probabilistic modeling approach to derive subpixel cover fractions of PV, NPV, and S. There are six GeoTIFF (.tif) files with this data set. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2780961671-ORNL_CLOUD.umm_json",
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"description": "This data set reports the results of chemical analyses of rainfall, throughfall, litter leachate, and soil water samples collected before, during, and after a rainfall exclusion experiment conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. Samples were collected every two weeks from May 17, 1999 through May 10, 2006. Measurements included alkalinity, conductivity, pH, and selected anions and cations analyzed by ion chromatography.The exclusion treatment, began in late January 2000 and continued through December 2004, involved diverting about 60% of throughfall (equivalent to approximately half the rainfall) from a 1-hectare plot using plastic panels installed in the understory. The comparable 1-hectare control plot was unaltered. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad et al., 2002 and Nepstad et al., 2007). There are five comma-delimited data files with this data set. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162189202-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162189202-ORNL_CLOUD.html",
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"description": "This dataset provides leaf area index (LAI), tree species and canopy cover, normalized difference vegetation index (NDVI), and NDVI trends for boreal forests in interior Alaska, U.S. These data were collected to investigate NDVI trends with forest structure and composition as influenced by disturbance and succession. The data are from 102 sites surveyed in 2017 and 2018 and include locations with and without a fire since 1940. A time series of NDVI was developed from Landsat (1999-2018) to measure NDVI trends. The field data cover the period 2017-08-29 to 2018-08-20. The surveyed forest stands spanned a distance of over 425 km across interior Alaska. The sites were selected before visiting the field to include locations with and without a fire since 1940. Recently burned sites were selected to span a range of years since fire, while sites without a recent fire were selected to include a range of Landsat NDVI trends. For each year, the median NDVI during the growing season was calculated. Then, a simple linear regression trend was calculated for years 1999-2018.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2208430341-OB_DAAC.html",
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"description": "The Northeast U.S. Shelf (NES) Long-Term Ecological Research (LTER) project integrates observations, experiments, and models to understand and predict how planktonic food webs are changing, and how those changes impact the productivity of higher trophic levels. The NES-LTER is co-located with the Northeast U.S. Continental Shelf Large Marine Ecosystem, spanning the Middle Atlantic Bight and Gulf of Maine. Our focal cross-shelf transect extends about 150 km southward from Martha's Vineyard, MA, to just beyond the shelf break.",
"license": "proprietary"
},
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"description": "Measurements made by the National Fisheries Research and Development Institute (NFRDI), Ministry of Oceans and Fisheries for Korea, in the East China Sea in 2000.",
"license": "proprietary"
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"description": "Measurements made under the Northern Gulf Littoral Initiative (NGLI) in the Gulf of Mexico near the Mississippi River outflow region in 2001.",
"license": "proprietary"
},
@@ -140603,7 +141435,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1647528934-NSIDC_ECS.html",
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"description": "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation. This NISE Version 2 product contains SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager (SSM/I) aboard the Defense Meteorological Satellite Program (DMSP) F13 satellite. For DMSP-F16, SSMIS-derived data, see NISE Version 3. For DMSP-F17, SSMIS-derived data, see NISE Version 4. For DMSP-F18, SSMIS-derived data, see NISE Version 5.",
"license": "proprietary"
},
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"description": "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation. This NISE Version 3 product contains DMSP-F16, SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F16 satellite. For DMSP-F18, SSMIS-derived data, see NISE Version 5. For DMSP-F17, SSMIS-derived data, see NISE Version 4. For the older, DMSP-F13, Special Sensor Microwave Imager (SSMI) derived data, see NISE Version 2.",
"license": "proprietary"
},
@@ -140629,7 +141461,7 @@
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"description": "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation. This NISE Version 4 product contains DMSP-F17, SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F17 satellite. For DMSP-F16, SSMIS-derived data, see NISE Version 3. For DMSP-F18, SSMIS-derived data, see NISE Version 5. For the older, DMSP-F13, Special Sensor Microwave Imager (SSMI) derived data, see NISE Version 2.",
"license": "proprietary"
},
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"description": "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation. This NISE Version 5 product contains DMSP-F18, SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F18 satellite. For DMSP-F16, SSMIS-derived data, see NISE Version 3. For DMSP-F17, SSMIS-derived data, see NISE Version 4. For the older, DMSP-F13, Special Sensor Microwave Imager (SSMI) derived data, see NISE Version 2.",
"license": "proprietary"
},
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"description": "NOAA measurements from 1996 to 1999 along the Eastern US coastal region.",
"license": "proprietary"
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"description": "Measurements from the NOPP (National Oceanographic Partnership Program) as collected by ARGO profiling floats.",
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"description": "Measurements made in the Northern Balearic Sea in 2002 and 2003.",
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"description": "This data set contains eight data files (.txt format): three net primary productivity (NPP) data files and five climate data files. The NPP estimates are based on field measurements of litterfall accumulation at three tropical rainforest sub-sites near Atherton, Queensland, in northeast Australia. Additional NPP component data include standing litter biomass, leaf decomposition rates, and nutrient concentrations in litter, where available. Precipitation and temperature data are provided from measurements at two of the study sites, nearby weather stations, and from published literature sources. Annual litterfall estimates are based on weekly or bi-weekly measurements for 3-4 years (1974/5-1978) at the Wongabel (17.32 S 145.50 E) and the Gadgarra (17.30 S 145.72 E) State Forest Reserves, and weekly measurements for 5 years (1980-1985) at Tableland (17.28 S 145.57 E) near Atherton. Additional measurements were made at Wongabel and Gadgarra including branchfall (monthly); litter on the forest floor (quarterly); rainfall and throughfall (weekly); and trace element concentrations in litterfall (weekly or bi-weekly). In a related study at Gadgarra, litterfall and standing litter crop were sampled at approximately 19-day intervals from 1974 to 1976 and at approximately 3-month intervals 1976 to 1978. Total litterfall averaged 905 g/m2/year at Wongabel, 987 g/m2/year at Gadgarra, and 1,103 g/m2/year at Tableland, giving minimum estimates of above-ground NPP for this region of Australia and an indication of tropical forest productivity south of the Equator. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001. ",
"license": "proprietary"
},
@@ -141227,7 +142059,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2752551426-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752551426-ORNL_CLOUD.html",
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"description": "This data set contains two ASCII text files, one providing productivity measurements for a chalk grassland on Beacon Hill, West Sussex, U.K. (50.92 N, -0.85 W) and the other containing climate data from a weather station at the former King's College London, Rogate Field Centre, 6 km distant (51.01 N, -0.85 W). Measurements of above-ground live biomass and total dead matter were made by harvesting 0.25 m2 quadrats in the 20 x 20-m study area at eight to ten week intervals from March 1972 to April 1973. Precipitation amount and minimum/maximum temperature were recorded from 1969 through 1993.Above-ground net primary production (ANPP) was estimated by several methods: 332 g/m2/year (annual increase in living biomass, sum of species); 355 g/m2/year (peak or maximum live biomass, plant dry matter weight); 773 g/m2/year (maximum live + dead biomass); 310 g/m2/year (annual increase in living biomass carbon by summing positive increments in biomass); and 691 g/m2/year (annual net production accounting for leaf turnover). The carbon content of ANPP (accounting for leaf turnover) was estimated to be 310 gC/m2/year using a conversion factor of 0.45. Below-ground production was not measured.Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1998. ",
"license": "proprietary"
},
@@ -141240,7 +142072,7 @@
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"description": "This data set provides two data files in text format (.txt). One file contains estimates of above-ground live phytomass for an ephemeral desert steppe located in the Badkhyz Nature Reserve in southern Turkmenistan. Monthly measurements of plant biomass were made by harvest during the growing season (January-May) from 1948 through 1963. Afterwards, an annual measurement of peak live biomass was made in May from 1964 through 1982, with gaps for years 1973-1976. The second file contains monthly and annual climate data recorded at the study site from 1941 through 1982. Above-ground net production (ANPP) for the Badkhyz site is the lowest among the eight Eurasian grassland sites, at 100 g/m2/yr. Below-ground NPP for Badkhyz (1,745 g/m2/yr) was conservatively estimated from a similar dry, semiarid continental steppe in Northern Kazakhstan (i.e., Shortandy). Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1998. ",
"license": "proprietary"
},
@@ -141253,7 +142085,7 @@
"bbox": "-148.25, -47.5, 128.27, 66.37",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751948194-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751948194-ORNL_CLOUD.html",
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"description": "This data set provides estimates of above- and below-ground biomass, above- and below-ground NPP (ANPP and BNPP), and total NPP(TNPP) for selected North American and Eurasian boreal forests located between 66.37 degrees N and 47.5 degrees N. Each stand was selected through a review of published literature and classified into one of three classes, depending upon completeness of NPP budget, ancillary site data, and stand information. Within the overall 1965-1995 temporal range, data available for individual sites varies widely.There are two ASCII files (comma-separated-value format) of NPP data.\tThe first file provides carbon distribution in above- and below-ground vegetation biomass, above- and below-ground net primary production, and mean annual biomass increment for twenty-four (24) Class I sites which have complete NPP budgets (ANPP + BNPP). Information about site characteristics and NPP measurement approaches are also provided.\tThe second file provides stand information, carbon distribution in above-ground vegetation biomass, and ANPP data for forty-five (45) Class II boreal forest stands that have incomplete NPP budgets. Revision Notes:Above- and below-ground biomass, ANPP, and TNPP values for several sites have been corrected to agree with primary published sources and related data sets. The temporal coverage for both has been corrected to agree with primary published sources. Please see the Data Set Revision section of this document for detailed information.",
"license": "proprietary"
},
@@ -141266,7 +142098,7 @@
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"description": "This data set contains three ASCII text files for the Bridger grassland study site in the Rocky Mountains (45.78 N, -110.78 W, Elevation 2,340 m). Two files contain above- and below-ground biomass data, one for each treatment (ungrazed and moderately grazed). The third file contains climate data from the Big Timber weather station (45.80 N, -110.00 W, Elevation 1,249 m) near Bridger. Dynamics of above- and below-ground plant biomass were monitored by harvest technique at roughly 2-week intervals during the growing season for the years 1970, 1972, and 1973. Data on above-ground live biomass, standing dead matter, and litter are provided for each sampling date. Below-ground biomass (roots and crowns) are provided for 0-30 cm and 0-50 cm depths. Data were collected as part of a coordinated study over 1-3 years at ten grassland sites of the central and western United States under the U.S. Grassland Biome Project of the International Biological Program (IBP). Above-ground net primary production (ANPP) was estimated, conservatively, by summing peak biomass of individual species. Below-ground net primary production (BNPP) was estimated as the sum of positive increments in total root biomass (including root crowns). Values varied according to treatment.Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1998. ",
"license": "proprietary"
},
@@ -141279,7 +142111,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752547387-ORNL_CLOUD.html",
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"description": "This data set contains three ASCII files (.txt format). One file provides net primary productivity (NPP) data for the moist lowland tropical forest on Barro Colorado Island, Panama. NPP estimates are based on field measurements of litterfall accumulation, tree growth and mortality, and herbivory. Above-ground biomass and LAI are also reported. The other two files provide climate data recorded onsite.Annual litterfall accumulation (leaf + twig + other litterfall) averaged 1,064 g/m2/year, excluding losses to herbivory, on the central plateau of the island and in the Lutz catchment (1969-1979) and 1,246 g/m2/year at Poacher's Peninsula (1986-1990). Herbivory due to insects (about 50 g/m2/year) was estimated from leaf litterfall (1974-1977) by measuring holes and gaps in fallen leaves. An additional 30 g/m2/year may be lost to vertebrate herbivores which leave no identifiable traces in litter traps. Coarse wood litterfall due to tree damage may represent an additional 46 g/m2/year. Above-ground biomass averaged 27,425 g/m2 based on inventory data collected every 5 years from 1985 to 2000 and allometric regression equations. Tree growth of 554 g/m2/year was based on above-ground biomass changes during the three census intervals. Tree mortality of 2-3% was estimated by recording dead or missing trees (1982-1990). LAI of 7.3 was based on the average area of leaves that fell per area of ground per year. Overall, above-ground NPP for Barro Colorado Island was estimated at 1,800 g/m2/year. ",
"license": "proprietary"
},
@@ -141292,7 +142124,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751947951-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751947951-ORNL_CLOUD.html",
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"description": "This data set contains three data files. One file (.csv format) provides above- and below-ground biomass and leaf area index (LAI) data for a wet arctic tundra meadow (Biome research site 2, Dupontia meadow, vegetation type V) studied from 1970 to 1971 at Point Barrow, Alaska, USA, (71.30 N -156.67 W Elevation 5 m). The second file, also in .csv format, provides net primary productivity (NPP) estimates for different plant growth forms for eight vegetation types recognized in the coastal tundra at Barrow. The third file (.txt format) provides climate data from the weather station at Barrow, Alaska (71.30 N -156.78 W Elevation 31 m). Measurements of above- and below-ground living and dead biomass were made at 10-day intervals during the growing season (mid June to end of August) by harvest methods in 6 x 6 m study plots of undisturbed vegetation. LAI was estimated at 10-day intervals with inclined point quadrats and other methods. NPP estimates are based on harvest at the period of peak above-ground vascular biomass and seasonal CO2 gas exchange estimates in 1972. The studies were conducted as part of the International Biological Program (IBP) U.S. Tundra Biome program. Average total NPP for the eight vegetation communities recognized for the coastal tundra at Barrow was 230 g/m2/year (110 g/m2/year ANPP plus 120 g/m2/year BNPP). Values varied by vegetation community type. Revision Notes: This data set has been revised to correct several values of average below-ground plant standing crop. A second NPP data file has been added to provide NPP estimates for the different vegetation types at the coastal tundra study site from measurements made in 1972. Please see the Data Set Revisions section of this document for detailed information. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2755523295-ORNL_CLOUD.umm_json",
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"description": "This data set contains three ASCII files (.txt format). One data file contains above-ground biomass, litter, litterfall, herbivory, biomass change, and above-ground net primary productivity (ANPP) estimates for a late secondary moist subtropical forest based on measurements from 16 permanent study plots located along an elevational (60-290 m) and topological gradient within the 132-ha Cinnamon Bay watershed on St. John, U.S. Virgin Islands. The purpose of the study was to provide information on forest structure, species composition, and forest productivity along environmental gradients, including the effects of hurricanes and drought. The other two files provide climate records from nearby weather stations (1917-1981).Above-ground biomass was measured every 5 years (1983-2003). Litterfall accumulation was determined in 1992-1993. In 1983, total above-ground biomass on all plots combined averaged 13,870 g/m2; by 2003 during a post-hurricane recovery period, it had declined by nearly 7 percent. In 1983, biomass was greatest on the summit, intermediate on slopes and valleys, and least on ridges; by 2003, the quantities for all sites had converged except on the summit plot.In 1992, ANPP was estimated based on annual litterfall accumulation (897 g/m2/year) plus biomass change due to delayed mortality (142 g/m2/year) plus estimated herbivory (25 g/m2/year), giving a total ANPP of 1,064 g/m2/year. Periodic storms and drought appear to maintain the forest in a disturbed state.",
"license": "proprietary"
},
@@ -141318,7 +142150,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751947703-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751947703-ORNL_CLOUD.html",
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"description": "This data set contains five data files (.txt format). Three data files provide net primary productivity (NPP) estimates for a tropical dry deciduous forest within the 3,300-ha Chamela Biological Station, Mexico. There is one file for each of the three permanent watershed plots located along an elevational gradient from 60 to 160-m above sea level. NPP was estimated from field measurements obtained during wet and dry seasons between 1982 and 1995. A fourth NPP data file provides average nutrient fluxes into and out of five watersheds. The fifth file provides precipitation and minimum/maximum temperature data from measurements obtained onsite. Detailed data are available for above-ground NPP (ANPP) (fine litterfall, wood increment, and leaf herbivory plus an estimation of understory production), and below-ground NPP (BNPP) (fine root production and root increment). Biomass data and nutrient inputs/outputs (P, K, Ca, Mg) averaged from five watersheds are also included in the data set. Estimated ANPP ranged from 611 to 808 g/m2/year between the three sub-sites (average 682 g/m2/year), and total NPP ranged from 1,119 to 1,353 g/m2/year (average 1,206 g/m2/year). These estimates are thought to represent the lower bounds of NPP because root and stem herbivory have not been taken into account, although leaf herbivory is included. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751944333-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751944333-ORNL_CLOUD.html",
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"description": "This data set contains three ASCII files (.txt format). One file provides above- and below-ground biomass, productivity, litterfall, and bioelement data for a native C3 grassland near Charleville (-26.40 S, 146.27 E, Elevation 304 m) in southern Queensland, northeast Australia. The second file provides above- and below-ground biomass and productivity estimates for an introduced C4 grassland near Charleville. The third file contains climate data (precipitation and maximum/minimum temperature) recorded a weather station located at the Charleville Airport for the period 1942-1994. The NPP studies were carried out over a 12-month period from 1973 to 1974 using harvest techniques with a view to parameterizing a simulation model of primary production and livestock carrying capacity. Peak above-ground standing crop at the end of the summer season was 122 g/m2 and 154 g/m2 for the native and introduced grasslands, respectively. Maximum below-ground standing crop was markedly different, at 110 g/m2 and 400 g/m2, respectively, suggesting a significant difference in shoot/root allocation. Annual net primary production was estimated as the sum of above-ground peak standing crop (live + dead) and root increment. These values were 182 and 319 g/m2/yr for the native and introduced grasslands, respectively. Additional data on litter production and nutrient dynamics are available for the native grassland site. Data on soil moisture, determined gravimetrically with each biomass harvest, are available in the literature. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752562626-ORNL_CLOUD.html",
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"description": "This data set contains four ASCII text files for a 260-hectare humid Trachypogon savanna at the Estacion Biologica de Los Llanos, Calabozo, Venezuela (8.93 N, -67.42 W, Elevation 98 m). Two data files contain monthly estimates of above-ground biomass for the period January 1969 to October 1969, one file for each treatment (burned and unburned plots). These files also provide one estimate of below-ground biomass. Another NPP data file contains monthly estimates of above- and below-ground biomass, LAI, and nitrogen content of living and dead leaves and stems and below-ground biomass for an unburned area of the Calabozo savanna for March 1986 to April 1987. The fourth data file contains precipitation and maximum/minimum temperature data from a nearby weather station at Estacion Biologica de Los Llanos (8.88 N, -67.32 W, Elevation 86 m) for the period 1968-1986. Harvest methods were used to estimate above- and below-ground biomass. Total NPP (above- plus below-ground productivity) was estimated at 682 g/m2/yr for unburned and 755 g/m2/yr for burned grassland plots in 1969. Later TNPP estimates (1986/87) for the unburned grassland ranged from 823 to 1,310 g/m2/yr.Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1998. ",
"license": "proprietary"
},
@@ -141357,7 +142189,7 @@
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"description": "This data set contains two files (.txt). One file contains stand characteristics, soil characteristics, biomass distribution, and production allocation data measured during the 1984 growing season in four lodgepole pine stands (Pinus contorta var. latifolia) located near Canal Flats, British Columbia, Canada (50.2 N -115.5 W Elevation 1,300-1,380 m). The second file contains climate data from a nearby weather station at Kananaskis Boundary, Alberta (50.98 N -115.12 W Elevation 1,463 m). Two lodgepole pine stands were growing on xeric sites and two stands were growing on mesic sites. The stands were 70-78 years old, were unmanaged, and had regenerated naturally following wildfire. They were studied to determine the influence of soil water content on resource allocation to above-ground versus below-ground plant components. Above-ground NPP of the two xeric stands was 350 and 330 g/m2/yr, and below-ground NPP was 430 and 630 g/m2/yr, respectively, giving a range of total NPP from 780 to 960 g/m2/yr. ANPP of the two mesic stands was 640 and 740 g/m2/yr, and BNPP was 550 and 450 g/m2/yr, respectively, giving total NPP of 1,190 g/m2/yr in each case. Although the ANPP of the mesic stands was approximately double that of the two xeric stands, total NPP was only 36% greater for the mesic stands than for the xeric stands. Production allocation was in the following order: fine and small roots > stems > foliage > coarse roots > branches, for all but the wettest site, where stem production exceeded fine and small root production. Revision Notes: This data set has been revised to correct the sampling date (month) when above-ground biomass samples were collected. Please see the Data Set Revisions section of this document for detailed information. ",
"license": "proprietary"
},
@@ -141370,7 +142202,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751940644-ORNL_CLOUD.html",
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"description": "This data set contains two ASCII text files; one providing above-ground biomass, productivity, and bioelement concentration data for a derived savanna at Canas (10.4 N 85.1 W Elevation 45 m) in northwestern Costa Rica, and the other providing climate data from the La Pacifica weather station near Canas and rom other sources. Monthly dynamics of above-ground plant matter were monitored from July 1969 to June 1970 using harvest procedures within an exclosure to restrict grazing. The climate data are available from three time periods: 1951-1960, 1963, and 1969-1970. The climate is characterized by a dry season from late November to April, with little seasonal differences in temperature. The Canas study site is dominated almost exclusively by Hyparrhenia rufa, a perennial grass of African origin introduced extensively throughout the tropics. The original vegetation cover was closed semideciduous forest. The study area was deforested and converted to a grass savanna around January 1947, 22.5 years before the start of the present study. Light grazing by cattle and horses is accompanied by burning of the Canas savanna annually between December and April. Above-ground net primary productivity (ANPP) was estimated by two methods: maximum standing crop of herbaceous shoot tissue (peak live + dead matter) (968 g/m2/year); and the sum of monthly estimates of shoot production (including estimated mortality) (1,387 g/m2/year). End-of-season (November, 1969) live root biomass estimates of 1,220 g/m2 at 0-20 cm depth and 2,254 g/m2 at 0-100 cm depth are available in the literature. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751936709-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751936709-ORNL_CLOUD.html",
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"description": "This data set records the productivity of a semiarid shortgrass prairie steppe located in the Central Plains Experimental Reserve (CPER)/Pawnee National Grassland in north-central Colorado. There are nine data files (.txt). Four files contain measurements of monthly dynamics of harvested above-ground plant biomass, one file each for untreated, irrigated, fertilized, and irrigated + fertilized plots for the period 1970 to 1975. The fifth file contains annual above-ground NPP estimates for the untreated plot for the period 1970-1974. The sixth file contains long-term ANPP estimated from field harvest measurements made between 1970 and 1990 and by correlation with forage production measurements made between 1939 and 1990. Two additional files provide estimates of above- and below-ground NPP based on peak growing season harvests; one record covers 1970-1972 from the Pawnee site and the other covers 1985-1988 from CPER. The ninth file contains climate data for 1912-1990 from a weather station located at CPER.Revision Notes: This data set has been revised to correct the study site elevation, extend the temporal coverage, and add four data files containing estimates of NPP. Please see the Data Set Revisions section of this document for detailed information. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752568202-ORNL_CLOUD.html",
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"description": "This data set contains three ASCII files (.txt format). Two files contain above- and below-ground biomass and productivity data for a northern mixed prairie grassland, one file for an ungrazed treatment and the other for a heavily grazed treatment. The study site (46.90 N, -102.82 W, Elevation 784 m) is located in the northern Great Plains, near the city of Dickinson, about 160-km west of Bismarck, North Dakota. The third file contains climate data for the period 1891-1994 obtained from a weather station near Dickinson (46.88 N, -102.80 W, Elevation 750 m). Dynamics of above-ground living and dead plant biomass were monitored by the harvest technique at roughly 2-week intervals during the growing season of 1970. Total below-ground biomass was sampled at the same intervals by manual coring within the harvested plots to a depth sufficient to include at least 90% of the root mass. Data were collected as part of a coordinated study over 1-3 years at ten grassland sites of the central and western United States, under the US Grassland Biome Project of the International Biological Program (IBP).Above-ground net primary productivity (ANPP) was estimated conservatively by summing peak biomass of individual species. These values were 351 g/m2/year for ungrazed and 302 g/m2/year for grazed grassland plots. Below-ground net primary productivity (BNPP) was estimated as the sum of positive increments in total root biomass (including root crowns); 932 g/m2/year for ungrazed and 958 g/m2/year for grazed grassland plots. Revision Notes: Only the documentation for this data set has been modified. The files have been checked for accuracy and are identical to those originally published in 1998. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752608647-ORNL_CLOUD.html",
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"description": "This NPP data set contains one ASCII file (.txt format). The data file contains above- and below-ground biomass, litterfall, LAI, vegetation/soil micro-nutrient content (P, K, Ca, Mg, etc.), and above-ground net primary productivity (ANPP) estimates for transitional moist/dry tropical forests at Rio Lara (wet season site) and Rio Sabana (dry season site) in Darien Province, Panama. Field measurements were made in 1967 and 1968. No climate data are provided.Apart from litter quantity, most of the differences between these data reflect variations between the two plots sampled, rather than seasonal changes. Both plots were considered representative of the surrounding forest. The area was thought to have been forested for the previous 400 years, following abandonment of open savanna lands maintained by the Precolumbian Indians.Total annual leaf and branch fall averaged for the two sites was 1,137 g/m2/yr, representing a minimum ANPP estimate. Litter decomposition over the 9-month wet season was around 90%. LAI at both sites was high; however, the index for the dry site (10.6 m2/m2) was only half that of the wet season site (22.4 m2/m2). ",
"license": "proprietary"
},
@@ -141422,7 +142254,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751940745-ORNL_CLOUD.html",
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"description": "This data set provides two data files in text format (.txt). One file contains a long time series of biomass measurements made between 1955 and 1989 on a semi-desert steppe at the Dzhanybek Research Station in Kazakhstan (49.33 N 46.78 E Elevation 20 m). The second file contains monthly and annual climate data for the study site for the period 1953-1989.Peak live biomass measurements were made from 1955 to 1989 (excluding 1976) and additional measurements of above-ground live biomass and dead matter were made seasonally from 1985 to 1989. Averaged over the time series, above-ground live phytomass and standing dead were estimated to be 137 g/m2 and 32 g/m2 (dry matter weight), respectively, while below-ground phytomass dry weight was 1,750 g/m2. ANPP was estimated to be 201 g/m2/yr. BNPP and TNPP were not estimated.Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1997.",
"license": "proprietary"
},
@@ -141435,7 +142267,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751948807-ORNL_CLOUD.html",
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"description": "This data set represents a refined set of global net primary productivity (NPP) estimates and model driver data that are the results of the Ecosystem Model-Data Intercomparison (EMDI) workshop review and outlier analyses undertaken to assess the accuracy of global model forecasts of terrestrial carbon cycling. EMDI builds upon the accomplishments of the original worldwide synthesis of NPP measurements and associated model driver data prepared by the Global Primary Production Data Initiative (GPPDI) (Olson et al., 2001; 2013). The EMDI review and analyses produced NPP, climate, NDVI, land cover, vegetation, and soil data for a sub-set of GPPDI data: 81 Class A sites, 933 Class B sites, and 3,855 Class C 0.5-degree cell grids. Class A sites represent well-documented study sites that have complete above- and below-ground NPP measurements. Class B sites represent more numerous extensive sites with less documentation and site-specific information available. Class C cells represent estimates of NPP for 0.5-degree grid cells for which inventory, modeling, or remote-sensing tools were used to scale up the point measurements. The data files are in comma-separated-value (.csv) format: 18 data files for Class A sites which includes 12 comma-separated files (*.csv) and six compressed files (*.zip) 11 data files for Class B sites in comma-separated format (*.csv).9 data files for Class C grid cells in comma-separated format (*.csv).This document and a companion file (Olson et al., 2001) describe the compilation of NPP estimates under the GPPDI and the EMDI review and outlier analyses that produced this refined set of NPP estimates and model driver data. Revision Notes: This data set has been revised to correct previously reported NPP estimates for three OTTER Transect sites, USA, in the Class A NPP data file. Please see the Data Set Revisions section of this document for detailed information. ",
"license": "proprietary"
},
@@ -141448,7 +142280,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751943026-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751943026-ORNL_CLOUD.html",
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"description": "This data set contains three files (.txt format) for an established 8.25 ha boreal forest dominated by Norway spruce, Picea abies, at Flakaliden (64.12 N 19.45 E) in northern Sweden. Two data files contain stand characteristics, above- and below-ground biomass, and Net Primary Productivity (NPP) allocation data (one file for plots fertilized and irrigated during the growing season and one file for control plots). The third file provides climate data for the period 1991-1995 from a weather station established at the study site. The experimental forest was established in 1963 by planting 4-year-old P. abies seedlings after clear-felling, burning, and soil scarification. A yield optimization study was started in 1986 to compare the productivity of the boreal forest under four types of treatment (only the results of fertilization/irrigation and no treatment are presented herein). Treatments began in 1987 and continued through the 1996 growing season. Field measurements were made by inventory and harvest methods. After three years of treatment, height and diameter growth in the fertilized/irrigated stands were double that of the control stand. After 10 years, volume growth of fertilized/irrigated stands were almost four times that of the control. Total net primary production (TNPP) of the 36-year-old untreated stand in 1995 was 291 g/m2/year. TNPP in the fertilized/irrigated stand (902 g/m2/year) was more than three times that of the control, confirming earlier findings that nutrient availability is a major constraint on forest production in Sweden.",
"license": "proprietary"
},
@@ -141461,7 +142293,7 @@
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"description": "This data set contains seven ASCII data files (.txt format). Four files provide NPP data for contrasting lowland rainforests within Gunung Mulu National Park on the island of Borneo, Malaysia. Three files provide climate data from weather stations near Gunung Mulu.The study areas are located along an environmental gradient of varying soil types at elevations ranging from 50 to 300 m within the 544 km2 Park. The study sites are primary lowland evergreen rainforests, each about 1.0 hectare in size. They include: an alluvial forest (at 50 m elevation and often inundated during the wet season); a heath forest (on a sandy terrace at about 170 m elevation); a mixed dipterocarp forest (on ridge slopes at 200-250 m elevation); and a limestone forest (on shallow soils over limestone at the base of cliffs and ravines at 300 m elevation).The NPP files contain estimates of above-ground biomass, annual litterfall accumulation, standing litter crop, and nutrient content of different vegetation components and soils. The scientific expedition was carried out between June 1977 and September 1978. Estimates of litterfall, ranging from 886 g/m2/year to 1,203 g/m2/year, give a minimum estimate of above-ground production.The climate record for the study sites extends from 1915 through 1990. The area's climate is controlled largely by the Indo-Australian monsoon system with wet northeast monsoon from December to March and slightly drier southwest monsoon from May to October. Mean annual precipitation is around 3,000 mm and mean average temperature is about 27 C.",
"license": "proprietary"
},
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"description": "Net primary productivity (NPP) estimates were compiled by the Global Primary Production Data Initiative (GPPDI). The database covers 2,523 individual sites and 5,164 half-degree grid cells and underwent extensive review under the Ecosystem Model-Data Intercomparison (EMDI) process. The GPPDI database includes NPP measurements that were collected over a long time period by many investigators using a variety of methods. The measurements are categorized as either Class A, from intensively studied sites; Class B, from extensive sites; or reported as Class C, 0.5 latitude-longitude grid cells. The data set contains six comma-separated files (.csv format). There are two files for each class. One file for each class contains site locations, elevation, NPP estimates, climate data, biome and dominant species information, and references. The other file for each class contains model validation outlier flags derived from site-specific reviews. This document and a companion file (Olson et al., 2001) describe the compilation of NPP estimates under the GPPDI. The results of the EMDI review and outlier analysis produced a refined set of NPP estimates and model driver data (the EMDI database; Olson et al., 2001; 2013). Another ORNL DAAC data set (Zheng et al., 2013) contributed to the compilation of GPPDI. Revision Notes: This data set has been revised to correct previously reported ANPP, BNPP, and TNPP estimates for three OTTER Transect sites, USA, in the Class A NPP data file and BNPP, and TNPP estimates for Vindhyan, India, in the Class B NPP data file. Please see the Data Set Revisions section of this document for detailed information.",
"license": "proprietary"
},
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"description": "This data set provides two data files (.csv format) containing gridded (0.5-degree) estimates of net primary productivity (NPP), elevation, temperature, precipitation, NDVI, and biome type for selected terrestrial regions of the world. The field data used to develop NPP estimates came from 15 worldwide data sources in several different biomes covering the period 1954-1998. NPP values were developed from natural resource field inventories (e.g., forest, rangeland, crop) at different scales, from plot to county; from data compiled from published literature and high resolution maps; from simulation models using key independent variables; from regression analyses with environmental variables; and by using relationships between remotely-sensed spectral vegetation indices and field observations. The first file, NPP_Gridded_3654_cells_R3.csv with 3,654 0.5-degree grid cells, is suitable for biome level and overall analyses because of a larger sample size. In this file, 36 cells have above-ground net primary production (ANPP) only, 320 cells have total net promary production (TNPP) only, and 3,298 cells have both TNPP and ANPP. The second file, NPP_Gridded_2335_unique_cell_R3s.csv, was derived from the larger file and contains 2,335 0.5-degree grid cells after outliers were excluded, replicate measurements were averaged out for each unique geographic location, and cells classified as water, bare ground, and urban were excluded. This smaller data file is more appropriate for model/data inter-comparisons. Overall, gridded ANPP values ranged from 3 to 890 gC/m2/yr, and gridded TNPP values ranged from 3 to 1,235 gC/m2/yr. The lowest values are for sparsely vegetated ground (e.g., open shrublands) and the highest values are for forests. Revision Notes: This data set has been revised to correct the previously reported temporal coverage of field data measurements that were used to develop NPP estimates and the data set title was also corrected to reflect the date change. Missing value codes were added. Please see the Data Set Revisions section of this document for detailed information.",
"license": "proprietary"
},
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"description": "This data set contains two data files (.csv format). One file contains site characteristics, stand descriptors, and above-ground biomass and ANPP data for seven old-growth temperate forest stands and one young cove forest stand in the Great Smoky Mountains of Tennessee. The old-growth stands (> 200 years old) span several watersheds on the north slope of the mountains at elevations ranging from 720 to 1,140 m. The younger stand (48-63 years old, elevation 910 m) developed after agricultural abandonment. The second file contains monthly mean climate data averaged over four years (1947-1950) from four climate stations located along an elevational gradient (445-1,920 m) in Great Smoky Mountains National Park. DBH measurements were made at the beginning of the study and biomass increment was measured from a subset of trees. ANPP was estimated using regional species-specific allometric relationships for tree mass. Biomass, volume, and annual input of coarse woody detritus are also reported. Live biomass in the old-growth stands (32,600-47,100 g/m2) is among the highest reported for temperate forests of eastern North America while ANPP is moderate (630-1,010 g/m2/yr). ANPP in the younger stand was higher (1,180-1,310 g/m2/yr). In comparison with forests worldwide, inputs of coarse woody debris is moderate. Revision Notes: Previously reported field collection dates have been corrected in the NPP file. Biomass and ANPP values were converted from Mg/ha and Mg/ha/yr to g/m2 and g/m2/yr, respectively, consistent with units in other files in the NPP collection. Please see the Data Set Revisions section of this document for detailed information. ",
"license": "proprietary"
},
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"description": "This data set includes monthly grassland biomass data, net primary productivity (NPP) estimates, and climate (rainfall amounts and temperature) data for multiple study sites in major grassland types worldwide. Field measurements of biomass and associated environmental data were compiled for the multiple grassland study sites. When sufficient biomass data were available, NPP was estimated by six different algorithms for 31 grassland sites to examine potential bias associated with the algorithms (Scurlock et al. 2002).The data consisted of monthly measurements of biomass components including aboveground live material, standing dead, litter, belowground biomass, and belowground dead material. However, many of the sites did not collect all of the components. There are 1,477 field measurements of some component of NPP, all sites having at least aboveground biomass measurements. Of the 31 sites, 20 also measured standing dead and litter or total live plus dead material. In addition, 17 sites measured total belowground biomass, and six of these sites provided separate measurements of live and dead root components. The study sites had from 1 to 29 years of biomass data with an average of three years per site. Five ecoregions were represented, including cold desert steppe, temperate dry steppe, humid savanna, humid temperate, and savanna. The selection of study sites was based on the availability of complete and consistent information on NPP or at least partial NPP, together with the dynamics of live biomass and dead matter for at least the growing season (Scurlock et al. 2002). Site-description metadata, such as latitude, longitude, elevation, and information on vegetation type (biome), soil type, and land-use history were also desirable for inclusion for study sites in the compilation. Study sites were included that had at least one reference from the peer-reviewed literature.There are two data files in comma-separated (.csv) format with this data set.Revision Notes: Only the documentation for this data set has been modified from the original data set publication. ",
"license": "proprietary"
},
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"description": "In many grasslands, aboveground net primary productivity (ANPP) is commonly estimated by measuring peak aboveground biomass. Estimates of belowground net primary productivity (BNPP), and consequently, total net primary productivity (NPP), are more difficult. We addressed one of the three main objectives of the Global Primary Productivity Data Initiative for grassland systems - to develop simple models or algorithms to estimate missing components of total system NPP.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752578763-ORNL_CLOUD.html",
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"description": "This data set contains three ASCII files (.txt format). Two files contain above- and below-ground biomass and productivity data for a mixed prairie grassland, one file for an ungrazed treatment and the other for a moderately grazed treatment. The study site (38.87 N, - 99.38 W, Elevation 714 m) is located in the central Great Plains near the city of Hays, Kansas, about 400-km west of Kansas City. The third file contains monthly and annual climate data for the period 1891-1994 obtained from a weather station (38.87 N, -99.38 W, Elevation 613 m) located at the Hays grassland study site. Dynamics of above-ground living and dead plant biomass were monitored by the harvest technique at roughly 2-week intervals during the growing season of 1970. Total below-ground biomass was sampled at the same intervals by manual coring within the harvested plots to a depth sufficient to include at least 90% of the root mass. Data were collected as part of a coordinated study over 1-3 years at ten grassland sites of the central and western United States, under the US Grassland Biome Project of the International Biological Program (IBP).Annual above-ground net primary production (ANPP) was estimated conservatively by summing peak biomass of individual species. These values were 363 g/m2/year for ungrazed and 372 g/m2/year for grazed grassland plots. Annual below-ground net primary production (BNPP) was estimated as the sum of positive increments in total root biomass (including root crowns); 1,062 g/m2/year for ungrazed and 855 g/m2/year for grazed grassland plots.",
"license": "proprietary"
},
@@ -141552,7 +142384,7 @@
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"description": "This data set provides four data files containing net primary productivity (NPP) data, edaphic characteristics, average climatic conditions, and basic descriptive and quantitative information on vegetation for 117 globally-distributed terrestrial forest sites. The data set was derived from the IBP (International Biological Programme) Woodlands Data Set of DeAngelis et al. (1981). The data were collected from the mid 1950s to the early 1970s and were compiled into an electronic data set at the Oak Ridge National Laboratory to facilitate comparisons involving the diverse woodland ecosystems. One data file provides a complete synthesis of NPP, vegetation, edaphic, and climate data and data-source references for each of the 117 sites as published in DeAngelis et al. (1981) for a total of 5,887 records. The second file provides site location, biome, and selected forest productivity and soils data for the 117 sites. The third file provides summary climate data (temperature, precipitation, radiation, growing season length) for each site, and the fourth file provides forest type, investigator(s), and years of the study for each site. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally archived in 1997 (DeAngelis, et al, 1997.) ",
"license": "proprietary"
},
@@ -141565,7 +142397,7 @@
"bbox": "16.5, 60.82, 16.5, 60.82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751943280-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751943280-ORNL_CLOUD.html",
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"description": "This data set contains three files (.txt format). Two of the files contain stand characteristics, above- and below-ground biomass, and above- and below-ground production allocation data for Scots pine (Pinus sylvestris) forests near Jadraas, Sweden. One file is for a young regenerating forest (14-20 years old) and the other is for an old-growth forest (120-125 years old). The field measurements were made by destructive and non-destructive methods between 1973 and 1983. The third file contains climate data recorded at the Jadraas site from 1974 through 1990.The research was conducted under the auspices of SWECON (Swedish Coniferous Forest Biome) Project to enhance understanding of plant biomass dynamics and factors regulating plant growth. Most of the research concerned plant and vegetation processes, but particular interest was also given to soil processes, consumption processes, and energy and water exchange in the canopy and the soil.Total net primary production (NPP) in the young forest was estimated at 860 g/m2/year (above-ground = 372 g/m2/year; below-ground = 488 g/m2/year). NPP for the old-growth forest was not calculated; however, the data set contains estimates of branch and trunk growth (43 g/m2/year and 106 g/m2/year, respectively), annual litterfall (135-162 g/m2/year), needle grazing loss (1.55 g/m2/year), fine tree root production (188 g/m2/year), and understory root production (30 g/m2/year).Revision Notes: The NPP data file has been split into two files, one for the young regenerating forest and one for old-growth forest. The data files have been revised to correct previously reported data and information and to add new data from published sources. Please see the ORNL DAAC Data Set Change Information file for more information. ",
"license": "proprietary"
},
@@ -141578,7 +142410,7 @@
"bbox": "-76.65, 18.08, -76.65, 18.08",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751945511-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751945511-ORNL_CLOUD.html",
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"description": "This data set contains five NPP data files and three climate data files (ASCII .txt format). There is one NPP file for each of the five sub-types of upper montane tropical forest located along John Crow Ridge in the Blue Mountains of Jamaica. Biomass, productivity, tree mortality, standing crop of litter, LAI, and nutrient content of leaf fall were measured from 1974 to 1978. Long-term climate data are available from Cinchona Botanic Gardens, approximately 3 km south of the John Crow Ridge study area and at similar elevation.The John Crow Ridge study areas (18.08 N 76.65 W) consist of 8 to 10 contiguous 10 m x 10 m permanent plots. The forests are of low stature and appear to be completely undisturbed. The forest floor at one sub-site (Mor Ridge) was overlain by a 30-50 cm layer of mor humus with a high C/N ratio.ANPP was estimated to be between 654-997 g/m2/year (sum of litterfall and trunk/branch increment), or 854-1,057 g/m2/year (including tree mortality). These figures are lower than for lowland tropical forests with greater leaf turnover and reflect the relatively low stature of the upper montane forest plots. Above-ground biomass was estimated by both destructive methods and nondestructive regression analysis. Values ranged from 23,000 to 34,000 g/m2. Below-ground biomass (5,370 g/m2) was determined for one site by harvesting roots to a depth of 50 cm. LAI for trees plus understory, where measured, was 5.5-5.7 m2/m2.",
"license": "proprietary"
},
@@ -141591,7 +142423,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2752582478-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752582478-ORNL_CLOUD.html",
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"description": "This data set contains three ASCII files (.txt format). Two files contain above- and below-ground biomass and productivity data for a desert grassland in the Jornada Experimental Range, New Mexico, one file for an ungrazed treatment and the other for a light to moderately grazed treatment. The study site (32.60 N, -106.85 W, Elevation 1,350 m) is located in the Basin and Range geomorphic province at the northernmost extent of the Chihuahuan Desert, near the city of Las Cruces, New Mexico, about 60-km northwest of El Paso, Texas. The third file contains climate data for the period 1954-1992 obtained from a weather station located near the study site (32.62 N, -106.73 W, Elevation 1,300 m).Dynamics of above-and below-ground plant biomass were monitored at roughly 2-week intervals during the growing season from 1970 to 1972. Data on above-ground live biomass, recent and old dead matter, and root-crown biomass are available for one to two replications of grazed and \"ungrazed\" (relatively undisturbed) treatments. Total below-ground biomass was also sampled. Data were collected as part of a coordinated study over 1-3 years at ten grassland sites of the central and western United States, under the US GrasslandBiome Project of the International Biological Program (IBP).Annual above-ground net primary production (ANPP) was estimated, conservatively, by summing peak biomass of individual species, and annual below-ground net primary production (BNPP) estimated as the sum of positive increments in total root biomass. ",
"license": "proprietary"
},
@@ -141604,7 +142436,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2752610968-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752610968-ORNL_CLOUD.html",
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"description": "This data set contains one NPP data file and two climate data files (ASCII .txt format). The NPP file contains above- and below- ground biomass, litterfall, standing litter crop, and nutrient content data for a moist semi-deciduous secondary tropical forest at the Kade Agricultural Research Station (6.15 N 0.92 W), Ghana, spanning several collections periods between 1957 and 1972. Climate data come from weather stations at Kade near the study site (1958-1997) and at Kumasi near Kade (1945-1990).The Kade study site is typical of an old secondary forest which has probably not been cultivated or harvested since around 1915-1925. Tree basal area measured in 1957 was quite high at 33.7 m2/ha; measurements in 1968 of a plot a few hundred meters away gave 30.6 m2/ha.Detailed above- and below-ground biomass data are provided from a single clear-felling made in 1957. Nutrient content for lianas, leaves and twigs, branches, large wood, standing dead wood, stumps, litter, and roots is also provided. Total live + dead biomass was 36,102 g/m2, of which 5,414 g/m2 (15%) was below-ground live biomass and 23,568 g/m2 was above-ground live biomass. Monthly litterfall is available for 26 months (1970-72).Total annual NPP was estimated in the late 1950s at about 2,400 g/m2/year based on litterfall of 1,054 g/m2/year plus rough estimates of timber fall (1,070-1,121 g/m2/year) and root production (258 g/m2/year). In the 1970s, NPP was recalculated at 2,200-2,500 g/m2/year based on additional measurements of litter, wood fall, and decomposition. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2752614515-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752614515-ORNL_CLOUD.html",
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"description": "This data set contains one net primary productivity (NPP) data file and three climate data files (.txt format) for a fully closed tropical rainforest in the Khao Chong Reserve (7.58 N 99.8 E) in southern Thailand. The Reserve comprises 500 ha of well-preserved rainforest considered typical of the region, although maximum tree height (36 m) and biodiversity were less than in Malaysian forests. Net primary productivity (NPP) was estimated as the sum of annual net above-and below-ground biomass increase plus extrapolated annual litterfall and tree mortality. Biomass increment for trees > 4.5 cm diameter at breast height (DBH) was monitored between 1962 to 1965, and daily litterfall was measured for one month in 1962. Total NPP was estimated at 2,860 g/m2/year. This value includes a possible over-estimate of litterfall (2,330 g/m2/year) plus above-ground woody biomass increment and turnover as mortality combined (489 g/m2/year) plus below-ground woody biomass increment (41 g/m2/year). Fine root turnover and herbivory were not included in these estimates. Allometric relationships for estimating above-ground biomass were checked by destructive harvest. Leaf area index was relatively high at 11.4-12.3 m2/m2. Long-term climate data for Khao Chong are available from weather stations at Songkhla, Thailand (7.2 N 100.6 E) and Trang, Thailand (7.52 N 99.62 E). Depending on station location and temporal coverage, mean annual temperature is 27.2-27.4 C and mean annual precipitation is between 1,928 and 2,696 mm. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1998.",
"license": "proprietary"
},
@@ -141630,7 +142462,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751936985-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751936985-ORNL_CLOUD.html",
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"description": "This data set provides two data files in text format (.txt). One file contains biomass measurements made in 1948 and between 1967 and 1970 for a humid temperate steppe in the Khomutovskaya Steppe Nature Reserve in the Donezk Region of Ukraine. The second file contains monthly and annual climate data for the study site for the period 1955-1972.Biomass measurements were made once in July of 1948 and biweekly to monthly during the growing season (April-August/September) from 1967 to 1970 at the permanent Khomutovskaya research station. ANPP was calculated for each sampling date and cumulatively over the four years, 1967-1970. Averaged over the time series, above-ground live phytomass, standing dead, and litter biomass were estimated to be 340, 90, and 240 g/m2 (dry matter weight), respectively, while below-ground phytomass and mortmass were estimated to be 1,675 and 792 g/m2 (dry matter weight), respectively. ANPP was estimated to be 460 g/m2/yr. BNPP was estimated to be 1,340 g/m2/yr.",
"license": "proprietary"
},
@@ -141643,7 +142475,7 @@
"bbox": "100.9, 6.3, 100.9, 6.3",
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751937461-ORNL_CLOUD.html",
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"description": "This data set provides three data files in text format (.txt). One file contains monthly biomass measurements and Net Primary Productivity (NPP) estimates made between April 1984 and July 1990 on a semi-natural tropical monsoon grassland in southern Thailand. The second file contains a year-long record of monthly biomass measurements and NPP estimates made on a portion of the same grassland that was accidentally burned in January 1985. The third file contains monthly and annual climate data for the study site for the period 1973-1989.Two accidental fires occurred during the course of the study; the one in January 1985 burnt 40% of the study area and the other in February 1986 burnt most of the site. During 1985, sampling occurred simultaneously on unburned primary and burned secondary portions of the grassland; afterwards sampling continued on the primary site. Measurements of above- and below-ground live and dead biomass were made on the 15th day of each month. NPP estimates were calculated from changes in biomass and decomposition rates in unburned areas from 1984 through 1986. From April 1984 to April 1985, NPP was 2,036 g/m2/yr, with below-ground organs contributing 23% of this total. Production in the unburned area in 1985 was substantially lower (1,677 g/m2/yr) which coincided with a 35% decrease in mean leaf area index. NPP in the 1985 burned area was only slightly lower (1,524 g/m2/yr); however, NPP was substantially lower after the second fire in 1986 (134 g/m2/yr).Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1996.",
"license": "proprietary"
},
@@ -141656,7 +142488,7 @@
"bbox": "-96.61, 39.1, -96.61, 39.1",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751937858-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751937858-ORNL_CLOUD.html",
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"description": "This data set contains three ASCII files (.txt format). Two files contain above-ground biomass and productivity data for a humid temperate tall-grass prairie grassland located in the Konza Prairie Natural Research Area, Kansas. One file provides data for an unburned treatment and the other for a burned treatment for 1975 to 1990. The third file contains climate data for the period 1891-1988 obtained from a weather station at Konza. The above-ground net primary productivity measurement presented here (394 g/m2/year) is a 10-year average (1975-1984) based on peak seasonal live biomass values averaged for burned and unburned lowland and upland grasslands. The Konza study site (39.10 N, - 96.61 W, Elevation 400 m) is situated near the town of Manhattan in north-eastern Kansas, about 170-km west of Kansas City. The Konza research program is built upon a long-term database on ecological pattern and process data derived from a fully replicated watershed-level experimental design, in place at the Konza Prairie Biological Station since 1977. This design includes replicate watersheds subject to different fire and grazing treatments. Within the watersheds, permanent sampling transects are replicated at various topographic positions, where plant species composition, plant and consumer populations, above-ground net primary production (ANPP), soil properties, and other key above- and below-ground processes are measured. In addition to these watershed-level studies, the Konza Long Term Ecological Research (LTER) program includes a number of long-term plot-level experiments. ",
"license": "proprietary"
},
@@ -141669,7 +142501,7 @@
"bbox": "76.85, 29.97, 76.85, 29.97",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751941068-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751941068-ORNL_CLOUD.html",
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"description": "This data set contains two ASCII files (.txt format). One file contains above- and below-ground biomass (including standing dead material and litter) and productivity data for a tropical grassland at Kurukshetra University (29.97 N, 76.85 E, Elevation 247 m) in northern India, about 150-km north-northwest of Delhi. The second file contains climate data from a weather station located at the study site. Biomass measurements were made monthly by harvest methods from mid-May 1970 to mid-May 1971. Annual net primary productivity (NPP) was calculated for the grassland according to several methods, with preference shown for the estimate given by summing positive increases in biomass and accounting for mortality. Total NPP was estimated at 3,538 g/m2/yr, with above-ground net primary productivity (ANPP) of 2,407 g/m2/yr and below-ground net primary productivity (BNPP) of 1,131 g/m2/yr. Seasonal changes in the vegetation were studied through tiller analysis. Examination of vertical distribution of above-ground biomass showed that different layers of vegetation were dominated by different species in different months. ANPP was maximum during the rainy season (1,706 g/m2) and BNPP was maximum during the dry winter season (785 g/m2). Production was more directed above ground during the rainy season and below ground during the dry season. Apparent efficiency of energy conversion was calculated at 1.66% on the basis of 50% total solar radiation. ",
"license": "proprietary"
},
@@ -141682,7 +142514,7 @@
"bbox": "36.5, 51.67, 36.5, 51.67",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751938395-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751938395-ORNL_CLOUD.html",
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"description": "This data set provides two data files in text format (.txt). One file contains a long time series of biomass measurements made between 1954 and 1983 on a virgin meadow steppe in the Central-Chernozem V.V. Alyekhin Natural Reserve, Kursk Region, Russia. The second file contains monthly and annual climate data for the study site for the period 1947-1983.Above-ground live biomass measurements were made at biweekly to monthly intervals over the entire 30-year time series. Discontinuous measurements of above-ground standing dead matter and litter biomass (1956-1983) and below-ground live and dead biomass (1972-1973 and 1981-1983) were also made. Cumulative ANPP was estimated at the end of the growing season (1956-1963 and 1972-1973) and monthly (1982-1983). Averaged over the time series, above-ground live phytomass, standing dead, and litter biomass were estimated to be 362, 344, and 424 g/m2 (dry matter weight), respectively, while below-ground phytomass and mortmass were 910 and 1,370 g/m2 (dry matter weight), respectively. ANPP was estimated to be 774 g/m2/yr and BNPP was estimated to be 1,700 g/m2/yr for a TNPP estimate of 2,474 g/m2/yr. The study site is one of eight major grassland types of Eurasia which encompass an extremely wide climatic gradient in the direction of increasing maximum summer temperatures and continentality and decreasing precipitation in a north-west to the south-east band of steppes in the European and Asian parts of the former USSR (Commonwealth of Independent States). Kurst, on rich loamy chernozem soil, is one of the most productive upland grassland ecosystems of Russia with annual mean maximum/minimum temperatures of 24.8/-14.4 C and annual mean precipitation of 582.7 mm for the period 1947-1983. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1996. ",
"license": "proprietary"
},
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"bbox": "29.32, 66.37, 29.32, 66.37",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751944012-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751944012-ORNL_CLOUD.html",
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"description": "This data set contains three files (.txt format). One file provides stand characteristics, biomass, and production allocation data for an old-growth boreal forest near Kuusamo, Finland. The research was conducted during the 1967-1972 growing seasons. The other two files provide climate data from a weather station about 60 km south of the forest. One record contains precipitation and mean average temperature data for the 1961-1994 period (excluding 1971-1980) and the other contains precipitation data for 1908-1994. The Kuusamo research site is located just south of the Arctic Circle (66.37 N 29.32 E) and belongs to the northern boreal zone of taiga forests. The forest is an old Hylocomium-Myrtillus type spruce forest which has remained in a natural state and reached climatic climax long ago. The average age of the dominant spruces (Picea abies) is about 260 years. There is a well-developed ground layer of vegetation, chiefly dwarf scrub and mosses (dominant species: Vaccinium myrtillus, V. vitis-idaea, Hylocomium splendens, and Pleurozium schreberi). The northerly location of the forest and the age of its trees are the main factors responsible for low biomass and net production figures in comparison with spruce forests further south. Total above-ground biomass (including tree, understory, and moss layers) was determined by harvest methods and estimated to be 10,194 g/m2. Below-ground tree biomass estimates, also determined by harvest methods, are less reliable, at 3,753 g/m2. Total net primary productivity (NPP) for this site was estimated to be 441 g/m2/yr (421 g/m2/yr above-ground, 20 g/m2/yr below-ground).",
"license": "proprietary"
},
@@ -141708,7 +142540,7 @@
"bbox": "-5.03, 6.22, -5.03, 6.22",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751938861-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751938861-ORNL_CLOUD.html",
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"description": "This data set provides three data files in text format (.txt). One file contains monthly above-ground biomass measurements made in 1965 in a humid grass savanna at the Lamto Research Station, Cote Ivoire, Africa. The second file contains monthly above- and below-ground biomass measurements and calculations of carbon/nitrogen ratio of above-ground live and dead biomass and below-ground biomass from the same site for 1969-1987. The third file contains monthly and annual climate data for the study site for the period 1969-1990.Total net primary production (NPP) of the Loudetia simplex grass savanna was estimated at 2,150 g/m2/yr, of which 1,320 g/m2/yr (61%) was below-ground production. Normally 50-90% of above-ground grass biomass is burned annually,Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1996. ",
"license": "proprietary"
},
@@ -141721,7 +142553,7 @@
"bbox": "-65.82, 18.27, -65.73, 18.33",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751945793-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751945793-ORNL_CLOUD.html",
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"description": "This data set contains ten ASCII files (.txt format), one NPP file for each of the nine different montane tropical rainforest sites within the Luquillo Experimental Forest (LEF) of Puerto Rico and one file containing climate data. The NPP study sites are located along an environmental gradient of different soils, elevation (100-1,000 m), develop stage, and mean annual rainfall. Field measurements were carried out from 1946 through 1994.",
"license": "proprietary"
},
@@ -141734,7 +142566,7 @@
"bbox": "-71.42, -45.6, -71.42, -45.6",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2752586142-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752586142-ORNL_CLOUD.html",
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"description": "This data set contains two ASCII files (.txt format). One file provides monthly above-ground live biomass, dead matter, and litter data and daily above-ground net primary productivity (ANPP) data for a temperate grassland steppe at the Media Luna Ranch in Patagonia, Argentina (45.60 S, 71.42 W, Elevation 630 m) for the period May 1981 to March 1983. The second file contains climate data recorded at Media Luna Ranch from 1981 through 1985. Productivity of the steppe was monitored at monthly or bi-monthly intervals during two growing seasons. The ANPP measurement presented here is the sum of the increase in above-ground live biomass, dead matter, and litter. ANPP was estimated to be 0.00-0.15 g/m2/day in winter months (May-September) and 0.22-0.94 g/m2/day in the warmer months. Annual ANNP was estimated to be 35 g/m2/year. The study site is a 2.5-hectare exclosure situated on the Rio Mayo terraces. The steepe represents one of the most important grassland areas of Patagonia which occupy a narrow belt in the foothills of the Andes. The region has been over-grazed by introduced livestock since the early 1900s, and is currently used for sheep production. ",
"license": "proprietary"
},
@@ -141747,7 +142579,7 @@
"bbox": "-73.56, 6.39, -73.56, 6.39",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751946032-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751946032-ORNL_CLOUD.html",
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"description": "This data set contains two NPP data files and one climate data file (ASCI .txt format). The NPP files contain data for above-ground biomass, litterfall, and nutrient content of above-ground vegetation, organic surface layer, and soils measured during an 18-month period in 1970 and 1971 at two contrasting tropical seasonal evergreen forests in Magdalena Valley, Colombia. The climate record provides mean monthly and annual precipitation (1951-1992) and mean monthly and annual average temperature (1970-1997) from Barranca Bermeja (7.00 N 73.80 W) near the Magdalena Valley sites. ",
"license": "proprietary"
},
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"description": "This data set contains one data file (.csv format) that quantifies net primary productivity (NPP) as a function of rainfall in mesic to wet montane rainforests on the island of Maui, Hawaii, U.S.A. The NPP data were collected at six mature forests stands that comprise the Maui Moisture Gradient, a sequence of sites located on Maui where mean annual precipitation ranges from 2,200 mm to 5,050 mm while temperature and all other state factors (parent material, substrate age, organisms, and topography) that control NPP remain relatively constant. ",
"license": "proprietary"
},
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"description": "This data set includes six ASCII files (.txt format). Five files contain productivity values for several types of tropical Amazon rainforest near Manaus, Brazil studied between 1963 and 1990, and one file contains monthly and annual climate data for the period 1910-1993.",
"license": "proprietary"
},
@@ -141786,7 +142618,7 @@
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"description": "This data set provides three data files in text format (.txt). One file contains monthly biomass measurements and net primary productivity (NPP) estimates made between June 1984 and December 1994 on an ungrazed saline grassland (MNT1) that was accidently burned in February 1986 at the Colegio de Postgraduados field station site, Montecillo, Mexico. The second file contains a shorter time series of monthly biomass measurements and NPP estimates on an adjacent saline grassland (MNT2) that was burned in May 1989, probably by local farmers following normal burning practices. Both files also contain above-and below-ground dead matter decomposition rates. There are data gaps in both files. The third file contains monthly and annual climate data for the period 1963-1989 from the Chapingo meteorological station located 5 km northeast for the study area.Annual NPP at MNT1 was calculated for 1985-1987 to determine impacts of the unexpected fire. Above-ground NPP (NPP) averaged 669.2 g/m2/yr despite post-fire decline and recovery and variable rainfall over the period. Below-ground NPP (BNPP) was higher, averaging 1,007 g/m2/yr, but with a similar post-fire decline and recovery pattern. Total NPP reflected the yearly variation in ANPP and BNPP, averaging 1,676 g/m2/yr over the 3 year period. Monthly ANPP and BNPP values for MNT2 were lower overall but were not analyzed to determine annual trends.Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1996. ",
"license": "proprietary"
},
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"description": "This data set contains two ASCII files (.txt format), one providing net primary production (NPP) component data for a lower montane rainforest and the other providing climate data. The NPP studies were conducted at Marafunga (6.00 S 145.18 E) in the highlands of Papua New Guinea to the east of Mount Kerigomna, about 25 km west of the town of Goroka. LAI, litterfall, litter standing crop and decomposition, and nutrient content of different vegetation components were measured from November 1970 through December 1971 at four representative forest stands: Ridge Top; Ridge Gap; Valley; and Slope. Forest inventories and field measurements of above- and below-ground biomass were made by destructive harvest at a fifth stand (Ridge Top) during October-December 1970 and April-August 1971. The results of these studies are given for the forest at large. The only component of NPP determined at Marafunga was litterfall (755 g/m2/year). ",
"license": "proprietary"
},
@@ -141812,7 +142644,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751946671-ORNL_CLOUD.html",
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"description": "This data set contains two files (.txt format) for study sites in the Mississagi River area of Ontario, Canada (46.35 N -83.38 W elevation 860 m). One file summarizes the results of a series of investigations on the nutrition of jack pine ecosystems, including stand characteristics, above-ground biomass, and where available, litterfall amount and nutrient content of vegetation, litterfall, and soil horizons. Field data were collected in three jack pine (Pinus banksiana) study plots between 1969 and 1973. The stands were 20, 30, and 65 years of age. The second file contains climate data recorded at two weather stations near the Mississagi sites. Precipitation data were obtained from Saulte Sainte Marie, Michigan, USA (46.5 N -84.4 W elevation 218 m) and temperature data were obtained from Saulte Sainte Marie, Ontario, Canada (46.5 N -84.5 W elevation 188 m). Net primary productivity (NPP) was not directly measured, but is estimated based on above-ground tree growth and litterfall. For the different aged stands, above-ground tree growth was estimated at 262 g/m2/yr (0-20 years), 289 g/m2/yr (20-30 years), and 93 g/m2/yr (30-65 years). Annual tree litter production for the 30-year-old stand averaged 372.9 g/m2/yr over the course of 3 years. Understory litterfall production for the 30-year-old stand in one year was 33.1 g/m2/yr. Revision Notes: The NPP and climate data files for Mississagi have been revised to correct previously reported temporal coverage and litterfall data. Please see the Data Set Revisions section of this document for detailed information. ",
"license": "proprietary"
},
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"description": "This data set contains five ASCII files (.txt format). Three files contain productivity data for a mixed prairie at the Matador Field Station, Canada, and two files contain climate data. The 8-km2 Matador Field Station (50.70 N, -107.72 W, Elevation 676 m) is located approximately 47-km north of the city of Swift Current in southern Saskatchewan Province at the northern limit of the \"mixed prairie\" portion of the North American Great Plains. The study area is located on the bed of a former glacial lake. One NPP file contains monthly measurements of above-ground standing live and dead biomass and litter made in \"Section 16\" by harvest methods during the growing season from March or April 1968 to October or November 1972. The second NPP file contains monthly measurements of root biomass made at different depths in \"Section 16\" during the growing season from April 1968 to July 1971. The third NPP file contains monthly above-ground biomass estimates for a secondary study area during the growing season from May 1970 to August 1972. The climate data are reported from two locations, one file from a weather station at Swift Current (1938-1990) and the other from a weather station at the Field Station during the study period (1968-1972). The above- and below-ground net primary productivity (ANPP and BNPP, respectively) were calculated for \"Section 16\" only. ANPP (363 g/m2/yr) was sum of the increase in green biomass over the growing season, plus increase in dead biomass and litter. BNPP (600 g/m2/yr) was the increase in root biomass over the growing season.",
"license": "proprietary"
},
@@ -141838,7 +142670,7 @@
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"description": "This data set contains one data file (.csv format) that provides net primary productivity (NPP) estimates for 34 grasslands, 14 tropical forests, and 5 boreal forest sites distributed worldwide. The NPP data were compiled from published literature. In addition to above- and below-ground NPP, and total NPP estimates, the file includes site name and location, biome type, mean annual precipitation, and mean annual temperature, where available. Aboveground net primary production (ANPP), ranged from 35 to 2,320 g/m2/year, belowground net primary production (BNPP) ranged from 20 to 1,832 g/m2/year, and total net primary production (TNPP) ranged from 182 to 3,538 g/m2/year. Revision Notes: This data file has been revised to add a negative sign to south latitude and west longitude decimal degree coordinates, and the compass direction (N, S, E, W) for coordinates has been removed. NPP data for Vindhyan, India; Atherton, Australia; John Crow Ridge, Jamaica; and La Selva, Costa Rica, have been revised to correct previously reported values. Additional data references for Kuusamo, Finland, and La Selva, Costa Rica, have been added. Please see the Data Set Revisions section of this document for detailed information. ",
"license": "proprietary"
},
@@ -141851,7 +142683,7 @@
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"description": "This data set, NPP Multi-Biome: Summary Data from Intensive Studies at 125 Sites, 1936-2006, contains a single shapefile that provides site-level summary statistics from 125 sites in five biomes: boreal forest, grassland, temperate forest, tropical forest, and tundra. The spatial coverage is global and spans the time period from 1936 through 2006. Study periods, and both spatial and temporal resolution vary by site. Data include georeferenced location, elevation, mean annual precipitation, mean annual minimum and maximum air temperature, dominant soil type, ecoregion type, dominant plant species, general vegetation types, annual mean or peak living above- and below-ground biomass, average annual above- and below-ground Net Primary Productivity (NPP), and reference information. Additionally study sampling period and intervals, plot management, and long-term site management history are also provided.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751941513-ORNL_CLOUD.html",
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"description": "This data set contains five data files in text format (.txt). Three files contain biomass dynamics data for a broad-leaved savanna located in the 800-hectare Nylsvley study site 200 km north of Johannesburg, South Africa. One net primary productivity (NPP) file contains monthly above-ground biomass data from harvests made between mid-October 1974 and mid-September 1977. A second NPP file contains three-year mean monthly values for above-ground, standing dead, and litter biomass. The third NPP file contains monthly below-ground living and dead biomass data from excavations made from August 1988 to November 1989. Climate data are provided in the other two files. One file contains air temperature data measured at the study site (1975-1983). The other file contains rainfall data measured at a nearby farmhouse (1917-1995).Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751939184-ORNL_CLOUD.html",
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"description": "This data set provides three data files in text format (.txt). One file contains a long time series of monthly biomass measurements and net primary productivity (NPP) estimates made between July 1984 and November 1994 on an ungrazed tropical dry savanna grassland in the Nairobi National Park, Kenya. The second file contains a shorter time series (October 1989-June 1991) of monthly biomass measurements made on an adjacent savanna that had been clipped in September 1989. The third file contains monthly and annual climate data for the study site for the period 1969-1989.Measurements of above-ground live phytomass, standing dead, and litter biomass were made on the 15th day of each month on the ungrazed grassland over the time series (except during 1987 and at a few other times). The time series for below-ground biomass (BNPP) measurements (live and dead) is more discontinuous with large gaps in 1987-1989. NPP estimates are only available for part of 1984 through 1986 on the ungrazed savanna. The above-ground NPP (ANPP) values averaged 1,004 g/m2/yr and BNPP averaged 875 g/m2/yr. The record of above- and below-ground biomass measurements for the clipped savanna is complete except for a few months in 1990. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752605983-ORNL_CLOUD.html",
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"description": "This data set contains three files. The first file provides net primary productivity (NPP) estimates, vegetation characteristics, and summary climate data for 720 globally-distributed terrestrial sites. Each site is geographically referenced (latitude/longitude) and classified according to biome (i.e., cropland, desert, forest, grassland, Mediterranean, pasture, plantation, savanna, tundra, and wetlands), where known. The data were extracted and synthesized from scientific literature dating from 1869 to 1982. The majority of references were published in the 1960s and 1970s. The second file provides a summary of climate, vegetation type, species, and type for the 720 records. The third file provides the bibliography of 858 original-source references of data on NPP from Esser et al. (1997). Literature that is not directly cross-referenced to the NPP data set records is marked with an asterisk (*). Of the 720 unique NPP records, about two-thirds have above-ground net primary production (ANPP) estimates that range between 1 and 8,530 g/m2/year dry matter, one-fourth of the sites have estimates for below-ground NPP that range between 0 and 5,828 g/m2/year, and more than half of the sites have total NPP estimates that range from 3 to 9,320 g/m2/year dry matter. The high-range estimates are lower when doubtful values, wetlands estimates, and estimates for crops/pastures and other managed systems are excluded from calculations. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1998. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751941950-ORNL_CLOUD.html",
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"description": "This data set contains two ASCII files (.txt format). One file contains monthly above-ground biomass data (total live biomass plus dead matter) for May 1956 to February 1958 for an annually burned, humid derived savanna in the Olokemeji Forest Reserve, Nigeria (7.42 N, 3.55 E) . This file also contains single measurements of above-ground biomass for years 1963 and 1964, single measurements of above-ground biomass at a nearby area for years 1960 and 1964, a single measurement of peak herbaceous leaf area index (LAI) for 1963, and a single measurement of peak tree/shrub LAI for 1964. Harvest procedures were used to measure biomass. LAI was determined by direct measurements. The second file contains climate data (precipitation amount and maximum/minimum temperature) from a weather station at the study site for the period 1956/01/01 through 1964/12/31.Annual above-ground net primary production (ANPP) estimates presented here are the sum of the increase in above-ground plant matter accumulation (total live biomass plus dead matter). ANPP of the herbaceous layer was estimated in 1957 to be around 680 g/m2/yr based on peak total clipped matter.",
"license": "proprietary"
},
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"description": "This data set contains three ASCII files (.txt format). Two files contain above- and below-ground biomass and productivity data for the Osage tallgrass prairie study site (36.95 N, -96.55 W, Elevation 392 m) in the U.S. Central Lowlands. There is one file for each treatment area (ungrazed and lightly grazed). The third file contains climate data from weather station at Pawhuska, Oklahoma (36.67 N, -96.35 W, Elevation of 255 m) near Osage.Dynamics of above- and below-ground plant biomass were monitored by harvest technique at roughly 2-week intervals during the growing season for the years 1970-1972. Data on above-ground live biomass, standing dead matter, and litter are available for two replications each at recently grazed and an \"ungrazed\" (relatively undisturbed) grassland sites at Osage. Below-ground biomass was sampled at 0-30 cm and 0-90 cm depths. The data were collected as part of a coordinated study over 1-3 years at ten grassland sites of the central and western United States, under the US Grassland Biome Project of the International Biological Program (IBP). Annual above-ground net primary production (ANPP) was estimated conservatively by summing peak biomass of individual species (346 g/m2/yr), and annual below-ground net primary production (BNPP) was estimated as the sum of positive increments in root biomass (including crown biomass) (542 g/m2/yr). Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1998. ",
"license": "proprietary"
},
@@ -141929,7 +142761,7 @@
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"description": "This data set provides three data files in text format (.txt). Two files contain biomass and above-ground net primary production (ANPP) estimates for two upland meadows with contrasting soil types at the Otradnoe research station of the V.L. Komarov Botanical Institute of the Russian Academy of Sciences located on the Karelian peninsula 100-km to the north of St. Petersburg, Russia. The third file contains monthly and annual climate data recorded at the study site for the period 1968-1973. Measurements of above- and below-ground live and dead biomass were made at a sandy meadow (OTRS) from 1969 to 1972 and at a loamy meadow (OTRL) from 1969 to 1973. Additional biomass measurements were made at OTRS in June 1972 and at OTRL in May 1973. Monthly N, P, and S content of above-ground live biomass were measured 1969-1971 at OTRS.Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1996. ",
"license": "proprietary"
},
@@ -141942,7 +142774,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751945080-ORNL_CLOUD.html",
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"description": "This data set provides net primary productivity (NPP) estimates and associated field measurements for six sites located along the 250-km, west-east transect of the Oregon Transect Ecosystem Research Project (OTTER) in the Pacific Northwest. Leaf area indices, biomass, and NPP vary about 10-fold across the OTTER transect. Leaf area index (LAI) ranges from 0.4 m2/m2 at the Juniper/Sisters site to 8.6 m2/m2 at the Scio western Cascade site. Total NPP follows a similar trend with the Juniper/Sisters site having the lowest NPP value (300 g/m2/yr) and the Scio site having the highest (2,250-2,570 g/m2/yr). Total tree biomass across the transect ranges from to 1,080 g/m2 at Juniper/Sisters to 71,080 g/m2 at Cascade Head. Vegetation intercepts 22% to 99.5% of incident photosynthetically active radiation along the transect.There is one data file (.csv format) with this data set. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1999. ",
"license": "proprietary"
},
@@ -141955,7 +142787,7 @@
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"description": "There is one comma-separated (.csv) data file and one text (.txt) file (bibliographic information) with this data set. This data set provides above-ground net primary production (ANPP) and total net primary producitivity (NPP) [expressed in grams of carbon per square meter per year (gC/m2/year)], and the C fraction used to convert dry biomass weight to carbon content, for 127 unique study sites in northern Eurasia. The sites are classified by ecozone (i.e., tundra, forest-tundra, taiga, mixed forest, broadleaf forest, small-leaved secondary forests, forest bogs, meadows, steppe, semi-desert, and polar desert) and plant community (phytocoenosis). Each study location is georeferenced (latitude/longitude) with elevation and zonal/interzonal information. References to original author, year of publication, and table/record in Bazilevich (1993) are also included. The data set also provides a bibliography of 274 original-source references (in Russian) to accompany the 127 data records on NPP from Bazilevich (1993). The data are a subset of data adapted from Bazilevich, N.I. 1993. Biological Productivity of Ecosystems of Northern Eurasia. Nauka Publishers, Moscow. 293 pp. (in Russian). The data set originated from field measurements of primary productivity collected between 1940 and 1988 for most of the terrestrial vegetation types in northern Eurasia. The NPP data collection contains field measurements of biomass, estimated NPP, and climate data for terrestrial grassland, tropical forest, temperate forest, boreal forest, and tundra sites worldwide. Data were compiled from the published literature for intensively studied and well-documented individual field sites and from a number of previously compiled multi-site, multi-biome data sets of georeferenced NPP estimates. The principal compilation effort (Olson et al., 2001) was sponsored by the NASA Terrestrial Ecology Program. For more information, please visit the NPP web site at http://daac.ornl.gov/NPP/npp_home.html.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2752591369-ORNL_CLOUD.html",
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"description": "This data set contains two ASCII files (.txt format). One file contains monthly productivity data measured on an arid dwarf-shrub steppe in northern Patagonia, Argentina from August 1980 to March 1982. The second file contains climate data recorded at a weather station set up onsite for the duration of the NPP study.Dynamics of above-ground biomass, dead matter, and litter were monitored at Pampa de Leman (-45.43 S, -69.83 W, Elevation 400 m) at monthly or bi-monthly intervals in a 1.5-hectare exclosure area protected from sheep grazing. The vegetative community is dominated by the dwarf shrub Nassauvia glomerulosa, with two grasses (Poa dusenii and Hordeum comosum).Annual above-ground net primary productivity (ANPP) of 78 g/m2/yr was estimated from the sum of the increase in above-ground biomass, dead matter, and litter.",
"license": "proprietary"
},
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"description": "This data set contains four ASCII data files (.txt format), one providing net primary production (NPP) component data and three providing climate data. The NPP studies were conducted in a lowland tropical rainforest in the Pasoh Forest Reserve, Malaysia (2.98 N 102.31 E) from 1971 through 1973. Precipitation and temperature data are available from weather stations located about 25 km from the study sites.",
"license": "proprietary"
},
@@ -141994,7 +142826,7 @@
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"description": "This data set contains site characteristics, stand descriptors, and measured and calculated above-ground biomass, above-ground net primary production (ANPP), and woody detritus input data for an old Sequoia sempervirens stand at Bull Creek in Humboldt Redwoods State Park, California. There is one data file (.csv format) with this data set. Productivity of the Sequoia stand was studied via tree re-measurement (1972 and 2001) and allometric relationships. Measurements of tree circumference at 1.7 m above ground were made at the beginning and the end of the study. A 1972 stem map of the stand allowed the investigators to identify and re-measure trees >10 cm in diameter. ANPP was estimated using a range of specific gravities and several allometric relationships for tree volume. Estimation procedures were outlined by Busing and Fujimori (2005). Tree loss to mortality over the study interval was included in the analysis. Estimates of total tree ANPP ranged from 600 to 1,400 g/m2/yr. However, ANPP values in the range of 700-1,000 g/m2/yr were considered to be the most reasonable estimate because of the accuracy of the particular equations, specific gravities, and assumptions used to obtain them (Busing and Fujimori, 2005). Above-ground total tree biomass was extremely high (> 300,000 g/m2). Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2005. ",
"license": "proprietary"
},
@@ -142007,7 +142839,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751947073-ORNL_CLOUD.html",
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"description": "This data set contains three data files in text format (.txt) for a temperate dry steppe at Rio Mayo, Argentia. One file contains quarterly above-ground biomass data for grasses on the steepe (May 1984-May 1985). The second file contains average annual above-ground primary production (ANPP) data for grasses and shrubs for years 1972-1997 based upon peak above-ground biomass estimates. The third file contains precipitation and maximum/minimum temperature data for the Rio Mayo site for the period 1968 through 1990.Rio Mayo is located in the Patagonia region of Argentina. The vegetation is chiefly composed of grasses and shrubs. Harvest methods were used to estimate grass and shrub production. Between 1972 and 1997, peak annual ANPP of grasses plus shrubs ranged from 21 to 75 g/m2/yr, with an average of about 60 g/m2/yr. Grasses accounted for about two-thirds of the productivity. ANPP was reduced in a drought year, but did not increase in relatively wet years, suggesting that it may not be linearly related to precipitation. ANPP for 1984-1985 was slightly higher (79 g/m2/yr) when a different algorithm was used for estimation. Revision Notes: The original npp data file (rmy_npp.txt) has been split into two files, one file containing seasonal biomass and the other containing annual ANPP estimates. The data file containing annual ANPP estimates has been revised to extend temporage coverage and add additional annual ANPP data. See the Revisions section in this document for details.",
"license": "proprietary"
},
@@ -142020,7 +142852,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751946862-ORNL_CLOUD.html",
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"description": "This data set contains two files (.txt format). One file provides above- and below-ground biomass, soil, and nutrient data for a mature boreal ecosystem (subarctic Picea mariana/lichen woodland) near Schefferville, Canada (54.72 N, -67.70) for the 1974 growing season. The second data file contains climate data (precipitation amount and maximum/minimum temperature) from a weather station located 22 km northeast of the study site for the 1948-1990 period. The black spruce/lichen woodland is a vegetation type found in the transitional zone between boreal forest and tundra on well-drained, nutrient-poor podzolic soils. These spruce/lichen woodlands are generally not subject to attack by herbivory, but natural fires are common. The study forest was estimated to be 110 years old, based on annual tree ring data which showed the number of years since it was last burned. Biomass estimates were determined by harvesting trees, shrubs, and ground cover in the 0.2 ha study plot. To confirm the \"typical\" nature of the site, species composition and density were evaluated for the principal plot and compared to that of fifteen other plots. Organic and mineral soils were also extracted. The plant and soil samples were evaluated for nutrient and mineral content. Living tree, shrub, and lichen components contributed a total biomass of 2,636, 833, and 939 g/m2, respectively. NPP was estimated by the Terrestrial Ecosystem Model (TEM) to be about 340 g/m2/yr. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001. ",
"license": "proprietary"
},
@@ -142033,7 +142865,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751946380-ORNL_CLOUD.html",
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"description": "This data set includes five ASCII files (.txt format). Three files contain above- and below-ground biomass and net primary productivity (NPP) data, one file for each tropical forest study site near San Carlos de Rio Negro, Venezuela. The study sites are located along an ecosystem gradient from riverine to lateritic hill: Tall Amazon Caatinga forest on coarse sandy spodosols close to river level; Bana vegetation on sandy soils less prone to flooding; and Tierra Firme mixed forest on clay oxisols of higher ground. Bioelement concentrations are also provided. The other two files contain climate data from a weather station in San Carlos village.",
"license": "proprietary"
},
@@ -142046,7 +142878,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751946587-ORNL_CLOUD.html",
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"description": "This data set contains three ASCII data files (.txt format), one for net primary production (NPP) component data and two for climate data. The NPP studies were conducted in a tropical montane forest in the Sierra de Merida at San Eusebio (8.62 N 71.35 W) in northwestern Venezuela. The forest is mostly primary in character, with some selective logging having taken place in the past. Biomass, litterfall, and nutrient content of above- and below-ground vegetation and soil were determined in 1973-1974.",
"license": "proprietary"
},
@@ -142059,7 +142891,7 @@
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"description": "This data set provides two data files in text format (.txt). One file contains biomass measurements and cumulative ANPP calculations made between 1977 and 1980 on a dry continental steppe at Shortandy Biological Station in Kazakhstan. The second file contains monthly and annual climate data for the study site for the period 1976-1980.Measurements of above- and below-ground live and dead matter were made at biweekly to monthly intervals during the growing season at Shortandy from 1977 to 1980. Cumulative ANPP estimates are calculated from these measurements. The study site is one of eight major grassland types of Eurasia which encompass an extremely wide climatic gradient in the direction of increasing maximum summer temperatures and continentality and decreasing precipitation in a north-west to the south-east band of steppes in the European and Asian parts of the former USSR (Commonwealth of Independent States). Shortandy represents the semiarid continental grass-forb steppe found on the southern chernozem soils of northern Kazakhstan. The site had annual mean maximum/minimum temperatures of 27.7/-24.6 degrees C and annual mean precipitation of 349.8 mm for the period 1976-1980. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1996. ",
"license": "proprietary"
},
@@ -142072,7 +142904,7 @@
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"description": "There are two data files with this data set in (.txt) format. The files contain net primary productivity (NPP) data and climate data for a mature tropical lowland rainforest at the La Selva Biological Station, Costa Rica. The La Selva forest reserve (10.43 N, 83.98 W) covers over 1,500 ha, of which 53% is primary forest and the rest is in various types of secondary forest and abandoned land.Above- and below-ground biomass, litterfall, root production, and nutrient content of different vegetation components and soils were determined in different areas of the biological station on different occasions between 1975 and 1994. Work has continued to the present day. Precipitation (1984-1997) and maximum/minimum temperature (1992-1997) were measured at the forest study site.NPP has not been completely estimated although detailed data on forest dynamics are available from a variety of published and unpublished sources. A crude minimum estimate of NPP for La Selva was obtained by summing the estimates of litterfall [850 g/m2/year predicted for average annual temperature and precipitation conditions at La Selva by the equation of Brown and Lugo (1982)] and unpublished data on root production (550-1,250 g/m2/year), giving a NPP range of about 1,400-2,100 g/m2/year.Revision Notes: The NPP data file has been revised to add additional root biomass estimates, correct temporal coverage of data series, correct parameter label for potassium concentration in leaf litterfall, and add additional References/Comments. Please see the Data Set Revisions section of this document for detailed information.",
"license": "proprietary"
},
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"description": "This data set contains two files (.txt format). One file provides ground-based biophysical measurements and above-ground net primary productivity (ANPP) estimates for 31 black spruce (Picea mariana) and 30 quaking aspen (Populus tremuloides) stands in Superior National Forest (SNF) in northeastern Minnesota, U.S.A. (-92 W 48 N). The measurements were obtained during a 1983-1984 intensive field campaign. Non-destructive measurements were made in over 100 forest plots covering a 50 x 50 km area. Trees sacrificed for biomass and annual increment measurements were taken outside the plots. The second file provides climate data from nearby weather stations for the period 1976-1986. The data set provides stand structural measurements (diameter at breast height, tree height, crown depth, and stem density), above-ground biomass, leaf area index, bark area index, and ANPP estimates. ANPP data are based on a combination of allometric relationships and annual tree-ring (radial) increments for the 5-year period 1979-1983. In the spruce stands, above-ground biomass ranged from 700-15,100 g/m2, LAI varied between 0.5-4.3, and ANPP ranged from 39-572 g/m2/yr. In comparison, above-ground biomass among aspen stands ranged from 600-22,000 g/m2, LAI varied between 1.3-4.0, and ANPP ranged from 213-1,199 g/m2/yr. The purpose of the SNF campaign was to investigate the ability of remote sensing to provide estimates of ecosystem biophysical properties. In addition to the results presented herein, satellite, aircraft, and helicopter observations and other ground measurements for the study sites are available from the ORNL DAAC Superior National Forest (SNF) Project web site [http://daac.ornl.gov/SNF/snf.shtml]. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1997. ",
"license": "proprietary"
},
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"description": "This data set contains two files (comma-separated-value format). One file provides components of net primary productivity, standing biomass, age and stand structure, and litterfall data for 11 stands of Scots pine (Pinus sylvestris) in the Tomsk Region of Russia (approx. 58 N 83 E). The second file contains data for the same types of variables for three stands of Scots pine in the Irkutsk Region of Siberia (approx. 53 N 103 E). Field measurements were made in 0.3-0.4 ha forest plots between 1968 and 1974. The forest plots range in age from 25 to 122 years old. Tree biomass was determined from volume and density measurements and selective harvest. Understory and ground cover was harvested in 0.25m2 plots. Root mass has determined from harvested trees and soil monoliths. Wood increment was measured from annual rings. Root production was based on species-specific turnover rates. Leaf litterfall was measured in 0.5-1.0 m2 traps, and branch litterfall was estimated from 4.0 m2 plots. Revision Notes: The NPP data file has been split into two files, one for the Tomask forests and one for the Irkutsk forests. The data files have been revised to rearrange columns, add a total ANPP column, and correct previously reported data, where needed. Please see the Data Set Revisions section of this document for detailed information. The Net Primary Productivity (NPP) data collection contains field measurements of biomass, estimated NPP, and climate data for terrestrial grassland, tropical forest, temperate forest, boreal forest, and tundra sites worldwide. Data were compiled from the published literature for intensively studied and well-documented individual field sites and from a number of previously compiled multi-site, multi-biome data sets of georeferenced NPP estimates. The principal compilation effort (Olson et al., 2001) was sponsored by the NASA Terrestrial Ecology Program. For more information, please visit the NPP web site at http://daac.ornl.gov/NPP/npp_home.html.",
"license": "proprietary"
},
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"description": "This data set contains one data file (.csv format) that is known as the Terrestrial Ecosystem Model (TEM) data set. The data provide pool sizes and fluxes of carbon (C) and nitrogen (N) for 16 globally distributed field sites that represent a wide range of terrestrial biomes, tundra to tropical forest, but exclude wetlands. The net primary productivity (NPP) data were extracted from the literature. They were not previously widely available to the ecosystem modeling community in electronic form until this data set and additional NPP data sets were published by the ORNL DAAC. The data were used to calibrate the ecosystem process-based TEM. The TEM was developed by staff at the Ecosystem Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA, to estimate the spatial and temporal distribution of major carbon (C) and nitrogen (N) fluxes and pool sizes at continental to global scales (resolution: 0.5 degrees latitude x 0.5 degrees longitude). Eight of the TEM calibration sites are also included in the ORNL DAAC NPP data collection as individual site NPP data sets. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1999. ",
"license": "proprietary"
},
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"description": "This data set contains one text file (.csv format) that provides productivity data for four contrasting tundra vegetation types studied during 1982 near Toolik Lake in the northern foothills of the Brooks Range on the North Slope of Alaska (68.63 N 149.72 W). The vegetation types include a \"tussock\" tundra containing graminoids, deciduous shrubs, and evergreen shrubs; a \"shrub\" tundra dominated by deciduous willow shrubs; a \"heath\" tundra of evergreen shrubs; and a \"wet\" tundra site containing rhizomatous graminoids. The study sites were selected to represent extreme examples of the wide range of local plant growth forms in the region.Living above- and below-ground biomass were sampled on three occasions during the growing season using randomly located quadrats ranging in size from 10 cm x 20 cm to 50 cm x 50 cm. Production and biomass of most tissues were determined by harvest methods, with additional separate determinations of stem secondary growth and below-ground rhizome growth as components of net primary production (NPP). Elemental content of above-ground samples was analyzed. Production, biomass, and elemental content of roots were not determined. Leaf area index (LAI) was measured using a LI-COR leaf area meter.NPP, excluding fine roots, was estimated at 37, 99, 278, and 475 g/m2/year, at the heath, wet, tussock, and shrub sites, respectively. Inclusion of estimated production by roots increased these NPP figures to 140, 200, 430, and 780 g/m2/year, respectively. Leaf area index was similarly ranked.",
"license": "proprietary"
},
@@ -142137,7 +142969,7 @@
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"description": "This data set contains three ACSII files (.txt format). Two files contain above-ground biomass data for two ungrazed seashore meadow plots dominated by the saltmeadow rush Juncus gerardii at Tullgarnsnaset, near Stockholm, Sweden (approximately 59.20 N, 17.50 E). There is one file for each plot. The third data file contains monthly and annual climate data from weather station near Stockholm (59.4 N, 18.0 E) for the period 1951-1990. Measurements of above-ground live biomass and total dead matter were made approximately monthly from April 1968 to April 1969. Below-ground biomass was also measured, but the data are not reported in this data set. Annual above-ground net primary production (ANPP) was estimated by several calculation methods, including peak total live plus current dead matter; sum of species maxima (biomass + dead material); single square clippings; and variations of these equations. The rate of disappearance of dead material and mortality were also determined. Mean ANPP estimates ranged from 324 g/m2/yr (max live + dead) to 430 g/m2/yr (taken as the mean of the two sites accounting for disappearance of dead matter). ",
"license": "proprietary"
},
@@ -142150,7 +142982,7 @@
"bbox": "123, 46.1, 123, 46.1",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751944800-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751944800-ORNL_CLOUD.html",
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"description": "This data set contains four ASCII files (.txt format). Three files contain monthly above- and below-ground biomass data, one data file for each cold meadow steppe studied from 1981 to 1990 at Tumugi, Xingan League, in eastern Inner Mongolia, China (approximately 46.10 N 123.00 E Elevation 191 m). The fourth file contains climate data recorded at a weather station located in the study area for the length of the study.The Tumugi study sites consist of three different natural steppes dominated by Filifolium sibiricum, Stipa baicalensis, and Leymus chinense, respectively. Measurements of above- and below-ground live biomass were made monthly throughout the growing season (March to November) by clipping 1.0 m2 quadrats and sampling 1.0 m2 soil pits to a depth of 1.0 m, respectively. The study areas had been protected from grazing since 1976.Above-ground net primary productivity (ANPP) was estimated at 155 g/m2/year (average for the three steppes, based on peak above-ground living biomass). Peak live below-ground biomass was used to estimate below-ground net primary productivity (BNPP): 968 g/m2/year for the F. sibiricum steppe; 983 g/m2/year the Stipa baicalensis steppe; and 1,022 g/m2/year for the L. chinense steppe. Above- and below-ground biomass data were compared with simulation results from the CENTURY model. Simulated data agreed reasonably well with the observed data (within +25%). ",
"license": "proprietary"
},
@@ -142163,7 +142995,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751939819-ORNL_CLOUD.html",
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"description": "This data set provides two data files in text format (.txt). One file contains tri-monthly measurements of above-ground biomass made during the growing season between July 1982 and August 1990 on a dry, cold Eurasian steppe dominated by Stipa grandis at the Tumentsogt Research Station in Mongolia. The second file contains monthly and annual climate data recorded at the study site from 1963 through 1983. Mongolian steppes occupy a major part of eastern Mongolia and northern China and are characterized climatically by low mean annual rainfall and temperature, with a highly seasonal pattern in both. The beginning of spring rainfall and warming are strongly correlated, and the onset of the growing season rainfall triggers the green-up in the region. Land use is dominated by grazing, historically by nomadic pastoralists and more recently for cooperative livestock production. Privatization of grazing land and cropland conversions have been increasing since 1990. Ecosystem degradation such as deterioration of vegetation (e.g., vegetation removal and replacement) and soil (e.g., erosion) is becoming widespread. Peak above-ground biomass at Tumentsogt occurs during a short rainy season (June-August). The amount of biomass fluctuates from year-to-year coherently with rainfall variation. Above-ground net primaryp roductivity (ANPP) estimates are relatively low in comparison to other temperate grasslands, ranging from 72 to 160 g/m2/yr. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1996.",
"license": "proprietary"
},
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"description": "This data set contains documented field measurements of NPP components for 39 old-growth tropical forests distributed worldwide between latitudes 23.58 N and 23.58 S. The data were compiled from published literature and other extant sources. The data are georeferenced to each intensive study site and include above- and below-ground biomass, fine root biomass, litterfall, branchfall, above-ground biomass increment, and herbivory estimates, where available. Other site characteristics are included, such as elevation, forest type and age, soil type, and climate summaries. Key references are provided. Estimates of above-ground net primary productivity (ANPP) for the 39 sites were made based on the sum of (1) measured or estimated above-ground biomass increment, (2) measured or estimated fine litterfall accumulation, (3) estimated losses to consumers, and (4) estimated biogenic volatile organic compound emissions. Estimates of below-ground NPP were made based on professional judgment that below-ground production is 0.2 x ANPP (lower bounds) or 1.2 x ANPP (upper bounds). TNPP was calculated as the range between the low and high values of ANPP + BNPP. Average BNPP and TNPP estimates were also calculated. Across the broad spectrum of the tropical forests studied (dry to wet, lowland to montane, nutrient-rich to nutrient-poor soils), the estimates of total NPP range from 3.4 to 34.4 Mg/ha/yr (lower bounds) and from 6.2 to 63.0 Mg/ha/yr (upper bounds). There is one comma-separated data file (.csv) with this data set. The ORNL DAAC [http://daac.ornl.gov] NPP Collection for tropical forests contains additional biomass and NPP component estimates and climate data for 28 of the intensive study sites in this data set. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001. ",
"license": "proprietary"
},
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"description": "This data set provides two data files in text format (.txt). One file contains biomass measurements and cumulative ANPP estimates made between 1978 and 1985 at an ultracontinental steppe at the Tuva Research Station in Russia. The second file contains monthly and annual climate data for the study site for 1976-1985.Monthly measurements of above-ground live phytomass, standing dead, and litter biomass were made during each growing season (May-August) of the eight-year study period. Harvests of below-ground biomass were made at the end of the growing season in some years. A year-end measurement of above-ground biomass (particularly standing dead and litter) was also made in 1980. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1996. ",
"license": "proprietary"
},
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"description": "This data set provides seven data files in text format (.txt). The files provide biomass estimates, soil carbon (C), nitrogen (N), and phosphorus (P) measurements made at an artificially-established grassland savanna study site in Towoomba, South Africa. The study site was part of a long-term experiment to test the effect of fertilizer application. Biomass data are available for the years 1950-1981 (data are not available for 1976 or 1977); soil C, N, and P data are available for the years 1949, 1962, 1980, and 1990. The 1949 estimates were inferred in 1990 from undisturbed savanna adjacent to the experiment. The savanna-fertilizer experiment was several hectares in extent, with five levels of nitrogen and three levels of phosphorus laid out in a randomized block design on an area from which all trees were removed. The ammonium sulphate and superphosphate fertilizers were added during November (50% of total), January (25%) and February (25%). The response to N fertilizer saturated at higher levels, so data from only six (3 x 2) of the 15 possible treatment combinations are provided.Above-ground biomass was sampled by mowing to 5-cm height. It was assumed that 50 g/m2 was left in the field, plus an additional 5% of the mowed dry weight. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published. ",
"license": "proprietary"
},
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"description": "This data set contains one data file in comma-delimited (.csv format) that provides observations from Australia for use in parameterizing the Vegetation and Soil-carbon Transfer (VAST) Model (version 1.1). The observations include net primary productivity (NPP), biomass, litter mass, surface horizon soil carbon concentration (i.e., mass fraction) and bulk density, and soil carbon and bulk density measurements at various depths. The data consist of 33 estimates of above-ground NPP based on cut grass swards and visual assessment of growth, 150 measurements of litterfall (leaf and fine twig), 76 measurements of above-ground biomass (phytomass), 91 determinations of fine litter mass, 341 measurements of soil carbon concentration in surface layers (to 15 cm depth), and 50 determinations of soil bulk density (to 15 cm depth). All these data were derived from 174 original literature references describing study sites throughout Australia. VAST is a conceptual carbon (C) cycle model that depicts large scale dynamics of terrestrial C pools and the net exchange of C between the land surface and the atmosphere at a resolution of 0.05 degrees. The model consists of 10 C pools comprising two above-ground biomass pools, two litter pools, and three pools each of below-ground biomass and soil C. Below-ground pools are distributed among three soil layers (0-20, 20-50, and 50-100 cm). Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751942556-ORNL_CLOUD.html",
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"description": "This data set contains four data files in text format (.txt). Three files provide above- and below-ground productivity data for three derived savannas on the Vindhyan plateau in northern India from 1986 to 1989, one file for each of three treatments. Each study site (Ranitali, Hathinala, Telburva) contains three treatment areas: ungrazed; grazed annually for 30-40 years; and grazed but temporarily fenced for 2-6 years prior to the study. The fourth file provides climate data from a weather station at Daltonganj, India, for the period 1893-1990. Monthly dynamics of above- and below-ground biomass were measured by harvest methods in each treatment area at each site for two annual cycles (1986/1987 and 1987/1988). Additional above-ground peak biomass data (live shoot + dead shoot) for October 1988 from ungrazed and grazed plots represent the 1988/1989 annual cycle.Annual above-ground net primary production (ANPP) was estimated using trough-peak analysis of increments in live biomass, standing dead matter, and litter. Annual below-ground production (BNPP) was estimated from biomass increments combined with root in-growth studies. Mean ANPP for the ungrazed treatment areas on the three sites ranged from 377 to 664 g/m2/yr over the 1986 to 1989 period. Mean BNPP in the same areas was estimated at 510 and 727 g/m2/yr for 1986/1987 and 1987/1988, respectively. Mean total ungrazed NPP (ANPP + BNPP) was estimated at 1,082 and 1,391 g/m2/yr for 1986/1987 and 1987/1988, respectively.Revision Notes: The NPP data for the temporarily fenced grassland sites for the 1987/1988 annual cycle have been revised to correct previously reported BNPP estimates. Please see the Data Set Revisions section of this document for detailed information. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2755668925-ORNL_CLOUD.html",
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"description": "This data set contains five data files, in comma-separated format (.csv), derived from the Walker Branch Watershed (WBW) vegetation inventory in eastern Tennessee. Field studies of permanent vegetation plots were conducted using one sampling design over a 40-year period (1967 to 2006). The data set contains long-term measurements of diameter at breast height (DBH) determined on stratified randomly-located inventory plots within the 4 different vegetation types (oak-hickory, pine-oak-hickory, pine, and mesophytic hardwoods) located in the WBW in 1967. The WBW plot-level vegetation DBH data are provided in four files. One file contains the complete set of inventory records (139,806 observations). To accommodate spreadsheet use, the complete inventory is split into three files, one containing 52,110 observations and the other two containing 48,231 and 39,465 observations, respectively. The fifth file contains the WBW vegetation species inventory with species names, the numeric species code for each species, a species group designation, the scientific name for each species, and the literature-derived ratio of g lignin/g N for leaves of each species. NPP values have been reported for various forest stands at different locations within the WBW by Olson et al. (2012a, b; DeAngelis et al. (1997); and Esser (1998). Total NPP values range from 380 gC/m2/yr for forest stands dominated by yellow poplar to 790 gC/m2/yr for forest stands dominated by oaks. Revision Notes: This updated vegetation inventory data set includes results of the 2006 survey and updates to previous results based on the latest survey. The 1967-2006 data set completely supersedes the 1967-1997 data set. If you downloaded the 1967-1997 data set before September 3, 2013, you should download the 1967-2006 version at your earliest convenience.",
"license": "proprietary"
},
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"description": "There are two data files (tab-delimited .txt format) with this data set that provide estimates of above-ground biomass per county; county-level annual above-ground biomass growth, removals (harvest), and mortality of woody biomass per hectare; county-level total annual above-ground woody biomass production per hectare; forest area per county; mortality (%) in forests within each county; and total annual production and mortality per county. The data provide annual mean above-ground wood increments for temperate forests in 1,956 counties of the 28 eastern US states. The data are derived from forest inventory data from 1960s to 1990s that were collected from an extensive network of permanent inventory plots as part of the US Department of Agriculture Forest Service Forest Inventory and Analysis (FIA). Based on the analysis of the above-ground production data (Brown and Schroeder, 1999), above-ground production of woody biomass (APWB) for hardwood forests ranged from 0.6 to 28 Mg/ha/yr and averaged 5.2 Mg/ha/yr. For softwood forests, APWB ranged from 0.2 to 31 Mg/ha/yr and averaged 4.9 Mg/ha/yr. APWB was generally highest in southeastern and southern counties, mostly along an arc from southern Virginia to Louisiana and eastern Texas. No clear spatial pattern of mortality of woody biomass (MWB) existed, except for a distinct area of high mortality in South Carolina as a result of Hurricane Hugo in 1989. For hardwood forests, MWB ranged from 0 to 15 Mg/ha/yr and averaged 1.1 Mg/ha/yr. The average MWB for softwood forests was 0.6 Mg/ha/yr with a range of 0 to 10 Mg/ha/yr. The rate of above-ground MWB averaged <1%/yr for both hardwood and softwood forests. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2003. ",
"license": "proprietary"
},
@@ -142267,7 +143099,7 @@
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"description": "This data set provides two data files in text format (.txt). One file contains bi-weekly measurements of above-ground live biomass recorded during the growing season (early May to early October) from 1980 through 1989 on a cold desert steppe at the Inner Mongolia Grassland Research Station of the Chinese Academy of Sciences within the Xilingol Biosphere Reserve. The second file contains monthly and annual climate data recorded at the study site from 1978 through 1989. The study site contains grassland steppes of Leymus chinense and Stipa grandis which are the dominant vegetation types, respectively, in the Eastern Eurasian steppe zone (semi-arid and sub-humid) and the middle Eurasian steppe zone (semi-arid). Both steppes provide good livestock forage and are used mainly as natural grazing lands. Above-ground net primary production (ANPP) was estimated by summing peak live biomass of each of 5 species categories. Peak live biomass of L. chinense steppe occurred between late July and late August and averaged 182.68 g/m2 between 1980 and 1988 while that of S. grandis steppe occurred in mid August to early September and averaged 144.43 g/m2 over the same time period. Mean ANPP for L. chinense steppe during 1980-1989 was 248.63 g/m2/yr. ANPP for S. grandis steppe was not calculated. Data are only provided for the Leymus chinense steppe in this data set.Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1996. ",
"license": "proprietary"
},
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"description": "The BigFoot project gathered Net Primary Production (NPP) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2004. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. BigFoot was funded by NASA's Terrestrial Ecology Program.For more details on the BigFoot Project, please visit the website: http://www.fsl.orst.edu/larse/bigfoot/index.html.",
"license": "proprietary"
},
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"description": "Measurements taken in the Blue Water Zone (BWZ) under NSF funding near Antarctica and Drakes Passage in 2004 to 2006.",
"license": "proprietary"
},
@@ -143346,7 +144178,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1719969318-OB_DAAC.html",
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"description": "Collaborative Research: A RAPID response to Hurricane Harvey's impacts on coastal carbon cycle, metabolic balance and ocean acidification.",
"license": "proprietary"
},
@@ -143363,6 +144195,45 @@
"description": "This data set provides daily gridded brightness temperatures derived from passive microwave sensors and distributed in a polar stereographic projection. NSIDC produces daily gridded brightness temperatures from orbital swath data generated by the Special Sensor Microwave/Imager (SSM/I) aboard the Defense Meteorological Satellite Program (DMSP) F8, F11, and F13 platforms and the Special Sensor Microwave Imager/Sounder (SSMIS) aboard DMSP F17 and F18. The SSM/I and SSMIS channels used to calculate brightness temperatures include 19.3 GHz vertical and horizontal, 22.2 GHz vertical, 37.0 GHz vertical and horizontal, 85.5 GHz vertical and horizontal (on SSM/I), and 91.7 GHz vertical and horizontal (on SSMIS). Data at 85.5 GHz and 91.7 GHz are gridded at a resolution of 12.5 km, with all other frequencies at a resolution of 25 km. Orbital data for each 24-hour period are mapped to respective grid cells using a simple sum-and-average method, also known as the drop-in-the-bucket method. Data coverage began on 09 July 1987 and is ongoing through the most current processing, with updated data processed several times annually.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0020_1",
+ "title": "Coordinated Eastern Arctic Experiment (CEAREX) Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1988-03-01",
+ "end_date": "1989-05-31",
+ "bbox": "-30, 60, 30, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206955-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206955-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0020_1",
+ "description": "CEAREX was a multi-platform field program conducted in the Norwegian Seas and Greenland north to Svalbard from September 1988 through May 1989. Canada, Denmark, France, Norway and the United States participated in the experiment.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0026_1",
+ "title": "AVHRR Leads-ARI Polar Gridded Brightness Temperatures, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1988-01-01",
+ "end_date": "1989-12-31",
+ "bbox": "-180, 60, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386246913-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386246913-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/NSIDC-0026_1",
+ "description": "This data set consists of AVHRR imagery selected from hard copy 'quick look' images to provide the best coverage possible over the Arctic approximately every three days for a three-year period. Level-1B data from NOAA/SDSD have been calibrated and mapped to earth locations, then gridded to 1 km pixels on a basin scale to the polar stereographic projection. The projection is similar to that used by NSIDC to produce DMSP SSM/I polar brightness temperature and sea ice products. Each image was ranked for areal coverage of particular seas and for degree of cloud coverage. Passes covering a large area are generally favored over shorter passes with less cloud cover. The data set was developed in support of the Office Of Naval Research Arctic Leads Accelerated Research Initiative (Arctic Leads ARI). The aim of the Initiative was to develop a more thorough understanding of the oceanography, meteorology, and ice dynamics surrounding formation and evolution of leads in sea ice. The leads ARI field experiment took place from March to April 1992. A spreadsheet containing the image rankings is available in hard copy (NOARL Tech. Note 118, April 1991); paper copies of the spreadsheet are available on request. Data set information is available on-line. Data are available via FTP.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0033_1",
+ "title": "Arctic Water Vapor Characteristics from Rawinsondes, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1954-01-01",
+ "end_date": "1991-12-31",
+ "bbox": "-180, 65, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386246952-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386246952-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/NSIDC-0033_1",
+ "description": "A gridded climatological monthly-mean data base of Arctic water vapor characteristics has been assembled by combining fixed station data with data from soundings taken over the Arctic Ocean from ships and Russian drifting stations. Variables provided include temperature, specific humidity, zonal vapor flux, meridional vapor flux, zonal wind speed, and meridional wind speed, available for 15 pressure levels extending from the surface (1,000 mb) to 300 mb. Sea level pressure and geopotential height are provided for the 850 mb, 700 mb, 500 mb and 300 mb levels. Precipitable water, vertically integrated zonal vapor flux and vertically integrated meridional vapor flux are available for five layers: surface to 850 mb, 850 to 700 mb, 700 to 500 mb, 500 to 400 mb and 400 to 300 mb. Coverage of the rawinsonde archives extends from 1954 through 1990 for data from the Russian North Pole series of drifting ice stations over the Arctic Ocean; from 1976 through 1991 for fixed-station data obtained from the National Center for Atmospheric Research; and from about 1958 through 1991 for fixed-station data obtained from the Historical Arctic Rawinsonde Archive. All variables were obtained through interpolation of the raw sounding data, with the exception of sea level pressure and geopotential height. The files are structured in monthly data arrays over a subsection of the National Meteorological Center grid (octagonal grid format) centered over the pole, extending to approximately 65 degrees North on each side and about 55 degrees North at the corners.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0051_2",
"title": "Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data V002",
@@ -143376,6 +144247,58 @@
"description": "This data set is generated from brightness temperature data and is designed to provide a consistent time series of sea ice concentrations spanning the coverage of several passive microwave instruments.The data are provided in the polar stereographic projection at a grid cell size of 25 x 25 km. Data coverage began on 26 October 1978 and is ongoing through the most current processing, with updated data processed several times annually.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0052_1",
+ "title": "Digital SAR Mosaic and Elevation Map of the Greenland Ice Sheet, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1991-01-01",
+ "end_date": "1995-12-31",
+ "bbox": "-73, 60, -10, 84",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206960-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206960-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0052_1",
+ "description": "The Digital SAR Mosaic and Elevation Map of the Greenland Ice Sheet combines the most detailed synthetic aperture radar (SAR) image mosaic available with the best current digital elevation model. The mosaic image shows both the location of the ice edge and the distribution of melt-related 'scatterers' on the surface. These scatterers include ice lenses and complex layered structure in the percolation zone and bare ice of the ablation zone. Other melt-related features that can be seen include lake and surface meltwater stream channels at lower elevations, as well as ice-marginal lakes. This characterization of the ice sheet provides a reference against which future change can be measured. Changing conditions resulting from climatic variation should show up as changes in the ice margin and shifts in the hydrologic zones. It is hoped that the standard reference provided by this data set can facilitate activities aimed at change detection and promote other work aimed at understanding the processes operating on the ice sheet. The image data are derived from SAR image swaths acquired by the ERS-1 satellite during August of 1992. The mosaic was assembled at the Jet Propulsion Laboratory (JPL) and Goddard Space Flight Center (GSFC). Its component images are a copyrighted product of the European Space Agency. The mosaic, a value-added derived product, is available to individuals and non-profit organizations for research oriented purposes only. The Danish geodetic and cadastral agency Kort-og Matrikelstyrelsen (KMS) compiled the elevation data provided with the product from a number of sources, including field surveys, aerial photographs, and the ERS-1 radar altimeter.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0057_1",
+ "title": "Comprehensive Ocean - Atmosphere Data Set (COADS) LMRF Arctic Subset, 1950 - 1995, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1950-01-01",
+ "end_date": "1995-12-31",
+ "bbox": "-180, 65, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205520538-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205520538-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0057_1",
+ "description": "The Comprehensive Ocean - Atmosphere Data Set (COADS) Long Marine Reports Fixed-Length (LMRF) Arctic subset contains marine surface weather reports for regions north of 65 degrees N from ships, drifting ice stations, and buoys. The COADS LMRF Arctic subset contains data collected over the years 1950 to 1995 and includes the following parameters: air and sea temperature, cloudiness, humidity, and winds. The data are in the form of individual marine reports with a given latitude and longitude.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0060_1",
+ "title": "Daily Arctic Ocean Rawinsonde Data from Soviet Drifting Ice Stations, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1954-04-19",
+ "end_date": "1990-07-31",
+ "bbox": "-180, 70, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206963-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206963-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0060_1",
+ "description": "This archive of daily rawinsonde measurements of wind direction and speed, atmospheric pressure, humidity, air temperature, and geopotential height as well as surface-based observation of cloud cover (amount, type and height) from Soviet North Pole drifting stations was assembled under the direction of Dr. J. Kahl, with funding from the National Oceanic and Atmospheric Administration, the National Science Foundation, and the Electric Power Research Institute. Soundings were recorded from April 19, 1954 to July 31, 1990 at drifting stations located in the Arctic Ocean, north of approximately 70 degrees North. Data were obtained from several different sources. All of these data are ultimately derived from the set of bound volumes of handwritten tables kept at the Arctic and Antarctic Research Institute (AARI) in St. Petersburg, Russia. Data are in 21 ASCII text format files with an average size of under 10 MB.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0063_1",
+ "title": "Global Annual Freezing and Thawing Indices, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1920-01-01",
+ "end_date": "1980-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206964-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206964-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBjb3ZlcmVkIGFyZWEgZm9yIHRoZSBzdGF0ZSBvZiBhbGFza2EsIDE5ODUtMjAyMCwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMTAwNDBcIixcIjFcIiwyMjQ1MjY2MzIzLDcwXSIsInVtbSI6IltcImdsYWNpZXIgY292ZXJlZCBhcmVhIGZvciB0aGUgc3RhdGUgb2YgYWxhc2thLCAxOTg1LTIwMjAsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzEwMDQwXCIsXCIxXCIsMjI0NTI2NjMyMyw3MF0ifQ%3D%3D/NSIDC-0063_1",
+ "description": "The total annual freezing and thawing indices are defined as the cumulative number of degree-days when air temperatures are below and above zero degrees Celsius. The total annual freezing index has been widely used to predict permafrost distribution; estimate the maximum thickness of sea, lake, and river ice, and the maximum depth of ground-frost penetration; and classify snow types. The annual total thawing index has been used to predict permafrost distribution and to estimate the maximum depth of thaw in frozen ground. Both total freezing and thawing indices are important parameters for engineering design in cold regions. Data coverage is global. The data set contains the total annual freezing and thawing indices with a spatial resolution of 0.5 degrees latitude by 0.5 degrees longitude. Two data files are available, for the freeze and thaw indices respectively, in flat binary format. Each file is approximately 1 MB in size. The total annual freezing and thawing indexes were calculated based upon the monthly mean air temperature by Legates and Willmott (1990).",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0070_1",
"title": "Antarctic Ice Velocity Data",
@@ -143402,6 +144325,32 @@
"description": "This data set consists of brightness temperatures acquired from the Scanning Multichannel Microwave Radiometer (SMMR) on board the Nimbus-7 Pathfinder satellite. The brightness temperatures are gridded onto the Equal-Area Scalable Earth Grid (EASE-Grid) and are presented in three different projections: Northern Hemisphere, Southern Hemisphere, and global.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0075_1",
+ "title": "GEOSAT Radar Altimeter DEM Atlas of Antarctica North of 72.1 degrees South, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1985-04-01",
+ "end_date": "1986-09-30",
+ "bbox": "-180, -72, 180, -65",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386207005-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386207005-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0075_1",
+ "description": "The Antarctic atlas consists of 28 digital elevation maps which cover all of Antarctica north of 72.1 degrees south at a resolution of three kilometers. Each map contains surface elevations and coordinates for one atlas page covering 16 degrees of longitude. Data were acquired by the Geodetic Satellite (GEOSAT) Geodetic Mission (GM) from March 1985 through September 1986 and are available in both Universal Transverse Mercator (UTM) coordinates, and in latitude and longitude coordinates. Data were mapped using the UTM projection in atlas form to decrease the distortion that usually occurs at the poles. Many features of the Antarctic Ice Sheet are shown in more detail than in previous digital elevation models, especially along the margin of the East Antarctic Ice Sheet. A geostatistical mapping technique (Herzfeld et al. 1993) improved the accuracy of surface elevations compared to previous GEOSAT elevation data sets. This atlas will facilitate the monitoring of changes in surface elevation that could indicate mass changes in the Antarctic Ice Sheet.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0076_1",
+ "title": "Antarctic 5-km Digital Elevation Model from ERS-1 Altimetry, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1994-03-01",
+ "end_date": "1995-05-31",
+ "bbox": "-180, -81, 180, -65",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386207013-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386207013-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/NSIDC-0076_1",
+ "description": "This data set provides a Digital Elevation Model (DEM) for Antarctica to 81.5 degrees south latitude, at a resolution of 5 km. Approximately twenty million data points were used to generate this data set. Data points were derived from ERS-1 radar altimetry during the geodetic phase from March 1994 to May 1995.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0077_2",
"title": "Nimbus-5 ESMR Polar Gridded Brightness Temperatures V002",
@@ -143424,7 +144373,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2794540918-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2794540918-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MDBdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MDBdIn0%3D/NSIDC-0079_4",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MDJdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MDJdIn0%3D/NSIDC-0079_4",
"description": "This sea ice concentration data set was derived using measurements from the Scanning Multichannel Microwave Radiometer (SMMR) on the Nimbus-7 satellite and from the Special Sensor Microwave/Imager (SSM/I) sensors on the Defense Meteorological Satellite Program's (DMSP) -F8, -F11, and -F13 satellites. Measurements from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard DMSP-F17 are also included. The data set has been generated using the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) Bootstrap Algorithm with daily varying tie-points. Daily (every other day prior to July 1987) and monthly data are available for both the north and south polar regions. Data are gridded on the SSM/I polar stereographic grid (25 x 25 km) and provided in two-byte integer format. Data coverage began on 01 November 1978 and is ongoing through the most current processing, with updated data processed several times annually.",
"license": "proprietary"
},
@@ -143437,7 +144386,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519306057-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519306057-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDgzMF0iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODMwXSJ9/NSIDC-0080_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDgzM10iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODMzXSJ9/NSIDC-0080_2",
"description": "The Near-Real-Time DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperature product provides near-real-time polar stereographic gridded daily brightness temperatures for both the Northern and Southern Hemispheres.",
"license": "proprietary"
},
@@ -143450,10 +144399,23 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2176562253-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2176562253-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDgzMF0iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODMwXSJ9/NSIDC-0081_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDgzM10iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODMzXSJ9/NSIDC-0081_2",
"description": "This data set provides a Near-Real-Time (NRT) map of sea ice concentrations for both the Northern and Southern Hemispheres.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0092_1",
+ "title": "Greenland 5 km DEM, Ice Thickness, and Bedrock Elevation Grids, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1970-01-01",
+ "end_date": "1999-12-31",
+ "bbox": "-72, 60, -15, 84",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250156-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250156-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIiwidW1tIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIn0%3D/NSIDC-0092_1",
+ "description": "A Digital Elevation Model (DEM), ice thickness grid, and bedrock elevation grid of Greenland, acquired as part of the PARCA program. DEM data are a combination of ERS-1 and Geosat satellite radar altimetry data, Airborne Topographic Mapper (ATM) data, and photogrammetric digital height data. Ice thickness data are based on approximately 700,000 data points collected in the 1990s from a University of Kansas airborne Ice Penetrating Radar (IPR). Nearly 30,000 data points were collected in the 1970s from a Technical University of Denmark (TUD) airborne echo sounder.The ice thickness grid was subtracted from the DEM to produce a grid of bedrock elevation values. Data set applications include studies of gravitational driving stress and ice volume (mass balance) of the Greenland Ice Sheet.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0093_1",
"title": "Central West Antarctic Glaciochemistry from Ice Cores",
@@ -143506,6 +144468,396 @@
"description": "This data set is the result of a study of volcanic ash and rock fragment (tephra) layers in exposed blue ice areas on Mt. DeWitt, Antarctica (77.12 deg S, 159.51 deg E). Tephra samples were collected between 15 November 1996 and 15 January 1997. Data include the following information for each sample site: a general description, electron microprobe analysis, GPS location, neutron activation analysis, and a visual description of the petrography. Data are provided as an Excel 97 data file, (this file is also divided into various text files) and TIF images. Data are available via ftp. Antarctic ice sheets preserve a record of the volcanic ash layers and chemical aerosol signatures of local and distant volcanic eruptions. Correlation of individual tephra layers, or sets of layers, in blue ice areas will allow a better understanding of the geometry of ice flow in these areas. Tephra layers in deep ice cores can also provide unique time-stratigraphic markers in cores that are difficult to date.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0118_1",
+ "title": "DISP Yearly Satellite Photographic Mosaics of Greenland 1962-1963, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1962-05-15",
+ "end_date": "1963-10-31",
+ "bbox": "-75, 58, -10, 84",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250176-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250176-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0118_1",
+ "description": "The Declassified Intelligence Satellite Photographs (DISP) Yearly Satellite Photographic Mosaics of Greenland are composites of black-and-white photographs of Greenland taken from American satellites in 1962 and 1963. The mosaics provide details of ice sheet morphology, glaciers, rock outcrops, the coastline, and other features. The image mosaics are useful for comparing the extent and internal configuration of the Greenland ice sheet with current satellite data. The data set consists of one tagged image file (.TIF) for each year. The files are large-- the 1962 mosaic image dimensions are 17,092 by 28,484 pixels and the file size is 464.3 MB. The 1963 image dimensions are 17,792 by 27,805 pixels and the file size is 471.8 MB.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0144_1",
+ "title": "CLPX-Satellite: SSM/I Brightness Temperature Grids, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-01",
+ "end_date": "2003-05-31",
+ "bbox": "-108.5, 38.5, -104, 42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250192-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250192-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0144_1",
+ "description": "This data set includes Defense Meteorological Satellite Program (DMSP) F-13 passive microwave brightness temperatures gridded to the geographic (lat/long) and UTM grids of the Cold Land Processes Field Experiment (CLPX) Large Regional Study Area (LRSA).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0145_1",
+ "title": "CLPX-Satellite: AMSR-E Brightness Temperature Grids, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-02-01",
+ "end_date": "2003-05-31",
+ "bbox": "-108.5, 38.5, -104, 42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386208442-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386208442-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0145_1",
+ "description": "This data set includes Aqua Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) passive microwave brightness temperatures gridded to the geographic (lat/long) and UTM grids of the Large Regional Study Area (LRSA) of the NASA Cold Land Processes Field Experiement (CLPX).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0148_1",
+ "title": "CLPX-Satellite: EO-1 Hyperion Surface Reflectance, Snow-Covered Area, and Grain Size, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-15",
+ "end_date": "2002-03-19",
+ "bbox": "-106, 39.6, -105.7, 40.3",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386208452-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386208452-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0148_1",
+ "description": "This data set consists of apparent surface reflectance, subpixel snow-covered area, and grain size collected from the Hyperion hyperspectral imager. The Hyperion imager has a spectral range of 400-2500 nm, a spectral resolution of 10 nm, spatial resolution of 30 m, and a swath width of 7.8 km. Sampling is scene based (256 samples, 512 lines).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0149_1",
+ "title": "CLPX-Satellite: Landsat Thematic Mapper Imagery, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2001-11-10",
+ "end_date": "2003-01-09",
+ "bbox": "-107.23799, 39.34853, -104.51927, 41.3098",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386256658-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386256658-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0149_1",
+ "description": "This data set consists of Landsat thematic mapper imagery collected over the Cold Land Processes Field Experiment (CLPX) Large Regional Study Area (LRSA), located between 38.5-42 N and 104-108.5 W. Data consist of Level 1G imagery products (radiance) that have been radiometrically and geometrically corrected.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0150_1",
+ "title": "CLPX-Satellite: Multi-angle Imaging Spectroradiometer (MISR) Products, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-15",
+ "end_date": "2003-05-15",
+ "bbox": "-108.5, 38.5, -104, 42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203797-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203797-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0150_1",
+ "description": "This data set includes Level-1B2 georectified terrain, Level-2 land surface, and an ancillary geographic product for the Large Regional Study Area (LRSA) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado and southern Wyoming.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0151_1",
+ "title": "CLPX-Satellite: MODIS Radiances, Reflectances, Snow Cover and Related Grids, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-15",
+ "end_date": "2003-05-15",
+ "bbox": "-108.5, 38.5, -104, 42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250201-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250201-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0151_1",
+ "description": "This data set provides Moderate Resolution Imaging Spectroradiometer (MODIS) data as part of the Cold Land Processes Field Experiment (CLPX). Parameters include radiances, surface reflectance, snow cover, land surface temperature/emissivity, and vegetation indices.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0152_1",
+ "title": "CLPX-Satellite: AVHRR/HRPT Brightness Temperatures and Reflectances, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2001-11-09",
+ "end_date": "2003-06-26",
+ "bbox": "-108.55, 38.45, -103.95, 42.05",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203814-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203814-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0152_1",
+ "description": "This data set includes AVHRR/HRPT (Advanced Very High Resolution Radiometer/High Resolution Picture Transmission) brightness temperatures and reflectances over the NASA Cold Land Processes Field Experiment (CLPX) Large Regional Study Area (LRSA).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0153_1",
+ "title": "CLPX-Airborne: Airborne Synthetic Aperture Radar (AIRSAR) Imagery, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-19",
+ "end_date": "2003-03-30",
+ "bbox": "-106.7, 39.9, -105.9, 40.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203823-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203823-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/NSIDC-0153_1",
+ "description": "Airborne Synthetic Aperture Radar (AIRSAR) is a side-looking imaging radar that is able to collect data irrespective of daylight or cloud cover. The AIRSAR instrument operated in two modes over each Cold Land Processes Field Experiment (CLPX) Meso-cell Study Area (MSA). In the first mode (POLSAR), polarimetric radar data were collected at P-, L-, and C-bands. In the second mode (TOPSAR), cross-track interferometry data were collected at C- and L-bands.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0154_1",
+ "title": "CLPX Airborne: Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-19",
+ "end_date": "2002-04-08",
+ "bbox": "-107, 39.7, -105.5, 41",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203832-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203832-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/NSIDC-0154_1",
+ "description": "This data set consists of apparent surface reflectance, subpixel snow-covered area and grain size inferred from data acquired by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0155_1",
+ "title": "CLPX-Airborne: Multiband Polarimetric Scanning Radiometer (PSR) Imagery, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-19",
+ "end_date": "2003-03-31",
+ "bbox": "-107.4, 39.6, -105.2, 41",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203844-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203844-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/NSIDC-0155_1",
+ "description": "This data set provides multiband polarimetric brightness temperature images over three 25 x 25 km mesoscale study areas (MSAs) in Northern Colorado.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0157_1",
+ "title": "CLPX-Airborne: Infrared Orthophotography and Lidar Topographic Mapping, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-04-08",
+ "end_date": "2003-09-19",
+ "bbox": "-107.5, 39.5, -105, 41",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203856-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203856-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/NSIDC-0157_1",
+ "description": "The data set consists of color infrared orthophotography (TerrainVision\u00ae - High resolution Topographic Mapping & Aerial Photography, with 6-inch pixel resolution), lidar elevation returns (raw/combined, filtered to bare ground/snow, and filtered to top of vegetation), elevation contours (0.5 meter) and snow depth contours (0.1 meter).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0158_1",
+ "title": "CLPX Airborne Gamma Snow and Soil Moisture Surveys, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2001-09-20",
+ "end_date": "2003-03-31",
+ "bbox": "-107.5, 39.5, -105, 41",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203867-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203867-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/NSIDC-0158_1",
+ "description": "Airborne gamma surveys were conducted over each of the three Cold Land Processes Field Experiment (CLPX) Meso-cell Study Areas (MSAs) in northern Colorado, USA, during September 2001 and 2002, and during the three Intensive Observation Periods (IOPs) in February 2002 (IOP1), February 2003 (IOP3) and March 2003 (IOP4). Data collected in September 2001 and 2002 provided background gamma radiation measurements necessary to calculate measurements of snow water equivalent (SWE) and soil moisture during subsequent winters.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0159_1",
+ "title": "CLPX-Airborne: Polarimetric Ku-Band Scatterometer (POLSCAT) Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-21",
+ "end_date": "2003-03-30",
+ "bbox": "-106.81694, 39.76694, -105.71694, 40.78361",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203879-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203879-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/NSIDC-0159_1",
+ "description": "This data set contains Ku-band polarimetric scatterometer (POLSCAT) data collected as part of the Cold Land Processes Field Experiment (CLPX) to enable the development of a retrieval algorithm for snow water equivalent (SWE).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0161_1",
+ "title": "CLPX-Ground: Ground-Based Infrared Images of the LSOS Site, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-18",
+ "end_date": "2003-03-30",
+ "bbox": "-105.8829, 39.9066, -105.8829, 39.9066",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250208-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250208-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0161_1",
+ "description": "This data set presents more than 400 sub-canopy digital thermograms collected at the Fraser Experimental Forest (Fraser, Colorado, USA) using an Infrared Solutions IR SnapShot\u2122 thermoelectric thermal infrared (IR) imaging radiometer that was cold-weather modified.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0164_1",
+ "title": "CLPX-Ground: Ground-Based Frequency Modulated Continuous Wave (FMCW) Radar, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-19",
+ "end_date": "2003-03-29",
+ "bbox": "-106.6788, 39.828, -105.7681, 40.6449",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203912-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203912-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0164_1",
+ "description": "This data set is comprised of FMCW radar measurements, which are sensitive to electromagnetic discontinuities in the snowpack made during the 2002 and 2003 Cold Land Processes Field Experiment (CLPX).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0165_1",
+ "title": "CLPX-Ground: Ground Based Passive Microwave Radiometer (GBMR-7) Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-01-19",
+ "end_date": "2003-03-29",
+ "bbox": "-105.9, 39.95, -105.9, 39.95",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203927-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203927-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0165_1",
+ "description": "This data set contains brightness temperature observations of the snow cover at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in Fraser, Colorado, USA.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0166_1",
+ "title": "CLPX-Ground: Ground-based L and Ku band polarimetric scatterometry, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-02-17",
+ "end_date": "2003-03-30",
+ "bbox": "-105.9, 39.95, -105.9, 39.95",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203934-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203934-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0166_1",
+ "description": "This data set includes ground-based radar observations carried out at the Fraser Experimental Forest Headquarters, Colorado, USA.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0167_1",
+ "title": "CLPX-Ground: University of Michigan Ground-Based Microwave Radiometer, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-03-24",
+ "end_date": "2003-04-02",
+ "bbox": "-105.883056, 39.903611, -105.883056, 39.903611",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203941-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203941-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0167_1",
+ "description": "This data set contains microwave radiometry data collected at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in Colorado, USA, during IOP4 (March-April 2003).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0168_1",
+ "title": "CLPX-Ground: Micrometeorological Data at the Local Scale Observation Site (LSOS), Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-11-06",
+ "end_date": "2003-05-29",
+ "bbox": "-105.88294, 0, 0, 39.90661",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203951-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203951-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0168_1",
+ "description": "This data set includes two sets of soil temperature profiles, two sets of soil moisture profiles, two sets of soil heat flux profiles (in dense pine and open pine areas), and one set of a snow temperature profile, air temperature, and relative humidity measurements. Measurements were made at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0169_1",
+ "title": "CLPX-Ground: Snow Measurements at the Local Scale Observation Site (LSOS), Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-22",
+ "end_date": "2003-03-30",
+ "bbox": "-105.9, 39.95, -105.9, 39.95",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203964-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203964-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0169_1",
+ "description": "This data set presents snow depth, snow water equivalence (SWE), snow wetness data, and snow pit data from two pine sites and a small clearing at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0170_1",
+ "title": "CLPX-Ground: Sub-Canopy Energetics at the Local Scale Observation Site (LSOS), Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2001-11-01",
+ "end_date": "2003-03-31",
+ "bbox": "-105.883, 39.9038, -105.883, 39.9038",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203972-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203972-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0170_1",
+ "description": "This data set consists of solar and longwave radiation data from beneath two pine canopies (one uniform, one discontinuous) at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0172_1",
+ "title": "CLPX-Ground: ISA Main Meteorological Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-09-20",
+ "end_date": "2003-10-01",
+ "bbox": "-107.5, 39.5, -105, 41",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250216-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250216-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0172_1",
+ "description": "This data set contains meteorological observations at ten sites throughout the Small Regional Study Area (SRSA) of the Cold Land Processes Field Experiment (CLPX) in Fraser, Colorado, USA.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0173_1",
+ "title": "CLPX-Ground: ISA Corner Site Meteorological Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-09-01",
+ "end_date": "2003-10-31",
+ "bbox": "-107.5, 39.5, -105, 41",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250221-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250221-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0173_1",
+ "description": "This data set contains meteorological observations at 36 sites throughout the Small Regional Study Area (SRSA) of the NASA Cold Land Processes Field Experiment (CLPX) in Colorado, USA.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0175_2",
+ "title": "CLPX-Ground: ISA Snow Depth Transects and Related Measurements, Version 2",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-19",
+ "end_date": "2003-03-31",
+ "bbox": "-108.5, 38.5, -104, 42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203993-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386203993-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0175_2",
+ "description": "This data set consists of snow depth data from nine study areas, within three larger-scale areas in northern Colorado (Fraser, North Park, and Rabbit Ears Meso-cell Study Areas (MSAs)). The study areas range from low-relief (flat topography) unforested areas with shallow snow covers, to high-relief (complex topography) densely forested areas with deep snow covers.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0176_2",
+ "title": "CLPX-Ground: ISA Snow Pit Measurements, Version 2",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-02-19",
+ "end_date": "2002-03-30",
+ "bbox": "-108.5, 38.5, -104, 42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204008-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204008-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0176_2",
+ "description": "This data set consists of snow pit data from nine study areas, within three larger-scale areas in northern Colorado (Fraser, North Park, and Rabbit Ears Meso-cell Study Areas (MSAs)). The study areas range from low-relief (flat topography) unforested areas with shallow snow covers, to high-relief (complex topography) densely forested areas with deep snow covers.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0178_1",
+ "title": "CLPX-Ground: ISA Soil Moisture Measurements, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2001-09-01",
+ "end_date": "2003-04-30",
+ "bbox": "-106.8, 39.8, -105.7, 40.8",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250228-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250228-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0178_1",
+ "description": "This data set consists of in-situ point measurements of soil moisture within three 25-km by 25-km Meso-cell Study Areas (MSAs) in northern Colorado (Fraser, North Park , and Rabbit Ears).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0179_1",
+ "title": "CLPX-Model: Local Analysis and Prediction System: 4-D Atmospheric Analyses, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2001-09-01",
+ "end_date": "2003-08-31",
+ "bbox": "-108.5, 38.5, -104, 42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250229-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250229-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0179_1",
+ "description": "The Local Analysis and Prediction System (LAPS), run by the NOAA's Forecast Systems Laboratory (FSL), combines numerous observed meteorological data sets into a collection of atmospheric analyses.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0180_1",
+ "title": "CLPX NOAA FSL Rapid Update Cycle 20 km (RUC-20) Dataset, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-09-30",
+ "end_date": "2003-09-30",
+ "bbox": "-126, 24, 66, 54",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250230-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250230-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/NSIDC-0180_1",
+ "description": "The Rapid Update Cycle analysis/model system at a 20-km horizontal resolution (RUC20) provides short-range numerical weather guidance for general forecasting, as well as for the special short-term needs of aviation and severe-weather forecasting. This data set consists of 60 meteorological and soil parameters at 50 computational levels.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0181_1",
+ "title": "CLPX-Model: Land Data Assimilation System (LDAS) Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2001-01-01",
+ "end_date": "2003-08-01",
+ "bbox": "-108.5, 38.5, -104, 42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250231-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250231-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0181_1",
+ "description": "The LDAS data set contains 43 model and observation-based fields produced by the LDAS uncoupled modeling system at the NASA Goddard Space Flight Center using the Mosaic Land Surface Model (LSM).",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0194_1",
"title": "AMMR Air and Brightness Temperature Data, Wakasa Bay, Version 1",
@@ -143519,6 +144871,19 @@
"description": "The Wakasa Bay Field Campaign was conducted to validate rainfall algorithms developed for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E).",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0195_1",
+ "title": "APR-2 Dual-frequency Airborne Radar Observations, Wakasa Bay, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-01-14",
+ "end_date": "2003-02-03",
+ "bbox": "130, 30, 150, 45",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204138-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204138-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/NSIDC-0195_1",
+ "description": "The Airborne Second Generation Precipitation Radar (APR-2) collected data in the Wakasa Bay AMSR-E validation campaign over the sea of Japan on board a NASA P-3 aircraft. Data were collected on all P-3 flights that encountered precipitation.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0201_1",
"title": "Biogenic Sulfur in the Siple Dome Ice Core",
@@ -143545,6 +144910,45 @@
"description": "These data are CO2 concentrations of the air occluded in Siple Dome ice core, Antarctica. The study was conducted between January 2001 and March 2003 on a deep ice core from Siple Dome Core A, located at 81.66 S, 148.82 W.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0209_1",
+ "title": "Baltic Sea Experiment (BALTEX) Ground-Based Radar Polar Volume Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-09-01",
+ "end_date": "2003-05-31",
+ "bbox": "18.39, 57.24, 18.39, 57.24",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204148-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204148-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/NSIDC-0209_1",
+ "description": "This data set includes non-Doppler polar volume reflectivity data from the Baltic Sea Experiment (BALTEX). Data were collected on Sweden's Gotland Island, using an Ericsson radar mounted at 56 m above sea level.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0210_1",
+ "title": "Double Rain Gauge Network, Iowa, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-06-18",
+ "end_date": "2003-11-13",
+ "bbox": "-91.75, 41.5, -91.5, 41.75",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204149-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204149-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0210_1",
+ "description": "This data set includes rainfall data from 25 sites in Iowa, centered on the Iowa City Municipal Airport.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0211_1",
+ "title": "CLPX-Model: Rapid Update Cycle 40km (RUC-40) Model Output Reduced Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-10-01",
+ "end_date": "2003-06-30",
+ "bbox": "-108.615, 38.394, -103.971, 42.568",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250242-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250242-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIiwidW1tIjoiW1wiY2xweC1haXJib3JuZTogcG9sYXJpbWV0cmljIGt1LWJhbmQgc2NhdHRlcm9tZXRlciAocG9sc2NhdCkgZGF0YSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJOU0lEQy0wMTU5XCIsXCIxXCIsMTM4NjIwMzg3OSwxMDVdIn0%3D/NSIDC-0211_1",
+ "description": "The Rapid Update Cycle, version 2 at 40km (RUC-2, known to the Cold Land Processes community as RUC40) model is a Mesoscale Analysis and Prediction System (MAPS) data set that uses the Model Output Reduced Data Set (MORDS) version. This data set has been subsetted for use in the Cold Land Processes Field Experiment (CLPX).",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0212_1",
"title": "Airborne Cloud Radar (ACR) Reflectivity, Wakasa Bay, Japan, Version 1",
@@ -143558,6 +144962,32 @@
"description": "This data set includes 94 GHz co- and cross-polarized radar reflectivity. The Airborne Cloud Radar (ACR) sensor was mounted to a NASA P-3 aircraft flown over the Sea of Japan, the Western Pacific Ocean, and the Japanese Islands.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0218_1",
+ "title": "Greenland Ice Sheet Melt Characteristics Derived from Passive Microwave Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1979-04-02",
+ "end_date": "2007-12-31",
+ "bbox": "-73, 60, -10, 84",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250243-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250243-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIiwidW1tIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIn0%3D/NSIDC-0218_1",
+ "description": "The Greenland ice sheet melt extent data, acquired as part of the NASA Program for Arctic Regional Climate Assessment (PARCA), is a daily (or every other day, prior to August 1987) estimate of the spatial extent of wet snow on the Greenland ice sheet since 1979. It is derived from passive microwave satellite brightness temperature characteristics using the Cross-Polarized Gradient Ratio (XPGR) of Abdalati and Steffen (1997). It is physically based on the changes in microwave emission characteristics observable in data from the Scanning Multi-channel Microwave Radiometer (SMMR) and the Special Sensor Microwave/Imager (SSM/I) instruments when surface snow melts. It is not a direct measure of the snow wetness but rather is a binary indicator of the state of melt of each SMMR and SSM/I pixel on the ice sheet for each day of observation. It is, however, a useful proxy for the amount of melt that occurs on the Greenland ice sheet. The data are provided in a variety of formats including raw data in ASCII format, gridded daily data in binary format, and annual and complete time series climatologies in gridded binary and GeoTIFF format. All data are in a 60 x 109 pixel subset of the standard Northern Hemisphere polar stereographic grid with a 25 km resolution and are available via FTP.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0223_1",
+ "title": "Elevation Change of the Southern Greenland Ice Sheet from 1978-88, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1978-01-01",
+ "end_date": "1988-12-31",
+ "bbox": "-52, 61, -30, 72",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204165-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204165-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0223_1",
+ "description": "Southern Greenland ice sheet elevation change estimates are derived from SEASAT and GEOSAT radar altimetry data from 1978 to 1988. Data are confined to 61-72 deg N, 30-50 deg W, above 1700 m elevation. The addition of GEOSAT Geodetic Mission (GM) data results in twice as many crossover points and 50% greater coverage than previous studies. Coverage above 2000 m elevation is improved to 90%, and about 75% of the area between 1700 m and 2000 m is now covered. Data are in ASCII text format, available via FTP, and consist of elevation change rate (dH/dt, cm/year) and corresponding error estimates in 50 km grid cells.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0240_1",
"title": "Antarctic Aerogeophysics Data",
@@ -143597,6 +145027,32 @@
"description": "This data set compares global atmospheric concentration of methane from ice cores taken on the ice sheets of Antarctica and Greenland. The data come from multiple ice cores on each continent, including Greenland Ice Core Project (GRIP) and Greenland Ice Sheet Project (GISP) ice cores and the Byrd and Vostok cores from Antarctica.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0271_1",
+ "title": "Global Monthly EASE-Grid Snow Water Equivalent Climatology, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1978-01-01",
+ "end_date": "2007-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250252-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250252-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBjb3ZlcmVkIGFyZWEgZm9yIHRoZSBzdGF0ZSBvZiBhbGFza2EsIDE5ODUtMjAyMCwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMTAwNDBcIixcIjFcIiwyMjQ1MjY2MzIzLDcwXSIsInVtbSI6IltcImdsYWNpZXIgY292ZXJlZCBhcmVhIGZvciB0aGUgc3RhdGUgb2YgYWxhc2thLCAxOTg1LTIwMjAsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzEwMDQwXCIsXCIxXCIsMjI0NTI2NjMyMyw3MF0ifQ%3D%3D/NSIDC-0271_1",
+ "description": "This data set comprises global, monthly satellite-derived Snow Water Equivalent (SWE) climatologies from November 1978 through May 2007, with periodic updates released as resources permit. Global data are gridded to the Northern and Southern 25 km Equal-Area Scalable Earth Grids (EASE-Grids). Global snow water equivalent is derived from Scanning Multichannel Microwave Radiometer (SMMR) and selected Special Sensor Microwave/Imagers (SSM/I). Northern Hemisphere data are enhanced with snow cover frequencies derived from the Northern Hemisphere EASE-Grid Weekly Snow Cover and Sea Ice Extent Version 2 data (these data were not produced for the Southern Hemisphere). The data are binary data files and PNG images, and are available via HTTPS.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0272_1",
+ "title": "GLIMS Glacier Database, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1850-01-01",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250255-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250255-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBjb3ZlcmVkIGFyZWEgZm9yIHRoZSBzdGF0ZSBvZiBhbGFza2EsIDE5ODUtMjAyMCwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMTAwNDBcIixcIjFcIiwyMjQ1MjY2MzIzLDcwXSIsInVtbSI6IltcImdsYWNpZXIgY292ZXJlZCBhcmVhIGZvciB0aGUgc3RhdGUgb2YgYWxhc2thLCAxOTg1LTIwMjAsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzEwMDQwXCIsXCIxXCIsMjI0NTI2NjMyMyw3MF0ifQ%3D%3D/NSIDC-0272_1",
+ "description": "Global Land Ice Measurements from Space (GLIMS) is an international initiative with the goal of repeatedly surveying the world's estimated 200,000 glaciers. GLIMS uses data collected by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument aboard the Terra satellite and the LANDSAT series of satellites, along with historical observations. The GLIMS initiative has created a unique glacier inventory, storing information about the extent and rates of change of all the world's mountain glaciers and ice caps. The GLIMS Glacier Database was built up from data contributions from many glaciological institutions, which are managed by Regional Coordinators, who coordinate the production of glacier mapping results for their particular region. The GLIMS Glacier Database provides students, educators, scientists, and the public with reliable glacier data from these analyses. New glacier data are continually being added to the database. The GLIMS Glacier Viewer was developed to provide the public with easy access to the GLIMS Glacier Database. This Web application allows users to view and query several thematic layers, including glacier outlines, Regional Coordinator institution locations, the World Glacier Inventory, and more. GLIMS data can be downloaded into a number of GIS-compatible formats, including ESRI Shapefiles, MapInfo tables, Geographic Mark-up Language (GML), and Keyhole Mark-up Language (KML) suitable for viewing in Google Earth.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0279_1",
"title": "Analysis of Siple Dome Ice Core: Carbonyl Sulfide (COS), Methyl Chloride (CH3Cl), and Methyl Bromide (CH3Br)",
@@ -143636,6 +145092,19 @@
"description": "The Antarctic megadune research was conducted during two field seasons, one in November 2002 and the other during the period of December 2003 through January 2004. The megadune field site is located on the East Antarctic Plateau, southeast of Vostok station. The objectives of this multi-facetted research are 1) to determine the physical characteristics of the firn across the dunes including typical climate indicators such as stable isotopes and major chemical species and 2) to install instruments to measure the time variation of near-surface wind and temperature with depth, to test and refine hypotheses for megadune formation. It is important to improve our current understanding of the megadunes because of their extreme nature, their broad extent, and their potential impact on the climate record. Megadunes are a manifestation of an extreme terrestrial climate and may provide insight on the past terrestrial climate or on processes active on other planets. Snow megadunes are undulating variations in accumulation and surface texture with wavelengths of 2 to 5 km and amplitudes up to 5 meters. The features cover 500,000 km2 of the East Antarctic plateau, occurring in areas of moderate regional slope and low accumulation on the flanks of the ice sheet between 2500 and 3800 meters elevation. Landsat images and aerial photography indicate the dunes consist of alternating surfaces of glaze and rough sastrugi, with gradational boundaries. This pattern is oriented perpendicular to the mean wind direction, as modeled in katabatic wind studies. Glazed surfaces cover the leeward faces and troughs; rough sastrugi cover the windward faces and crests. The megadune pattern is crossed by smooth to eroded wind-parallel longitudinal dunes. Wind-eroded longitudinal dunes form spectacular 1-meter-high sastrugi in nearby areas. This data set contains automated weather station (AWS) data from two sites. The Mac site was oriented on the rough sastrugi-covered windward face and the Zoe site was on the glazed leeward face. The AWSs collected data throughout the year from 16 January 2004 to 17 November 2004. Investigators received data from the two field sites via the ARGOS Satellite System (http://www.argosinc.com/). Data are provided in space-delimited ASCII text format and are available via FTP.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0291_1",
+ "title": "CLPX NCAR Data Analysis and Numerical Modeling, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2001-10-01",
+ "end_date": "2003-06-30",
+ "bbox": "-108.5, 38.5, -104, 42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250297-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250297-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/NSIDC-0291_1",
+ "description": "This data set consists of three-dimensional meteorological analyses for the entire cold season 2002-2003 for the three CLPX Meteorological Study Areas (MSAs) in northern Colorado (North Park, Fraser and Rabbit Ears) using high-resolution (500 m horizontal grid spacing).",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0301_1",
"title": "AMSR-E/Aqua Daily EASE-Grid Brightness Temperatures, Version 1",
@@ -143662,6 +145131,32 @@
"description": "The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA EOS Aqua satellite provides global passive microwave measurements of the Earth. NSIDC produces AMSR-E gridded brightness temperature data by interpolating AMSR-E data (6.9 GHz, 10.7 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz, and 89.0 GHz) to the output grids from swath space using an inverse-distance squared method. AMSR-E/Aqua L2A Global Swath Spatially-Resampled Brightness Temperatures (AE_L2A) input source data are used to create the gridded brightness temperature data.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0304_1",
+ "title": "GLAS/ICESat 500 m Laser Altimetry Digital Elevation Model of Antarctica, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-02-01",
+ "end_date": "2005-06-30",
+ "bbox": "-180, -86, 180, -63",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204222-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204222-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBjb3ZlcmVkIGFyZWEgZm9yIHRoZSBzdGF0ZSBvZiBhbGFza2EsIDE5ODUtMjAyMCwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMTAwNDBcIixcIjFcIiwyMjQ1MjY2MzIzLDcwXSIsInVtbSI6IltcImdsYWNpZXIgY292ZXJlZCBhcmVhIGZvciB0aGUgc3RhdGUgb2YgYWxhc2thLCAxOTg1LTIwMjAsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzEwMDQwXCIsXCIxXCIsMjI0NTI2NjMyMyw3MF0ifQ%3D%3D/NSIDC-0304_1",
+ "description": "The Geoscience Laser Altimeter System (GLAS) instrument on the Ice, Cloud, and land Elevation Satellite (ICESat) provides global measurements of elevation, and repeats measurements along nearly-identical tracks; its primary mission is to measure changes in ice volume (mass balance) over time. This digital elevation model (DEM) of Antarctica is derived from GLAS/ICESat laser altimetry profile data and provides new surface elevation grids of the ice sheets and coastal areas, with greater latitudinal extent and fewer slope-related effects than radar altimetry. This DEM is generated from the first seven operational periods (from February 2003 through June 2005) of the GLAS instrument. It is provided on polar stereographic grids at 500 m grid spacing. The grid covers all of Antarctica north of 86\u00b0 S. Elevations are reported as centimeters above the datums, relative to both the WGS 84 ellipsoid and the EGM96 geoid, in two separate elevation data files. A data quality map of the interpolation distance is distributed in addition to the elevation data. ENVI header files are also provided. The data are in 4-byte (long) signed integer binary files (big endian byte order) and are available via FTP.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0305_1",
+ "title": "GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-02-01",
+ "end_date": "2005-06-30",
+ "bbox": "-73, 60, -11, 83",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204224-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204224-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBjb3ZlcmVkIGFyZWEgZm9yIHRoZSBzdGF0ZSBvZiBhbGFza2EsIDE5ODUtMjAyMCwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMTAwNDBcIixcIjFcIiwyMjQ1MjY2MzIzLDcwXSIsInVtbSI6IltcImdsYWNpZXIgY292ZXJlZCBhcmVhIGZvciB0aGUgc3RhdGUgb2YgYWxhc2thLCAxOTg1LTIwMjAsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzEwMDQwXCIsXCIxXCIsMjI0NTI2NjMyMyw3MF0ifQ%3D%3D/NSIDC-0305_1",
+ "description": "The Geoscience Laser Altimeter System (GLAS) instrument on the Ice, Cloud, and land Elevation Satellite (ICESat) provides global measurements of elevation, and repeats measurements along nearly-identical tracks; its primary mission is to measure changes in ice volume (mass balance) over time. This digital elevation model (DEM) of Greenland is derived from GLAS/ICESat laser altimetry profile data and provides new surface elevation grids of the ice sheets and coastal areas, with greater latitudinal extent and fewer slope-related effects than radar altimetry. This DEM is generated from the first seven operational periods (from February 2003 through June 2005) of the GLAS instrument. It is provided on polar stereographic grids at 1 km grid spacing. The grid covers all of Greenland south of 83\u00b0 N. Elevations are reported as centimeters above the datums, relative to both the WGS 84 ellipsoid and the EGM96 geoid, in two separate elevation data files. A data quality map of the interpolation distance is distributed in addition to the elevation data. ENVI header files are also provided. The data are in 4-byte (long) signed integer binary files (big endian byte order) and are available via FTP.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0310_1",
"title": "Carbon-13 Isotopic Composition of Atmospheric Methane in Firn Air, South Pole and Siple Dome, Antarctica",
@@ -143740,6 +145235,19 @@
"description": "The Mean Annual Temperature map was calculated by creating a contour map using compiled 10 meter firn temperature data from NSIDC and other mean annual temperature data from both cores and stations. The 10 meter data contains temperature measurements dating back to 1957 and the International Geophysical Year, including measurements from several major recent surveys. Data cover the entire continental ice sheet and several ice shelves, but coverage density is generally low. Data are stored in Microsoft Excel and Tagged Image File Format (TIFF), and are available sporadically from 1957 to 2003 via FTP.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0321_1",
+ "title": "Global EASE-Grid 8-day Blended SSM/I and MODIS Snow Cover, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2000-03-05",
+ "end_date": "2008-02-01",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250333-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250333-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBjb3ZlcmVkIGFyZWEgZm9yIHRoZSBzdGF0ZSBvZiBhbGFza2EsIDE5ODUtMjAyMCwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMTAwNDBcIixcIjFcIiwyMjQ1MjY2MzIzLDcwXSIsInVtbSI6IltcImdsYWNpZXIgY292ZXJlZCBhcmVhIGZvciB0aGUgc3RhdGUgb2YgYWxhc2thLCAxOTg1LTIwMjAsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzEwMDQwXCIsXCIxXCIsMjI0NTI2NjMyMyw3MF0ifQ%3D%3D/NSIDC-0321_1",
+ "description": "This data set comprises global, 8-day Snow-Covered Area (SCA) and Snow Water Equivalent (SWE) data from 2000 through 2008. Global SWE data are derived from the Special Sensor Microwave Imager (SSM/I) and are enhanced with MODIS/Terra Snow Cover 8-Day Level 3 Global 0.05 degree Climate Modeling Grid (CMG) data. Global data are gridded to the Northern and Southern 25 km Equal-Area Scalable Earth Grids (EASE-Grids). These data are suitable for continental-scale time-series studies of snow cover and snow water equivalent.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0326_1",
"title": "Ablation Rates of Taylor Glacier, Antarctica",
@@ -143779,6 +145287,19 @@
"description": "This data set is an Antarctic radar-based subglacial lake classification collection, which focuses on the radar reflection properties of each given lake. The Subglacial lakes are separated into four categories specified by radar reflection properties. Additional information includes: latitude, longitude, length (in kilometers), hydro-potential (in meters), bed elevation (in meters above WGS84), and ice thickness (in meters). Source data used to compile this data set were collected between 1998 and 2001. Data are available via FTP as a Microsoft Excel Spreadsheet (XLS), and Tagged Image File Format (TIF).",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0393_1",
+ "title": "Arctic Sea Ice Freeboard and Thickness, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-02-20",
+ "end_date": "2008-10-19",
+ "bbox": "-180, 65, 180, 86",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250451-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250451-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/NSIDC-0393_1",
+ "description": "This data set provides measurements of sea ice freeboard and sea ice thickness for the Arctic region. The data were derived from measurements made by from the Ice, Cloud, and land Elevation Satellite (ICESat) Geoscience Laser Altimeter System (GLAS) instrument, the Special Sensor Microwave/Imager (SSM/I), and climatologies of snow and drift of ice.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0394_1",
"title": "Atmospheric Mixing Ratios of Hydroperoxides above the West Antarctic Ice Sheet",
@@ -143805,6 +145326,32 @@
"description": "The Center for Remote Sensing of Ice Sheets (CReSIS) data from the 2002 and 2006 Flight missions. Basic Processing has been done to obtain the radar echograms and derived ice thickness data. Algorithms are being developed to reduce the multiples to obtain accurate measurement of ice sheet thickness over some areas. Data are available in Matlab (.mat) and Adobe .pdf formats.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0422_1",
+ "title": "Antarctic 1 km Digital Elevation Model (DEM) from Combined ERS-1 Radar and ICESat Laser Satellite Altimetry, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1994-03-01",
+ "end_date": "2008-03-21",
+ "bbox": "-180, -86, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250461-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250461-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/NSIDC-0422_1",
+ "description": "This data set provides a 1 km resolution Digital Elevation Model (DEM) of Antarctica. The DEM combines measurements from the European Remote Sensing Satellite-1 (ERS-1) Satellite Radar Altimeter (SRA) and the Ice, Cloud, and land Elevation Satellite (ICESat) Geosciences Laser Altimeter System (GLAS). The ERS-1 data are from two long repeat cycles of 168 days initiated in March 1994, and the GLAS data are from 20 February 2003 through 21 March 2008. The data set is approximately 240 MB comprised of two gridded binary files and two Environment for Visualizing Images (ENVI) header files viewable using ENVI or other similar software packages. The data are available via FTP.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0424_1",
+ "title": "AMSRIce03 Snow Depth Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-03-04",
+ "end_date": "2003-03-19",
+ "bbox": "-156.4, 71.18, -147.5, 72.95",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205135-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205135-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/NSIDC-0424_1",
+ "description": "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains snow depth measurements collected over sea ice in the Barrow, Alaska area and at the Navy Ice Camp in the main pack ice of the Arctic Ocean as part of the joint in situ and aircraft AMSRIce03 campaign.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0426_1",
"title": "AMSRIce03 Sea Ice Thickness Data, Version 1",
@@ -143818,6 +145365,45 @@
"description": "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains ice thickness measurements collected over sea ice in the Barrow, Alaska area and at the Navy Ice Camp in the main pack ice of the Arctic Ocean as part of the joint in situ and aircraft AMSRIce03 campaign conducted in March 2003.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0427_1",
+ "title": "AMSRIce03 Surface Roughness Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-03-16",
+ "end_date": "2003-03-16",
+ "bbox": "-156.4, 71.18, -156.15, 71.28",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205139-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205139-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/NSIDC-0427_1",
+ "description": "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains surface roughness measurements collected over sea ice in the Barrow, Alaska USA area as part the joint in situ and aircraft AMSRIce03 campaign.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0428_1",
+ "title": "AMSRIce03 Snow Ice Temperature Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-03-13",
+ "end_date": "2003-03-20",
+ "bbox": "-156.4, 71.18, -156.15, 71.28",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205140-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205140-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/NSIDC-0428_1",
+ "description": "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains snow ice temperature measurements collected over sea ice in the Barrow, Alaska USA area as part of the joint in situ and aircraft AMSRIce03 campaign.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0429_1",
+ "title": "AMSRIce03 Snow Pit Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2003-03-03",
+ "end_date": "2003-03-23",
+ "bbox": "-156.4, 71.18, -147.5, 72.95",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205141-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205141-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/NSIDC-0429_1",
+ "description": "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains snow pit data collected over sea ice in the Barrow, Alaska, USA area and nearby at the Navy Ice Camp in the main pack ice of the Arctic Ocean.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0430_1",
"title": "AMSRIce03 Photomosaics, Version 1",
@@ -143857,6 +145443,84 @@
"description": "This data set contains Moderate Resolution Imaging Spectroradiometer (MODIS) imagery of the Alaska, USA area, complementing the joint in situ and aircraft Advanced Microwave Scanning Radiometer Sea Ice Product Validation (AMSRIce03) campaign.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0437_1",
+ "title": "Greenland Climate Network (GC-Net) Radiation for Arctic System Reanalysis, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1995-01-01",
+ "end_date": "2008-05-09",
+ "bbox": "-61.09, 63.15, -42.5, 80.75",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205153-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205153-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIiwidW1tIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIn0%3D/NSIDC-0437_1",
+ "description": "This data set provides incoming shortwave radiation measurements from fourteen stations of the Greenland Climate Network (GC-Net) distributed over the Greenland Ice Sheet. The original data were obtained from the GC-Net and subsequently quality controlled. The data span from 01 January 1995 through 09 May 2008. The data set is approximately 15 MB comprised of fourteen Network Common Data Form (netCDF) files. The data are available via FTP.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0447_1",
+ "title": "Canadian Meteorological Centre (CMC) Daily Snow Depth Analysis Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1998-08-01",
+ "end_date": "2020-12-31",
+ "bbox": "-180, 0, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205170-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205170-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/NSIDC-0447_1",
+ "description": "This data set consists of a Northern Hemisphere subset of the Canadian Meteorological Centre (CMC) operational global daily snow depth analysis. Data include daily analyzed snow depths, as well as monthly means and climatologies of snow depth and estimated snow water equivalent (SWE).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0450_1",
+ "title": "Co-Registered AMSR-E, QuikSCAT, and WMO Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-01-01",
+ "end_date": "2009-12-31",
+ "bbox": "-179.83301, 30.667, 180, 79.55",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250555-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250555-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0450_1",
+ "description": "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains the following spatially and temporally co-registered data: Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) brightness temperatures for all channels; Quick Scatterometer (QuikSCAT) backscattering coefficients; and World Meteorological Organization (WMO) ground observations acquired from more than two thousand stations. There is a large, increasing interest in the potential arising from the combination of active and passive microwave data for the extraction of geophysical parameters from spaceborne platforms. Often, one of the major obstacles is the generation of spatially and temporally co-registered data sets for testing hypotheses, validating models, and developing retrieval approaches. The temporal coverage of this data set spans from 01 January 2002 through 19 March 2009 with AMSR-E data included for the 19 June 2002 through 19 March 2009 time period. The volume of the data set is approximately two gigabytes. Data are provided in tab-delimited ASCII text files and are available via FTP.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0451_3",
+ "title": "Daily Global Land Parameters Derived from AMSR-E and AMSR2, Version 3",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-06-19",
+ "end_date": "2021-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2101849384-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2101849384-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0451_3",
+ "description": "This data set contains satellite-retrieved geophysical parameter files generated from the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the National Aeronautics and Space Administration (NASA) Aqua satellite and the Advanced Microwave Scanning Radiometer 2 (AMSR2) sensor on the JAXA GCOM-W1 satellite. The geophysical parameters include daily air surface temperature, fractional open water cover estimates, vegetation optical depth, surface volumetric soil moisture, and atmosphere total column precipitable water vapor. The global retrievals were derived over land for non-precipitating, non-snow, and non-ice covered conditions.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0459_1",
+ "title": "AMSRIce06 Aerial Photographs, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2006-03-18",
+ "end_date": "2006-03-25",
+ "bbox": "-168.30655, 64.81921, -147.86187, 76.87383",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205191-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205191-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/NSIDC-0459_1",
+ "description": "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains photographs of sea ice in the Chukchi and Beaufort Seas of the Arctic Ocean, and of snow cover off the northern coast of Alaska, USA. Photographs were taken from a P3 aircraft using two Kodak digital DC4800 cameras.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0461_1",
+ "title": "AMSRIce06 Airborne Topographic Mapper (ATM) Lidar Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2006-03-21",
+ "end_date": "2006-03-25",
+ "bbox": "-166.1468, 64.8929, -148.2055, 71.9577",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205193-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205193-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/NSIDC-0461_1",
+ "description": "Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains Lidar measurements of sea ice in the Chukchi and Beaufort Seas of the Arctic Ocean, and of snow cover off the northern coast of Alaska, USA. The Lidar data were obtained by the Airborne Topographic Mapper (ATM) instrument mounted on a P3 aircraft.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0466_1",
"title": "Climate, Drift, and Image Data from Antarctic Icebergs A22A and UK211, 2006-2007",
@@ -144221,6 +145885,71 @@
"description": "This data set contains c-axis fabric measurements and grain area from the physical properties samples taken from the main West Antarctic Ice Sheet (WAIS) Divide ice core, WDC06A , Antarctica.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0607_1",
+ "title": "EASE-Grid Land-Ocean-Coastline-Ice Masks Derived from Boston University MODIS/Terra Land Cover Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2000-07-01",
+ "end_date": "2000-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205661-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205661-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0607_1",
+ "description": "These Land-Ocean-Coastline-Ice (LOCI) files provide land classification masks derived from the Boston University MOD12Q1 V004 MODIS/Terra 1 km Land Cover Product (Friedl et al. 2002). The masks are available in various EASE-Grid azimuthal and global projections, at 12.5 km and 25 km spatial resolutions. The masks are in flat binary, 1 byte files stored by row. Quick-look browse images of the masks are also available in PNG (.png) format.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0608_1",
+ "title": "EASE-Grid Land Cover Classifications Derived from Boston University MODIS/Terra Land Cover Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2000-07-01",
+ "end_date": "2000-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205662-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205662-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0608_1",
+ "description": "These data provide land cover classifications derived from the Boston University MOD12Q1 V004 MODIS/Terra 1 km Land Cover Product (Friedl et al. 2002). The data are available in various EASE-Grid azimuthal and global projections, in 12.5 km and 25 km spatial resolutions. The data are in flat binary, 1 byte files that are stored by row.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0609_1",
+ "title": "EASE-Grid 2.0 Land-Ocean-Coastline-Ice Masks Derived from Boston University MODIS/Terra Land Cover Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2000-07-01",
+ "end_date": "2000-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205663-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205663-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0609_1",
+ "description": "These Land-Ocean-Coastline-Ice (LOCI) files provide land classification masks derived from the Boston University MOD12Q1 V004 MODIS/Terra 1 km Land Cover Product (Friedl et al. 2002). The masks are available in various EASE-Grid 2.0 azimuthal and global projections, at various spatial resolutions ranging from 3 km to 100 km. The masks are in flat binary, 1 byte files stored by row. Quick-look browse images of the masks are also available in PNG (.png) format.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0610_1",
+ "title": "EASE-Grid 2.0 Land Cover Classifications Derived from Boston University MODIS/Terra Land Cover Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2000-07-01",
+ "end_date": "2000-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205664-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205664-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0610_1",
+ "description": "These data provide land cover classifications derived from the Boston University MOD12Q1 V004 MODIS/Terra 1 km Land Cover Product (Friedl et al. 2002). The data are available in various EASE-Grid 2.0 azimuthal and global projections, in multiple spatial resolutions ranging from 3 km to 100 km. The data are in flat binary, 1 byte files that are stored by row.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0611_4",
+ "title": "EASE-Grid Sea Ice Age, Version 4",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1984-01-01",
+ "end_date": "2022-12-31",
+ "bbox": "-180, 29.7, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1599727713-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1599727713-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0611_4",
+ "description": "This data set provides weekly estimates of sea ice age for the Arctic Ocean derived from remotely sensed sea ice motion and sea ice extent. For more recent data, see the Quicklook Arctic Weekly EASE-Grid Sea Ice Age data product (https://nsidc.org/data/nsidc-0749).",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0627_1",
"title": "Borehole Temperatures at Pine Island Glacier, Antarctica",
@@ -144299,6 +146028,19 @@
"description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of annual, digitized (polyline) ice front positions for 239 outlet glaciers in Greenland. Ice front positions are derived from Sentinel-1A, Sentinel-1B, and RADARSAT-1 synthetic aperture radar (SAR) mosaics, plus imagery from Landsat 1 through Landsat 5 and Landsat 7 and Landsat 8. Although temporal coverage varies by glacier, data are available for the winter seasons 1972\u20131973 through 2020\u20132021. Data are provided as shapefiles. See Greenland Ice Mapping Project (GrIMP) for related data.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0644_1",
+ "title": "Greenland Annual Accumulation along the EGIG Line, 1959\u20132004, from Airborne Radar and Neutron Probe Densities, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1959-10-01",
+ "end_date": "2004-09-30",
+ "bbox": "-42.838297, 70.585609, -36.232431, 71.207715",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1436304012-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1436304012-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIiwidW1tIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIn0%3D/NSIDC-0644_1",
+ "description": "This data set reports mean annual snow accumulation rates in meters water equivalent (m\u00b7w.e.) from 1959 to 2004 along a 250 km segment of the Exp\u00e9ditions Glaciologiques Internationales au Groenland (EGIG) line. Accumulation rates are derived from Airborne SAR/Interferometric Radar Altimeter System (ASIRAS) data and high resolution neutron-probe (NP) density profiles.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0645_1",
"title": "MEaSUREs Greenland Ice Mapping Project (GIMP) Digital Elevation Model V001",
@@ -144338,6 +146080,19 @@
"description": "This data set contains data obtained by the Passive Active L- and S-band (PALS) microwave aircraft instrument that are matched up with a variety of soil moisture campaign data. The data were collected as part of four different campaigns: Southern Great Plains 1999 (SGP99), Cloud and Land Surface Interaction Campaign 2007 (CLASIC07), Soil Moisture Experiment 2002 (SMEX02), and the SMAP Validation Experiment 2008 (SMAPVEX08).",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0668_2",
+ "title": "CanSISE Observation-Based Ensemble of Northern Hemisphere Terrestrial Snow Water Equivalent, Version 2",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1981-01-01",
+ "end_date": "2010-12-31",
+ "bbox": "-180, 0, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386256679-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386256679-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYm9yZWhvbGUgdGVtcGVyYXR1cmVzIGZyb20gbW91bnRhaW4gcGVybWFmcm9zdCBtb25pdG9yaW5nLCBtb25nb2xpYSwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHR0QzMzJcIixcIjFcIiwxMzg2MjA2ODMzLDgzXSIsInVtbSI6IltcImJvcmVob2xlIHRlbXBlcmF0dXJlcyBmcm9tIG1vdW50YWluIHBlcm1hZnJvc3QgbW9uaXRvcmluZywgbW9uZ29saWEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiR0dEMzMyXCIsXCIxXCIsMTM4NjIwNjgzMyw4M10ifQ%3D%3D/NSIDC-0668_2",
+ "description": "This data set is a daily gridded terrestrial snow water equivalent (SWE) dataset based on five component SWE products: ",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0670_1",
"title": "MEaSUREs Multi-year Greenland Ice Sheet Velocity Mosaic V001",
@@ -144351,6 +146106,32 @@
"description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains a multi-year ice-sheet-wide velocity mosaic for Greenland, derived from Interferometric Synthetic Aperture Radar (InSAR), Synthetic Aperture Radar (SAR), and Landsat 8 optical imagery data. See Greenland Ice Mapping Project (GIMP) for related data.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0690_1",
+ "title": "Gridded Observational Sea Ice Thickness Products, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1993-01-01",
+ "end_date": "2014-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205715-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205715-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIiwidW1tIjoiW1wiZ3JlYXQgbGFrZXMgc3VyZmFjZSBpY2UgcmVwb3J0cyBmcm9tIHUucy4gY29hc3QgZ3VhcmQsIDE5NjEgLSAyMDA0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIkcwMDgwNVwiLFwiMVwiLDIyMDU1MjIyOTEsNjFdIn0%3D/NSIDC-0690_1",
+ "description": "Fields of long-term mean spring ice thickness derived from ERS-1 (1993-2001) and CryoSat (2011 to 2013) radar altimeters, ICESat laser altimeter (2004 to 2009), Operation IceBridge airborne altimeter and snow radar (2009 to 2014), and submarine upward looking sonar (1986-) are provided on 100 km EASE grids. All satellite-derived ice thickness fields were regridded as needed from their original gridded format to 100-km EASE grids using a drop-in-the-bucket averaging. IceBridge and submarine thickness estimates within 70 km of a 100 km EASE grid box center were averaged to give a grid cell mean thickness.",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0707_1",
+ "title": "CryoSat-2 Sea Ice Freeboard, Thickness, and Snow Depth Quick Look, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2014-03-01",
+ "end_date": "2015-03-31",
+ "bbox": "-180, 55, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250736-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250736-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0707_1",
+ "description": "This data set contains sea ice thickness and other derived geophysical parameters measured over the Arctic sea ice cover. The data are primarily based on ESA's CryoSat-2 Level-1B SAR/SarIn Baseline B data products for March 2014 and March 2015. Ancillary data include snow depth, snow density, sea ice concentration, sea ice freeboard, and sea ice roughness. This quick look product is experimental and designed to aid in seasonal sea ice forecasting and other time-sensitive projects. The data were collected as part of Operation IceBridge funded campaigns. Note: This data set is the Quick Look counterpart to the CryoSat-2 Level-4 Sea Ice Elevation, Freeboard, and Thickness data set.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0709_2",
"title": "MEaSUREs Antarctic Boundaries for IPY 2007-2009 from Satellite Radar V002",
@@ -144364,6 +146145,19 @@
"description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides maps of Antarctic ice shelves, Antarctic basins, and the Antarctic coastline. The maps are assembled from 2008-2009 ice-front data from the Japan Aerospace Exploration Agency's (JAXA) ALOS PALSAR and European Space Agency's ENVISAT ASAR data, acquired during International Polar Years 2007-2009 (IPY); the InSAR-based grounding line data (MEaSUREs Antarctic Grounding Line from Differential Satellite Radar Interferometry), augmented with other grounding line sources; the Antarctic ice velocity map (MEaSUREs InSAR-Based Antarctica Ice Velocity Map); and the Bedmap-2 DEM. See Antarctic Ice Sheet Velocity and Mapping Data for related data.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0710_1",
+ "title": "Global Land Ice Velocity Extraction from Landsat 8 (GoLIVE), Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2013-05-01",
+ "end_date": "2017-04-30",
+ "bbox": "-180, -82, 180, 82",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250737-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250737-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBjb3ZlcmVkIGFyZWEgZm9yIHRoZSBzdGF0ZSBvZiBhbGFza2EsIDE5ODUtMjAyMCwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMTAwNDBcIixcIjFcIiwyMjQ1MjY2MzIzLDcwXSIsInVtbSI6IltcImdsYWNpZXIgY292ZXJlZCBhcmVhIGZvciB0aGUgc3RhdGUgb2YgYWxhc2thLCAxOTg1LTIwMjAsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzEwMDQwXCIsXCIxXCIsMjI0NTI2NjMyMyw3MF0ifQ%3D%3D/NSIDC-0710_1",
+ "description": "This data set is a compilation of ice velocity mappings generated from pairs of Landsat 8 panchromatic images acquired from May 2013 to present covering all terrestrial permanent ice within the latitude range 82\u00b0S to 82\u00b0N that is larger than 5 km2 in area. The data are updated monthly with new images acquired by Landsat 8 that are then paired with older images acquired within 400 days of the new acquisition for the Antarctic ice sheet, 112 days for the Greenland ice sheet, and 96 days for all other glacierized areas. The data are generated by an image correlation algorithm that produces grids of ice displacement referenced to in-image rock outcrops, slow moving ice, or if lacking that, using the satellite's geo-positioning (accurate to +/- 5 m). Velocity vector grids are generated at a sample spacing of 300 m from small sub-images that are either 300 m or 600 m on a side, depending on the region. For example, ice sheet areas are mapped with 600 m x 600 m sub-images, and mountain glaciers are mapped with 300 m x 300 m sub-images. Accuracy of the velocity data varies depending on the time separation between the images, ranging between ~1 m/d per day to 0.02 m/d per day.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0712_1",
"title": "SMAP/In Situ Core Validation Site Land Surface Parameters Match-Up Data V001",
@@ -144416,6 +146210,19 @@
"description": "This data set consists of an enhanced resolution digital elevation model (DEM) for the Greenland Ice Sheet, derived from sub-meter resolution, panchromatic stereoscopic imagery collected by the GeoEye-1, WorldView-1, -2, and -3 satellites operated by Maxar Technologies. The DEM was created from in-track image pairs (i.e., both images collected minutes apart along the same orbital pass) and cross-track images (i.e., from different orbits) within the in-track imaging geometry and maximum time separation criteria. The DEM is registered to ATLAS/ICESat-2 L3A Land Ice Height, Version 5 (ATL06, V5) data collected in the summers of 2019 and 2020. See Greenland Ice Mapping Project (GrIMP) for related data",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0719_1",
+ "title": "Daily 4 km Gridded SWE and Snow Depth from Assimilated In-Situ and Modeled Data over the Conterminous US, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1981-10-01",
+ "end_date": "2022-09-30",
+ "bbox": "-125, 24, -66.5, 50",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1609344161-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1609344161-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0719_1",
+ "description": "This data set provides daily 4 km snow water equivalent (SWE) and snow depth over the conterminous United States from 1981 to 2022, developed at the University of Arizona (UA) under the support of the NASA MAP and SMAP Programs. The data were created by assimilating in-situ snow measurements from the National Resources Conservation Service's SNOTEL network and the National Weather Service's COOP network with modeled, gridded temperature and precipitation data from PRISM.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0720_1",
"title": "MEaSUREs Annual Antarctic Ice Velocity Maps V001",
@@ -144429,6 +146236,19 @@
"description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides annual maps of Antarctic ice velocity. The maps are assembled using SAR data from the Japanese Space Agency's (JAXA) ALOS PALSAR, the European Space Agency's (ESA) ENVISAT ASAR and Copernicus Sentinel-1, the Canadian Space Agency's (CSA) RADARSAT-1, RADARSAT-2, the German Aerospace Agency's (DLR) TerraSAR-X (TSX) and TanDEM \u2013X (TDX), and the U.S. Geological Survey's (USGS) Landsat-8 optical imagery.. See Antarctic Ice Sheet Velocity and Mapping Data for related data.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0722_1",
+ "title": "Daily Snow Depth and SWE from GPS Signal-to-Noise Ratios, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-09-01",
+ "end_date": "2017-06-30",
+ "bbox": "-180, 32, 18.37, 83",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1412992229-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1412992229-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0722_1",
+ "description": "This data set consists of daily snow depths and snow-water equivalents (SWEs) estimated from GPS signal-to-noise ratios (SNRs).\u00a0Snow depth is determined by\u00a0calculating the relative change of the effective multipath reflector height (i.e. the snow surface) with respect to the snow free surface. SWEs are determined using GPS snow depths and, when available, density observations from nearby SNOpack TELemetry (SNOTEL) stations. When a nearby SNOTEL station\u00a0is not available, density is estimated using GPS snow depth and\u00a0climate classes, which account for\u00a0variables such as location and time of the year.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0723_4",
"title": "MEaSUREs Greenland Image Mosaics from Sentinel-1A and -1B V004",
@@ -144468,6 +146288,19 @@
"description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains annual ice velocity mosaics for the Greenland Ice Sheet. Velocities are derived from synthetic aperture radar (SAR) data, obtained by TerraSAR-X/TanDEM-X and Sentinel-1A and -1B, and from optical imagery acquired by Landsat 8 and Landsat 9. See Greenland Ice Mapping Project (GrIMP) for related data.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0726_1",
+ "title": "Daily Lake Ice Phenology Time Series Derived from AMSR-E and AMSR2, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2002-06-04",
+ "end_date": "2022-12-31",
+ "bbox": "-180, 0, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1451430508-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1451430508-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiY2xweC1zYXRlbGxpdGU6IGxhbmRzYXQgdGhlbWF0aWMgbWFwcGVyIGltYWdlcnksIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDE0OVwiLFwiMVwiLDEzODYyNTY2NTgsMTA5XSIsInVtbSI6IltcImNscHgtc2F0ZWxsaXRlOiBsYW5kc2F0IHRoZW1hdGljIG1hcHBlciBpbWFnZXJ5LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAxNDlcIixcIjFcIiwxMzg2MjU2NjU4LDEwOV0ifQ%3D%3D/NSIDC-0726_1",
+ "description": "The Daily Lake Ice Phenology Time Series Derived from AMSR-E and AMSR2 provides 5 km ice phenology retrievals describing daily lake ice conditions (ice-on/ice-off) over the Northern Hemisphere. This satellite-based data set allows for rapid assessment and regional monitoring of seasonal ice coverage over large lakes with resulting accuracy suitable for global change studies. Data are provided in the 5 km Northern Hemisphere Equal-Area Scalable Earth Grid 2.0 (EASE-Grid 2.0).",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0727_5",
"title": "MEaSUREs Greenland Quarterly Ice Sheet Velocity Mosaics from SAR and Landsat V005",
@@ -144507,6 +146340,19 @@
"description": "This data set contains twice-daily, enhanced-resolution brightness temperature data derived from the SMAP radiometer. Data are available on the Northern Hemisphere, Southern Hemisphere, Temperate, and Mid-Latitude (sub-set of Global) EASE-Grid 2.0 projections and on the 3 km, 3.125 km, 9 km, 25 km, and 36 km resolution grids. This data set applies the same SIR technique used to derive brightness temperatures from the SMMR, AMSR-E, and SSM/I-SSMIS sensors and is a companion product for the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR data set (DOI: 10.5067/MEASURES/CRYOSPHERE/NSIDC-0630.001).",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0747_1",
+ "title": "Arctic Sea Ice Seasonal Change and Melt/Freeze Climate Indicators from Satellite Data, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1979-03-01",
+ "end_date": "2018-02-28",
+ "bbox": "-180, 30, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1593699726-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1593699726-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/NSIDC-0747_1",
+ "description": "The product contains melt-season indicators that can be used to delineate various stages in the summer melt and freeze-up period of sea ice. The data were primarily derived using Sea Ice Concentration (SIC) observations from the NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration and brightness temperature observations from the DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures; both input data sets are archived at NSIDC. The main parameters for this data set include the dates of melt onset, early melt onset, and continuous melt onset; dates of early and continuous freeze onset; day of opening (last day SIC is above 80%); day of retreat (last day SIC drops below 15%); day of advance (first day SIC increases above 15%); day of closing (first day SIC increases above 80%); total outer ice-free period; total inner ice-free period; seasonal loss-of-ice period; seasonal gain-of-ice period; and the seasonal ice zone. These data are available for 1979 through 2017. They are gridded on the NSIDC northern hemisphere polar stereographic grid at 25 km.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0754_1",
"title": "MEaSUREs Phase-Based Antarctica Ice Velocity Map V001",
@@ -144585,6 +146431,32 @@
"description": "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains 6 and 12 day surface velocity estimates for the Greenland Ice Sheet and periphery. Velocities are derived from images acquired by the European Space Agency (ESA) Copernicus Sentinel-1A and Sentinel-1B satellites. See Greenland Ice Mapping Project (GrIMP) for related data sets.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0768_1",
+ "title": "Global Seasonal-Snow Classification, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1981-01-01",
+ "end_date": "2019-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2218487926-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2218487926-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBjb3ZlcmVkIGFyZWEgZm9yIHRoZSBzdGF0ZSBvZiBhbGFza2EsIDE5ODUtMjAyMCwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMTAwNDBcIixcIjFcIiwyMjQ1MjY2MzIzLDcwXSIsInVtbSI6IltcImdsYWNpZXIgY292ZXJlZCBhcmVhIGZvciB0aGUgc3RhdGUgb2YgYWxhc2thLCAxOTg1LTIwMjAsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzEwMDQwXCIsXCIxXCIsMjI0NTI2NjMyMyw3MF0ifQ%3D%3D/NSIDC-0768_1",
+ "description": "This data set consists of global, seasonal snow classifications\u2014e.g., tundra, boreal forest, maritime, ephemeral, prairie, montane forest, and ice\u2014determined from air temperature, precipitation, and wind speed climatologies. Data are available on global, North America, and Eurasia latitude-longitude grids at four resolutions: 10 arcsec (~300 m), 30 arcsec (~1 km), 2.5 arcmin (~5 km), and 0.5\u00b0 (~50 km).",
+ "license": "proprietary"
+ },
+ {
+ "id": "NSIDC-0772_1",
+ "title": "EASE Grids Ancillary Grid Information, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1970-01-01",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2248794489-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2248794489-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0772_1",
+ "description": "EASE-Grids 2.0 provide arrays of the latitude and longitude at the center of each grid cell. New products use the EASE-Grid 2.0, but many existing data sets still use the original EASE-Grids.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0774_1",
"title": "SMAP Radar Twice-Daily SAR and SIR-Enhanced Scatterometer EASE-Grid 2.0 Radar Backscatter V001",
@@ -144663,6 +146535,19 @@
"description": "This data product contains global daily 1 km resolution surface soil moisture derived from the SMAP L-band radiometer. Specifically, MODIS land surface temperature data is used with the SMAP Enhanced L2radiometer Half-Orbit 9 km EASE-Grid Soil Moisture product in a downscaling algorithm to estimate soil moisture. The data set is validated by in situ soil moisture measurements from dense soil moisture networks representing different global land cover types.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0780_1",
+ "title": "Arctic and Antarctic Regional Masks for Sea Ice and Related Data Products, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1970-01-01",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2611228582-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2611228582-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYW1zcmljZTAzIHNlYSBpY2UgdGhpY2tuZXNzIGRhdGEsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDQyNlwiLFwiMVwiLDEzODYyMDUxMzgsMTE3XSIsInVtbSI6IltcImFtc3JpY2UwMyBzZWEgaWNlIHRoaWNrbmVzcyBkYXRhLCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTA0MjZcIixcIjFcIiwxMzg2MjA1MTM4LDExN10ifQ%3D%3D/NSIDC-0780_1",
+ "description": "This data product is a set of polar ocean region masks. The masks have been developed primarily to support sea ice products, but they are potentially useful for other applications.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0781_1",
"title": "MEaSUREs Weekly to Monthly Greenland Outlet Glacier Terminus Positions from Sentinel-1 Mosaics V001",
@@ -144689,6 +146574,19 @@
"description": "This data product contains monthly ice sheet elevation change data for Antarctica derived from five radar altimetry missions (Geosat, ERS-1 and -2, Envisat and CryoSat-2) and two laser altimetry missions (ICESat and ICESat-2). Each time step and grid node includes relative error estimates and a quality flag that can be used to filter the data in space and time. The product is also provided with an estimate of static topography in the form of a digital elevation model (DEM), which was used to estimate monthly ice sheet elevation change. With a temporal coverage of 17 April 1985 to 16 December 2020, this product can be used to determine changes in ice sheet mass balance over time.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0783_1",
+ "title": "Extreme Ice Survey Glacier Image Archive, 2007-2022, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "2006-01-01",
+ "end_date": "2022-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2848646118-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2848646118-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiZGlnaXRhbCBzYXIgbW9zYWljIGFuZCBlbGV2YXRpb24gbWFwIG9mIHRoZSBncmVlbmxhbmQgaWNlIHNoZWV0LCB2ZXJzaW9uIDFcIixcIk5TSURDVjBcIixcIk5TSURDLTAwNTJcIixcIjFcIiwxMzg2MjA2OTYwLDEwM10iLCJ1bW0iOiJbXCJkaWdpdGFsIHNhciBtb3NhaWMgYW5kIGVsZXZhdGlvbiBtYXAgb2YgdGhlIGdyZWVubGFuZCBpY2Ugc2hlZXQsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiTlNJREMtMDA1MlwiLFwiMVwiLDEzODYyMDY5NjAsMTAzXSJ9/NSIDC-0783_1",
+ "description": "The Extreme Ice Survey (EIS) Glacier Image Archive, 2007-2022 is a collection of images capturing changes in arctic and alpine landscapes. Camera sites were established and maintained at scientifically significant cryospheric locations around the world. The 1.5 million images in this collection provide crucial data on the speed and extent of glacial retreat.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0786_1",
"title": "NSCAT Twice-Daily SIR-Enhanced EASE-Grid 2.0 Radar Backscatter V001",
@@ -144715,6 +146613,19 @@
"description": "This product contains twice-daily radar backscatter data collected at 14.6 GHz for horizontal-horizontal and vertical-vertical receive radar channels from the SeaSat-A satellite scatterometer (SASS) sensor. Data are available on the Northern Hemisphere, Southern Hemisphere, and Temperate EASE-Grid 2.0 projections as either 25 km or 3.125 km resolution grids. The data set uses the drop-in-the bucket gridding (GRD) and Scatterometer Image Reconstruction (SIR) algorithms to process the individual swath-based data into twice-daily morning and evening images. The GRD algorithm produces SAR images (high-resolution) on a 25 km grid and the SIR algorithm produces slice and footprint images (both lower-resolution) on a 3.125 km grid, provided at 8-,16-, 32-day imaging intervals. The data coverage is global from 7 July 1978 through 10 Oct 1978.",
"license": "proprietary"
},
+ {
+ "id": "NSIDC-0788_1",
+ "title": "Automated Greenland Glacier Termini Position Time Series, Version 1",
+ "catalog": "NSIDCV0 STAC Catalog",
+ "state_date": "1972-01-01",
+ "end_date": "2022-01-01",
+ "bbox": "-75, 57, -8, 85",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2849438379-NSIDCV0.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2849438379-NSIDCV0.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections?cursor=eyJqc29uIjoiW1wiYXJjdGljIHNlYSBpY2UgY2hhcnRzIGZyb20gZGFuaXNoIG1ldGVvcm9sb2dpY2FsIGluc3RpdHV0ZSwgMTg5MyAtIDE5NTYsIHZlcnNpb24gMVwiLFwiTlNJRENWMFwiLFwiRzAyMjAzXCIsXCIxXCIsMTM4NjIwNjUzMyw5N10iLCJ1bW0iOiJbXCJhcmN0aWMgc2VhIGljZSBjaGFydHMgZnJvbSBkYW5pc2ggbWV0ZW9yb2xvZ2ljYWwgaW5zdGl0dXRlLCAxODkzIC0gMTk1NiwgdmVyc2lvbiAxXCIsXCJOU0lEQ1YwXCIsXCJHMDIyMDNcIixcIjFcIiwxMzg2MjA2NTMzLDk3XSJ9/NSIDC-0788_1",
+ "description": "This data set contains shapefiles of termini traces from 294 Greenland glaciers, derived using a deep learning algorithm (AutoTerm) applied to satellite imagery. The model functions as a pipeline, imputing publicly availably satellite imagery from Google Earth Engine (GEE) and outputting shapefiles of glacial termini positions for each image. Also available are supplementary data, including temporal coverage of termini traces, time series data of termini variations, and updated land, ocean, and ice masks derived from the Greenland Ice Sheet Mapping Project (GrIMP) ice masks.",
+ "license": "proprietary"
+ },
{
"id": "NSIDC-0791_1",
"title": "MODIS/Terra Global Annual 0.01Deg CMG Snow Cover Climatology V001",
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"description": "This data set contains an inventory of natural and anthropogenic methane emissions for all counties in the six New England states of Connecticut, Rhode Island, Massachusetts, Vermont, New Hampshire, and Maine. The inventory represents a snapshot in time (circa 1990-1994) and provides emission estimates for multiple sources including wetlands, landfills, ruminant animals, residential wood combustion, fossil fuel combustion and use, animal manure, wastewater treatment, and natural gas transmission pipelines. Also included is the uptake or sink of methane in relatively well-drained upland soils.",
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"description": "The New Hampshire Geographically Referenced Analysis and Information Transfer System (GRANIT) land cover data set provides a land cover and land use product at 30-m resolution with 23 individual classes across the state. The classification is based largely on the analysis of 12 Landsat Thematic Mapper (TM and ETM+) images. Over 1,400 new classification training site data points were collected to supplement 1,200 archived sites from previous projects. The classification represents a snapshot in time from 1996 to 2001. This time range spans the dates of the most recent acquisitions of a TM scene for each region of the state and the dates of the most recent field data collection.",
"license": "proprietary"
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"description": "This dataset provides chlorophyll fluorescence measurements made on pine and spruce needle tissues at the Niwot Ridge AmeriFlux Core site (US-NR1) near Nederland, Colorado, USA, during the summers of 2017 and 2018. Two types of measurements were made using pulse-amplitude-modulation (PAM) fluorometry: the photosystem II (PSII) operating efficiency in the light (Fq'/Fm' at variable light levels), and the maximum quantum efficiency of PSII photochemistry (Fv/Fm) on dark-acclimated tissues. Chlorophyll fluorescence measurements were made to determine seasonality of photosynthetic performance at the needle level.",
"license": "proprietary"
},
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"description": "This dataset provides concentrations of pigments in pine and spruce needle tissues collected at the Niwot Ridge AmeriFlux Core site (US-NR1) near Nederland, Colorado, USA, during the summers of 2017 and 2018. Pigments measured included Chlorophyll A and B, Violaxanthin, Antheraxanthin, Zeaxanthin, Neoxanthin, Lutein, and beta-Carotene. Measurements were made on sun foliage from two canopy-access towers near the main flux tower, and in the laboratory on branches collected from those towers, every 4-8 weeks over the annual cycle. Due to canopy structure, a limited number of trees were accessible from the towers, preventing extensive replication. Pigments were extracted in acetone and analyzed by HPLC. The measurements were made to evaluate seasonal changes associated with the down-regulation of photosynthesis.",
"license": "proprietary"
},
@@ -145023,7 +146934,7 @@
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"description": "The Nimbus Advanced Vidicon Camera System Visible Imagery L1, HDF5 (NmAVCS1H) data set consists of black-and-white images captured by the Advanced Vidicon Camera Systems onboard the Nimbus 1 (1964) and Nimbus 2 (1966) satellites. Data are provided as HDF5-formatted files. Browse images are also available.",
"license": "proprietary"
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"description": "This data set (NmAVCS3G) consists of daily image composites constructed from Nimbus 1 (1964) and Nimbus 2 (1966) Advanced Vidicon Camera System (AVCS) imagery for the region between 60 N and 60 S. Data are provided as GeoTIFFs. For the HDF5 formatted version of these data, see Nimbus Advanced Vidicon Camera System Remapped Visible Imagery Daily L3, HDF5.",
"license": "proprietary"
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@@ -145049,7 +146960,7 @@
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"description": "This data set (NmIcEdg2) estimates the location of the North and South Pole sea ice edges at various times during the mid to late 1960s, based on recovered Nimbus 1 (1964), Nimbus 2 (1966), and Nimbus 3 (1969) visible imagery.",
"license": "proprietary"
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"description": "This data set consists of daily, global grayscale TIFF images derived from radiative temperatures measured in the 11.5 \u00b5m window (10.5 \u00b5m - 12.5 \u00b5m). These data were detected by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4, Nimbus 5, and Nimbus 6 satellites, respectively, during 1970-1971, 1973-1975 and 1975. The Nimbus satellites used the THIR 11.5 \u00b5m window to measure cloud top or surface temperatures. Note: This data set is not georeferenced and contains some gaps in temporal coverage because of missing data.",
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"description": "This data set (NmTHIR115-3G) consists of daily, global composites of radiative temperatures obtained in the 11.5 \u00b5m window (10.5 \u00b5m - 12.5 \u00b5m) by the Temperature-Humidity Infrared Radiometer (THIR) on board the Nimbus 4 satellite. This window was used to measure cloud top or surface temperatures. Data files are GeoTIFF versions of the HDF-formatted equatorial projection file only from the Nimbus Temperature-Humidity Infrared Radiometer 11.5 \u00b5m Remapped Digital Data Daily L3, HDF5 (NmTHIR115-3H) data set.",
"license": "proprietary"
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"description": "This dataset provides a synthesis of winter ( September-April) in situ soil CO2 flux measurement data from locations across pan-Arctic and Boreal permafrost regions. The in situ data were compiled from 66 published and 21 unpublished studies conducted from 1989-2017. The data sources (publication references) are provided. Sampling sites spanned pan-Arctic Boreal and tundra regions (>53 Deg N) in continuous, discontinuous, and isolated/sporadic permafrost zones. The CO2 flux measurements were aggregated at the monthly level, or seasonally when monthly data were not available, and are reported as the daily average (g C m-2 day-1) over the interval. Soil moisture and temperature data plus environmental and ecological model driver data (e.g., vegetation type and productivity, soil substrate availability) are also included based on gridded satellite remote sensing and reanalysis sources.",
"license": "proprietary"
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"description": "Measurements made off the North Carolina coast.",
"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162118968-ORNL_CLOUD.html",
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"description": "This dataset includes vegetation cover maps, Normalized Difference Vegetation Index (NDVI) maps, snow depth and thaw depth data that were obtained as part of a biocomplexity project on the North Slope of Alaska, USA, and the Northwest Territories (NWT), Canada. In Alaska, seven sites are located along the Dalton Highway and in the Prudhoe Bay Oilfield area, forming a transect across the climate gradient of the North Slope. From South to North, the sites are Happy Valley, Sagwon (an acidic and nonacidic site), Franklin Bluffs, Deadhorse, West Dock and Howe Island. Four sites are in the NWT, forming a latitudinal gradient from South to North; the sites include Inuvik, Green Cabin, Mould Bay, and Isachsen.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170969582-ORNL_CLOUD.html",
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"description": "This data set provides four land cover and ecosystem classification maps for northern Alaska. The maps were produced for several projects and from different data sources including Landsat imagery and existing maps and models, and cover a range of ecosystem and vegetation classes. The data used to derive the maps covered the period 1976-08-04 to 2014-09-01.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360532-OB_DAAC.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360534-OB_DAAC.html",
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"description": "Measurements from the OASIS moorings at the mouth of the Monterey Bay in 1995.",
"license": "proprietary"
},
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"description": "Measurements made in the monsoonal Arabian Sea in 2009 to validate the Indian Satellite, OceanSat-2.",
"license": "proprietary"
},
@@ -145465,7 +147376,7 @@
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"description": "The Inland Waters dataset (ILW) provides data for lakes and other water bodies across the contiguous United States (CONUS) and Alaska. ILW significantly reduces the processing effort required by end users and is a standardized community resource for lake and reservoir algorithm development and performance assessment. The data is provided for 15,450 CONUS waterbodies with a size of at least one 300 m pixel and over 2,300 resolvable lakes with sizes greater than three 300 m pixels. Alaska has 5,874 lakes resolvable lakes. ILW was developed in collaboration with the Cyanobacteria Assessment Network (CyAN). Additional inland water details and resources, including maps of resolvable lakes and additional inland water products, such as true color imagery, are available at the CyAN site.",
"license": "proprietary"
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},
@@ -147796,19 +149707,6 @@
"description": "This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 AERUV product OMAERUV. This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 Aerosol product OMAERUV. OMAERUVG data product is a special Level-2 gridded product where pixel level products are binned into 0.25x0.25 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMAERUVG files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits mapped on the Global 0.25x0.25 deg Grids. The maximum file size for the OMAERUVG data product is about 50 Mbytes.",
"license": "proprietary"
},
- {
- "id": "OMAERUV_003",
- "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC",
- "catalog": "GES_DISC STAC Catalog",
- "state_date": "2004-10-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wib21pL2F1cmEgbGV2ZWwgMWIgdXYgZ2xvYmFsIGdlb2xvY2F0ZWQgZWFydGhzaGluZSByYWRpYW5jZXMgdjAwNCAob21sMWJydWcpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01MMUJSVUdcIixcIjRcIiwyMDQ1Nzk0Nzg0LDhdIiwidW1tIjoiW1wib21pL2F1cmEgbGV2ZWwgMWIgdXYgZ2xvYmFsIGdlb2xvY2F0ZWQgZWFydGhzaGluZSByYWRpYW5jZXMgdjAwNCAob21sMWJydWcpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01MMUJSVUdcIixcIjRcIiwyMDQ1Nzk0Nzg0LDhdIn0%3D/OMAERUV_003",
- "description": "The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes.",
- "license": "proprietary"
- },
{
"id": "OMAERUV_003",
"title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT",
@@ -147822,6 +149720,19 @@
"description": "The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ ",
"license": "proprietary"
},
+ {
+ "id": "OMAERUV_003",
+ "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC",
+ "catalog": "GES_DISC STAC Catalog",
+ "state_date": "2004-10-01",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wib21pL2F1cmEgbGV2ZWwgMWIgdXYgZ2xvYmFsIGdlb2xvY2F0ZWQgZWFydGhzaGluZSByYWRpYW5jZXMgdjAwNCAob21sMWJydWcpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01MMUJSVUdcIixcIjRcIiwyMDQ1Nzk0Nzg0LDhdIiwidW1tIjoiW1wib21pL2F1cmEgbGV2ZWwgMWIgdXYgZ2xvYmFsIGdlb2xvY2F0ZWQgZWFydGhzaGluZSByYWRpYW5jZXMgdjAwNCAob21sMWJydWcpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01MMUJSVUdcIixcIjRcIiwyMDQ1Nzk0Nzg0LDhdIn0%3D/OMAERUV_003",
+ "description": "The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes.",
+ "license": "proprietary"
+ },
{
"id": "OMAERUV_004",
"title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V004 (OMAERUV) at GES DISC",
@@ -147939,19 +149850,6 @@
"description": "This Level-2G daily global gridded product OMCLDRRG is based on the pixel level OMI Level-2 CLDRR product OMCLDRR. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner. OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMCLDRRG data products are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes.",
"license": "proprietary"
},
- {
- "id": "OMCLDRR_003",
- "title": "OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 NRT",
- "catalog": "OMINRT STAC Catalog",
- "state_date": "2004-07-15",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMCLDRR_003",
- "description": "The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml . A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/",
- "license": "proprietary"
- },
{
"id": "OMCLDRR_003",
"title": "OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 (OMCLDRR) at GES DISC",
@@ -147965,6 +149863,19 @@
"description": "The reprocessed Aura Ozone Monitoring Instrument (OMI) Version 003 Level 2 Cloud Data Product OMCLDRR is available to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. The OMCLDRR files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes.",
"license": "proprietary"
},
+ {
+ "id": "OMCLDRR_003",
+ "title": "OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 NRT",
+ "catalog": "OMINRT STAC Catalog",
+ "state_date": "2004-07-15",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMCLDRR_003",
+ "description": "The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml . A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/",
+ "license": "proprietary"
+ },
{
"id": "OMCLDRR_004",
"title": "OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V004 (OMCLDRR) at GES DISC",
@@ -148052,7 +149963,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360570-OB_DAAC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360570-OB_DAAC.html",
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+ "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections?cursor=eyJqc29uIjoiW1wibm9ydGggYXRsYW50aWMgdHJhbnNlY3QgKGFudCkgcHJvZ3JhbVwiLFwiT0JfREFBQ1wiLFwiQU5UXCIsXCIwXCIsMTYzMzM2MDEwMyw2MF0iLCJ1bW0iOiJbXCJub3J0aCBhdGxhbnRpYyB0cmFuc2VjdCAoYW50KSBwcm9ncmFtXCIsXCJPQl9EQUFDXCIsXCJBTlRcIixcIjBcIiwxNjMzMzYwMTAzLDYwXSJ9/OMEXII_0",
"description": "Measurements made under the OMEX-II project were made along the Northwest European continental shelf between 1997 and 1999.",
"license": "proprietary"
},
@@ -148927,19 +150838,6 @@
"description": "This Level-2G daily global gridded product OMSO2G is based on the pixel level OMI Level-2 SO2 product OMSO2. OMSO2G data product is a special Level-2 gridded product where pixel level products are binned into 0.125x0.125 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMSO2G data product contains almost all parameters that are contained in OMSO2 files. For example, in addition to three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm, and ancillary parameters, e.g., UV aerosol index, cloud fraction, cloud pressure, geolocation, solar and satellite viewing angles, and quality flags. The OMSO2G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 146 Mbytes.",
"license": "proprietary"
},
- {
- "id": "OMSO2_003",
- "title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC",
- "catalog": "GES_DISC STAC Catalog",
- "state_date": "2004-10-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wib21pL2F1cmEgbm8yIGNsb3VkLXNjcmVlbmVkIHRvdGFsIGFuZCB0cm9wb3NwaGVyaWMgY29sdW1uIGwzIGdsb2JhbCBncmlkZGVkIDAuMjUgZGVncmVlIHggMC4yNSBkZWdyZWUgdjMgKG9tbm8yZCkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJPTU5PMmRcIixcIjNcIiwxMjY2MTM2MTExLDQ1XSIsInVtbSI6IltcIm9taS9hdXJhIG5vMiBjbG91ZC1zY3JlZW5lZCB0b3RhbCBhbmQgdHJvcG9zcGhlcmljIGNvbHVtbiBsMyBnbG9iYWwgZ3JpZGRlZCAwLjI1IGRlZ3JlZSB4IDAuMjUgZGVncmVlIHYzIChvbW5vMmQpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01OTzJkXCIsXCIzXCIsMTI2NjEzNjExMSw0NV0ifQ%3D%3D/OMSO2_003",
- "description": "The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources. Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li. The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds.",
- "license": "proprietary"
- },
{
"id": "OMSO2_003",
"title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT",
@@ -148953,6 +150851,19 @@
"description": "The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004 (1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly available from NASA GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm. It also contains quality flags, geolocation and other ancillary information. The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu). OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php ) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/. For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below. http://disc.sci.gsfc.nasa.gov/Aura/ http://disc.gsfc.nasa.gov/acdisc/",
"license": "proprietary"
},
+ {
+ "id": "OMSO2_003",
+ "title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC",
+ "catalog": "GES_DISC STAC Catalog",
+ "state_date": "2004-10-01",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wib21pL2F1cmEgbm8yIGNsb3VkLXNjcmVlbmVkIHRvdGFsIGFuZCB0cm9wb3NwaGVyaWMgY29sdW1uIGwzIGdsb2JhbCBncmlkZGVkIDAuMjUgZGVncmVlIHggMC4yNSBkZWdyZWUgdjMgKG9tbm8yZCkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJPTU5PMmRcIixcIjNcIiwxMjY2MTM2MTExLDQ1XSIsInVtbSI6IltcIm9taS9hdXJhIG5vMiBjbG91ZC1zY3JlZW5lZCB0b3RhbCBhbmQgdHJvcG9zcGhlcmljIGNvbHVtbiBsMyBnbG9iYWwgZ3JpZGRlZCAwLjI1IGRlZ3JlZSB4IDAuMjUgZGVncmVlIHYzIChvbW5vMmQpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01OTzJkXCIsXCIzXCIsMTI2NjEzNjExMSw0NV0ifQ%3D%3D/OMSO2_003",
+ "description": "The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources. Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li. The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds.",
+ "license": "proprietary"
+ },
{
"id": "OMSO2_CPR_003",
"title": "OMI/Aura Level 2 Sulphur Dioxide (SO2) Trace Gas Column Data 1-Orbit Subset and Collocated Swath along CloudSat V003 (OMSO2_CPR) at GES DISC",
@@ -148992,19 +150903,6 @@
"description": "This Level-2G daily global gridded product OMTO3G is based on the pixel level OMI Level-2 Total Ozone Product OMTO3. The OMTO3 product is from the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. The OMTO3G data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree global grids. It contains the data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMTO3G data product contains almost all parameters that are contained in the OMTO3. For example, in addition to the total column ozone it also contains UV aerosol index, cloud fraction, cloud pressure, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The OMTO3G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 150 Mbytes.",
"license": "proprietary"
},
- {
- "id": "OMTO3_003",
- "title": "OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT",
- "catalog": "OMINRT STAC Catalog",
- "state_date": "2004-07-15",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMTO3_003",
- "description": "The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ .",
- "license": "proprietary"
- },
{
"id": "OMTO3_003",
"title": "OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC",
@@ -149018,6 +150916,19 @@
"description": "The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia. The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB.",
"license": "proprietary"
},
+ {
+ "id": "OMTO3_003",
+ "title": "OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT",
+ "catalog": "OMINRT STAC Catalog",
+ "state_date": "2004-07-15",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMTO3_003",
+ "description": "The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ .",
+ "license": "proprietary"
+ },
{
"id": "OMTO3_CPR_003",
"title": "OMI/Aura Level 2 Ozone (O3) Total Column 1-Orbit Subset and Collocated Swath along CloudSat track 200-km wide at 13x24 km2 resolution",
@@ -149044,19 +150955,6 @@
"description": "The OMI science team produces this Level-3 daily global TOMS-Like Total Column Ozone gridded product OMTO3d (1 deg Lat/Lon grids). The OMTO3d product is produced by gridding and averaging only good quality level-2 total column ozone orbital swath data (OMTO3, based on the enhanced TOMS version-8 algorithm) on the 1x1 degree global grids. The OMTO3d files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3d data product is about 0.65 Mbytes.",
"license": "proprietary"
},
- {
- "id": "OMTO3e_003",
- "title": "OMI/Aura TOMS-Like Ozone and Radiative Cloud Fraction L3 1 day 0.25 degree x 0.25 degree V3 (OMTO3e) at GES DISC",
- "catalog": "GES_DISC STAC Catalog",
- "state_date": "2004-10-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1266136071-GES_DISC.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1266136071-GES_DISC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wib21pL2F1cmEgbm8yIGNsb3VkLXNjcmVlbmVkIHRvdGFsIGFuZCB0cm9wb3NwaGVyaWMgY29sdW1uIGwzIGdsb2JhbCBncmlkZGVkIDAuMjUgZGVncmVlIHggMC4yNSBkZWdyZWUgdjMgKG9tbm8yZCkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJPTU5PMmRcIixcIjNcIiwxMjY2MTM2MTExLDQ1XSIsInVtbSI6IltcIm9taS9hdXJhIG5vMiBjbG91ZC1zY3JlZW5lZCB0b3RhbCBhbmQgdHJvcG9zcGhlcmljIGNvbHVtbiBsMyBnbG9iYWwgZ3JpZGRlZCAwLjI1IGRlZ3JlZSB4IDAuMjUgZGVncmVlIHYzIChvbW5vMmQpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01OTzJkXCIsXCIzXCIsMTI2NjEzNjExMSw0NV0ifQ%3D%3D/OMTO3e_003",
- "description": "The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. The OMTO3e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes.",
- "license": "proprietary"
- },
{
"id": "OMTO3e_003",
"title": "OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT",
@@ -149070,6 +150968,19 @@
"description": "The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) .",
"license": "proprietary"
},
+ {
+ "id": "OMTO3e_003",
+ "title": "OMI/Aura TOMS-Like Ozone and Radiative Cloud Fraction L3 1 day 0.25 degree x 0.25 degree V3 (OMTO3e) at GES DISC",
+ "catalog": "GES_DISC STAC Catalog",
+ "state_date": "2004-10-01",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1266136071-GES_DISC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1266136071-GES_DISC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wib21pL2F1cmEgbm8yIGNsb3VkLXNjcmVlbmVkIHRvdGFsIGFuZCB0cm9wb3NwaGVyaWMgY29sdW1uIGwzIGdsb2JhbCBncmlkZGVkIDAuMjUgZGVncmVlIHggMC4yNSBkZWdyZWUgdjMgKG9tbm8yZCkgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJPTU5PMmRcIixcIjNcIiwxMjY2MTM2MTExLDQ1XSIsInVtbSI6IltcIm9taS9hdXJhIG5vMiBjbG91ZC1zY3JlZW5lZCB0b3RhbCBhbmQgdHJvcG9zcGhlcmljIGNvbHVtbiBsMyBnbG9iYWwgZ3JpZGRlZCAwLjI1IGRlZ3JlZSB4IDAuMjUgZGVncmVlIHYzIChvbW5vMmQpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01OTzJkXCIsXCIzXCIsMTI2NjEzNjExMSw0NV0ifQ%3D%3D/OMTO3e_003",
+ "description": "The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. The OMTO3e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes.",
+ "license": "proprietary"
+ },
{
"id": "OMUANC_004",
"title": "Primary Ancillary Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km V4 (OMUANC) at GES DISC",
@@ -149222,7 +151133,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360571-OB_DAAC.html",
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"description": "Measurements taken along the mid-Atlantic coast and near Bermuda as part of the ONDEQUE program in 2007 and 2008.",
"license": "proprietary"
},
@@ -149248,7 +151159,7 @@
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+ "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections?cursor=eyJqc29uIjoiW1wibm9ydGggYXRsYW50aWMgdHJhbnNlY3QgKGFudCkgcHJvZ3JhbVwiLFwiT0JfREFBQ1wiLFwiQU5UXCIsXCIwXCIsMTYzMzM2MDEwMyw2MF0iLCJ1bW0iOiJbXCJub3J0aCBhdGxhbnRpYyB0cmFuc2VjdCAoYW50KSBwcm9ncmFtXCIsXCJPQl9EQUFDXCIsXCJBTlRcIixcIjBcIiwxNjMzMzYwMTAzLDYwXSJ9/ONR-MAB_0",
"description": "Mid-Atlantic Bight measurements taken between 1996 and 1999.",
"license": "proprietary"
},
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"description": "Optical sensors were added to some of the 17 meteorological ODAS (Ocean Data Acquisition System) buoys which provide weather and ocean data along and off the west coast of Canada for the Environment (EC) and the Fisheries and Ocean departments (DFO) of the Canadian federal government. This dataset includes Photosynthetically Active Radiation (PAR) data from two locations: Halibut Bank (buoy code 46146) and Saanich Inlet near the Institute of Ocean Sciences (buoy code 46134). For additional information please refer to Gower et al., 1999 (DOI:10.1109/OCEANS.1999.800169)",
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"description": "The Peace-Athabasca Delta (PAD) is a hydrologically complex and ecologically diverse freshwater delta formed by the confluence of the Peace, Athabasca, and Birch Rivers near the western end of Lake Athabasca, Alberta, Canada. This data set includes 3 comma-delimited ASCII files: one containing water quality data and site characteristics from June and July 2010, a second containing water quality data and site characteristics for June and July 2011, and a third containing spectral reflectance of the water surface for 2011. The 2010 data file has measurements from 62 unique sites, the majority of which were revisited in 2011. Both of the 2011 data files have measurements from 99 unique sites visited 1-4 times. ",
"license": "proprietary"
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"description": "The Peace-Athabasca Delta (PAD) is a large boreal wetland located in northeastern Alberta, Canada at the confluence of the Peace and Athabasca Rivers with Lake Athabasca (Figures 1 and 2). A Ramsar Convention wetland and UNESCO World Heritage Site, it is among the world's most ecologically significant wetlands. This data set contains four comma-delimited ASCII files, two of which contain water surface elevation site and measurement information and two contain water quality and ancillary parameter location and measurement data for 120 sites within the PAD.Data archived include water surface elevation and water quality parameters measured at points throughout the Delta during summers 2006 and 2007. These data sets were originally collected to improve understanding of hydrologic recharge processes in low-relief environments and to provide ground-based measurements to validate satellite observations of inundation and sediment transport. All work was supported by the NASA Terrestrial Hydrology Program under grant NNG06GE05G to the Department of Geography, University of California-Los Angeles, Los Angeles, California. ",
"license": "proprietary"
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"description": "Measurements made under the Long Term Ecological Research Network (LTER) Palmer Station Antarctica (PAL) program.",
"license": "proprietary"
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"description": "PATagonia EXperiment (PATEX) Project is a Brazilian research project, which has the overall objective of characterizing the environmental constraints, phytoplankton assemblages, primary production rates, bio-optical characteristics, and air-sea CO2 fluxes waters along the Argentinean shelf-break during austral spring and summer. A set of seven PATEX cruises were conducted from 2004 to 2009. Garcia et al., 2011 (doi:10.1029/2010JC006595)",
"license": "proprietary"
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"description": "This data set provides the mean diurnal cycle of precipitation, near-surface thermodynamics, and surface fluxes generated from short-term forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) model.The model outputs were 12- to 36-hour short-range forecasts, run at a triangular truncation of T319 and a vertical resolution of 60 levels, from each daily 1200 (UTC) analysis. The version of the forecast model used to prepare this data product was the operational ECMWF model in fall 2000, which included the tiled land-surface scheme (TESSEL) (Van den Hurk et al., 2000) and recent revisions to the convection, radiation, and cloud schemes described by Gregory et al., (2000). The ECMWF model was run for two Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) campaigns conducted in Rondonia, Brazil, during January and February of 1999: the Wet Season Atmospheric Mesoscale Campaign (WETAMC) and the Tropical Rainfall Measuring Mission (TRMM). See Silva Dias et al.,(2002) for additional information regarding the WETAMAC and TRMM campaigns. There are two comma-delimited data files with this data set: the ECMWF model output data and a file containing the mean hourly precipitation observations used to check the model output for biases.",
"license": "proprietary"
},
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"description": "Measurements from the PEACETIME (ProcEss studies at the Air-sEa Interface after dust deposition in the MEditerranean sea) project in the Mediterranean Sea to characterize biogeochemical processes in the atmosphere, at the air-sea boundary layer, and in the water.",
"license": "proprietary"
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"description": "Measurements made along the northern coast of Peru in 2003.",
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"description": "Measurements from the PICOLO experiment in the Central Eastern Atlantic Ocean off the African Coast from 1997.",
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"description": "Measurements made during 1993 and 1994 in the North Sea as part of Phytoplankton Monitoring in the North Sea (PMNS).",
"license": "proprietary"
},
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"description": "Measurements made during the Programme Ocean Multidisciplinaire Meso-Echelle (POMME) or Multidisciplinary middle-level ocean program in 2001.",
"license": "proprietary"
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"description": "Measurements made under the Pearl River Estuary Pollution Project (PREPP) near Hong Kong in 2001.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1653653748-OB_DAAC.html",
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"license": "proprietary"
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"description": "Flight line benthic cover measurements from the Portable Remote Imaging Spectrometer (PRISM) instrument aboard the Tempus Applied Solutions Gulfstream-IV (G-IV) aircraft, taken as part of the NASA COral Reef Airborne Laboratory (CORAL) Earth Venture Suborbital-2 (EVS-2) mission designed to provide an extensive, uniform picture of coral reef composition. The CORAL mission surveyed parts of the reefs surrounding the Mariana Islands, Palau, portions of the Great Barrier Reef, the main Hawaiian Islands, and the Florida Keys.",
"license": "proprietary"
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"description": "The estuarine waters of Elkhorn Slough terminating in Monterey Bay, California present an excellent study site for testing the limits of hyperspectral imaging spectroscopy in a region with turbid sediment-laden waters and diverse coastal habitats including eelgrass and salt marsh. In July 2012, we undertook a field validation in this region of the Portable Remote Imaging SpectroMeter (PRISM), a new imaging sensor package optimized for coastal ocean processes. PRISM provides spatial resolutions up to 30 cm and spectral resolutions of 3 nm. In-situ sampling was conducted concurrent to the PRISM flights to measure inherent optical properties of the water column and sample selected benthic and coastal habitat spectral targets.",
"license": "proprietary"
},
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"description": "Measurements made off the coast of southern Brazil from 2005 to 2007 under PRONEX.",
"license": "proprietary"
},
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"description": "Measurements from Monterey Bay from 2001 to 2003.",
"license": "proprietary"
},
+ {
+ "id": "PVST_HOTPACE_0",
+ "title": "Leveraging the Hawaii Ocean Time-series program for validation of the PACE Mission in oligotrophic waters",
+ "catalog": "OB_DAAC STAC Catalog",
+ "state_date": "2024-01-01",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3237734838-OB_DAAC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3237734838-OB_DAAC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections?cursor=eyJqc29uIjoiW1wibGFicmFkb3Igc2VhIG1lYXN1cmVtZW50cyBpbiAxOTk2XCIsXCJPQl9EQUFDXCIsXCJMYWI5NlwiLFwiMFwiLDE2MzMzNjA0MTYsMjddIiwidW1tIjoiW1wibGFicmFkb3Igc2VhIG1lYXN1cmVtZW50cyBpbiAxOTk2XCIsXCJPQl9EQUFDXCIsXCJMYWI5NlwiLFwiMFwiLDE2MzMzNjA0MTYsMjddIn0%3D/PVST_HOTPACE_0",
+ "description": "In this project, we leverage the near-monthly, 5-day long expeditions to oligotrophic waters approximately 100 km from Oahu, Hawaii, conducted by the Hawaii Ocean Time-series (HOT) program. We will participate in ~30 HOT cruises across all seasons over a 3-year period, amounting to ~ 150 days of high-quality collection of a suite of essential parameters for PACE Mission validation.",
+ "license": "proprietary"
+ },
{
"id": "PVST_NORTHERN_INDIAN_OCEAN_0",
"title": "Arabian Sea bio-optical and biogeochemical data for ocean color validation",
@@ -152992,7 +154916,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2945078437-OB_DAAC.html",
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"description": "The Laurentian Great Lakes provide extensive optical and trophic variability across diverse ecosystems, from environments challenged by current and legacy nutrient pollution and continuing water quality impairments, e.g., harmful algal blooms (HABs) and hypoxia, to relatively pristine aquatic systems with emerging water quality concerns such as Lake Superior. This project will conduct high density sampling of the Great Lakes in space and time to provide a diversity of reflectance spectra broadly representative of the fundamental inherent optical properties (IOPs) and biogeochemical conditions observed across inland and coastal systems globally. Station locations are responsive to in situ conditions and potential for PACE validation, but are generally located in Lake Eries western and central basins, southwestern Lake Michigan and Green Bay, and the central basin and the western arm of Lake Superior. Sampling uses coastal class vessels that enable rapid transit between stations and range in size from 25 to 70 ft. Data collected includes above water radiometry (SVC HR-512i), discrete spectral absorption (ap, aph, aNAP, aCDOM), hyperspectral backscattering (Sequoia hyper-bb), physical and optical biogeochemical variability (YSI EXO2 water quality sonde), and discrete biogeochemical parameters (HPLC pigments, DOC, POC, and SPM). Data will be collected in every month of the year over the course of a three-year period, ensuring seasonal matchups for PACE OCI science data products in the winter and shoulder seasons that remain chronically under observed.",
"license": "proprietary"
},
@@ -153018,7 +154942,7 @@
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"license": "proprietary"
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"description": "Measurements made in the South Atlantic Ocean in 2008 and 2009 off the Argentinian coast near Drakes Passage.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864221-ORNL_CLOUD.html",
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"description": "This data set provides a time series of global peatland carbon balance and carbon dioxide emissions from land use change throughout the Holocene (the past 11,000 yrs). Global peatland carbon balance was quantified using a) a continuous net carbon balance history throughout the Holocene derived from a data set of 64 dated peat cores, and b) global model simulations with the LPX-Bern model hindcasting the dynamics of past peatland distribution and carbon balance. CO2 emissions from land-use change are based on published scenarios for anthropogenic land use change (HYDE 3.1, HYDE 3.2, KK10) covering the last 10,000 years. This combination of model estimates with CO2 budget constraints narrows the range of past anthropogenic land use change emissions and their contribution to past carbon cycle changes.",
"license": "proprietary"
},
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"license": "proprietary"
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"description": "Measurements made in the Penobscot Bay between 2007 and 2008.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2254686682-ORNL_CLOUD.html",
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"description": "This dataset consists of an ensemble of model projections from 1901 to 2299 for the northern hemisphere permafrost domain. The model projections include monthly average values for a common set of diagnostic outputs at a spatial resolution of 0.5 x 0.5 degrees latitude and longitude. The model simulations resulted from a synthesis effort organized by the Permafrost Carbon Network to evaluate the impacts of climate change on the carbon cycle in permafrost regions in the high northern latitudes. The model teams used different historical input weather data, but most used driver data developed by the Climate Research Unit - National Centers for Environmental Prediction (CRUNCEP) as modified for the Multiscale Terrestrial Model Intercomparison Project (MsTMIP). The teams scaled the driver data for the projections using output from global climate models from the fifth Coupled Model Intercomparison Project (CMIP5). The synthesis evaluated the terrestrial carbon cycle in the modern era and projected future emissions of carbon under two climate warming scenarios: Representative Concentration Pathways 4.5 and 8.5 (RCP45 and RCP85) from CMIP5. RCP45 represents emissions resulting in a global climate close to the target climate in the Paris Accord. RCP85 represents unconstrained greenhouse gas emissions.",
"license": "proprietary"
},
@@ -153148,7 +155072,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764826583-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764826583-ORNL_CLOUD.html",
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"description": "This data set provides a time series of vegetation phenological observations for 393 sites across diverse ecosystems of the world (mostly North America) from 2000-2018. The phenology data were derived from conventional visible-wavelength automated digital camera imagery collected through the PhenoCam Network at each site. From each acquired image, RGB (red, green, blue) color channel information was extracted and means and other statistics calculated for a region-of-interest (ROI) that delineates an area of specific vegetation type. From the high-frequency (typically, 30 minute) imagery collected over several years, time series characterizing vegetation color, including canopy greenness, plus greenness rising and greenness falling transition dates, were summarized over 1- and 3-day intervals.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764728896-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764728896-ORNL_CLOUD.html",
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"description": "This dataset provides a time series of visible-wavelength digital camera imagery collected through the PhenoCam Network at each of 393 sites predominantly in North America from 2000-2018. The raw imagery was used to derive information on phenology, including time series of vegetation color, canopy greenness, and phenology transition dates for the PhenoCam Dataset v2.0. ",
"license": "proprietary"
},
@@ -153174,7 +155098,7 @@
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"description": "This land surface phenology (LSP) dataset provides spatially explicit data related to the timing of phenological changes such as the start, peak, and end of vegetation activity, vegetation index metrics and associated quality assurance flags. The data are for the growing seasons of 2017-2021 for 10-km x 10-km windows centered over 104 eddy covariance towers at AmeriFlux and National Ecological Observatory Network (NEON) sites. The dataset is derived at 3-m spatial resolution from PlanetScope imagery across a range of plant functional types and climates in North America. These LSP data can be used to assess satellite-based LSP products, to evaluate predictions from land surface models, and to analyze processes controlling the seasonality of ecosystem-scale carbon, water, and energy fluxes. The data are provided in NetCDF format along with geospatial area-of-interest information and visualizations of the analysis window for each site in GeoJSON and HTML formats.",
"license": "proprietary"
},
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"description": "This dataset provides Landsat phenology algorithm (LPA) derived start and end of growing seasons (SOS and EOS) at 500-m resolution for deciduous and mixed forest areas of 75 selected Landsat sidelap regions across the Eastern United States and Canada. The data are a 30-year time series (1984-2013) of derived spring and autumn phenology for forested areas of the Eastern Temperate Forest, Northern Forest, and Taiga ecoregions.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2240727642-ORNL_CLOUD.html",
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"description": "This dataset includes field measurements from unburned and burned 10 m x 10 m and 1 m x 1 m plots in the Noatak, Seward, and North Slope regions of the Alaskan tundra during July through August in the years 2016-2018. The data include vegetation coverage, soil moisture, soil temperature, soil thickness, thaw depth, and weather measurements. Measurements were recorded using ocular assessments and standard equipment. Plot photographs are included.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360616-OB_DAAC.html",
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"description": "The Plumes and Blooms program is a joint collaboration among UCSB faculty, student and staff researchers at the Institute of Computational Earth System Science (ICESS), NOAA researchers at the Coastal Services Center (Charleston, SC) and the NOAA sanctuary managers of the Channel Islands National Marine Sanctuary (CINMS). Since August, 1996, monthly research cruises have been conducted to collect measurements. These measurements include temperature and salinity, ocean color spectra, and water column profiles of red light transmission and chlorophyll fluorescence (indexes of suspended particulate load and phytoplankton abundance). The transect observations begin at the shelf waters north of Santa Rosa island and end at an area off Goleta Point. These repeat observations are combined with satellite imagery to build a time-series of the changing ocean color conditions in the Santa Barbara Channel.",
"license": "proprietary"
},
@@ -153343,7 +155267,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236236883-ORNL_CLOUD.html",
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"description": "This data set provides 3-hourly estimates of gross ecosystem CO2 exchange (GEE) and respiration (autotrophic and heterotrophic) for the state of Alaska from 2012 to 2014. The data were generated using the Polar Vegetation Photosynthesis and Respiration Model (PolarVPRM) and are provided at ~ 1 km2 [1/4-degree (longitude) by 1/6-degree (latitude)] pixel resolution. The PolarVPRM produces high-frequency estimates of GEE of CO2 for North American biomes from remotely-sensed data sets. For Alaska, the model used meteorological inputs from the North American regional re-analysis (NARR) and inputs of fractional snow cover and land surface water index (LSWI) from the Moderate Resolution Imaging Spectroradiometer (MODIS). Land surface greenness was factored into the model from three sources: 1) Enhanced Vegetation Index (EVI) from MODIS; 2) Solar Induced Florescence (SIF) from the Orbiting Carbon Observatory 2 (OCO-2); and 3) SIF from the Global Ozone Monitoring Experiment 2 (GOME-2). Three independent estimates of GEE are included in the data set, one for each source of greenness observations.",
"license": "proprietary"
},
@@ -153447,7 +155371,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854211353-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854211353-ORNL_CLOUD.html",
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"description": "This dataset provides site moisture, soil organic layer thickness, soil organic carbon, nonvascular plant functional group, stand dominance, ecozone, time-after-fire, jack pine proportion, and deciduous proportion for 511 forested plots spanning ~140,000 km2 across two ecozones of the Northwest Territories, Canada (NWT). The plots were established during 2015-2018 across 41 wildfire scars and unburned areas (no burn history prior to 1965), with 317 plots in the Plains and 194 plots in the Shield regions. At each plot, two adjacent 30-m transects were established 2 m apart, running north from the plot origin. Soil organic layer (SOL) depth (cm) was measured every 3 m and the mean was taken from the 10 measurements to calculate a plot-level SOL thickness. Three soil organic layer profiles were destructively sampled at 0, 12, and 24 m using a corer that was custom designed for NWT soils. Within the transects, all stems taller than 1.37 m were identified to species to calculate tree density (stems / m2). Nonvascular plant percent cover was identified to functional group at five, 1-m2 quadrats spaced 6 m apart along the belt transect. A subset of 2,067 of 5,137 total increments from 1,803 profiles from 421 plots were analyzed for total percent C using a CHN analyzer. Time-after-fire was established using fire history records. For older plots where no known fire history is recorded, tree age was used. Data are for the period 2015-06-11 to 2018-08-24 and are provided in comma-separated values (CSV) format.",
"license": "proprietary"
},
@@ -153460,7 +155384,7 @@
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"description": "This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multi-look complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over 10 study sites across Northern Alaska, USA. Flight campaigns took place in August 2014, October 2014, April 2015, August 2015, September 2015, and October 2015. The acquired L1 P-band radar backscatter data will be used to derive estimates of soil water content and permafrost state at the study sites.",
"license": "proprietary"
},
@@ -153473,7 +155397,7 @@
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"description": "This dataset provides river discharge measurements collected at selected locations across the Atchafalaya River Basin, within the Mississippi River Delta (MRD) floodplain in coastal Louisiana, USA. The measurements were made during the Pre-Delta-X campaign on October 15 to 20, 2016. Seventy-five channel surveys were conducted with a SonTek RiverSurveyor M9 acoustic doppler current profiler (ADCP) on selected wide channels (~100 m) and a few selected (~10 m) narrow channels. ADCP data provide near-instantaneous estimates of river discharge across the sampled channels. Sites coincided with AirSWOT swaths in the Atchafalaya River Basin and water level measurement locations. This in situ dataset was used to calibrate and validate Delta-X hydrodynamic models.",
"license": "proprietary"
},
@@ -153486,7 +155410,7 @@
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"description": "This dataset contains lidar-derived water surface elevation profiles for river channels between Wax Lake, in the Atchafalaya River Basin of the Mississippi River Delta, and the Gulf of Mexico. The provided elevation profiles (i.e., water levels) were estimated using remotely sensed lidar data in combination with in situ field measurements of water levels for elevation calibration and to quantify uncertainty in estimates. The lidar data were collected during the Fall 2016 Pre-Delta-X Campaign using an Airborne Snow Observatory (ASO) lidar instrument. The results are time-specific water levels measured as elevation in meters with respect to the North American Vertical Datum 1988 (NAVD 88) geoid (or orthometric height) and the World Geodetic System 1984 (WGS 84) ellipsoidal surface (or ellipsoidal/GPS height) along the water channels in this drainage system.",
"license": "proprietary"
},
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"description": "This dataset provides measurements of in situ remote-sensing reflectance (Rrs; per steradian) of surface water across Atchafalaya Basin, southern coastal Louisiana, USA within Mississippi River Delta (MRD) floodplain. The in situ spectral reflectance measurements were made during the Pre-Delta-X campaign in Fall 2016 (October 14 to 2). Hand-held spectrometer measurements were collected from a boat at 35 locations selected to represent a range of suspended sediment concentrations and properties from a variety of hydrodynamic and physical settings typically encountered across the Atchafalaya basin. These 35 spectral reflectance measurements were collected at 24 unique sites that coincide with measurements of total suspended solids (TSS). The data serves two main purposes, to ground-truth the remote-sensing reflectance derived from NASA's Airborne Visible-Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG) instrument, and to calibrate and validate algorithms for the retrieval of TSS from AVIRIS-NG.",
"license": "proprietary"
},
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"description": "This Level 2 (L2) dataset provides surface spectral reflectance data acquired over the Atchafalaya and Terrebonne basins of the Mississippi River Delta (MRD) of coastal Louisiana, USA, in 2015-2016. The data include georectified images with Lambertian-equivalent surface reflectance and composite mosaics with adjustments for Bidirectional Reflectance Distribution Function (BRDF) effects. The imagery was acquired by the Airborne Visible/Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG), as part of the Pre-Delta-X campaign.",
"license": "proprietary"
},
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"description": "This dataset provides water surface elevations over the Wax Lake Delta in the Atchafalaya Basin in coastal Louisiana, USA, in May 2015. These Level 2 (L2) data were collected by AirSWOT, an airborne instrument employing near-nadir wide-swath Ka-band radar interferometry to measure water-surface elevation and produce continuous gridded elevation data at 3.6 m resolution. Along with elevation estimates, the dataset includes measures of estimation errors, sensitivity, incidence angle, backscatter, and interferometric correlation. For this application, in situ water level data were added into the AirSWOT phase calibration procedure. These L2 data consist of a set of rasters in Universal Transverse Mercator (UTM) map coordinates for each of the 39 AirSWOT flight lines. These elevation data were later used for calculating elevation and slopes along the main channels in this wetland system, as well as tying observations to ocean tidal conditions.",
"license": "proprietary"
},
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"description": "This dataset includes aboveground biomass (AGB) and vegetation of herbaceous and forest wetland at 5.4 m resolution across the Wax Lake Delta (WLD) in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. Vegetation classes were derived from Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) imagery acquired over the Atchafalaya Basin and the Terrebonne Basin in October 2016 in combination with a digital elevation model. The AVIRIS-NG surface reflectance data were also combined with L-band Uninhabited Airborne Vehicle Synthetic Aperture Radar (UAVSAR) HV backscatter and scattering component values from coincident vegetation sample sites to develop and test AGB models for emergent herbaceous and forested wetland vegetation. This study used the integrated airborne data from AVIRIS-NG and UAVSAR to assess the instruments' unique capabilities in combination for estimating AGB in coastal deltaic wetlands. The 5.4 m resolution vegetation classification map for the WLD study area was then used to apply the best models to estimate AGB across the WLD.",
"license": "proprietary"
},
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"description": "This dataset includes total suspended solids (TSS) at the water surface across the Atchafalaya and Terrebonne Basins in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. AVIRIS-NG, the Next Generation Airborne Visible to Infrared Imaging Spectrometer, acquired data over the study area in 2015 and 2016. The remote imageries were combined with coincident field measurements to develop and validate spatially explicit estimates at 3.7-5.4 m resolution of the concentration (mg/L) of TSS.",
"license": "proprietary"
},
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"description": "This dataset contains water level profiles generated from the AirSWOT data collected in the Atchafalaya Basin in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. Part of the Pre-Delta-X Campaign, AirSWOT used near-nadir wide-swath Ka-band radar interferometry to measure water-surface elevation and uncertainty in May 2015. This Level 3 (L3) AirSWOT dataset is in the form of numerous profiles of water level along the Wax Lake Outlet.",
"license": "proprietary"
},
@@ -153577,7 +155501,7 @@
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"description": "This dataset provides water depths and water surface elevations collected during bathymetric surveys of the main channel of the Wax Lake Delta within the Mississippi River Delta (MRD) floodplain of coastal Louisiana, USA. The measurements were made during the Pre-Delta-X Campaign in Fall 2016. The in situ continuous (1 Hz) surveys of channel bathymetry were conducted using a SonarMite Hydrolite Single Beam Echo Sounder mounted on the side of the research boat. The sounder was located directly beneath the Septentrio global navigation satellite system (GNSS) antenna, about 30 cm below the water surface. The sounder depth observations were integrated with the GNSS location and elevation data into one data file per day for October 16-20. These bathymetry measurements were used to generate a merged digital elevation model (DEM) through interpolation with ancillary DEMs to expand the existing wetland DEM to include channels. The merged DEM product is distributed in GeoTIFF format.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025123470-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025123470-ORNL_CLOUD.html",
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"description": "This dataset contains the total suspended solids (TSS) concentration of in situ water samples collected at selected sites across the Atchafalaya and Terrebonne Basins within the Mississippi River Delta (MRD) floodplain of coastal Louisiana, USA. The measurements were made during the Pre-Delta-X campaign in Spring 2015 and Fall 2016. The sampling sites spanned large and small channels at locations chosen to cover a representative range of suspended sediment concentrations from a variety of hydrodynamic and physical settings typically encountered across the basins. Water samples were collected by bottle just beneath the surface and stored on ice until filtering. The TSS concentration was calculated as the difference of the filter weight (before and after filtration) divided by the volume of sample filtered. Both TSS and in situ spectral reflectance measurements were collected at some sampling sites. Pre-Delta-X sampling focused on surface waters, where the TSS data are used as inputs for hydrodynamic models for sediment transport and to calibrate the model to convert AVIRIS-NG spectral reflectance measurements into TSS.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2226539655-ORNL_CLOUD.html",
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"description": "This dataset provides spatial data on water channels in the estuary of the Atchafalaya Basin of the Mississippi River Delta of coastal Louisiana. These Level-3 (L3) channel maps were developed from interferograms derived from Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) data collected on 2016-10-16 and 2016-10-17 during low and high tides. The channel maps define open water paths in hydrodynamic models and are used to evaluate model performance.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025125085-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025125085-ORNL_CLOUD.html",
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"description": "This Level 1 (L1) dataset includes single look complex (SLC) stack products and co-registered interferograms in the HH (horizontal transmit and horizontal receive) polarization for the Atchafalaya Basin, in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. The data were collected in October 2016 by Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), a polarimetric L-band synthetic aperture radar flown on the NASA Gulfstream-III aircraft as part of the Pre-Delta-X campaign. A single study region, flight line \"gulfco_12011\", was sampled six times at approximately 30-minute intervals to monitor changing water levels. The SLC stack product is a standard UAVSAR product delivered by the UAVSAR processing team. The L1 interferograms were generated from the SLC stacks.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025126876-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025126876-ORNL_CLOUD.html",
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"description": "This dataset contains five maps of cumulative changes in water levels at 30-minute intervals over a 150-minute period on 2016-10-16 in the Atchafalaya Basin in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. Water surface elevations were measured on six flights at 30-minute intervals, with the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), a polarimetric L-band synthetic aperture radar (SAR) flown on the NASA Gulfstream-III aircraft. The five georeferenced maps at 6 m resolution show the cumulative change of water levels (cm) every 30 minutes relative to the first sampling flight. These Level 3 maps were generated using the InSAR time series Small Baseline Subsets (SBAS) algorithm implemented in the Generic InSAR Analysis Toolbox (GIAnT) toolbox and served to evaluate and compare hydrodynamic models.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025123672-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025123672-ORNL_CLOUD.html",
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"description": "This dataset provides vegetation species, height, stem density and diameter, and species aboveground biomass (AGB) measurements collected at herbaceous and forested wetland sites across the Atchafalaya and Terrebonne basins within the Mississippi River Delta (MRD) floodplain in coastal Louisiana, USA. The measurements were made during the Pre-Delta-X campaign in Spring 2015 and Fall 2015. Vegetation height and density and diameter data are only provided for forested Atchafalaya sites during the spring collections. At the nine herbaceous wetland sites, a transect was established perpendicular to the wetland edge with replicate sample plots (0.25 m2, 5 m apart) located at 50, 100, and 150 m from the wetland edge to capture the range of vegetation structure, zonation, and composition. AGB was harvested inside the duplicate plots at each sampling location. At the six forested wetland sites, duplicate circular plots (10 m radius, 50 m apart) were established inside the forest approximately 30 m from the wetland edge. All trees with a diameter at breast height (DBH at 1.3 m) > 2.5 cm were measured within each plot and identified to species. The height of trees was measured with a laser range finder. AGB was estimated using species-specific allometric equations. Measurements were used to generate marsh and forested wetland coverage and biomass in response to seasonality within both basins. The data will be used to calibrate remote sensing data (e.g., UAVSAR, AVIRIS-NG) and hydrodynamics and sediment transport models.",
"license": "proprietary"
},
@@ -153655,7 +155579,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025123345-ORNL_CLOUD.html",
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"description": "This dataset provides absolute water level elevations derived for 10 locations across the Wax Lake Delta, Atchafalaya Basin, in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. Field measurements were made during the Pre-Delta-X campaign on October 13-20, 2016. Relative water level measurements were recorded every five minutes during a one-week period using in situ pressure transducers (Solinst) to measure water surface elevation change with millimeter accuracy. The Solinst system combines a total pressure transducer (TPT) and a temperature detector. Once underwater, the TPT measures the sum of the atmosphere and water pressure above the sensor. Atmospheric pressure fluctuations must be accounted for to obtain the height of the water column above the TPT. An absolute elevation correction was applied to the water level data using an iterative approach with the USGS Calumet Station water level height and Airborne Snow Observatory (ASO) lidar water level profiles. These Pre-Delta-X water level measurements served to calibrate and validate the campaign's remote sensing observations and hydrodynamic models.",
"license": "proprietary"
},
@@ -153668,7 +155592,7 @@
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"description": "The data set presents the principal data from the Anglo-BRazilian Amazonian Climate Observation Study (ABRACOS) (Gash et al, 1996) and provides quality controlled information from five of the study topics considered by the project in five zipped files containing ASCII text data. The five study topics include Micrometeorology, Climate, Carbon Dioxide and Water Vapor, Plant Physiology, and Soil Moisture. The objectives of the ABRACOS were to monitor Amazonian climate and improve the understanding of the consequences of deforestation and to provide data for the calibration and validation of GCMs and GCM sub-models of Amazonian forest and post-deforestation pasture (Shuttleworth et al, 1991). Three areas were instrumented, each with different soils, dry season intensities and deforestation densities (Gash et al, 1996). In each area, an automatic weather station and soil moisture measurement equipment were installed: in a primary forest site and in nearby cattle pasture, for monitoring climate and soil status throughout the year. Additional intensive periods of study (or Missions), of varying duration, were operated at these sites: for calibration purposes, to understand the physical processes relevant to each site, and for detailed comparisons between sites. These data were collected under the ABRACOS project and made available by the UK Institute of Hydrology and the Instituto Nacional de Pesquisas Espaciais (Brazil). ABRACOS is a collaboration between the Agencia Brasileira de Cooperacao and the UK Overseas Development Administration. The processed, quality controlled and integrated data in the documented Pre-LBA data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.",
"license": "proprietary"
},
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"description": "Measurements made off James Ross Island near Antarctica in 2005.",
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"description": "This data set provides a collection of maps of geoecological characteristics of areas within the Beechey Point quadrangle near Prudhoe Bay on the North slope of Alaska: a geobotanical atlas of the Prudhoe Bay region, a land cover map of the Beechey Point quadrangle, and cumulative impact maps in the Prudhoe Bay Oilfield for ten dates from 1968 to 2010. The geobotanical atlas is based on aerial photographs and covers 145 square kilometers of the Prudhoe Bay Oilfield. The land cover map of the Beechey Point quadrangle was derived from the Landsat multispectral scanner, aerial photography, and other field and cartographic methods. The cumulative impact maps of the Prudhoe Bay Oilfield show historical infrastructure and natural changes digitized from aerial photos taken in each successive analysis year (1968, 1970, 1972, 1973, 1977, 1979, 1983, 1990, 2001, and 2010). Nine geoecological attributes are included: dominant vegetation, secondary vegetation, tertiary vegetation, percentage open water, landform, dominant surface form, secondary surface form, dominant soil, and secondary soil. These data document environmental changes in an Arctic region that is affected by both climate change and rapid industrial development.",
"license": "proprietary"
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"description": "A three-year observational study into the influence of spring freshets entering Stefansson Sound (coastal Alaskan lagoon system) using a combination of autonomous and direct sampling approaches applying hydrographic, optical, acoustic, and biogeochemical measurements.",
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"description": "The RADAMBRASIL project extensively mapped the Amazon soils using a combination of soil pit information, aerial photography, and geologic maps. During the project, 1,153 soil pits, distributed basin-wide, were described and sampled by horizon and analyzed for texture and chemical composition.This data set, which consists of one file in ASCII comma separated format, contains soil profile descriptions for locations throughout Brazilian Amazonia. These data are based on RADAMBRASIL surveys from the Soil Profiles of Amazonia (Source: IPAM, Brazil/WHRC, USA). See the companion file Soil Profiles of Amazonia.pdf",
"license": "proprietary"
},
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"description": "The atmospheric boundary layer (ABL) is the layer of air closest to the ground which is directly influenced on a daily basis by the heating and cooling of the earth's surface. The exact depth of the ABL varies according synoptic weather conditions and the time of day. During the daytime it is usually between 1 and 3 km; during the night it is much shallower. The ABL is important because it links the fluxes of heat and water vapor observed at the surface to the general circulation of the atmosphere. To model climate correctly, it is necessary for the ABL to be well understood and represented in the model. Because the air in the ABL is turbulent, small scale variations (about 1 km or less) in evaporation and heat flux at the surface are smoothed, with the temperature, humidity and depth of the ABL being uniform over the entire area. Larger scale variations (on the scale of 10 km or more) may lead to differences in ABL properties between the different surface types. Such differences may cause local atmospheric circulations to develop which may be important for the local climate of an area. During ABRACOS, three ABL measurement campaigns were carried out. These campaigns were called the Rondonia Boundary Layer Experiment (RBLE) 1, 2 and 3 and were held at Ji-Parana where the scale of the forested and deforested areas is large enough for each surface type to develop its own ABL. Refer to the related data set, Pre-LBA Anglo-Brazilian Amazonian Climate Observation Study (ABRACOS) Data, for additional information.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually. The campaigns were held during the dry season when the difference in evaporation between the two surfaces types, forest and pasture, is at its greatest. Measurements were made with both free-flying radiosondes which measure temperature, humidity, and wind up to about 12 km and with a tethered balloon which makes more detailed measurements in the lowest 1 km of the atmosphere. Measurements were made at both the forest and clearing sites. Profiles of potential temperature measured during RBLE2 show that the daytime ABL was deeper over the clearing than the forest. The data have been used to test several models of ABL development. It appears that the ABL over pastures or over clearings grows more rapidly than predicted by the models, possibly because of the increased turbulence generated by the strips of forest typical of this area. The data have also been used to initialize one-dimensional climate models used in experiments to investigate the sensitivity of climate to land surface parameters, and to initialize a mesoscale model which can predict local effects on climate caused by the pattern of deforestation in this area.",
"license": "proprietary"
},
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"description": "Measurements from the Central Florida Gulf Coast in 1998 and 2005.",
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"description": "Measurements taken off Cornwallis Island off Resolute in the mid to late 90s.",
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"description": "This data set includes estimates of permafrost Active Layer Thickness (ALT; cm), and calculated uncertainties, derived using a ground-penetrating radar (GPR) system in the field in August 2014 near Toolik Lake and Happy Valley on the North Slope of Alaska. GPR measurements were taken along 10 transects of varying length (approx. 1 to 7 km). Traditional ALT estimates from mechanical probing every 100 to 500 m along each transect are also included. These data are suitable for future studies of how ALT varies over relatively large geological features, such as hills and valleys, wetland areas, and drained lake basins.",
"license": "proprietary"
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"description": "Active layer thickness (ALT) is a critical parameter for monitoring the status of permafrost that is typically measured at specific locations using probing, in situ temperature sensors, or other ground-based observations. The thickness of the active layer is the average annual thaw depth, in permafrost areas, due to solar heating of the surface. This data set includes the mean Remotely Sensed Active Layer Thickness (ReSALT) over years 2006 to 2011 for the region near Barrow, Alaska. The data were produced by an Interferometric Synthetic Aperture Radar (InSAR) technique that measures seasonal surface subsidence and infers ALT. ReSALT estimates were validated by comparison with ground-based ALT obtained using probing and Ground Penetrating Radar at multiple sites. These results indicate remote sensing techniques based on InSAR could be an effective way to measure and monitor ALT over large areas on the Arctic coastal plain.These data provide gridded (30-m) estimates of active layer thickness (cm; ALT) and seasonal subsidence (cm), as well as calculated uncertainty in each of these parameters. This data set was developed in support of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) field campaign.The data are presented in one netCDF (*.nc) file. ",
"license": "proprietary"
},
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"description": "Measurements taken for the purpose of validating remote-sensing-derived particulate organic carbon.",
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"description": "This data set is a compilation of soil respiration rates (g C m-2 yr-1) from terrestrial and wetland ecosystems reported in the literature prior to 1992. These rates were measured in a variety of ecosystems to examine rates of microbial activity, nutrient turnover, carbon cycling, root dynamics, and a variety of other soil processes. Also included in the data set are biome type, vegetation type, locality, and geographic coordinates.",
"license": "proprietary"
},
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"description": "This data set provides Boreal forest disturbance maps at 30-m resolution for 55 selected sites across Northern Eurasia within the Russian Federation. Disturbance events were derived from selected high-quality multi-year time series of Landsat Thematic Mapper and Enhanced Thematic Mapper Plus images (stacks) over the 1984 to 2000 time period. Forest pixels were classified by year of latest disturbance or as undisturbed.",
"license": "proprietary"
},
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"description": "This data set contains meteorological data, reanalysis data, remote sensing images, and data on atmospheric composition collected during the Smoke, Clouds, and Radiation - Brazil (SCAR-B) experiment. The SCAR-B examined the effects of biomass burning on atmospheric processes with four primary goals: (1) improving techniques for remote sensing of these process from space, (2) obtain measurements of the rates of emissions of trace gases and particles from biomass burning, (3) observe the influence of atmospheric processes on the emission products was to obtain measurements of the rates of emissions of trace gases and particles from biomass burning, and to observe the influence of atmospheric processes on these emission products, and (4) characterize the physical and radiative properties of smoke particles from biomass burning. SCAR-B was conducted during biomass burning in the cerrado ( dry savannah) and Amazonia rainforest to understand the influence of land cover type on smoke, clouds, and radiation.Selected archived data and images from SCAR-B are described in the Data Description section table. Extensive background information on SCAR-B is provided following the Data Description.The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually. ",
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"description": "The South Florida Marine Biodiversity Observation Network (SFMBON) build on the foundations laid by the present Sanctuaries MBON demonstration. A close partnership with NOAA AOML and the FKNMS has focused on periodic MBON surveys of the Florida Keys since 2014. The South Florida MBON seeks to integrate ground and satellite observations related to biodiversity to inform ecosystem-based management in and around the Florida Keys National Marine Sanctuary (FKNMS).",
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"description": "Measurements sponsored by the NSF Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003.",
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"description": "This dataset provides per-pixel vegetation canopy water content (CWC) derived from surface reflectance measured by the Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument from 2022-02-24 to 2022-05-17. This imagery was acquired as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign. AVIRIS-NG measures reflected radiance in 425 bands at 5-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 380 and 2510 nm. Measurements were radiometrically and geometrically calibrated as well as atmospherically corrected, and are provided at approximately 5-meter spatial resolution. These data include mosaics of several flight lines that were flown on a weekly basis covering a 640-square-mile (1,656-square-kilometer) study area, which stretches from Los Padres National Forest in the east to the Central California coast and into the coastal ocean in the west, including Dangermond Preserve and UCSB's Sedgwick Reserve. These data will help track changes in vegetation characteristics from late winter through early summer by providing insights into health and resilience of ecosystems as California's climate grows drier. In particular, temporal and spatial patterns of CWC will indicate drought stress and increased wildfire risk. The CWC files in this publication were processed by applying a simple fitting of spectral absorption features of liquid water and are distributed in cloud-optimized GeoTIFF (COG) format.",
"license": "proprietary"
},
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"license": "proprietary"
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"description": "This dataset contains Level 1A (L1A) unrectified surface radiance image files as well as files of observational geometry and illumination parameters and supporting sensor band information from NASA's Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument. This imagery was collected as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect VSWIR data at approximately a weekly cadence across a broad study area, enabling traceability analyses related to the science value of VSWIR revisits. This campaign will generate precise, high-frequency data on plant communities collected over nearly 1,656 square kilometers across Santa Barbara County, California, US, and nearby coastal Pacific waters. AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures reflected radiance at 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The AVIRIS-NG sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub-meter range. In this dataset, for each flight line, four file types are included: unrectified measured surface radiance image (rdn) files, geometric lookup table (glt), gridded files of input geometry (igm), and parameters relating to the geometry of observation and illumination rendered using the geometric lookup table (obs). The AVIRIS-NG L1B data are provided in ENVI binary format, which includes a flat binary file (bin) accompanied by a header (hdr) file holding metadata in text format.",
"license": "proprietary"
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"description": "This dataset provides full-spectrum (350-2500 nm) reflectance measurements of dried ground leaf samples from meadow, shrub, and tree sites. Samples were collected during the period of February 23, 2022 to September 27th, 2022 for the 2022 NASA Surface Biology Geology (SBG) High Frequency Time series (SHIFT) campaign in Santa Barbara County, California, USA. The primary goal of the SHIFT campaign was to collect a repeated dense time series of airborne Visible to ShortWave Infrared (VSWIR) airborne imaging spectroscopy data with coincident field measurements in both inland terrestrial and coastal aquatic areas. Reflectance measurements were collected using a ASD FieldSpec 3 spectrometer following Serbin et al. (2014) and Wang et al. (2020). After sample collection, each leaf sample was divided into two portions: one portion with ~10 g fresh weight was oven dried and another portion with ~5 g fresh weight was flash frozen. Both samples were ground and homogenized (20-mesh, 833 micrometers). The oven dried samples were then re-dried in oven at 70 degrees C for 24 h and the flash frozen samples were dried using a Virtis Model 24DX48 specimen freeze dryer before the reflectance measurement. Data are in a comma-separated values (.csv) format.",
"license": "proprietary"
},
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"description": "This dataset contains vegetation plot locations, descriptions, fractional cover, and sample identifier information from surveys conducted as part of the 2022 NASA Surface Biology Geology (SBG) High Frequency Time series (SHIFT) campaign. Surveys took place from 2022-02-23 to 2022-09-27 at the Jack and Laura Dangermond Preserve, Sedgwick Reserve, and Carpinteria Salt Marsh Reserve, which are located in Santa Barbara County, California, USA. This project collected field data contemporaneously with weekly flights of the NASA Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) facility instrument over the study areas. Plot information includes: plot tree subform, species lists, plot description, plot samples characterization, and plot location and contextual information. Related data packages contain additional biogeochemical, reflectance, and foliar data. Survey data and metadata are presented in comma-separated values (*.csv) format along with survey plot polygons in GeoJSON (*.geojson) format.",
"license": "proprietary"
},
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"description": "This dataset holds laboratory foliar chemical analyses results for field samples collected during the 2022 NASA Surface Biology Geology (SBG) High Frequency Time series (SHIFT) campaign in Santa Barbara County, California, USA. Leaf samples were collected from plots within the Dangermond Preserve, Sedgwick Reserve, and Carpinteria Salt Marsh Reserve during the period of 2022-02-23 to 2022-09-27 and dried for later analysis. This project collected field data contemporaneously with weekly flights of the NASA's Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) facility instrument over the study areas. Sixteen chemical traits from two different lab analyses are provided. (a) Elemental analysis: foliar nitrogen (%), phosphorus (%), magnesium (%), potassium (%), calcium (%), sulfur (%), boron (ppm), iron (ppm), manganese (ppm), copper (ppm), zinc (ppm), aluminum (ppm), and sodium (ppm). (b) AnkomFiber analysis: foliar hemicellulose and bound protein (%), cellulose (%), and lignin (%). Related data packages contain additional plot-level characterization, biogeochemical, reflectance, and foliar data. These data are provided in comma separated values (CSV) format.",
"license": "proprietary"
},
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"description": "This dataset holds Level 1 (L1) brightness temperature data collected by the Hyperspectral Thermal Emission Spectrometer (HyTES) instrument. This imagery was acquired as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign on March 23, 2022. The SHIFT campaign generated precise, high-frequency data on plant communities for nearly 1,656 square kilometers across Santa Barbara County, California, US, and the nearby ocean. HyTES is a compact image spectrometer that acquires data in 256 spectral bands between 7.5 and 12 micrometers; it was deployed on a Twin Otter aircraft. The SHIFT campaign sought to demonstrate the joint use of both VSWIR and thermal infrared (TIR) data. TIR data are used to measure land surface temperature (LST), which informs models of water flux from land surface through processes such as evapotranspiration. LST is sensitive to solar heat gains and local cooling effects due to evaporative cooling. The HyTES instrument measures TIR radiances that can be used to derive LST, emissivity and Level 3 products such as latent heat flux and detection of air pollution sources. The HyTES data are provided in HDF5 format and include 91 flight scenes. The data are not projected, but georeferencing information for each pixel are provided in the HDF5 and a separate ENVI file for each flight scene. In addition, the flight scene boundaries and an overlay image are provided in Keyhole Markup Language (KML) along with a quicklook image and spectral response data.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2814122609-ORNL_CLOUD.html",
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"description": "This dataset holds Level 2 (L2) data for surface emissivity and land surface temperature (LST) collected by the Hyperspectral Thermal Emission Spectrometer (HyTES) instrument. This imagery was acquired as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign on March 23, 2022. The SHIFT campaign generated precise, high-frequency data on plant communities for nearly 1,656 square kilometers across Santa Barbara County, California, US, and the nearby ocean. HyTES is a compact image spectrometer that acquires data in 256 spectral bands between 7.5 and 12 micrometers; it was deployed on a Twin Otter aircraft. The SHIFT campaign sought to demonstrate the joint use of both VSWIR and thermal infrared (TIR) data. TIR data are used to measure land surface temperature (LST), which informs models of water flux from land surface through processes such as evapotranspiration. LST is sensitive to solar heat gains and local cooling effects due to evaporative cooling. The HyTES instrument measures TIR radiances that can be used to derive LST, emissivity and Level 3 products such as latent heat flux and detection of air pollution sources. The HyTES data are provided in HDF5 format and include 91 flight scenes. In addition, overlay images for emissivity and LST are provided in compressed Keyhole Markup Language (KMZ) along with a quicklook image.",
"license": "proprietary"
},
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"description": "This dataset provides leaf images and measurements of leaf traits (area, wet weight, dry weight, leaf mass per area, leaf water content) and leaf pigments (chlorophyll) and species information as sampled from meadow, shrub, and tree from Santa Barbara California, USA. Samples were collected from plots within the Dangermond Preserve, Sedgwick Reserve, and Carpinteria Salt March Reserve during the period of February 23, 2022 to September 27, 2022 for the 2022 NASA Surface Biology Geology (SBG) High Frequency Time series (SHIFT) campaign. The associated data package contains image scans used for the leaf area calculations as well as python processing code used to calculate the area. A comma-separated value (CSV) formatted file includes plot-level leaf area (cm2), wet weight (g), leaf mass area (LMA, g leaf dry mass per meter square), leaf water content (LWC, (wet weight - dry weight/wet weight, %)), chlorophyll fluorescence ratio (CFR), and chlorophyll content (CHL).",
"license": "proprietary"
},
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"description": "This dataset contains photographs of the plots where field vegetation sampling was conducted during the 2022 NASA Surface Biology Geology (SBG) High Frequency Time series (SHIFT) campaign. Sampling occurred at the Jack and Laura Dangermond Preserve, Sedgwick Reserve, and Carpinteria Salt Marsh Reserve, which are located in Santa Barbara County, California, USA. Photographs were taken from 2022-02-23 to 2022-09-18. This project collected field data contemporaneously with weekly flights of Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) over the study areas. Related SHIFT data packages contain additional biogeochemical, reflectance, and foliar data.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761615930-ORNL_CLOUD.html",
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"description": "This dataset provides calculated remote sensing reflectance (Rrs) from measurements collected with a Ramses TriOS radiometer deployed on the Santa Barbara Museum of Natural History Sea Center at Stearns Wharf, Santa Barbara, California, U.S. All measurements were taken over a fixed position at (34.41037665, -119.68557147). Three sensors are used to collect solar downwelling irradiance (Ed), sky radiance (Ls) and water-leaving radiance (Lw). These data have been processed to Rrs at 10 second intervals and are either concurrent or taken within 2.5 hours of SHIFT campaign flights. The data collected by the three Ramses TriOS sensors for eight days during the period 2022-04-05 to 2022-05-29 are also included. The data were translated from the proprietary format output by the Ramses TriOS instrument and saved in comma-separated values (CSV) format.",
"license": "proprietary"
},
@@ -158413,7 +160337,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2345900038-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345900038-ORNL_CLOUD.html",
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"description": "This dataset provides estimated solar-induced chlorophyll fluorescence (SIF) of specific vegetation types and total SIF under clear-sky and real/cloudy conditions at a resolution of 4 km for the Midwest USA. The estimates are 8-day averaged daily means over the 2018 crop growing season for the time period 2018-05-01 to 2018-09-29. SIF of a specific vegetation type (i.e., corn, soybean, grass/pasture, forest) was expressed as the product of photosynthetically active radiation (PAR), the fraction of photosynthetically active radiation absorbed by the canopy (fPAR), and canopy SIF yield (SIFyield) for each vegetation type. Uncertainty of each variable was also calculated and is provided. These components of the SIF model were derived using a TROPOspheric Monitoring Instrument (TROPOMI) dataset, the USDA National Agricultural Statistics Service Cropland Data Layer, and the MODIS MCD15A2H 8-day 500 m fPAR product. These data could be used to improve estimates of vegetation productivity and vegetation stress.",
"license": "proprietary"
},
@@ -158426,7 +160350,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2847119443-ORNL_CLOUD.html",
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"description": "This dataset provides global solar-induced chlorophyll fluorescence (SIF) estimates at a 0.05-degree resolution (approximately 5 km at the equator) for each month from January 2003 through December 2017. SIF data (740 nm) was retrieved from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) and Global Ozone Monitoring Experiment 2 (GOME-2) instruments onboard the MetOp-A satellite. The data were downscaled to 0.05 degrees using the Random Forest algorithm and predictors from Moderate Resolution Imaging Spectroradiometer (MODIS) and Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis, and then harmonized with the cumulative distribution function (CDF) matching technique. The uncertainty of the harmonized SIF estimates was also quantified and provided. Validation of the harmonized product showed that it retained high spatial and temporal consistency with the original SCIAMACHY and GOME-2 SIF retrievals and had good correlations with independent airborne and ground-based SIF measurements. The dataset can inform on the synergy between satellite SIF and photosynthesis and research on drought, yield estimation, and land degradation evaluation. The data are provided in netCDF format.",
"license": "proprietary"
},
@@ -158439,7 +160363,7 @@
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"license": "proprietary"
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"description": "The Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) activity originated in support of the NASA Earth System Observatory's Surface Biology and Geology (SBG) mission to develop prototype workflows with community algorithms and generate prototype data products envisioned for SBG. SISTER focused on developing a data system that is open, portable, scalable, standards-compliant, and reproducible. This collection contains EXPERIMENTAL workflows and sample data products, including (a) the Common Workflow Language (CWL) process file and a Jupyter Notebook that run the entire SISTER workflow capable of generating experimental sample data products spanning terrestrial ecosystems, inland and coastal aquatic ecosystems, and snow, (b) the archived algorithm steps (as OGC Application Packages) used to generate products at each step of the workflow, (c) a small number of experimental sample data products produced by the workflow which are based on the Airborne Visible/Infrared Imaging Spectrometer-Classic (AVIRIS or AVIRIS-CL) instrument, and (d) instructions for reproducing the sample products included in this dataset. DISCLAIMER: This collection contains experimental workflows, experimental community algorithms, and experimental sample data products to demonstrate the capabilities of an end-to-end processing system. The experimental sample data products provided have not been fully validated and are not intended for scientific use. The community algorithms provided are placeholders which can be replaced by any user's algorithms for their own science and application interests. These algorithms should not in any capacity be considered the algorithms that will be implemented in the upcoming Surface Biology and Geology mission.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2266194621-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"description": "This ancillary SMAP product contains three dynamic GMAO GEOS-5 modeled data sets. Each data set contains surface and atmospheric parameters pertinent to SMAP provided in 1) hourly, 2) 3-hour, and 3) averaged over 3-hour intervals.",
"license": "proprietary"
},
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"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539129338-NSIDC_ECS.html",
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"description": "This ancillary SMAP product contains two dynamic data sets describing 1) the attitude and 2) the trajectory of the SMAP satellite. The data files are generated using quaternions from the SMAP spacecraft and inputs from earth receiving stations, respectively.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539051655-NSIDC_ECS.html",
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"description": "This ancillary SMAP product contains more than 50 data sets. These data sets contain the inputs necessary to create SMAP products from raw instrument counts, such as permanent masks (land, water, forest, urban, mountain, etc.), the grid cell average elevation and slope derived from a Digital Elevation Model (DEM), permanent open water fraction, soils information (primarily sand and clay fraction), vegetation parameters, and surface roughness parameters.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539055411-NSIDC_ECS.html",
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"description": "This ancillary SMAP product contains biophysical characteristics (biome parameters) used to estimate carbon fluxes and soil organic carbon in the SMAP L4 Carbon algorithm. Biophysical characteristics were established from previous studies and the parameters defined for the MODIS MOD17 operation GPP algorithm. This data set was refined through regional and global comparisons and calibration of prototype SMAP L4 Carbon calculations.",
"license": "proprietary"
},
@@ -159206,7 +161130,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539055410-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539055410-NSIDC_ECS.html",
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+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY29sb3JhZG8gc3RhdGUgdW5pdmVyc2l0eSBncm91bmQgcGVuZXRyYXRpbmcgcmFkYXIgcmF3IHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIzX0NTVV9HUFJfUmF3XCIsXCIxXCIsMzE4NDc4NzQxNiwxMF0iLCJ1bW0iOiJbXCJzbm93ZXgyMyBjb2xvcmFkbyBzdGF0ZSB1bml2ZXJzaXR5IGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1NVX0dQUl9SYXdcIixcIjFcIiwzMTg0Nzg3NDE2LDEwXSJ9/SMAP_L4_C_ANC_FPAR_CLIM_1",
"description": "This ancillary SMAP product contains a static climatology data set. The climatology data is derived from MODIS Fractional Photosynthetically Active Radiation (FPAR) models and represents a global 8-day average.",
"license": "proprietary"
},
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"license": "proprietary"
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"license": "proprietary"
},
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"license": "proprietary"
},
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"license": "proprietary"
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"license": "proprietary"
},
@@ -161316,6 +163240,19 @@
"description": "This data set contains video footage of two locations in Colorado, USA: Grand Mesa, a snow-covered forested study site about 40 miles east of Grand Junction, and Senator Beck Basin, approximately 80 miles to the SSE of Grand Mesa. Video footage was captured using a video camera mounted to the belly of a P-3 aircraft during the 2017 SnowEx science flights. The video footage is raw.",
"license": "proprietary"
},
+ {
+ "id": "SNEX17_QWIP_ST_1",
+ "title": "SnowEx17 UM Quantum Well Infrared Photodetector (QWIP) Surface Temperature V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2017-02-16",
+ "end_date": "2017-02-25",
+ "bbox": "-109.050072, 36.993108, -102.042125, 41.000656",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1556467147-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1556467147-NSIDC_ECS.html",
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+ "description": "This data set contains infrared camera images collected during the 2017 SnowEx campaign in Grand Mesa and Senator Beck Basin, Colorado. Images were taken using a Quantum Well Infrared Photodetector (QWIP) camera system manufactured by QmagiQ and mounted to the P-3 aircraft, which was flown over the study areas. The QWIP camera records images at a rate of 60 Hz and has a field of view of 11x9 degrees. The QWIP camera can distinguish temperature variations of approximately 0.02\u00b0C. This data set contains raw QWIP data, presented as \"counts.\" Data are contained in TIFF image files with dimensions of 320x256 counts.",
+ "license": "proprietary"
+ },
{
"id": "SNEX17_SBR_1",
"title": "SnowEx17 Radiometrics Surface-Based Radiometer Brightness Temperatures V001",
@@ -161325,7 +163262,7 @@
"bbox": "-108.2313453, 39.02098, -107.846975, 39.10552",
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1597736755-NSIDC_ECS.html",
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"description": "This data set consists of surface-based radiometer (SBR) brightness temperatures of the snow surface and vegetation at Grand Mesa, CO, USA, acquired during NASA's 2017 SnowEx campaign. Four SBRs were deployed in the field and obtained measurements at 89, 37, 19, and 10.67 GHz in both vertical (V-pol) and horizontal (H-pol) polarizations. Data are available for 37 locations across Grand Mesa collected over five days in February, 2017. They include both 2-4 minute observations and 20 minute, continuous measurements during surface melt, with the latter designed to capture the brightness temperature increase caused by the presence of liquid water in the snow. This data set also contains snowfork measurements of snow wetness for 13 sites.",
"license": "proprietary"
},
@@ -161342,19 +163279,6 @@
"description": "This data set, part of the SnowEx 2017 campaign, contains in situ snow depth measurements at two locations in Colorado, USA: Grand Mesa, a snow-covered, forested study site about 40 miles east of Grand Junction; and Senator Beck Basin approximately 80 miles to the SSE of Grand Mesa. Measurements were obtained approximately 3 meters apart along multiple transects, using either a standard, handheld 3 meter long probe or a 1.2 meter long MagnaProbe.",
"license": "proprietary"
},
- {
- "id": "SNEX17_SD_Perm_1",
- "title": "SnowEx17 GPR and Lidar-Derived Snowpack Relative Permittivities and Densities V001",
- "catalog": "NSIDC_ECS STAC Catalog",
- "state_date": "2017-02-08",
- "end_date": "2017-02-25",
- "bbox": "-108.2195, 39.0005, -107.86, 39.106",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3234861962-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3234861962-NSIDC_ECS.html",
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- "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys (GPR) conducted in Colorado, USA as part of the NASA SnowEx 2017 field campaign. Data was collected between 08 Feb 2017 to 25 Feb 2017 from Grand Mesa, a snow-covered, forested area about 40 miles east of Grand Junction. Data include two-way travel (TWT) time, lidar-measured snow depth, calculated snow water equivalent (SWE), calculated snow density, and calculated relative permittivity.",
- "license": "proprietary"
- },
{
"id": "SNEX17_SMP2_1",
"title": "SnowEx17 Senator Beck SnowMicroPen (SMP) Raw Penetration Force Profiles V001",
@@ -161364,7 +163288,7 @@
"bbox": "-107.752128, 37.856078, -107.6725, 37.940572",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1720458466-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1720458466-NSIDC_ECS.html",
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"description": "This data set consists of raw penetration force profiles measured at 8 different snow pits located in Senator Beck, Colorado using the SnowMicroPen (SMP), a digital snow penetrometer. The data files contain force measurements (in Newtons) at various snow depths.",
"license": "proprietary"
},
@@ -161377,7 +163301,7 @@
"bbox": "-108.2291924, 37.856078, -107.6725, 39.02768",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1423026967-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1423026967-NSIDC_ECS.html",
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+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX17_SMP_1",
"description": "This data set contains raw penetration force profiles measured at snow pits and along linear transects at Grand Mesa, Colorado using the SnowMicroPen (SMP), a digital snow penetrometer. The data files contain force measurements (in Newtons) at various snow depths.",
"license": "proprietary"
},
@@ -161394,6 +163318,19 @@
"description": "This data set reports vertical profiles of snow reflectance, specific surface area (SSA), and optical equivalent diameter (grain size) at Grand Mesa, Colorado, USA, a snow-covered, forested study site about 40 miles east of the city of Grand Junction, CO. Reflectance was measured in situ using a 1310\u00a0nm integrating sphere laser device and converted to SSA and optical equivalent diameter.",
"license": "proprietary"
},
+ {
+ "id": "SNEX17_SSD_1",
+ "title": "SnowEx17 Time Series Sonic Snow Depth Measurement Array V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2016-10-12",
+ "end_date": "2017-07-03",
+ "bbox": "-108.0545976, 39.0275519, -107.9335668, 39.0343045",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1527470986-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1527470986-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX17_SSD_1",
+ "description": "This data set contains 15-min snow depth observations for two study sites on Grand Mesa, CO, USA, acquired as part of NASA's 2017 SnowEx campaign. The data were recorded using two arrays of Judd Communications Ultrasonic Depth Sensors, configured as a TLS K footprint on the west side of the mesa and a TLS N footprint in the east. The sensors were positioned to represent three primary vegetation conditions: open-canopy; canopy-edge; and closed-canopy. A total of 10 and 7 sensors recorded usable data at the west and east sites, respectively, from the beginning of the snow season in November 2016 through the end in June 2017. These data can be used for a variety of purposes, including: model forcing, calibration, and validation; evaluation of airborne and satellite remote sensing data; to analyze how vegetation affects snow accumulation and ablation.",
+ "license": "proprietary"
+ },
{
"id": "SNEX17_SnowPits_1",
"title": "SnowEx17 Community Snow Pit Measurements V001",
@@ -161407,6 +163344,45 @@
"description": "This data set contains measurements of snow temperature, density, stratigraphy, grain size, wetness, depth, and snow water equivalent (SWE) for snow pits at two study sites in Colorado, USA: Grand Mesa and Senator Beck Basin. Data were collected during the NASA SnowEx 2017 campaign.",
"license": "proprietary"
},
+ {
+ "id": "SNEX17_SnowSAR_1",
+ "title": "SnowEx17 SnowSAR Multi-look Synthetic Aperture Radar Backscatter Amplitude Images V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2017-02-16",
+ "end_date": "2017-02-22",
+ "bbox": "-109.05, 37, -102.05, 41",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1708383658-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1708383658-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX17_SnowSAR_1",
+ "description": "This data set, part of the SnowEx 2017 campaign, contains multi-look synthetic aperture radar (SAR) amplitude images. The images are stored in netCDF files; browse images are also available. Data were collected using the SnowSAR instrument at the X (9.6 GHz) and Ku (17.25 GHz) bands. The SnowSAR instrument flew on the NP-3C Orion aircraft and captured data from across Colorado, including near the SnowEx 2017 Grand Mesa, Colorado study site and Vail, Colorado. Data were acquired between 16 February 2017 and 22 February 2017 and have a resolution of 1 meter by 1 meter.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX17_SnowSAR_Raw_1",
+ "title": "SnowEx17 SnowSAR Raw FMCW Waveforms V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2017-02-16",
+ "end_date": "2017-02-22",
+ "bbox": "-109.05, 37, -102.05, 41",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1722859882-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1722859882-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX17_SnowSAR_Raw_1",
+ "description": "This data set, part of the SnowEx 2017 campaign, contains raw data captured from the SnowSAR instrument. The processed SnowSAR data are also archived at NSIDC (DOI: 10.5067/TWRTXCYBCBB8). The SnowSAR instrument flew on the NP-3C Orion aircraft and collected data at the X (9.6 GHz) and Ku (17.25 GHz) bands. Data were captured across Colorado, including near the SnowEx 2017 Grand Mesa, Colorado study site and Vail, Colorado. Data were acquired between 16 February 2017 and 22 February 2017.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX17_TLI_1",
+ "title": "SnowEx17 Time-Lapse Imagery V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2016-09-27",
+ "end_date": "2017-10-05",
+ "bbox": "-108.216, 37.9076, -107.7102, 39.055",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2176470394-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2176470394-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX17_TLI_1",
+ "description": "This data set contains time-lapse images. Cameras were placed around Grand Mesa, CO at 34 sites and around Senator Beck Basin, CO at one site, coincident with other SnowEx 2017 measurements, including the TLS scans, sonic snow depth arrays, weather stations, and local scale observation sites.",
+ "license": "proprietary"
+ },
{
"id": "SNEX17_TLS_PC_BSU_1",
"title": "SnowEx17 Boise State University Terrestrial Laser Scanner (TLS) Point Cloud V001",
@@ -161459,6 +163435,799 @@
"description": "This data set consists of ground-based scatterometer data acquired during the SnowEx 2017 campaign at Grand Mesa, Colorado, USA, a snow-covered, forested study site about 40 miles east of the city of Grand Junction, CO. The data comprise operational parameters used during data acquisition, Mueller matrices for each acquisition, and the nearfield-corrected normalized radar cross section (NRCS) in VV, VH, HV, and HH polarizations. Range profile data are also provided for each scan which report the raw power returned as a function of range from the antenna.",
"license": "proprietary"
},
+ {
+ "id": "SNEX20_A19_GSM_1",
+ "title": "SnowEx20 Grand Mesa Autumn 2019 Gravimetric Soil Moisture V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-11-04",
+ "end_date": "2019-11-06",
+ "bbox": "-108.216254, 39.005715, -108.153539, 39.032624",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2053928182-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2053928182-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_A19_GSM_1",
+ "description": "Gravimetric soil moisture data measured from collected soil samples in autumn 2019 as part of the NASA SnowEx 2020 campaign at Grand Mesa, CO. A total of 77 soil samples were taken at snow pit locations, soil moisture stations, and other areas where both the mobile and stationary COsmic-ray Soil Moisture Observing Systems (COSMOS) operated.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_A19_SD_1",
+ "title": "SnowEx20 Grand Mesa Autumn 2019 Snow Depth V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-11-04",
+ "end_date": "2019-11-07",
+ "bbox": "-108.212901, 39.003473, -108.129346, 39.043616",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2107120672-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2107120672-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_A19_SD_1",
+ "description": "Snow depth was measured in autumn 2019 as part of the NASA SnowEx 2020 campaign at Grand Mesa, CO. Measurements were taken in the vicinity of snow pit locations and between pit locations using a Magnaprobe or manual depth probes.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_A19_SP_1",
+ "title": "SnowEx20 Grand Mesa Autumn 2019 Snow Pits V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-11-04",
+ "end_date": "2019-11-06",
+ "bbox": "-108.201372, 39.008296, -108.150626, 39.046174",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2135287770-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2135287770-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_A19_SP_1",
+ "description": "This data set contains snow pit measurements obtained as part of the SnowEx 2020 campaign at the Grand Mesa, Colorado, USA site in Autumn 2019. 21 locations were visited for snow pit observations. Some snow pit measurements are incomplete due to shallow or discontinuous snow cover.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_A19_SWE_1",
+ "title": "SnowEx20 Grand Mesa Autumn 2019 Snow Water Equivalent V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-11-03",
+ "end_date": "2019-11-06",
+ "bbox": "-108.210066, 39.008324, -108.133243, 39.045793",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2053928728-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2053928728-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_A19_SWE_1",
+ "description": "Snow water equivalent (SWE) measurements of the autumn shallow snow were obtained using SWE samplers (also referred to as SWE tubes) during the NASA SnowEx 2020 campaign (03-06 Nov. 2019) at Grand Mesa, CO. 221 measurements were taken in the vicinity of snow pit locations.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_BR_BSU_SMP_1",
+ "title": "SnowEx20 Boise River Basin SnowMicroPen (SMP) Raw Penetration Force Profiles V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-12-18",
+ "end_date": "2020-01-24",
+ "bbox": "-116.0909, 43.75724, -115.23445, 44.30331",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2759079563-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2759079563-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_BR_BSU_SMP_1",
+ "description": "This data set contains raw penetration force profiles from the SnowEx 2020 Time Series campaign in the Boise River Basin in Idaho. Measurements were taken using the SnowMicroPen (SMP), a digital snow penetrometer, from three snow pits. The data files contain force measurements of the snowpack from the top of the snow surface to the ground. Measurements took place approximately weekly between 18 December 2019 and 24 January 2020.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_BSU_CMP_Raw_1",
+ "title": "SnowEx20 Grand Mesa IOP BSU Multi-polarization 1 GHz GPR CMP Raw V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-31",
+ "end_date": "2020-02-01",
+ "bbox": "-108.198261, 39.021584, -108.197754, 39.03467",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1997892408-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1997892408-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_BSU_CMP_Raw_1",
+ "description": "This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain the geolocated, unprocessed, common midpoint (CMP) gathers from a Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR). Multi-offset gathers were collected by placing antennas on the snow surface and expanding the antenna separation about a fixed midpoint out to a 2 m offset. CMP gathers were collected in HH and HV polarizations. Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8 were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3). These data can be used to estimate snow depth, snow density, and snow water equivalent (SWE).",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_BSU_CMP_SWE_1",
+ "title": "SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR CMP Snow Water Equivalent V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-31",
+ "end_date": "2020-02-01",
+ "bbox": "-108.19, 39.02, -108.19, 39.02",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1998359549-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1998359549-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_BSU_CMP_SWE_1",
+ "description": "This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain snow water equivalent (SWE) estimates. SWE is derived from Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR) two-way travel times. Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8 were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3). The raw version of these data (DOI: 10.5067/CL5ZRBCEF8G3) are also archived at NSIDC.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_BSU_CMP_TT_1",
+ "title": "SnowEx20 Grand Mesa IOP BSU Multi-polarization 1 GHz GPR CMP Travel-Times V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-31",
+ "end_date": "2020-02-01",
+ "bbox": "-108.19, 39.02, -108.19, 39.02",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1998360094-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1998360094-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_BSU_CMP_TT_1",
+ "description": "This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain the radar two-way travel times from a Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR). Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8 were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3). The raw version of these data (DOI: 10.5067/CL5ZRBCEF8G3) are also archived at NSIDC.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_BSU_GPR_1",
+ "title": "SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-28",
+ "end_date": "2020-02-04",
+ "bbox": "-108.206626, 39.002182, -108.159761, 39.038896",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1950140505-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1950140505-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_BSU_GPR_1",
+ "description": "This data set contains snow water equivalent (SWE) and snow depth estimates derived from Ground Penetrating Radar (GPR) measurements. GPR measurements were collected during the SnowEx 2020 Grand Mesa Intensive Observation Period (IOP) between 28 January and 04 February 2020. Snow depth was estimated from GPR two-way travel times and average radar velocity; SWE was estimated from snow depth and snow density. These data are derived from the SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR Raw, Version 1 data set (DOI: 10.5067/CJNEM8UDNXKA)",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_BSU_GPR_Raw_1",
+ "title": "SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR Raw V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-28",
+ "end_date": "2020-02-04",
+ "bbox": "-108.206626, 39.002182, -108.159761, 39.038896",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1937994967-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1937994967-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_BSU_GPR_Raw_1",
+ "description": "This data set contains the geolocated, unprocessed results of a ground penetrating radar survey conducted as part of the 2020 SnowEx campaign. Data were collected at Grand Mesa, Colorado (a snow-covered, forested study site) between 28 January 2020 and 04 February 2020.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_COCP_GPR_1",
+ "title": "SnowEx20 Cameron Pass Ground Penetrating Radar V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-12-18",
+ "end_date": "2020-03-12",
+ "bbox": "-105.891, 40.51, -105.88, 40.52",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025305209-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025305209-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_COCP_GPR_1",
+ "description": "This data set contains the results of ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx20 campaign. Data include two-way travel time, pit-measured snow density, calculated snow depth, and calculated snow water equivalent. Data were collected between 18 December 2019 and 12 March 2020",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_COCP_GPR_Raw_1",
+ "title": "SnowEx20 Cameron Pass Ground Penetrating Radar Raw V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-12-18",
+ "end_date": "2020-03-12",
+ "bbox": "-105.891, 40.51, -105.88, 40.52",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025305138-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025305138-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_COCP_GPR_Raw_1",
+ "description": "This data set contains the raw files from ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx20 campaign. Data were collected between 18 December 2019 and 12 March 2020.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_COCP_SPD_1",
+ "title": "SnowEx20-21 Cameron Pass Derived Snowpack Relative Permittivities and Densities from Ground Penetrating Radar V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-12-18",
+ "end_date": "2021-05-27",
+ "bbox": "-105.8931, 40.5154, -105.8889, 40.5202",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2888869172-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2888869172-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX20_COCP_SPD_1",
+ "description": "This data set contains the results of ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx20 campaign. Data include two-way travel time, lidar-measured snow depth, derived snow water equivalent, derived snow density, and derived relative permittivity. Ground-penetrating radar two-way travel times were sourced from two previously published data sets: SnowEx20 Cameron Pass Ground Penetrating Radar, Version 1 and SnowEx21 Cameron Pass Ground Penetrating Radar, Version 1. The new data presented here represents a recalculation of the snow water equivalent (SWE), snow density, and relative permittivity using terrestrial lidar scan (TLS) data.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_CRSM_1",
+ "title": "SnowEx20 COSMOS Rover Soil Moisture V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-11-04",
+ "end_date": "2019-11-07",
+ "bbox": "-108.23, 39, -108.09, 39.04",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1997892324-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1997892324-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_CRSM_1",
+ "description": "This data set contains the raw and processed data files from a COSMOS Rover soil moisture probe. The COSMOS Rover uses fast neutron counting to estimate soil moisture over a region up to 300m from the vehicle. Data were collected in one-minute intervals over four days (04 November to 07 November 2019) of driving around Grand Mesa, Colorado. Raw data parameters include atmospheric pressure, temperature, and relative humidity. These raw observations were converted to volumetric soil moisture in the processed data files.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_CSSM_1",
+ "title": "SnowEx20 COSMOS Stationary Soil Moisture V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-08-26",
+ "end_date": "2020-05-31",
+ "bbox": "-108.215, 39.033, -108.215, 39.033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1997891597-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1997891597-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_CSSM_1",
+ "description": "These data contain raw and processed hourly observations from a Hydroinnova COSMOS Stationary sensor probe. Parameters in the raw files include atmospheric pressure, temperature, and relative humidity. These observations were converted to volumetric soil moisture in the processed data files. Data were collected between 26 August 2019 and 31 May 2020 at Grand Mesa, Colorado and represent a 200 m to 300 m area around the instrument.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_DSM_1",
+ "title": "SnowEx20 Grand Mesa In Situ Dielectric Soil Moisture V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-09-24",
+ "end_date": "2020-06-03",
+ "bbox": "-108.22, 39.004, -108.15, 39.037",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2053929094-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2053929094-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_DSM_1",
+ "description": "This data set consists of soil moisture and soil temperature measurements taken during the SnowEx 2020 field campaign. Soil moisture probes were deployed at 10 stations within the Colorado Grand Mesa study area and monitored soil properties at three different depths (5, 10, and 20 cm).",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_GIS_REF_1",
+ "title": "SnowEx20 Grand Mesa Reference GIS Data Sets V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-09-21",
+ "end_date": "2020-02-14",
+ "bbox": "-108.225, 38.993, -107.863, 39.125",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2107120625-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2107120625-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_GIS_REF_1",
+ "description": "This data set contains geolocation information of the infrastructure locations for the SnowEx20 Intensive Observation Period (IOP) and Time Series (TS) campaigns. Available scientific infrastructure locations in this data set are tower and sensor locations, aircraft flight lines, planned and actual snow pit locations, and time-lapse camera locations. Additionally, this data set contains areal snow depth and tree density classification matrix over the Grand Mesa, CO study area.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_GM_CSU_GPR_1",
+ "title": "SnowEx20 Grand Mesa IOP CSU 1GHz GPR V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-06",
+ "end_date": "2020-02-09",
+ "bbox": "-108.25, 39.015, -108, 39.04",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2083503776-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2083503776-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_GM_CSU_GPR_1",
+ "description": "This data set contains two-way travel times, snow depth and snow water equivalent (SWE) collected with a Sensors & Software 1GHz ground penetrating radar (GPR) as part of the SnowEx 2020 Intensive Observation Period (IOP) at Grand Mesa, Colorado between 06 February 2020 and 09 February 2020. These data are derived from the SnowEx20 Grand Mesa IOP CSU 1GHz GPR Raw, Version 1 data set (DOI: 10.5067/CT6NS2LIASRS)",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_GM_CSU_GPR_RAW_1",
+ "title": "SnowEx20 Grand Mesa IOP CSU 1GHz GPR Raw V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-06",
+ "end_date": "2020-02-09",
+ "bbox": "-108.25, 39.015, -108, 39.04",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2083503967-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2083503967-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_GM_CSU_GPR_RAW_1",
+ "description": "This data set the raw files collected with a Sensors & Software 1GHz ground penetrating radar (GPR) as part of the SnowEx 2020 Intensive Observation Period (IOP) at Grand Mesa, Colorado between 06 February 2020 and 09 February 2020. The more processed data are published in SnowEx20 Grand Mesa IOP CSU 1GHz GPR, Version 1 (DOI: 10.5067/S5EGFLCIAB18)",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_GM_CTSM_1",
+ "title": "SnowEx20 Grand Mesa IOP Computed Tomography Snow Microstructure V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-03",
+ "end_date": "2020-02-08",
+ "bbox": "-108.228389, 39.005111, -108.110485, 39.065321",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2695623073-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2695623073-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_GM_CTSM_1",
+ "description": "This data set characterizes snow microstructure for 6 snow pits from the SnowEx 2020 Grand Mesa Intensive Observation Period (February 2020) using microcomputed tomography (micro-CT). Included with this data set are two- and three-dimensional microstructural analysis of DMP/DEP casted and un-casted snow samples, available as .xlsx and .txt file, and visual representations of the three-dimensional snow structure, available is .bmp image files. Containers of snow were collected at 6 snow pits in approximately 17 cm intervals. There were approximately 5-8 discrete containers per pit and each container had an ~2 cm overlap with the sample below. A 6-cm section of snow was dissected from each container of snow, which were analyzed in ~2 cm sub-sections. Each sub-section was scanned in three intervals using a micro-CT instrument. The three interval scans comprise multiple slices, and were combined into the reconstructed final scan used for calculating the snow microstructural data.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_GM_Lidar_1",
+ "title": "SnowEx20 Grand Mesa IOP QSI Lidar Snow Depth Data V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-01",
+ "end_date": "2020-02-02",
+ "bbox": "-108.21092, 39.009209, -108.157747, 39.039456",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3142513079-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3142513079-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_GM_Lidar_1",
+ "description": "This data set contains rasterized snow depth maps derived from lidar point cloud data collected from Grand Mesa, Colorado during the SnowEx20 campaign. The subset data file was used as input data to derive SWE and snow density data, which is available as SnowEx20 Grand Mesa IOP Lidar and GPR-Derived Snow Water Equivalent and Snow Density, Version 1.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_GM_SP_1",
+ "title": "SnowEx20 Grand Mesa Intensive Observation Period Snow Pit Measurements V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-27",
+ "end_date": "2020-02-12",
+ "bbox": "-108.228389, 39.005111, -108.110485, 39.065321",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1990738958-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1990738958-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_GM_SP_1",
+ "description": "This data set contains snow pit observations from the SnowEx 2020 Grand Mesa Intensive Observation Period. Data were collected from 154 snow pits on Grand Mesa, Colorado between 27 January and 12 February 2020. The main parameters for this data set are snow temperature, snow depth, snow density, snow stratigraphy, snow grain size, liquid water content, and snow water equivalent. In addition to data files, this data set also contains site photos from each snow pit.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_GM_SWE_SD_1",
+ "title": "SnowEx20 Grand Mesa IOP Lidar and GPR-Derived Snow Water Equivalent and Snow Density V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-01",
+ "end_date": "2020-02-02",
+ "bbox": "-108.21092, 39.009209, -108.157747, 39.039456",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3140422168-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3140422168-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_GM_SWE_SD_1",
+ "description": "This data set contains snow water equivalent (SWE) and snow density raster data derived from a lidar-based snow depth data set (SnowEx20 Grand Mesa IOP QSI Lidar Snow Depth Data, Version 1), a lidar-based digital terrain model (ASO L4 Lidar Point Cloud Digital Terrain Model 3m UTM Grid, Version 1), and two GPR data sets (SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR, Version 1 and Mesa IOP UNM 800 and 1600 MHz MALA GPR, Version 1). Data was collected during the NASA SnowEx 2020 field campaign in Grand Mesa, Colorado.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_J_UNM_GPR_1",
+ "title": "SnowEx20 Jemez UNM 800 MHz MALA GPR V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-22",
+ "end_date": "2020-03-04",
+ "bbox": "-106.537, 35.85, -106.505, 35.889",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2059268385-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2059268385-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_J_UNM_GPR_1",
+ "description": "This data set contains two-way travel times from a ground penetrating radar survey conducted at Jemez, New Mexico. Data were collected between 12 February 2020 and 04 March 2020 as part of the SnowEx 2020 campaign.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_QSI_DEM_1",
+ "title": "SnowEx20-21 QSI Lidar DEM 0.5m UTM Grid V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2021-09-16",
+ "end_date": "2021-09-21",
+ "bbox": "-117.0661, 38.9681, -105.7432, 44.3658",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2435982480-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2435982480-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX20_QSI_DEM_1",
+ "description": "This data set is part of the SnowEx 2021 campaign and provides bare Earth digital elevation models (DEM) acquired by a scanning lidar system at a 0.5 m spatial resolution, and derived from point cloud digital terrain models. DEMs are available for September 2021 and from multiple areas in Colorado, Idaho, and Utah. These data were produced alongside Vegetation Height and Snow Depth data sets.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_QSI_DEM_3m_1",
+ "title": "SnowEx20-21 QSI Lidar DEM 3m UTM Grid V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2021-09-16",
+ "end_date": "2021-09-21",
+ "bbox": "-117.0661, 38.9681, -105.7432, 44.3658",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2603552400-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2603552400-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX20_QSI_DEM_3m_1",
+ "description": "This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides bare Earth digital elevation models (DEM) acquired by a scanning lidar system at a 3.0 m spatial resolution, and derived from point cloud digital terrain models. DEMs are available for September 2021 and from multiple areas in Colorado, Idaho, and Utah. These data were produced alongside Vegetation Height and Snow Depth data sets.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_QSI_SD_1",
+ "title": "SnowEx20-21 QSI Lidar Snow Depth 0.5m UTM Grid V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-09",
+ "end_date": "2021-03-20",
+ "bbox": "-117.0661, 38.9681, -105.7432, 44.3658",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2435980844-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2435980844-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX20_QSI_SD_1",
+ "description": "This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides snow depth values at a 0.5 m spatial resolution, derived from point cloud digital terrain models. Snow depths are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside DEM and Vegetation Height data sets.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_QSI_SD_3m_1",
+ "title": "SnowEx20-21 QSI Lidar Snow Depth 3m UTM Grid V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-09",
+ "end_date": "2021-03-20",
+ "bbox": "-117.0661, 38.9681, -105.7432, 44.3658",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2603552692-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2603552692-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX20_QSI_SD_3m_1",
+ "description": "This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides snow depth values at a 3.0 m spatial resolution, derived from point cloud digital terrain models. Snow depths are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside DEM and Vegetation Height data sets.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_QSI_VH_1",
+ "title": "SnowEx20-21 QSI Lidar Vegetation Height 0.5m UTM Grid V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-01",
+ "end_date": "2021-03-20",
+ "bbox": "-117.0661, 38.9681, -105.7432, 44.3658",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2435979546-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2435979546-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX20_QSI_VH_1",
+ "description": "This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides vegetation height values at a 0.5 m spatial resolution, derived from point cloud digital terrain models. Vegetation heights are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside DEM and Snow Depth data sets.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_QSI_VH_3m_1",
+ "title": "SnowEx20-21 QSI Lidar Vegetation Height 3m UTM Grid V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-01",
+ "end_date": "2021-03-20",
+ "bbox": "-117.0661, 38.9681, -105.7432, 44.3658",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2603552502-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2603552502-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX20_QSI_VH_3m_1",
+ "description": "This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides vegetation height values at a 3.0 m spatial resolution, derived from point cloud digital terrain models. Vegetation heights are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside DEM and Snow Depth data sets.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_SB_GST_1",
+ "title": "SnowEx20 Senator Beck Basin Transect Ground Surface Temperature V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-10-20",
+ "end_date": "2020-07-18",
+ "bbox": "-107.73043, 37.904418, -107.723272, 37.918306",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1943097217-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1943097217-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_SB_GST_1",
+ "description": "This data set contains hourly ground surface temperature measurements collected between 20 October 2019 and 18 July 2020. Data were collected at 7 points along two plant monitoring transects in the Upper Basin of the Senator Beck Study Basin. Temperatures were measured using iButton temperature sensors.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_SD_1",
+ "title": "SnowEx20 Community Snow Depth Probe Measurements V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-28",
+ "end_date": "2020-02-12",
+ "bbox": "-108.228, 39, -107.997, 39.07",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1917766830-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1917766830-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_SD_1",
+ "description": "This data set, collected during the SnowEx 2020 Intensive Operation Period (IOP) in Grand Mesa, Colorado, contains in situ snow depth measurements. Snow depth was measured using one of three instruments - Magnaprobe, Mesa 2, or pit ruler. Pit ruler data were collected from 150 snow pits identified for the Grand Mesa IOP. Magnaprobe and Mesa 2 data were collected along spiral tracks moving outwards from snow pit locations. This data set has a temporal coverage from 28 January to 12 February 2020.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_SD_TLI_1",
+ "title": "SnowEx20 Grand Mesa Snow Depth from Snow Pole Time-Lapse Imagery V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-09-29",
+ "end_date": "2020-06-10",
+ "bbox": "-108.228, 39, -107.997, 39.067",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2236390694-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2236390694-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_SD_TLI_1",
+ "description": "This data contains snow depth measurements derived from time-lapse images collected by cameras placed around Grand Mesa, CO at 29 sites coincident with other SnowEx 2020 measurements. The field view of all cameras includes a 3.049 m, (10 ft) vertical pole that was painted red with a yellow top to serve as a reference for quantifying snow depth. The time-lapse images are archived separately at NSIDC (SNEX20_TLI).",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_SMP_1",
+ "title": "SnowEx20 SnowMicroPen (SMP) Raw Penetration Force Profiles V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-28",
+ "end_date": "2020-02-12",
+ "bbox": "-108.2201, 39.0139, -108.003, 39.0541",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1931426050-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1931426050-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX20_SMP_1",
+ "description": "This data set contains raw penetration force profiles from the SnowEx 2020 Intensive Observation Period in Grand Mesa, Colorado. Measurements were taken using the SnowMicroPen (SMP), a digital snow penetrometer. The data files contain force measurements (in Newtons) at various snow depths. Data are available from 28 January 2020 through 12 February 2020.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_SSA_1",
+ "title": "SnowEx20 Laser Snow Microstructure Specific Surface Area Data V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-27",
+ "end_date": "2020-02-12",
+ "bbox": "-108.22143, 39.0087, -108.00312, 39.06417",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1970755314-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1970755314-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_SSA_1",
+ "description": "This data set contains vertical profiles of snow reflectance, specific surface area (SSA), and spherical equivalent snow grain diameter. Data were collected during the SnowEx 2020 Grand Mesa, Colorado Intensive Observation Period between 27 January and 12 February 2020. Reflectance was measured at snow pits using one of two integrating sphere laser devices, IRIS (InfraRed IntegraXng Sphere) or IceCube. SSA and spherical equivalent diameter were then derived from reflectance.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_SWESARR_TB_1",
+ "title": "SnowEx20 Airborne SWESARR Brightness Temperature V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-10",
+ "end_date": "2020-02-12",
+ "bbox": "-108.242, 38.987, -108.097, 39.085",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2068420609-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2068420609-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_SWESARR_TB_1",
+ "description": "This data set contains airborne microwave brightness temperature observations from the Goddard Space Flight Center SWESARR (Snow Water Equivalent Synthetic Aperture Radar and Radiometer) instrument during the winter (10-12 February 2020) NASA SnowEx 2020 campaign at Grand Mesa, CO. Observations were made at three frequencies (10.65, 18.7, and 36.5 GHz; referred to as X, K, and Ka bands, respectively), at horizontal polarization with a nominal 45-degree look angle.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_TLI_1",
+ "title": "SnowEx20 Time-Lapse Imagery V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-09-21",
+ "end_date": "2020-08-18",
+ "bbox": "-108.216, 39.007, -107.934, 39.055",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2214722684-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2214722684-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX20_TLI_1",
+ "description": "This data set contains sub-daily time-lapse images collected by cameras placed around Grand Mesa, CO at 29 sites coincident with other SnowEx 2020 measurements. The field view of all cameras includes a 3.049 m, (10 ft) vertical pole that was painted red with a yellow top to serve as a reference for quantifying snow depth. Snow depth data derived from these time-lapse images will be published separately at NSIDC.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_TLS_PC_BSU_1",
+ "title": "SnowEx20 Boise State University Terrestrial Laser Scanner (TLS) Point Cloud V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-09-23",
+ "end_date": "2020-02-02",
+ "bbox": "-108.146, 39, -108.025, 39.041",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1996524638-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1996524638-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_TLS_PC_BSU_1",
+ "description": "This data set contains terrestrial laser scanner (TLS) point cloud data collected as part of the 2020 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2019) and snow-on (February 2020) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). These TLS data can be used to determine snow depth and explore the interactions between snow and vegetation.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_TLS_PC_BSU_RAW_1",
+ "title": "SnowEx20 Boise State University Raw Terrestrial Laser Scanner (TLS) Point Cloud V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-09-23",
+ "end_date": "2020-02-02",
+ "bbox": "-108.146, 39, -108.025, 39.041",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995889809-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995889809-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_TLS_PC_BSU_RAW_1",
+ "description": "This data set contains raw, unprocessed terrestrial laser scanner (TLS) point cloud data collected as part of the 2020 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2019) and snow-on (February 2020) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). A processed version of this data set can be found here: https://doi.org/10.5067/F0M99WK7JW4X.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_TLS_PC_CRREL_1",
+ "title": "SnowEx20 CRREL Terrestrial Laser Scanner (TLS) Point Cloud V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-09-23",
+ "end_date": "2020-02-01",
+ "bbox": "-108.228, 39, -107.997, 39.07",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1937994549-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1937994549-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MTcgcmFkaW9tZXRyaWNzIHN1cmZhY2UtYmFzZWQgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgxN19TQlJcIixcIjFcIiwxNTk3NzM2NzU1LDk2XSIsInVtbSI6IltcInNub3dleDE3IHJhZGlvbWV0cmljcyBzdXJmYWNlLWJhc2VkIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMTdfU0JSXCIsXCIxXCIsMTU5NzczNjc1NSw5Nl0ifQ%3D%3D/SNEX20_TLS_PC_CRREL_1",
+ "description": "This data set contains terrestrial LIDAR survey (TLS) point cloud data collected at Grand Mesa, Colorado as part of the 2020 SnowEx campaign. Data were collected in fall 2019 (September) and winter 2020 (January and February). Each data file contains X, Y, and Z coordinates (Easting, Northing, and Elevation), along with ancillary information, such as intensity (i) and color (R,G,B), where available.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_TS_SP_2",
+ "title": "SnowEx20 Time Series Snow Pit Measurements V002",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2019-10-24",
+ "end_date": "2020-05-20",
+ "bbox": "-120.29897, 35.85794, -105.54616, 44.30455",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929469669-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929469669-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX20_TS_SP_2",
+ "description": "The data set is a time-series of snow pit measurements obtained by the SnowEx community during the 2020 campaign. Between October 2019 and May 2020, data were collected from 454 snow pits at 12 regional locations throughout California, Colorado, Idaho, New Mexico, and Utah, USA. At each of the locations, between 1 and 11 sites covering a range of conditions (terrains, snow depths, etc.) were chosen for weekly snow pit observations. Also available are photos of the field notes and snow pit sites.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_UNM_GPR_1",
+ "title": "SnowEx20 Grand Mesa IOP UNM 800 and 1600 MHz MALA GPR V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-01-28",
+ "end_date": "2020-02-06",
+ "bbox": "-108.21, 39.005, -108.12, 39.05",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2059268334-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2059268334-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_UNM_GPR_1",
+ "description": "This data set contains two-way travel times, snow depth and now water equivalent from a ground penetrating radar survey conducted at Grand Mesa, Colorado. Data were collected between 28 January 2020 and 06 February 2020 as part of the SnowEx 2020 campaign.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX20_VPTS_Raw_1",
+ "title": "SnowEx20 Raw Near Surface Snow Temperature Profile Time Series V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-02-05",
+ "end_date": "2020-02-12",
+ "bbox": "-108.215629, 39.006, -108.17523, 39.036349",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1997892310-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1997892310-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgZ3JhbmQgbWVzYSBhdXR1bW4gMjAxOSBzbm93IHBpdHMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfQTE5X1NQXCIsXCIxXCIsMjEzNTI4Nzc3MCw3Nl0iLCJ1bW0iOiJbXCJzbm93ZXgyMCBncmFuZCBtZXNhIGF1dHVtbiAyMDE5IHNub3cgcGl0cyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9BMTlfU1BcIixcIjFcIiwyMTM1Mjg3NzcwLDc2XSJ9/SNEX20_VPTS_Raw_1",
+ "description": "This data set contains an eight-day time series of vertical temperature profile measurements. Measurements were collected using a thermoprobe to a depth of 30 cm at two site locations. These data were collected as part of the SnowEx 2020 Intensive Observation Period in Grand Mesa, Colorado. Alongside temperature profiles, this data set contains snow depth measurements, manual temperature measurements, and thermal infrared camera images. These data are published without QA/QC or calibration with manual measurements.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX21_COCP_GPR_1",
+ "title": "SnowEx21 Cameron Pass Ground Penetrating Radar V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2021-01-13",
+ "end_date": "2021-05-27",
+ "bbox": "-105.893, 40.517, -105.867, 40.566",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2439238393-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2439238393-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX21_COCP_GPR_1",
+ "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx21 campaign. Data include two-way travel time, pit-measured snow density, calculated snow depth, and calculated snow water equivalent. Data were collected between 13 January 2021 and 27 May 2021.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX21_COCP_GPR_Raw_1",
+ "title": "SnowEx21 Cameron Pass Ground Penetrating Radar Raw V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2021-01-13",
+ "end_date": "2021-05-27",
+ "bbox": "-105.893, 40.517, -105.867, 40.566",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2551380225-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2551380225-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX21_COCP_GPR_Raw_1",
+ "description": "This data set contains the raw files from ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx21 campaign. Data were collected between 13 January 2021 and 27 May 2021.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX21_DSM_1",
+ "title": "SnowEx21 Prairie Station In Situ Dielectric Soil Moisture and Soil Temperature V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-11-05",
+ "end_date": "2021-04-02",
+ "bbox": "-109.959, 47.055, -109.946, 47.065",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2215574184-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2215574184-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX21_DSM_1",
+ "description": "This data set consists of soil moisture and soil temperature measurements taken during the SnowEx 2021 field campaign. Soil moisture probes were deployed at 9 locations within the Montana Prairie Station study area and monitored soil properties at four different depths (5, 10, 20 and 50 cm).",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX21_SSR_1",
+ "title": "SnowEx21 Senator Beck Basin and Grand Mesa, CO AVIRIS-NG Surface Spectral Reflectance V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2021-03-19",
+ "end_date": "2021-04-29",
+ "bbox": "-109, 37, -107, 40",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2560987849-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2560987849-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX21_SSR_1",
+ "description": "This data set provides apparent surface spectral reflectance imagery which demonstrates snow albedo and snow optical property evolution across two distinct snow-covered environments in Colorado. Data collection occurred in the spring of 2021 as part of the NASA SnowEx mission. The two study sites (Senator Beck Basin and Grand Mesa) were chosen for their contrasting terrain and vegetation characteristics. Data collection occurred over three days (19 March, 1 April, and 29 April) to produce a time series data set across varying snow conditions.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX21_TS_SP_1",
+ "title": "SnowEx21 Time Series Snow Pits V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2020-11-16",
+ "end_date": "2021-05-27",
+ "bbox": "-116.12351, 37.9071, -105.86093, 47.0607",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3046987606-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3046987606-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX21_TS_SP_1",
+ "description": "The data set is a time-series of snow pit measurements obtained by the SnowEx community during the 2021 field campaign. Between November 2020 and May 2021 data from 247 snow pits were collected at 24 unique sites distributed over 4 states (CO, ID, MT, UT) throughout the Western United States. Five of the unique sites had a single visit to establish baseline conditions, while the remaining 19 sites had 3 or more repeat visits throughout the season, with a median visit count of 11.5. On a weekly interval, a snow pit was dug approximately 1 m away from the previous week\u2019s snow pit. Available measured parameters are: snow depth, snow temperature, snow density, stratigraphy, grain size, manual wetness, liquid water content (LWC), and snow water equivalent (SWE). Also available are photos of the field notes and snow pit sites.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_BCEF_TLS_1",
+ "title": "SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2022-10-22",
+ "end_date": "2023-03-26",
+ "bbox": "-148.325, 64.697, -148.278, 64.714",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2854618795-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2854618795-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX23_BCEF_TLS_1",
+ "description": "This data set contains digital terrain models (DTMs) derived from terrestrial lidar scans (TLS) collected as part of the SnowEx 2023 campaign. Data were collected at the Bonanza Creek Experimental Forest near Fairbanks, Alaska in October 2022 (snow-off conditions) and March 2023 (snow-on conditions). The DTMs are provided as Geographic Tagged Image (GeoTIFF) files, where each file corresponds to a unique survey site. Unprocessed point cloud data from which these DTMs were derived are available as the SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans Raw, Version 1 (SNEX23_BCEF_TLS_Raw) data set",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_BCEF_TLS_Raw_1",
+ "title": "SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans Raw V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2022-10-22",
+ "end_date": "2023-03-26",
+ "bbox": "-148.325, 64.697, -148.278, 64.714",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2856186714-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2856186714-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX23_BCEF_TLS_Raw_1",
+ "description": "This data set contains unprocessed point cloud data created from terrestrial lidar scans (TLS) collected during the SnowEx 2023 campaign from the Bonanza Creek Experimental Forest near Fairbanks, Alaska. Data were collected in October 2022 (snow-off) and March 2023 (snow-on). Digital terrain models (DTMs) derived from the raw point cloud data are available as the SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans, Version 1 (SNEX23_BCEF_TLS) data set",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_CRREL_GPR_1",
+ "title": "SnowEx23 CRREL Ground Penetrating Radar V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-03-08",
+ "end_date": "2023-03-15",
+ "bbox": "-149.598, 68.5257, -149.2186, 68.64",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215566728-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215566728-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY29sb3JhZG8gc3RhdGUgdW5pdmVyc2l0eSBncm91bmQgcGVuZXRyYXRpbmcgcmFkYXIgcmF3IHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIzX0NTVV9HUFJfUmF3XCIsXCIxXCIsMzE4NDc4NzQxNiwxMF0iLCJ1bW0iOiJbXCJzbm93ZXgyMyBjb2xvcmFkbyBzdGF0ZSB1bml2ZXJzaXR5IGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1NVX0dQUl9SYXdcIixcIjFcIiwzMTg0Nzg3NDE2LDEwXSJ9/SNEX23_CRREL_GPR_1",
+ "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at the Upper Kuparuk/Toolik (UKT) site in northern Alaska, USA as part of the NASA SnowEx 2023 field campaign. Data were collected between 08 Mar 2023 to 15 Mar 2023, spatially coinciding with snow pit locations and along transects between snow pits. Data include two-way travel (TWT) time, calculated snow depth, and calculated snow water equivalent (SWE). Raw GPR data are available as SnowEx23 CRREL Ground Penetrating Radar Raw, Version 1.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_CRREL_GPR_Raw_1",
+ "title": "SnowEx23 CRREL Ground Penetrating Radar Raw V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-03-08",
+ "end_date": "2023-03-15",
+ "bbox": "-149.598, 68.5257, -149.2186, 68.64",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3227266712-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3227266712-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY29sb3JhZG8gc3RhdGUgdW5pdmVyc2l0eSBncm91bmQgcGVuZXRyYXRpbmcgcmFkYXIgcmF3IHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIzX0NTVV9HUFJfUmF3XCIsXCIxXCIsMzE4NDc4NzQxNiwxMF0iLCJ1bW0iOiJbXCJzbm93ZXgyMyBjb2xvcmFkbyBzdGF0ZSB1bml2ZXJzaXR5IGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1NVX0dQUl9SYXdcIixcIjFcIiwzMTg0Nzg3NDE2LDEwXSJ9/SNEX23_CRREL_GPR_Raw_1",
+ "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at the Upper Kuparuk/Toolik (UKT) site in northern Alaska, USA as part of the NASA SnowEx 2023 field campaign. Data were collected between 08 Mar 2023 to 15 Mar 2023, spatially coinciding with snow pit locations and along transects between snow pits. Data include georeferenced multichannel ground-penetrating radargrams stored within .nc files. PRocessed GPR data are available as SnowEx23 CRREL Ground Penetrating Radar, Version 1.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_CSU_GPR_Raw_1",
+ "title": "SnowEx23 Colorado State University Ground Penetrating Radar Raw V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-03-07",
+ "end_date": "2023-03-16",
+ "bbox": "-148.3296, 64.6992, -147.4802, 65.1701",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3184787416-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3184787416-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX23_CSU_GPR_Raw_1",
+ "description": "This data set contains the raw results of 1 GHz ground-penetrating radar surveys conducted as part of the NASA SnowEx23 field campaign in Alaska, USA. Surveys were conducted at three different field sites between 07 March 2023 and 16 March 2023: 1) Farmers Loop/Creamers Field, 2) the Bonanza Creek Experimental Forest, and 3) the Caribou/Poker Creek Research Watershed.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_Lidar_1",
+ "title": "SnowEx23 Airborne Lidar-Derived 0.25M Snow Depth and Canopy Height V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2022-03-11",
+ "end_date": "2023-10-25",
+ "bbox": "-148.5, 64.5, -148, 70",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2893208516-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2893208516-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX23_Lidar_1",
+ "description": "This data set provides digital terrain models, snow depth, and canopy height, acquired by a scanning lidar system and derived from Point Cloud Digital Terrain Models (PCDTMs) from two regions of Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and a coastal tundra environment in the North Slope region of the northern Alaska coastal plain (Arctic coastal plain and Upper Kuparuk Toolik). The raw data from which these data are derived are available as SnowEx23 Airborne Lidar Scans Raw, Version 1.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_Lidar_Raw_1",
+ "title": "SnowEx23 Airborne Lidar Scans Raw V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2022-03-11",
+ "end_date": "2023-10-25",
+ "bbox": "-148.5, 64.5, -148, 70",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2893835306-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2893835306-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIiwidW1tIjoiW1wic25vd2V4MjAgc2VuYXRvciBiZWNrIGJhc2luIHRyYW5zZWN0IGdyb3VuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIwX1NCX0dTVFwiLFwiMVwiLDE5NDMwOTcyMTcsODZdIn0%3D/SNEX23_Lidar_Raw_1",
+ "description": "This data set provides raw lidar data from two regions of Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and a coastal tundra environment in the North Slope region of the northern Alaska coastal plain (Arctic coastal plain and Upper Kuparuk Toolik). Processed data, including digital terrain models, snow depth, and canopy height derived from Point Cloud Digital Terrain Models (PCDTMs) are available as SnowEx23 Airborne Lidar-Derived 0.25M Snow Depth and Canopy Height, Version 1.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_MAR22_SD_1",
+ "title": "SnowEx23 Mar22 IOP Snow Depth Measurements V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2022-03-08",
+ "end_date": "2022-03-23",
+ "bbox": "-149.597, 64.699, -147.49, 70.085",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3154261714-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3154261714-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY29sb3JhZG8gc3RhdGUgdW5pdmVyc2l0eSBncm91bmQgcGVuZXRyYXRpbmcgcmFkYXIgcmF3IHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIzX0NTVV9HUFJfUmF3XCIsXCIxXCIsMzE4NDc4NzQxNiwxMF0iLCJ1bW0iOiJbXCJzbm93ZXgyMyBjb2xvcmFkbyBzdGF0ZSB1bml2ZXJzaXR5IGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1NVX0dQUl9SYXdcIixcIjFcIiwzMTg0Nzg3NDE2LDEwXSJ9/SNEX23_MAR22_SD_1",
+ "description": "The data set contains snow depth measurements from two regions of Alaska, USA collected during the March 2022 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and a coastal tundra site in the North Slope region (Arctic coastal plain). Snow depth measurements collected from the study sampling sites during the subsequent field season are available as SnowEx23 Mar23 IOP Snow Depth Measurements, Version 1.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_MAR23_SD_1",
+ "title": "SnowEx23 Mar23 IOP Community Snow Depth Measurements V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-03-07",
+ "end_date": "2023-03-16",
+ "bbox": "-149.597, 64.699, -147.49, 70.085",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3172387010-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3172387010-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY29sb3JhZG8gc3RhdGUgdW5pdmVyc2l0eSBncm91bmQgcGVuZXRyYXRpbmcgcmFkYXIgcmF3IHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIzX0NTVV9HUFJfUmF3XCIsXCIxXCIsMzE4NDc4NzQxNiwxMF0iLCJ1bW0iOiJbXCJzbm93ZXgyMyBjb2xvcmFkbyBzdGF0ZSB1bml2ZXJzaXR5IGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1NVX0dQUl9SYXdcIixcIjFcIiwzMTg0Nzg3NDE2LDEwXSJ9/SNEX23_MAR23_SD_1",
+ "description": "The data set contains snow depth measurements from five study sites in Alaska, USA; data were collected during the March 2023 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and two coastal tundra sites in the North Slope region (Arctic coastal plain and Upper Kuparuk Toolik). Snow depth measurements collected from the study sampling sites during the previous field season are available as SnowEx23 Mar22 IOP Snow Depth Measurements, Version 1.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_SSA_1",
+ "title": "SnowEx23 Laser Snow Microstructure Specific Surface Area Data V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-03-06",
+ "end_date": "2023-03-16",
+ "bbox": "-149.597, 64.701, -147.4905, 70.085",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2735033831-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2735033831-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY29sb3JhZG8gc3RhdGUgdW5pdmVyc2l0eSBncm91bmQgcGVuZXRyYXRpbmcgcmFkYXIgcmF3IHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIzX0NTVV9HUFJfUmF3XCIsXCIxXCIsMzE4NDc4NzQxNiwxMF0iLCJ1bW0iOiJbXCJzbm93ZXgyMyBjb2xvcmFkbyBzdGF0ZSB1bml2ZXJzaXR5IGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1NVX0dQUl9SYXdcIixcIjFcIiwzMTg0Nzg3NDE2LDEwXSJ9/SNEX23_SSA_1",
+ "description": "This data set contains vertical profiles of snow reflectance and specific surface area (SSA) from the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer\u2019s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik), collected as part of the NASA SnowEx 2023 field campaign in March 2023. Reflectance was measured in snow pits using three different integrating sphere laser devices: an A2 Photonic Sensor IceCube (1310 nm), an IRIS (InfraRed Integrating Sphere) system (1310 nm), and an InfraSnow SSA sensor (945 nm). Measured reflectance values were converted to SSA during data processing. It is recommended that data users work with either the IceCube or IRIS data, as the InfraSnow data was collected primarily for testing of the instrument\u2019s capabilities. Snow-off SSA data from these same study sites are available as SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data, Version 1.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_SSA_SO_1",
+ "title": "SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-10-17",
+ "end_date": "2023-10-28",
+ "bbox": "-149.5964, 64.701, -147.4906, 70.084",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2881748646-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2881748646-NSIDC_ECS.html",
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+ "description": "This data set reports vertical profiles of snow reflectance and specific surface area (SSA) from two study sites in Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer\u2019s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik). Reflectance was measured in situ using an A2 Photonic Sensor IceCube (1310 nm). Measured reflectance values were converted to SSA during data processing following the methods of Gallet et al., (2009). Snow-on SSA data from these same study sites were collected in March 2023 and are available as SnowEx23 Laser Snow Microstructure Specific Surface Area Data, Version 1.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_SWE_1",
+ "title": "SnowEx23 Snow Water Equivalent V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-03-13",
+ "end_date": "2023-03-16",
+ "bbox": "-149.494, 64.8677, -147.6745, 68.615",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3041011983-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3041011983-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY29sb3JhZG8gc3RhdGUgdW5pdmVyc2l0eSBncm91bmQgcGVuZXRyYXRpbmcgcmFkYXIgcmF3IHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIzX0NTVV9HUFJfUmF3XCIsXCIxXCIsMzE4NDc4NzQxNiwxMF0iLCJ1bW0iOiJbXCJzbm93ZXgyMyBjb2xvcmFkbyBzdGF0ZSB1bml2ZXJzaXR5IGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1NVX0dQUl9SYXdcIixcIjFcIiwzMTg0Nzg3NDE2LDEwXSJ9/SNEX23_SWE_1",
+ "description": "This data set presents snow depth, snow water equivalent (SWE), and bulk snow density data collected during the NASA SnowEx 2023 field campaign between March 13-16 2023. Samples were collected using an Adirondack snow sampler (SWE tube) from two study sites: Upper Kuparuk and Toolik (UKT), an arctic tundra environment in Northern Alaska, and Farmers Loop Creamers Field (FLCF), a boreal forest near Fairbanks, Alaska.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_UW_GPR_1",
+ "title": "SnowEx23 University of Wyoming Ground Penetrating Radar V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-03-08",
+ "end_date": "2023-03-14",
+ "bbox": "-149.54981, 68.58784, -148.61304, 70.0846",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2917647163-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2917647163-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY29sb3JhZG8gc3RhdGUgdW5pdmVyc2l0eSBncm91bmQgcGVuZXRyYXRpbmcgcmFkYXIgcmF3IHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU05FWDIzX0NTVV9HUFJfUmF3XCIsXCIxXCIsMzE4NDc4NzQxNiwxMF0iLCJ1bW0iOiJbXCJzbm93ZXgyMyBjb2xvcmFkbyBzdGF0ZSB1bml2ZXJzaXR5IGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1NVX0dQUl9SYXdcIixcIjFcIiwzMTg0Nzg3NDE2LDEwXSJ9/SNEX23_UW_GPR_1",
+ "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at the Arctic Coastal Plain (ACP) site and the Upper Kuparuk/Toolik (UKT) site in northern Alaska during the SnowEx23 field campaign. Data include two-way travel time, derived snow depth, and derived snow water equivalent. Data were collected between 8 - 14 March 2023.",
+ "license": "proprietary"
+ },
{
"id": "SNEX_HRSI_SD_DEM_CO_1",
"title": "SnowEx Colorado 3M Snow Depth Time Series and DEMs from High-Resolution Satellite Image Pairs V001",
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"description": "Dimension analysis (diameter at breast high, tree height, depth of crown), estimated leaf area, and total aboveground biomass for sacrificed spruce and aspens in Superior National Forest, MN",
"license": "proprietary"
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"description": "Biophysical parameters (DBH, NPP, biomass, bark area index, LAI, subcanopy LAI) by study site for Aspen and Spruce in the Superior National Forest, MN (SNF)",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2884972378-ORNL_CLOUD.html",
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"description": "SNF study site count of the number of trees over 2 meters, broken down by species code; see also SNF Plant Species Codes",
"license": "proprietary"
},
@@ -161559,7 +164328,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2884983610-ORNL_CLOUD.html",
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"description": "Site characterization parameters (canopy density, litter components, soil characterization: color, moisture, components) for selected sites within the Superior National Forest, MN during 1988-89",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2884983697-ORNL_CLOUD.html",
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"description": "Biophysical parameters (DBH, shrub diameter, growth format, frequency) for selected sites within the Superior National Forest, MN, during 1988-89",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2884972432-ORNL_CLOUD.html",
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"description": "Canopy spectral reflectance data collected from the helicopter-mounted MMR in the Superior National Forest, Minnesota, 1983-84",
"license": "proprietary"
},
@@ -161598,7 +164367,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2884983206-ORNL_CLOUD.html",
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"description": "Reflectance and transmittance properties of the leaves, needles, branches, moss, and litter of 8 major overstory tree species and 3 understory shrubs measured by Cary-14 spectrometer in the SNF, MN",
"license": "proprietary"
},
@@ -161611,7 +164380,7 @@
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"license": "proprietary"
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515912673-ORNL_CLOUD.html",
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"description": "This dataset provides estimates of soil organic carbon (SOC) in tidal wetlands for the northeastern United States. The data cover the period 1998-2018. Northeastern U.S. tidal wetlands and bordering areas were harmonized from government agencies [U.S. Department of Agriculture - Natural Resources Conservation Service (USDA-NRCS), National Cooperative Soil Survey (NCSS), USDA-NRCS - Rapid Carbon Assessment (RaCA), U.S. Environmental Protection Agency - National Wetland Condition and Assessment (EPA-NWCA)] and published studies. Point data for carbon stocks (in kg m-2) at four soil depths (0-5, 0-30, 0-100, and 0-200 cm) are included. SOC for the four depths was predicted for eight regional zones using regression models driven by environmental covariates. Two methods were used to estimate parameters for these models, a Random Forest (RF) Ranger method and a Quantile Regression Forest (QRF) model. The distribution of SOC was predicted for tidal wetland cover types mapped by Correll et al. (2019). Predictions and uncertainties are available at a 3 m resolution.",
"license": "proprietary"
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"description": "This dataset provides estimates of total organic soil carbon (SOC), pyrogenic (PyC), particulate (POC), and other organic soil carbon (OOC) fractions in 473 surface layer soil samples collected from stratified-sampling locations in Colorado, Kansas, New Mexico, and Wyoming, USA. Terrain, climate, soil, fire, and land cover data used to predict and map SOC, PyC, POC, and OOC at 1 km resolution throughout the study region are also included. The estimates were derived using a best random forest regression model and cover the period 2007-05-01 to 2010-10-01.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864144-ORNL_CLOUD.html",
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"description": "This data set provides measurements of soil carbon dioxide (CO2) emission rates, soil moisture, relative humidity (RH), temperature, and litterfall from six types of tree plantations at the La Selva Biological Station, Costa Rica. Soil CO2 flux and related measurements were made 1) hourly during 2-day diel field campaigns and 2) as single daytime measurements during multiple survey campaigns, over the period 2004-2010. All measurements were made at the same sites to compare hourly, monthly, and inter-annual variations. Most of the emissions data represent a single soil CO2 flux measurement, with three to five measurements per plot. Litterfall was collected monthly from 2003-2009 and was sorted into fractions prior to drying.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360665-OB_DAAC.html",
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"description": "Measurements made under the SORTIE (Spectral Ocean Radiance Transfer Investigation and Experiment) program between 2007 and 2009.",
"license": "proprietary"
},
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"id": "SPL1BTB_NRT_105",
"title": "Near Real-time SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures V105",
"catalog": "NSIDC_ECS STAC Catalog",
- "state_date": "2024-08-20",
+ "state_date": "2024-08-29",
"end_date": "",
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2257958430-NSIDC_ECS.umm_json",
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"id": "SPL2SMP_NRT_107",
"title": "Near Real-time SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V107",
"catalog": "NSIDC_ECS STAC Catalog",
- "state_date": "2024-08-20",
+ "state_date": "2024-08-29",
"end_date": "",
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2312096175-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2312096175-NSIDC_ECS.html",
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"description": "This Near Real-Time (NRT) data set corresponds to the standard SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture (SPL2SMP) product. The data provide estimates of global land surface conditions measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4\u00b0S to 86.4\u00b0N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product SPL2SMP (https://doi.org/10.5067/LPJ8F0TAK6E0).",
"license": "proprietary"
},
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"description": "The Solar Spectral Flux Radiometer (SSFR) was deployed on the University of Washington CV-580 during the dry season component of the Southern African Regional Science Initiative, August 1 - September 20, 2000. The SSFR made simultaneous measurements of both downwelling and upwelling net solar spectral irradiance at varying flight levels. Data have been provided for twenty flights in netcdf format for the period August 17 - September 16, 2000.For a complete detailed guide to the extensive measurements obtained aboard the UW Convair-580 aircraft in support of SAFARI 2000, see the UW Technical Report for the SAFARI 2000 Project.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2418887632-OB_DAAC.html",
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"description": "Ocean-colour sensors mounted on satellites can view the entire ocean over a period of a few days. However, to calibrate these sensors and validate the data, satellite observations must be compared with accurate and reliable in situ measurements, collected at the ocean surface. There are many regions of the ocean where these in situ measurements are rarely collected. Ocean-colour sensors can be mounted on research vessels and ships of opportunity. In this project, an ocean-colour sensor (Seabird HyperSAS Solar Tracker) was mounted on a yacht that visits remote regions of the planet where few observations have been collected. This project aims to process this data to a level for use by the scientific community for scientific applications, such as satellite validation.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360669-OB_DAAC.html",
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"description": "Measurements made near southwest Florida in 2010 and 2011.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756239079-ORNL_CLOUD.html",
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"description": "This data set provides an estimate of the spatial and temporal extent of surface water at 250-m resolution over nine years (2003-2011) for the African Sahel region (10-20 degrees N) using imagery from the Moderate-resolution Imaging Spectroradiometer (MODIS). Water bodies were identified by a spectral analysis of MODIS vegetation indices with the aim to improve existing regional to global mapping products. This data set can be used to enhance the understanding of Earth system processes, and to support global change studies, agricultural planning, and disease prevention. These data provide a gridded (250-m) estimate of the number of years (during 2003-2011) that a pixel was covered by water. The data are presented in a single netCDF (*.nc) file.",
"license": "proprietary"
},
@@ -167474,7 +170243,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360636-OB_DAAC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360636-OB_DAAC.html",
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"description": "Measurements near the Southern Californias coast made under the San Diego Coastal Project between 2004 and 2006.",
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"description": "This data set provides soil descriptions for forested areas in the BOREAS southern study area (SSA) in central Saskatchewan, Canada provided by Agriculture Canada. The data contain soil code, modifiers, extent, and soil names for the primary, secondary, and tertiary soil units within each polygon.",
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"license": "proprietary"
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"description": "Measurements from the Baltic Sea in 1999.",
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"description": "Measurements spanning from the California coast to Hawaii in the mid-Pacific Ocean from 1998 to 2006.",
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"description": "This dataset provides allometrically-estimated carbon stocks of 9,947,310,221 tree crowns derived from 50-cm resolution satellite images within the 0 to 1000 mm/year precipitation zone of Africa north of the equator and south of the Sahara Desert. These data are presented in GeoPackage (*.gpkg) format and are summarized in Cloud-Optimized GeoTIFF (COG) format. An interactive viewer application developed to display these carbon estimates at the individual tree level across the study area is available at: https://trees.pgc.umn.edu/app. The analysis utilized 326,523 Maxar multispectral satellite images collected between 2002 to 2021 for the early dry season months of November to March to identify tree crowns. Metadata from satellite image processing across the study area are presented in Shapefile (*.shp) format. Additionally, field measurements from destructive harvests used to derive allometry equations are contained in comma-separated values (*.csv) files. These data demonstrate a new tool for studying discrete semi-arid carbon stocks at the tree level with immediate applications provided by the viewer application. Uncertainty of carbon estimates are +/- 19.8%.",
"license": "proprietary"
},
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"description": "This data set provides two landcover and vegetation maps for the Seward Peninsula, Alaska. These maps were produced from existing maps, Landsat imagery, and color infrared aerial photography covering the period 1976-06-01 to 1999-09-01.",
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"description": "This dataset contains estimates for aboveground shrub biomass and uncertainty at high spatial resolution (0.80-m) across three research areas near Toolik Lake, Alaska. The estimates for August of 2013 were generated and mapped using Random Forest modeling with input variables of optimized LiDAR-derived canopy volume and height, mean NDVI from 4-band RGB color and near-IR orthophotographs, and harvested biomass data. Uncertainty in the final shrub biomass maps was quantified by producing separate maps showing the coefficient of variation (CV) of the Random Forest map estimates. Shrub biomass was harvested at Toolik Lake in 2014 and used to optimize inputs and validate the final model and these biomass data are also provided.",
"license": "proprietary"
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"description": "The Simple Biosphere Model, Version 3 (SiB3) was used to produce a global data set of hourly carbon fluxes between the atmosphere and the terrestrial biosphere for the years 1998-2006. This data set represents the global net ecosystem exchange (NEE) of carbon between the atmosphere and the terrestrial biosphere; specifically, the flux of CO2 between the planetary boundary layer (PBL) and the surface vegetation layer. Following atmospheric convention, flux is defined as positive into the atmosphere and negative into the surface vegetation.The data reported are 9 years of estimated hourly carbon flux for 14637 land points. Units are moles C/m2/sec.Data are provided in two NetCDF formats: The NetCDF format provided by the investigators -- format designed specifically to minimize disk storage volume that excludes water grid cells, and A CF Compliant NetCDF format -- generated by the ORNL DAAC that includes both land and water grid cells.The investigator provided NetCDF formatted files can be processed using the provided FORTRAN code (sib_process_flux.f90) and the land mask (sib_mask.nc) into hourly, daily-mean, or monthly-mean fluxes on a global 1x1 degree Cartesian grid. The monthly-mean SiB3 fluxes were compared to TransCom flux data available for years 2000-2005 (Gurney et al., 2008) as a means of evaluating overall behavior of the model. In general, SiB3 fluxes are within the error bars of the TransCom results.The CF compliant NetCDF format files have been processed by the ORNL DAAC and the hourly and summarized daily-mean and monthly-mean flux data files are provided. GeoTIFF format files:In addition, the CF convention NetCDF files were converted to GeoTIFF image files by the ORNL DAAC and are included with the data set. Companion file:Additional information about the data formats, methodology, and data quality is found in the companion file: SiB3_carbon_flux_readme.pdfAccess to GeoTIFF format files via WCS Interface:The ORNL DAAC also provides access to the GeoTIFF files via a Web Coverage Service Interface (WCS). The OpenGIS Web Coverage Service Interface Standard (WCS) defines a standard interface and operations that enables interoperable access to geospatial coverages.These data are a carbon cycle reanalysis, which may be thought of as analogous to NCEP meteorological reanalysis products. Carbon fluxes have been used by a large community of atmospheric transport modelers to create reanalysis of CO2 concentrations and the results have been evaluated against observations. In addition, the reanalyzed flux and CO2 fields are important for designing future observing strategies for the global carbon cycle.",
"license": "proprietary"
},
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"description": "This dataset provides global daily output predicted by the Simple Biosphere Model, Version 4.2 (SiB4), at a 0.5-degree spatial resolution covering the time period 2000 through 2018. SiB4 is a mechanistic land surface model that integrates heterogeneous land cover, environmentally responsive phenology, dynamic carbon allocation, and cascading carbon pools from live biomass to surface litter to soil organic matter. Daily output includes carbon, carbonyl sulfide, and energy fluxes; solar-induced fluorescence; carbon pools; soil moisture and temperatures in the top three layers; total column soil water and plant available water; and environmental potentials used to scale photosynthesis. The SiB4 output is per plant functional type (PFT) within each 0.5-degree grid cell. SiB4 partitions variable output to 15 PFTs in each grid cell that are indexed by the \"npft\" dimension (01-15) in each data file. The PFT three-character abbreviations (\"pft_names\" variable) are listed in the same order as the \"npft\" dimension. To combine the PFT-specific output into grid cell totals, users must compute the area-weighted mean across the vector of PFT-specific values for each cell. Fractional areal coverages are given in the \"pft_area\" variable for each cell.",
"license": "proprietary"
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"description": "This dataset provides global hourly output predicted from the Simple Biosphere Model, Version 4.2 (SiB4), at a 0.5-degree spatial resolution covering the time period 2000 through 2018. SiB4 is a mechanistic land surface model that integrates heterogeneous land cover, environmentally responsive phenology, dynamic carbon allocation, and cascading carbon pools from live biomass to surface litter to soil organic matter. Hourly output includes carbon fluxes, carbonyl sulfide (COS) fluxes, gross primary production, ecosystem respiration, solar-induced fluorescence (SIF), top-layer soil temperature and moisture, vegetation stress, photosynthetically active radiation (PAR), leaf and canopy-level carbon-dioxide partial pressures, and canopy conductance. The SiB4 output is per plant functional type (PFT) within each 0.5-degree grid cell. SiB4 partitions variable output to 15 PFTs in each grid cell that are indexed by the \"npft\" dimension (01-15) in each data file. The PFT three-character abbreviations (\"pft_names\" variable) are listed in the same order as the \"npft\" dimension. To combine the PFT-specific output into grid cell totals, users must compute the area-weighted mean across the vector of PFT-specific values for each cell. Fractional areal coverages are given in the \"pft_area\" variable for each cell.",
"license": "proprietary"
},
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"description": "This dataset provides global monthly output predicted by the Simple Biosphere Model, Version 4.2 (SiB4), at a 0.5-degree spatial resolution covering the time period 2000 through 2018. SiB4 is a mechanistic land surface model that integrates heterogeneous land cover, environmentally responsive phenology, dynamic carbon allocation, and cascading carbon pools from live biomass to surface litter to soil organic matter. Monthly output includes carbon, carbonyl sulfide (COS), and energy fluxes; solar-induced fluorescence (SIF); carbon pools; soil moisture and temperatures in the top three layers; total column soil water and plant available water; and environmental potentials used to scale photosynthesis. The SiB4 output is per plant functional type (PFT) within each 0.5-degree grid cell. SiB4 partitions variable output to 15 PFTs in each grid cell that are indexed by the \"npft\" dimension (01-15) in each data file. The PFT three-character abbreviations (\"pft_names\" variable) are listed in the same order as the \"npft\" dimension. To combine the PFT-specific output into grid cell totals, users must compute the area-weighted mean across the vector of PFT-specific values for each cell. Fractional areal coverages are given in the \"pft_area\" variable for each cell.",
"license": "proprietary"
},
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"description": "This data set provides 30-meter resolution mapped estimates of Cajander larch (Larix cajanderi) aboveground biomass (AGB), circa 2007, and a map of burn perimeters for 116 forest fires that occurred from 1966-2007. The data cover ~100,000 km2 of the Kolyma River Basin in northeastern Siberia, Sakha Republic, Russia.",
"license": "proprietary"
},
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"description": "This data set provides mapped estimates of the stand age of young (less than 25 years old) larch forests across Siberia from 1989-2012 at 30-m resolution. The age estimates were derived from Landsat-based composites and tree cover for years 2000 and 2012 developed by the Global Forest Change (GFC) project and the stand-replacing fire mapping (SRFM) data set. This approach is based on the assumption that the relationship between the spectral signature of a burned or unburned forest stand acquired by Landsat ETM+ and TM sensors and stand age before and after the year 2000 is similar, thus allowing for training an algorithm on the data from the post-2000 era and applying the algorithm to infer stand age for the pre-2000 era. The output map combines the modeled forest disturbances before 2000 and direct observations of forest loss after 2000 to deliver a 24-year stand age distribution map.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170971586-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170971586-ORNL_CLOUD.html",
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"description": "This dataset includes data from late-March snow surveys and hourly digital camera images from two study areas within the Wrangell St Elias National Park, Alaska. These data comprise snow density, stratigraphy, and temperature profiles obtained by snow pits; and snow depth data obtained from transects between snow pits. Daily snow depths, adjacent to each pit, were derived from hourly camera images of snow stakes placed adjacent to each pit. These data were collected to constrain and validate a physically-based, spatially-distributed snow evolution model used to simulate snow conditions in Dall sheep habitat. The two study areas are both located within the Jacksina Park Unit (JPU). The first study area, surveyed in 2017, included the northern end of Jaeger Mesa and an area near Rambler mine in the North East of the JPU. The second study area, surveyed in 2018, was within the upper watershed of Pass Creek in the North of the JPU. The remote cameras operated from September 2016 to August 2017 on Jaeger Mesa/Rambler Mine and from September 2017 to July 2018 at Pass Creek.",
"license": "proprietary"
},
@@ -168631,7 +171400,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2772851281-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2772851281-ORNL_CLOUD.html",
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"description": "This dataset contains three field seasons of snow-wildlife observations conducted at 707 sites from January 2021 to March 2023 in Washington and Alaska, spanning a broad range of snow conditions. Relatively fresh tracks (usually <24 h) of common large mammal predators (bobcats, coyotes, cougars, and wolves) and their ungulate prey (caribou, Dall sheep, moose, mule deer, and white-tailed deer) were investigated to determine how snow affects predator-prey interactions. The track sink depth and dimensions (width and length) of three consecutive footprints were measured from one individual. Age class was recorded for moose based either on visual confirmation of an individual creating snow tracks or based on track dimensions. The ability to differentiate age classes for smaller ungulates was more uncertain, so age classes for deer, caribou, or sheep were not specified. Animal gait was identified using a simple classification scheme. Data also include animal species, snow density, hardness, total ice, surface temperature, and vegetation type. To best capture snow hardness, surface penetrability and hand-hardness were measured throughout the snowpack. The data are provided in comma-separated values (CSV) format.",
"license": "proprietary"
},
@@ -168644,7 +171413,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764725108-ORNL_CLOUD.html",
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"description": "This data set provides snowmelt timing maps (STMs), cloud interference maps, and a map with the count of calculated snowmelt timing values for North America. The STMs are based on the Moderate Resolution Imaging Spectroradiometer (MODIS) standard 8-day composite snow-cover product MOD10A2 collection 6 for the period 2001-01-01 to 2018-12-31. The STMs were created by conducting a time-series analysis of the MOD10A2 snow maps to identify the DOY of snowmelt on a per-pixel basis. Snowmelt timing (no-snow) was defined as a snow-free reading following two consecutive snow-present readings for a given 500-m pixel. The count of STM values is also reported, which represents the number of years on record in the STMs from 2001-2018.",
"license": "proprietary"
},
@@ -168670,7 +171439,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2345796019-ORNL_CLOUD.html",
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"description": "This dataset provides global gridded estimates of annual soil respiration (Rs) and soil heterotrophic respiration (Rh) and associated uncertainties at 1 km resolution. Mean soil respiration was estimated using a quantile regression forest model utilizing data from the global Soil Respiration Database Version 5 (SRDB-V5) and covariates of mean annual temperature, seasonal precipitation, and vegetative cover. The SRDB holds results of field studies of soil respiration from around the globe. A total of 4,115 records from 1,036 studies were selected from SRDB-V5. SRDB-V5 features more soil respiration data published in Russian and Chinese scientific literature for better global spatio-temporal coverage and improved global climate-space representation. These soil respiration records were combined with global meteorological, land cover, and topographic data and then evaluated with variable selection using random forests. The standard deviation and coefficient of variation of Rs are included and were also derived from the same model. Global heterotrophic respiration was calculated from Rs estimates. The data are produced in part from SRDB-V5 inputs that cover the period 1961-2016.",
"license": "proprietary"
},
@@ -168683,7 +171452,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736724942-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736724942-ORNL_CLOUD.html",
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"description": "This data set contains in-situ soil moisture profile and soil temperature data collected at 20-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites in four states (California, Arizona, Oklahoma, and Michigan) in the United States. SoilSCAPE used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data at up to 12 sites over varying durations since August 2011. At its maximum, the network consisted of over 200 wireless sensor installations (nodes), with a range of 6 to 27 nodes per site. The soil moisture sensors (EC-5 and 5-TM from Decagon Devices) were installed at three to four depths, nominally at 5, 20, and 50 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. Temperature sensors were installed at 5 cm depth at six of the sites. Data collection started in August 2011 and continues at eight sites through the present. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional (airborne, e.g. NASA's Airborne Microwave Observation of Subcanopy and Subsurface Mission - AirMOSS) and national (spaceborne, e.g. NASA's Soil Moisture Active Passive - SMAP) scales.",
"license": "proprietary"
},
@@ -168696,7 +171465,7 @@
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"description": "This dataset contains in-situ soil moisture profile and soil temperature data collected at 30-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites since 2021 in the United States and New Zealand. The SoilSCAPE network has used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data over varying durations since 2011. Since 2021, the SoilSCAPE has upgraded the two previously active sites in Arizona and added several new sites in the United States and New Zealand. These new sites typically use the METER Teros-12 soil moisture sensor. At its maximum, the new network consisted of 57 wireless sensor installations (nodes), with a range of 6 to 8 nodes per site. Each SoilSCAPE site contains multiple wireless end-devices (EDs). Each ED supports up to five soil moisture probes typically installed at 5, 10, 20, and 30 cm below the surface. Sites in Arizona have soil moisture probes installed at up to 75 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional and national (e.g. NASA's Cyclone Global Navigation Satellite System - CYGNSS and Soil Moisture Active Passive - SMAP) scales. The data are provided in NetCDF format.",
"license": "proprietary"
},
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"description": "This dataset provides gridded estimates of soil CO2 flux (g C m-2 d-1) for the winter non-growing season (NGS) across pan-Arctic and Boreal permafrost regions (>49 Deg N), at 25 km spatial resolution. The data are the daily average flux over a monthly period for two climate periods: the baseline climate period represents 2003-2018 and the future climate scenarios period represents 2018-2100 under Representative Concentration Pathways (RCP) 4.5 and 8.5. The data were produced by applying a Boosted Regression Tree machine learning approach to create gridded estimates of emissions based on in situ observations of NGS fluxes provided in a related dataset. The resulting monthly average flux data records can be used to calculate annual NGS soil CO2 flux budgets from 2003-2100.",
"license": "proprietary"
},
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"description": "This dataset includes hourly in-situ soil moisture measurements from data loggers in predominantly organic soils (very low bulk density) at two locations: 1) along the Sag River in Alaska, U.S., and 2) near Red Earth Creek in Alberta, Canada. The dataset also provides soil moisture probe periods, temperature probe readings, as well as calibration coefficients and soil profile measurements used to create per probe calibrations for derived volumetric moisture content. The Campbell Scientific CR200 data loggers used CS625 water content reflectometers and temperature probe 109. Further details to the derivation of the calibrations are provided in a supplementary document. The purpose of the dataset is to provide field measurements that can be used for calibration/validation for satellite-based soil moisture retrieval algorithms. With some interruptions, the dataset exists from July 2017 to July 2021. The data are provided in comma-separated values (CSV) format.",
"license": "proprietary"
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"description": "This data set provides estimates of above-ground woody biomass and uncertainty at 30-m spatial resolution for Sonoma County, California, USA, for the nominal year 2013. Biomass estimates, megagrams of biomass per hectare (Mg/ha), were generated using a combination of airborne LiDAR data and field plot measurements with a parametric modeling approach. The relationship between field estimated and airborne LiDAR estimated aboveground biomass density is represented as a parametric model that predicts biomass as a function of canopy cover and 50th percentile and 90th percentile LiDAR heights at a 30-m resolution. To estimate uncertainty, the biomass model was re-fit 1,000 times through a sampling of the variance-covariance matrix of the fitted parametric model. This produced 1,000 estimates of biomass per pixel. The 5th and 95th percentiles, and the standard deviation of these pixel biomass estimates, were calculated.",
"license": "proprietary"
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"description": "This data set reports concentrations of biogenic volatile organic compounds (BVOCs) collected from tethered balloon-sampling platforms above selected forest and pasture sites in the Brazilian Amazon in March 1998, February 1999, and February 2000. The air samples were collected from forested sites in Brazil: the Tapajos forest (Para) in the Tapajos/Xingu moist forest; Balbina (Amazonas) in the Uatuma moist forest; and Jaru (Rondonia) in the Purus/Madeira moist forest. Two other sites were also located in Rondonia: at a forest reserve (Rebio Jaru) and a pasture (Fazenda Nossa Senhora Aparecida). The BVOCs measured included isoprene, alpha and beta pinene, camphene, sabinene, myrcene, limonene, and other monoterpenes. Approximately 24 to 40 soundings, including as many as four VOC samples collected simultaneously at various altitudes, were made at each site. There is one comma-delimited data file with this data set.",
"license": "proprietary"
},
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"description": "This data set includes aerosol optical thickness measurements from the CIMEL sunphotometer for 22 sites in Brazil during the period from 1993-2005. The AERONET (AErosol RObotic NETwork) program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of aerosol optical properties. The network imposes standardization of instruments, calibration, and processing. Data from this collaboration provides globally distributed observations of spectral aerosol optical depths, inversion products, and precipitable water in geographically diverse aerosol regimes. Three levels of data are available from the AERONET website: Level 1.0 (unscreened), Level 1.5 (cloud-screened), and Level 2.0 (cloud-screened and quality-assured). Data provided here are Level 2.0. There are 22 comma-delimited data files with this data set and one companion text file which contains the latitude, longitude, and elevation of the 22 sites.",
"license": "proprietary"
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"description": "This data set includes solar surface irradiance from Kipp and Zonen CM-21 pyranometers, both total unfiltered and filtered (RG695), and photosynthetically active radiation (PAR) from Skye-Probetech SKE-510 PAR sensors. Measurements were made at six sites acrosss the Brazilian Amazon during the period from 1999 to 2004. These sites were co-located with AERONET (AErosol RObotic NETwork) program sites. There are 17 comma-delimited data files (.csv) with this data set. The AERONET program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of those properties. The network imposes standardization of instruments, calibration, and processing. ",
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"description": "This data set provides maps produced from model output data from the National Aeronautics and Space Administration-Carnegie Ames Stanford Approach (NASA-CASA) model and other modeling approaches. The maps include estimated annual Net Primary Production (ANPP), leaf (live) biomass carbon, wood (live) biomass carbon, fine root (live) biomass carbon, metabolic leaf litter (dead) carbon, structural leaf litter (dead) carbon, woody detritus (dead) carbon, and slow soil carbon, gridded at half-degree spatial resolution for the years 1982-1998, and 2001 (NPP data) for Brazil. Maps are provided at one-degree resolution for monthly soil emissions and soil uptake of N2O, NO, CO, and CH4. In addition, there are maps in 8-km resolution for soil texture, soil carbon, soil pH, soil maximum plant available water (paw), and net primary productivity (NPP).There are three files with this data set in tar.gz format. The files are in half-degree, one-degree, and 8-km resolution. When expanded, the half degree and one degree files contain 83 map files in GeoTIFF (.tif) format. The third file (8-km resolution) contains the soil and productivity maps. When expanded, this file contains 22 files in GeoTIFF (.tif) format.",
"license": "proprietary"
},
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"description": "This data set contains measurements of atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), hydrogen (H2), nitrous oxide (N2O), and sulfur hexafluoride (SF6) collected from December 2000-November 2005 as vertical profiles above three sites in Brazil: Fortaleza, Santarem, and Manaus. At Santarem, ascending profiles were made above the Tapajos National Forest, near the km 67 Tower Site. At Manaus, ascending profiles were made above the K34 flux tower (aka, ZF2 km 34 tower) to the northwest of the city of Manaus. Descending profiles were flown nearby, but at locations upwind of population centers to avoid possible pollution. Fortaleza samples were collected off the coast, over the Atlantic Ocean to sample background air before it flows over the Amazon Basin.Air samples were collected as discrete samples aboard light aircraft and shipped to laboratories for analysis relative to internationally accepted calibration standards.There are three comma-delimited (.csv) data files with this data set.",
"license": "proprietary"
},
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"description": "Measurements of the soil-atmosphere flux of CO2 were made at the km 67 flux tower site in the Tapajos National Forest, Santarem, Para, Brazil. Eight chambers were set up to measure trace gas exchange between the soil and atmosphere about 5 times a day (during daylight and night) at this undisturbed forest site from April 2001 to April 2003. CO2 soil efflux data are reported in one ASCII comma separated file.The automated chamber system consisted of 8 automatically opening and closing aluminum chambers with an infrared gas analyzer. The chambers were installed in a 0.5 ha area close to the flux tower on patches of ground without apparent photosynthetic vegetation. Each chamber was sequentially closed, sampled, and re-opened 5 times per day (closed 7% of the day). The maximum daily average flux was 4.3 and the minimum was 1.3 umol CO2 m-2 s-1.",
"license": "proprietary"
},
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"description": "Canopy measurements in an undisturbed eastern Amazon forest (Cauxi, Para, Brazil. See Figure 1) were derived from a one-time event in 2000 using a hand-held laser range finder, and diameter at breast height (DBH) was determined manually. Parameters reported include: Crown Width, Crown Depth, Tree Height, and DBH. There is one comma-delimited ASCII data file with this data set. In addition, these manually derived measurements were compared to the IKONOS satellite data of crown dimensions that were acquired on 2 November 2000, from an orbital altitude of 680 km. The data from a 600 x 600 m block of undisturbed forest, including the 50 ha area surveyed in the field, were analyzed in a combined image processing and geographic information system environment.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products. KNOWN PROBLEMS: Only the general location for this study was identified -- Cauaxi, Para, Brazil. The tree measurement data are of limited use because coordinates for the study site, coordinates of the beginning and end of the transects, and coordinates of the measured trees were not provided. Also, the area that the IKONOS image captured was not provided and the IKONOS image is not available due to restricted distribution.",
"license": "proprietary"
},
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"description": "A field inventory of trees was conducted in March of 1997 in a logging concession at the Tapajos National Forest, south of Santarem, Para, Brazil. The inventory was conducted by the foresters and technicians of the Tropical Forest Foundation (FFT) and included all trees with diameter at breast height greater than or equal to 35 cm. Four blocks of approximately 100 ha each within the 3,200 ha concession were inventoried. Within each block, parallel trails 50 m apart were established, and the location of each tree measured was recorded to the nearest meter using an orthogonal coordinate system based on these trails. Field data for each tree includes: identification number, ground position, diameter, common name, scientific name and qualitative estimates of bole and canopy quality. Data are provided in one ASCII comma separated file. These data were used to calculate above-ground live biomass as described in Keller et al. (2001), but biomass data are not included in this data set.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777830142-ORNL_CLOUD.html",
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"description": "This data set reports the characterization of fallen necromass as the volume and density of coarse woody debris (CWD), and standing necromass as the volume and density of standing dead trees. Measurements were made in undisturbed and logged forest areas of the Tapajos National Forest, and Cauaxi Forest, Para, Brazil, and Juruena Forest, Mato Grosso, Brazil from 2002-2004. Fallen and standing necromass were classified into one of five categories according to its state of decomposition. There are two comma-delimited ASCII data files with this data set: two files contain the sampling information, decomposition state, and DBH measurements. There are also two files provided as companion data files which provide sampling transect descriptions. ",
"license": "proprietary"
},
@@ -170087,7 +172856,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777750382-ORNL_CLOUD.html",
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"description": "The goal of this study was to determine the effects of soil phosphorus (P) status on litter decomposition rates using two factors: soil texture (with associated differences in soil P pools) and fertilization, in a fully factorial design. Mass and nutrient pools in litter from a single species, Marupa (Simaruba amara (Aubl.)), were measured quarterly between March 2000 and February 2001 in an undisturbed mature forest within the Tapajos National Forest at the kilometer 83 site. Reported here are litter mass and nutrients (carbon, nitrogen and phosphorus) as both raw values (grams for mass, percent for carbon and nitrogen and mg per kg for phosphorus), and as proportion of the initial mass and nutrient pool. Data are provided in a comma separated ASCII format.",
"license": "proprietary"
},
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"description": "Trace gas fluxes of carbon dioxide, methane, nitrous oxide, and nitric oxide (CO2, CH4, N2O, and NO) from surface soil were measured manually in an undisturbed forest at the Tapajos National Forest Seca-Floresta Site, which is within the footprint of the km 67 eddy flux tower. Measurements were made in January 2000 through April 2004, approximately twice per month. On each sampling date, up to four sets of 30-m lines were established off the existing transects at the Seca-Floresta site. Along each line eight chambers were installed for gas collection. In addition soil samples were collected for analysis of soil moisture as water-filled pore space (WFPS). There is one comma-delimited ASCII file with this data set.",
"license": "proprietary"
},
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"description": "This data set reports the results of an experiment that tested the short-term effects of root mortality on the soil-atmosphere fluxes of nitrous oxide, nitric oxide, methane, and carbon dioxide in a tropical evergreen forest. Weekly trace gas fluxes are provided for treatment and control plots on sand and clay tropical forest soils in two comma separated ASCII files.The study site in the Tapajos National Forest (TNF) is near km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year. Monthly data are not included at this time.",
"license": "proprietary"
},
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"description": "This data set reports measurements of trace gas fluxes of methane (CH4), nitric oxide (N2O), nitrous oxide (NO), carbon dioxide (CO2) from soils at a study site in the Tapajos National Forest (TNF), near the km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Data for root mass and carbon content, soil nitrogen (N), nitrification, and moisture content are also provided. There are five comma-delimited data files with this data set.The research was conducted to test the effects of root mortality on the soil-atmosphere trace-gas fluxes over the course of one year. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year.Note: The related data set LBA-ECO TG-07 Soil Trace Gas Flux and Root Mortality, Tapajos National Forest contains the same flux data that were measured weekly for ten weeks following the trenching treatment. This data set also provides the monthly data for the remainder of the year. ",
"license": "proprietary"
},
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"description": "This data set provides the results of a GLAS (the Geoscience Laser Altimeter System) forest structure validation survey conducted in Santarem and Sao Jorge, Para during November 2004 (Lefsky et al., 2005). DBH, total height, commercial height, canopy width and canopy class description were measured for 11 primary forest sites in Santarem along two 75m transects per GLAS measurement. For 10 secondary forest sites in Sao Jorge, the number of stems 0-2cm, 2-5cm, 5-10cm, and greater than 10cm were measured. For all stems greater than 10cm the DBH was measured, and for all sites, the maximum height was recorded. The basal area was calculated for all trees with DBH greater than 10cm within our transects, and biomass was calculated using the Brown, 1997 formula.Exchange of carbon between forests and the atmosphere is a vital component of the global carbon cycle. Satellite laser altimetry has a unique capability for estimating forest canopy height, which has a direct and increasingly well understood relationship to aboveground carbon storage.",
"license": "proprietary"
},
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"description": "Trace gas fluxes of carbon dioxide, methane, nitrous oxide, and nitric oxide were measured manually at undisturbed and logged forest sites in the Tapajos National Forest, near Santarem, Para, Brazil. Manual measurements were made approximately weekly at both the undisturbed and logged sites. Fluxes from clay and sand soils were completed at the undisturbed sites. Fluxes were measured at the deck (patio), skid trail, clearing and forest at the logged sites. Soil moisture is reported as daily average water-filled pore space (WFPS) for the undisturbed forest clay and sand soils. Data are reported in three ASCII comma separated files.",
"license": "proprietary"
},
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"description": "This data set reports phosphorus (P), carbon (C), and nitrogen (N) nutrient pool concentrations for forest soils and roots and P pool concentrations for forest floor litter, soil solutions, and microbial extracts. Soils samples were also extracted using the Hedley sequential fractionation method and the extracts analyzed for P. Nutrient pool concentrations are presented on an areal basis of 1 hectare to a depth of 10 cm, as calculated from soil bulk densities and respective pool biomass quantities. There is one comma-delimited ASCII file with this data set. These measurements were made during a soil P addition fertilization experiment conducted at the km 83 site, Tapajos National Forest, Para, Brazil. Control and fertilized plots were established in both sandy loam and clay soils. Soil cores were collected every 4 months from August 1999 through April 2000 (McGroddy et al. 2008). ",
"license": "proprietary"
},
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"description": "This data set provides concentrations of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) from air samples collected at several heights on towers at three locations in upland old growth forests in the Brazilian Amazon during the wet and dry seasons of 2004 and 2005. Towers are located in the Caxiuana National Forest, in the state of Amazonas; the Manaus, Para, site in the Cuieiras Reserve; and the Sinop site, located north of that city in the state of Mato Grosso. Two sampling campaigns were conducted at each location. Samples were collected from each height 3-5 times on several nights and at least once during well-mixed daytime conditions during each campaign for a total of 75 profiles on 19 dates. There is one comma-delimited ASCII file with this data set. ",
"license": "proprietary"
},
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"description": "This data set provides nitric oxide (NO), nitrous oxide (N2O), carbon dioxide (CO2) flux measurements, nitrogen (N) and phosphorus (P) pools, net N mineralization and nitrification rates, and measurements of soil moisture, in response to nitrogen and phosphorus soil fertilization treatments. The research was conducted in a mature moist tropical forest and an 11-year pasture at Nova Vida in Rondonia, in the Brazilian Amazon, in 1998 and 1999. There is one comma-delimited ASCII data file with this data set.",
"license": "proprietary"
},
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"description": "This data set includes the results of measurements of the soil gas fluxes of nitric oxide (NO), nitrous oxide (N2O), and carbon dioxide (CO2), soil moisture, soil temperature, and soil pools of ammonium and nitrate in response to a simulated rain event. Study sites were soils in mature forests and pastures of two ages (11 and 26 yrs old). The study took place during the dry season in August 1998 at Fazenda Nova Vida, Rondonia in the Brazilian Amazon. There is one comma-delimited ASCII file with this data set. This study investigated how changes in soil moisture (i.e., rains at the end of the dry season) affected the fluxes of NO, N20 and CO2 from forest and pasture soils in the southwestern Brazilian Amazon (Garcia-Montiel, et al., 2003). The main objectives were to measure the short-term dynamics of soil emissions of NO, N20, and CO2 in forest and pasture soils associated with soil wetting after prolonged dryness; and quantify the contribution of the pulses of N oxide fluxes resulting from soil wetting to dry season and annual fluxes. ",
"license": "proprietary"
},
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"description": "This data set reports the results of carbon, nitrogen, and oxygen isotopic analyses of soil, soil water, and N2O soil gas samples; total soil carbon and nitrogen concentrations; and soil texture and bulk density. Samples were collected from the km 83 Logged Forest Tower Site and the km 67 Seca-Floresta Site in the Tapajos National Forest (TNF) near Santarem, Para, Brazil. Soil samples were collected in July of 2000 and soil gas samples were collected in 2001 and 2002. Soil and gas samples were collected from various soil types at each site and from several depths in specially constructed pits. There is one comma-delimited ASCII data file with this data set. ",
"license": "proprietary"
},
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"description": "This data set provides derived emission factors (EFs), reported in grams of compound emitted per kilogram of dry fuel (g/kg), for PM10 (particulate matter up to 10 micrometers in size), O3, CO2, CO, NO, NO2, HONO, HCN, NH3, OCS, DMS, CH4, and up to 48 non-methane organic compounds (NMOC) from the Tropical Forest and Fire Emissions Experiment (TROFFEE). TROFFEE used laboratory measurements followed by airborne and ground based field campaigns in Mato Grosso, Para, and Amazonas, Brazil during the 2004 Amazon dry season to quantify the emissions from pristine tropical forest and several plantations as well as the emissions, fuel consumption, and fire ecology of tropical deforestation fires. EFs were determined for 19 tropical deforestation fires in August and September, 2004. The combined output of these fires created a massive megaplume more than 500-km wide and covered a large area in Brazil, Bolivia, and Paraguay for about one month. For the megaplume, the EFs (reported in grams of compound emitted per kilogram of dry fuel (g/kg)) represented the effective emissions factor measured downwind from the source.There are two comma-delimited data files (.csv) and one text file (.txt) with this data set. The text file contains information regarding the fuel/fire sources, latitude and longitudes (also provided in the data files).",
"license": "proprietary"
},
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"description": "Measurements made in the Gulf of Thailand and the Andaman Sea in 2003.",
"license": "proprietary"
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"description": "This dataset contains point clouds of three-dimensional (3D) mangrove forest structure and volume collected from 10 sites in Everglades National Park, Florida. Data were collected during NASA CMS \"Blueflux\" campaigns in March 2022, October 2022, and March 2023. Products were acquired using a RIEGL VZ-400i terrestrial laser scanner (TLS). TLS is a non-destructive and quantitative method for in situ 3D forest structure measuring and monitoring. Data are provided in LAS (*.las) format.",
"license": "proprietary"
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"description": "Daily Aerosol Index (AI) data from Earth Probe (EP) Total Ozone Mapping Spectrometer (TOMS) for the period of August 12-September 25, 2000 were processed and provided by the Atmospheric Chemistry and Dynamics Branch at NASA/GSFC for the SAFARI 2000 Dry Season Aircraft Campaign.The TOMS AI is formed directly from measured TOMS radiances in two channels. It is a measure of how much the wavelength dependence of backscattered UV radiation from an atmosphere containing aerosols (Mie scattering, Rayleigh scattering, and absorption) differs from that of a pure molecular atmosphere (pure Rayleigh scattering). Quantitatively, the AI is defined at http://toms.gsfc.nasa.gov/aerosols/AI_definition/ai_ep_definition.pdf. Positive values represent absorbing aerosols (dust and smoke); negative values represent non-absorbing aerosols. The identification is not perfect because of geophysical reasons (e.g., when aerosols are too low to the ground).The data from TOMS records have been used increasingly to understand the behavior of aerosols within the atmosphere. The TOMS is the first instrument to allow observation of aerosols as the particles cross the land/sea boundary. Using these data it is possible to observe a wide range of phenomena such as desert dust storms, forest fires, and biomass burning.The TOMS AI data are a daily gridded Level-3 product (ASCII .dat format) that covers the area of 40 deg. S to the Equator and 40 deg. W to 80 deg. E. There is also a JPEG image of each data file.",
"license": "proprietary"
},
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"description": "Tropical Tropospheric Ozone (TTO) data from Earth Probe (EP) Total Ozone Mapping Spectrometer (TOMS) for the period of August 8-September 29, 2000 were processed and provided by the Atmospheric Chemistry and Dynamics Branch at NASA/GSFC for the SAFARI 2000 Dry Season Aircraft Campaign.The TTO measurement is derived from TOMS total ozone (Thompson and Hudson, 1999; Thompson et al., 2001) using the modified-residual method to separate stratospheric ozone from tropospheric ozone. The tropospheric ozone column thickness is reported in Dobson Units (DU).EP TOMS is currently the only NASA spacecraft on orbit specializing in ozone retrieval. EP TOMS was launched in 1996 into an orbit 500 km rather than the 950 km that was originally planned. The Earth Probe satellite was boosted to 740 km in 1997 when the ADEOS satellite failed. The lower orbit of EP TOMS decreased the size of the footprint of each measurement, which increased the resolution and also increased the ability to make measurements over cloudless scenes. This orbit was chosen to improve the ability of the TOMS instrument to make measurements of UV-absorbing aerosols in the troposphere and enhanced the capability of converting the TOMS aerosol measurements into geophysical quantities such as optical depth. Tropospheric aerosols play a major role in the Earth's climate and the capability to measure them from a TOMS instrument had recently been developed using data from Nimbus-7 and Meteor-3 TOMS.The TOMS Tropospheric Ozone data are 9-day averaged, gridded (1-degree by 2-degree) ASCII products. There is also a GIF image of each data file. ",
"license": "proprietary"
},
@@ -173077,7 +175846,7 @@
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"license": "proprietary"
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"description": "Over the past decades, the proliferation of plastics has rapidly become a global problem affecting all oceans. With 80% of plastics in the sea originating from land, this pollution highlights the interactions between our daily lives and the ocean, and reinforces the need for a transition to an economy that is more respectful of the planet. During the Tara Mediterranean expedition in 2014, the schooner crisscrossed the Mare nostrum to study the interaction of plastics with plankton, and biodiversity in general. First edifying observation: of the 2000 samples taken during the expedition from 350 different sites, all contained plastic fragments.",
"license": "proprietary"
},
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"description": "Tara Oceans Polar Circle 2013",
"license": "proprietary"
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"description": "The Tara Oceans expedition, a 2.5-year long and 57,000 mile long trajectory, was conceived to provide a snapshot of the distribution of planktonic organisms in the world ocean, providing 'A global-scale study of morphological, genetic, and functional biodiversity of plankton organisms in relation to the changing physico-chemical parameters of the oceans' (Karsenti et al., 2011). The expedition took place from September 2009 to March 2012, spanned the majority of the world's oceans, and included, besides a large array of biological sampling, hydrographic measurements, optical measurements of surface hyper-spectral particulate absorption and attenuation, hyper-spectral reflectance and HPLC pigments.E. Karsenti, S.G. Acinas, P. Bork, C. Bowler, C. De Vargas, J. Raes, and 22 co-authors, A holistic approach to marine eco-systems biology, PLoS Biol. 9, e1001177, (2011), doi:10.1371/journal.pbio.1001177.",
"license": "proprietary"
},
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"description": "The NASA_3Rivers_NNX11AF22G cruise consisted of watershed sampling of the Kennebec, Androscoggin, St. John Rivers in Maine, USA and New Brunswick, Canada. Water samples were collected from a nominal depth of 0.5 m and then processed as described by the accompanying documentation. Each station was visited monthly from early spring, as soon as accessible, to late fall, November. Stations were accessed by land and samples were collected by foot in the deepest water available, usually 1 to 1.5 meters in depth.",
"license": "proprietary"
},
@@ -177588,7 +180357,7 @@
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"description": "This dataset provides 30m resolution maps of the fraction of green vegetation within tidal marshes for six estuarine regions of the conterminous United States: Cape Cod, MA; Chesapeake Bay, MD; Everglades, FL; Mississippi Delta, LA; San Francisco Bay, CA; and Puget Sound, WA. Maps were derived from a 1m classification of 2013 to 2015 National Agriculture Imagery Program (NAIP) images as tidal marsh green vegetation, non-vegetation, and open water. Using this high-resolution map, the percent of each class within Landsat pixel extents was calculated to produce a 30m fraction of green vegetation map for each region.",
"license": "proprietary"
},
@@ -177601,7 +180370,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517345906-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517345906-ORNL_CLOUD.html",
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"description": "This dataset provides a synthesis of soil organic carbon (SOC) estimates and a variety of other environmental information from tidal wetlands within estuaries in the conterminous United States for the period 1972-2015. The data were compiled from several existing data resources and include the following: soil organic carbon stock estimates, the proportion of the catchment area containing the wetlands that is barren, tidal wetland area, nontidal wetland land, open water, saltwater zone, mixed zone, agricultural, urban, forest, and wetland areas, land elevation, ocean salinity, sea surface temperature, ocean dissolved inorganic phosphorus, estuary latitude, longitude, depth, perimeter, salinity, and estuary volume, river flow, carbon, nitrogen, and phosphorus river flux, sediment organic carbon content, windspeed, mean temperature, daily and mean precipitation, frost days, and the population within each catchment. Estuaries were also classified to one of six typological categories. Coastal locations were determined by natural environmental and political divisions within the US. The data were used to investigate how tidal wetland soil organic carbon density is distributed across the continental US among various coastal locations, estuarine typologies, vegetation types, water regimes, and management regimes, and to identify whether SOC density is correlated with different environmental variables. The analytical results are not included with this dataset.",
"license": "proprietary"
},
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"description": "This dataset provides mapped tidal wetland gross primary production (GPP) estimates (g C/m2/day) derived from multiple wetland types at 250-m resolution across the conterminous United States at 16-day intervals from March 5, 2000, through November 17, 2019. GPP was derived with the spatially explicit Blue Carbon (BC) model, which combined tidal wetland cover and field-based eddy covariance (EC) tower GPP data into a single Bayesian framework along with Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) datasets. Tidal wetlands are a critical component of global climate regulation. Tidal wetland-based carbon, or \"blue carbon,\" is a valued resource that is increasingly important for restoration and conservation purposes.",
"license": "proprietary"
},
@@ -177627,7 +180396,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389101861-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389101861-ORNL_CLOUD.html",
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"description": "This dataset provides modeled estimates of soil carbon stocks for tidal wetland areas of the Conterminous United States (CONUS) for the period 2006-2010. Wetland areas were determined using both 2006-2010 Coastal Change Analysis Program (C-CAP) raster maps and the National Wetlands Inventory (NWI) vector data. All 30 x 30-meter C-CAP pixels were extracted that are coded as estuarine emergent, scrub/shrub, or forested in either 2006 or 2010. A soil database for model fitting and validation was compiled from 49 different studies with spatially explicit empirical depth profile data and associated metadata, totaling 1,959 soil cores from 18 of the 22 coastal states. Reported estimates of carbon stocks were derived with modeling approaches that included (1) applying a single average carbon stock value from the compiled soil core data, (2) applying models fit using the empirical data and applied spatially using soil, vegetation and salinity maps, (3) relying on independently generated soil carbon maps from The United States Department of Agriculture (USDA)'s Soil Survey Geographic Database (SSURGO), and the NWI that intersected with mapped tidal wetlands, and (4) using a version of SSURGO bias-corrected for bulk density. Comparisons of uncertainty, precision, and accuracy among these four approaches are also provided.",
"license": "proprietary"
},
@@ -177640,7 +180409,7 @@
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"description": "This dataset contains model predictions of soil erosion and soil organic carbon (SOC) redistribution caused by agricultural practices such as tillage erosion. Soil erosion diminishes agricultural productivity by driving the loss of SOC. This model addresses a growing need to predict soil organic carbon transport, loss, and deposition. The model was applied to three sites containing paired prairie grassland and field plots in Iowa, and predicts SOC redistribution between 1859 to 2019. The model was developed by incorporating a SOC mixing model with a landscape evolution model that simulates tillage erosion.",
"license": "proprietary"
},
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"description": "Measurements taken in the Tokyo Bay between 1982 and 1984.",
"license": "proprietary"
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"description": "This data set provides the spatial distributions of vegetation types, soil carbon, and physiographic features in the Toolik Lake area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864353-ORNL_CLOUD.html",
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"description": "This dataset provides estimates of topsoil loss and economic loss associated with decreased crop productivity resulting from topsoil loss at county- and state-levels across the Corn Belt region of the Midwestern USA. Intermediate products used to derive topsoil loss are provided and include 4 m gridded estimates of study sites elevation, curvature, slope, soil organic carbon index (SOCI), and the probability of exposed B-horizon soil. Topsoil loss at the county- and state-levels was derived from analyses of agricultural land at selected sites across the study area. From WorldView imagery, 759 fields were identified that had exposed bare soil (210 km2) and were grouped into 28 sites. Gridded estimates of the SOCI and of the probability of exposed B-horizon soil were determined for each field within the sites. Topography measures, including elevation (m), curvature (m-1), and slope (deg), were extracted over the entire study area from LiDAR-derived digital elevation models at a 4 m resolution acquired from 2003-2018. Within each of the 28 study sites, the SOCI and topographic curvature values were extracted from co-located pixels. Topsoil loss was estimated from the relationship between subsoil exposure and topography and averaged across each site.The relationship between topsoil loss and topographic curvature was used to up-scale and predict topsoil and economic losses at the county and state-levels across the entire 375,000 km2 study area. The data have been used to demonstrate a robust and scalable method for estimating the magnitude of erosion in agricultural landscapes.",
"license": "proprietary"
},
@@ -177705,7 +180474,7 @@
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"description": "This dataset includes daily averaged solar-induced chlorophyll fluorescence (SIF) in the red (680-686 nm) and far-red (745-758 nm) wavelength ranges, relative SIF (SIF/Intensity), chlorophyll-carotenoid index (CCI), photochemical reflectance index (PRI), near-infrared vegetation index (NIRv), and normalized difference vegetation index (NDVI) for both black spruce (Picea mariana) and larch (Larix laricina) targets. The study site (Southern Old Black Spruce, SOBS Fluxnet ID CA-Obs) is located near the southern limit of the boreal forest ecotone in Saskatchewan, Canada. Data were collected for the spring transition in both 2019 and 2020 using PhotoSpec. Species-specific averages were calculated over each 30-minute period, then averaged again to report daily averages of SIF relative and reflectance measurements for both black spruce and larch.",
"license": "proprietary"
},
@@ -177718,7 +180487,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2612824717-ORNL_CLOUD.html",
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"description": "The data set provides multi-year (2016-2018) percent tree cover (TC) estimates for entire Mexico at 30 m spatial resolution. The TC data (hereafter, NEX-TC) was derived from the 30 m Landsat Collection 1 product and a hierarchical deep learning approach (U-Net) developed in a previous CMS effort for the conterminous United States (CONUS) (Park et al., 2022). The hierarchical U-Net framework first developed a U-Net model for very high-resolution aerial images (NAIP) using training labels derived from previous work based on an interactive image segmentation tool and iterative updates with expert knowledge (Basu et al., 2015). The developed NAIP U-Net model and NAIP data produced 1-m NAIP TC across all lower 48 CONUS states. A Landsat U-Net model was developed for multi-year and large-scale TC mapping based on the very high-resolution NAIP TC made in the earlier stage. The Landsat U-Net model developed was adopted over the CONUS for testing its transferability, validation, and improvement across Mexico. This dataset provides national-scale percent tree cover estimates over Mexico and can be helpful for studies of carbon cycling, land cover and land use change, etc. The team has been working on improving temporal stability of the product and will update the product once the next version is ready to be shared.",
"license": "proprietary"
},
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"description": "This dataset provides annual estimates of tree mortality due to fires and bark beetles from 2003 to 2012 on forestland in the continental western United States. Tree mortality was estimated at 1-km spatial resolution by combining tree aboveground carbon (AGC) and disturbance datasets derived largely from remote sensing. Tree mortality is expressed as the amount of AGC stored in trees killed by disturbance (Mg carbon per km2). The dataset also includes annual uncertainty maps that were generated using a Monte Carlo approach in which tree biomass, biomass carbon content, and disturbance severity were iteratively varied by their uncertainty.",
"license": "proprietary"
},
@@ -177770,7 +180539,7 @@
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"description": "This dataset provides visible-near infrared spectral reflectance, descriptions of vegetation cover, surface temperature, the total fraction of absorbed photosynthetically active radiation (fAPAR, 2001 only), permafrost active layer depth, elevation, and soil temperature at 5 cm depth. Measurements were made at every meter along a 100-m transect aligned mainly in an east-west direction, located approximately 300 m southeast of the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML) baseline observatory near Utqiagvik, Alaska. Reflectance measurements were collected at nearly weekly intervals through the growing seasons of 2000 to 2002 to describe characteristics of green-up, peak growth, and senescence. Reflectance measurements were also collected once near peak growth in 2022. Ancillary measurements were collected at intervals through the 2001 and 2002 growing seasons.",
"license": "proprietary"
},
@@ -177783,7 +180552,7 @@
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"description": "This dataset provides measurements at tundra plots collected near Utqiagvik and Atqasuk, AK, including visible-near infrared spectral reflectance, chamber gas exchange measurements of CO2, pulse amplitude modulated (PAM) fluorometry, chlorophyll pigment contents, along with surface temperature, permafrost active layer depth, and soil temperature at 5 cm, through the growing seasons of 2001 and 2002. At all plots, spectral reflectance was measured using a portable spectrometer configured with a straight fiber optic foreoptic, surface temperatures were measured using a handheld Everest Infrared Thermometer, and thaw depth (or active layer depth) was measured using a metal rod graduated in centimeter intervals. At small plots (~15 cm) at Utqiagvik (referred to as Patch plots) chambers were constructed that enclosed an individual patch to determine photosynthetic rate and estimate respiration rate (made by covering the chamber in a dark cloth). Efficiency using PAM fluorometer, ambient yield estimations, and rapid light curve measurements were taken. Chlorophyll concentration was measured with a portable spectrometer configured as a spectrophotometer. At larger plots (approximately 1 m2) which were part of the International Tundra EXperiment (ITEX plots) at Utqiagvik (referred to as Barrow) and Atqasuk, a sub-sample of five control and five warmed plots at each site were fitted with 0.45 m diameter polyvinyl chloride collars for chamber flux measurements. To determine the total fraction of absorbed photosynthetically active radiation (fAPAR), a series of photosynthetically active radiation (PAR) measurements were made using a custom-made light bar consisting of a linear array of GaAsP sensors mounted within an aluminum U-bar under a white plastic diffuser. In addition, a visual estimate was made of the fraction of standing dead vegetation based on percent cover. The data are provided in comma-separated values (*.csv) format. In addition, photographs of plots and instruments are provided.",
"license": "proprietary"
},
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"license": "proprietary"
},
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
},
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"description": "This dataset provides maps of coastal wetland carbon and methane fluxes and coastal wetland surface elevation from 2006 to 2011 at 30 m resolution for coastal wetlands of the conterminous United States. Total coastal wetland carbon flux per year per pixel was calculated by combining maps of wetland type and change with soil, biomass, and methane flux data from a literature review. Uncertainty in carbon flux was estimated from 10,000 iterations of a Monte Carlo analysis. In addition to the uncertainty analysis, this dataset also provides a probabilistic map of the extent of tidal elevation, as well as the geospatial files used to create that surface, and a land cover and land cover change map of the coastal zone from 2006 to 2011 with accompanying estimated median soil, biomass, methane, and total CO2 equivalent annual fluxes, each with reported 95% confidence intervals, at 30 m resolution. Land cover was quantified using the Coastal Change Analysis Program (C-CAP), a Landsat-based land cover mapping product.",
"license": "proprietary"
},
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"description": "This dataset provides measurements of vegetation biomass from 11 locations across Alaska during 2016 to 2018. Vegetation was harvested from plots that were located at the end of previously established 30-m transects at each site, except at one site where plots were randomly selected. Vascular vegetation was clipped from 50 cm x 50 cm plots, and non-vascular vegetation was clipped from 25 cm x 25 cm plots. All harvested vegetation was sorted by functional group or by species where identification was possible. The sorted vegetation was dried and then weighed to determine biomass. Locations were selected to investigate fire disturbance, to span the range of permafrost regions from continuous to sporadic, and to cover vegetation types from boreal forests, tussock tundra, upland willow/herbaceous scrub, and lowland fen and wet tundra sites across Alaska. The data are provided in comma separated values (CSV) format.",
"license": "proprietary"
},
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"description": "The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).",
"license": "proprietary"
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"description": "The Visible and Infrared Imager/Radiometer Suite (VIIRS) Geolocation (GEO) Products are data containing terrain corrected solar zenith and azimuth angles, satellite zenith and azimuth angles, as well as latitudes and longitudes for each VIIRS grid point for each of the three VIIRS resolutions. (375m, 750m, and DNB).",
"license": "proprietary"
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"description": "The VIIRS Geolocation Onboard Calibrator (OBC)-IP file contains solar diffuser observations, the associated gain state and HAM side information, and all engineering and housekeeping data, including unscaled data from the Solar Diffuser Stability Monitor (SDSM)/VIIRS Earth View Radiometric Calibration Unit and the Solar Diffuser GEO angles.",
"license": "proprietary"
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"description": "This data set reports snow cover using radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (NPP) satellite. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of quality control screens.",
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"license": "proprietary"
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"license": "proprietary"
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"description": "This dataset contains 731 ground-based nadir vegetation community and ground surface photographs of selected field plots taken as ground reference data for vegetation classification studies at three areas near Toolik Lake, Alaska during the summers of 2014 and 2015. The largest area, 'Toolik', (approximately 6 km2) covers research areas near Toolik Field Station at Toolik Lake, including Arctic LTER installations. The other two areas are each roughly 3 km2: the 'Pipeline' area: a stretch of the Trans-Alaska Pipeline, and the 'Imnavait' area: along Imnavait Creek roughly 10 km east of Toolik Lake.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2482184416-ORNL_CLOUD.html",
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"description": "This dataset contains estimates of tree canopy cover presence at high resolution (0.5m) across the state of Vermont for 2016 in Cloud-Optimized GeoTIFF (*.tif) format. Tree canopy was derived from 2016 high-resolution remotely sensed data as part of the Vermont High-Resolution Land Cover mapping project. Object-based image analysis techniques (OBIA) were employed to extract potential tree canopy and trees using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3000 and all observable errors were corrected. Tree canopy assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establish tree canopy goals.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517350332-ORNL_CLOUD.html",
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"description": "The Vulcan version 3.0 annual dataset provides estimates of annual carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the State of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Data are gridded annually on a 1-km grid for the years 2010 to 2015. These data are annual sums of hourly estimates. Also provided are estimates of the upper 95% confidence interval and the lower 95% confidence interval boundaries for each emission estimate. For each uncertainty level, there are 10 individual sector files and one total file. These data are designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications.",
"license": "proprietary"
},
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"description": "The Vulcan version 3.0 hourly dataset quantifies hourly emissions at a 1-km resolution for the 2010-2015 time period. Estimates are provided of hourly carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the state of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Files for hourly total emissions are also available. Data are represented in space on a 1 km x 1 km grid as hourly totals for 2010-2015. This dataset provides the first bottom-up U.S.-wide FFCO2 emissions data product at 1 km2/hourly for multiple years and is designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360697-OB_DAAC.html",
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"description": "Sea spray aerosol (SSA) impacts the Earth\u2019s radiation budget indirectly by altering cloud properties including albedo, lifetime, and extent, and directly by scattering solar radiation. Characterization of the properties of SSA in its freshly emitted state is needed for accurate model calculations of climate impacts. In addition, simultaneous measurements of surface seawater are required to assess the impact of ocean properties on sea spray aerosol and to develop accurate parameterizations of the SSA number production flux for use in regional and global scale models.Sea spray aerosol (SSA) impacts the Earth\u2019s radiation budget indirectly by altering cloud properties including albedo, lifetime, and extent, and directly by scattering solar radiation. Characterization of the properties of SSA in its freshly emitted state is needed for accurate model calculations of climate impacts. In addition, simultaneous measurements of surface seawater are required to assess the impact of ocean properties on sea spray aerosol and to develop accurate parameterizations of the SSA number production flux for use in regional and global scale models.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764722720-ORNL_CLOUD.html",
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"description": "The WAVeTrends dataset is a 0.05 degree (5.55 km) vegetation change product, spanning the West African Sudano-Sahel region. It provides pixel-wise information on concurrent woody and herbaceous vegetation trends over a 32-year period (1982-2013). Change in woody vegetation was derived using long-term rain use efficiency (RUE) sensitivity, i.e., the per-pixel comparison of the difference of mean RUE between the first and last decades of the 32-year time series. Herbaceous vegetation change was defined by short-term RUE sensitivity, i.e., comparing the slope of the RUE relationship (productivity vs. precipitation) between both decades using per-pixel Analysis of Covariance (ANCOVA). Categorical vegetation change was then determined for each pixel using the direction of the change and a significance level of p<0.05. The use of RUE (the amount of biomass produced per unit of precipitation) for vegetation trend analysis in savanna regions relies on the assumption that rainfall is a significant positive driver of net production in drylands. Testing of this long-term productivity-rainfall relationship revealed that the assumption was not always met, therefore, validity flags are included for each pixel location.",
"license": "proprietary"
},
@@ -196672,7 +199441,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517698238-ORNL_CLOUD.html",
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"description": "This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) footprint data products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. The data are gridded footprints on a 1-km grid congruent with the ACES emissions inventory. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the \"receptor\" location), to create the adjoint of the transport model in the form of a \"footprint\" field. The footprint, with units of mixing ratio, quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume.",
"license": "proprietary"
},
@@ -196685,7 +199454,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517667717-ORNL_CLOUD.html",
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"description": "This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) particle trajectory data and footprint products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. Meteorological fields from version 3.6.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the \"receptor\" location), to create the adjoint of the transport model in the form of a \"footprint\" field. The footprint, with units of mixing ratio (ppm) per surface flux (umol m-2 s-1), quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. Footprints are provided for the two receptors at two temporal and spatial scales: three days of surface influence over the whole North American coverage area at 1-degree resolution and 24 hours of surface influence within a smaller region close to the measurement locations ('near field') at 0.1-degree resolution.",
"license": "proprietary"
},
@@ -196728,6 +199497,19 @@
"description": "Ten sites on small South Umpqua River tributaries were sampled for inorganic constituents in water and streambed sediment. In aqueous samples, high concentrations (concentrations exceeding U.S. Environmental Protection Agency criterion continuous concentration for the protection of aquatic life) of zinc, copper, and cadmium were detected in Middle Creek at Silver Butte, and the concentration of zinc was high at Middle Creek near Riddle. Similar patterns of trace-element occurrence were observed in streambed-sediment samples.The dissolved aqueous load of zinc carried by Middle Creek along the stretch between the upper site (Middle Creek at Silver Butte) and the lower site (Middle Creek near Riddle) decreased by about 0.3 pounds per day. Removal of zinc from solution between the upper and lower sites on Middle Creek evidently was occurring at the time of sampling. However, zinc that leaves the aqueous phase is not necessarily permanently lost from solution. For example, zinc solubility is pH-dependent, and a shift between solid and aqueous phases towards release of zinc to solution in Middle Creek could occur with a perturbation in stream-water pH. Thus, at least two potentially significant sources of zinc may exist in Middle Creek: (1) the upstream source(s) producing the observed high aqueous zinc concentrations and (2) the streambed sediment itself (zinc-bearing solid phases and/or adsorbed zinc). Similar behavior may be exhibited by copper and cadmium because these trace elements also were present at high concentrations in streambed sediment in the Middle Creek Basin.",
"license": "proprietary"
},
+ {
+ "id": "WUS_UCLA_SR_1",
+ "title": "Western United States UCLA Daily Snow Reanalysis V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "1984-10-01",
+ "end_date": "2021-09-30",
+ "bbox": "-125, 31, -102, 49",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2253727823-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2253727823-NSIDC_ECS.html",
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+ "description": "This Western United States snow reanalysis data set contains daily estimates of posterior snow water equivalent (SWE), fractional snow-covered area (fSCA) and snow depth (SD) at 16 arc-second (~500 m) resolution from water years 1985 to 2021. This data set was developed to be compared to SnowEx data sets but its utility reaches beyond that since its spatial and temporal bounds extend over the entire Western U.S. and over several decades.",
+ "license": "proprietary"
+ },
{
"id": "WV01_Pan_L1B_1",
"title": "WorldView-1 Level 1B Panchromatic Satellite Imagery",
@@ -196919,7 +199701,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863033-ORNL_CLOUD.html",
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"description": "A standardized global data set of soil horizon thicknesses and textures (particle size distributions).",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360699-OB_DAAC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360699-OB_DAAC.html",
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"description": "Measurements made along the West Florida Shelf between 2005 and 2008.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863502-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863502-ORNL_CLOUD.html",
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"description": "This data set provides a soil map with estimates of soil carbon (C) in g C/m2 for 20-cm layers from the surface to one meter depth for the conterminous United States.STATSGO v.1 (State Soil Geographic Database, Soil Survey Staff, 1994) data were used to estimate by 20-cm intervals to a 1-m depth the mean soil carbon for each of the STATSGO-delineated soil map units. These map units are the polygons represented in the provided Shapefile data product. ",
"license": "proprietary"
},
@@ -196984,7 +199766,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360698-OB_DAAC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360698-OB_DAAC.html",
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"description": "Observations from the Western Gulf of Maine",
"license": "proprietary"
},
@@ -196997,7 +199779,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2951683862-ORNL_CLOUD.html",
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"description": "This dataset contains estimates of soil organic carbon stocks and wetland intrinsic potential (WIP) across the Hoh River Watershed in the Olympic Peninsula, WA, USA in 2012-2013. Estimates were derived from an equation based on wetland intrinsic potential and geology type (Stewart et al., 2023). Wetland intrinsic potential estimates the likelihood that that an area is a wetland using a random forest model built on vegetation, hydrology, and soil data (Halabisky et al., 2022). SOC estimates at 1 m and 30 cm, SOC standard deviations, and WIP are presented in Cloud-Optimized GeoTIFF (*.tif) format at 4-m resolution. Also included are 36 field observations of SOC collected from 2020-08-01 to 2022-06-29. These are contained in a comma separated (*.csv) file.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784383305-ORNL_CLOUD.html",
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"description": "The overall purpose in this research was to identify the regions of the world best suited for long-term monitoring of biospheric responses to climate change, i.e., monitoring land surface phenology. The user is referred to White et al. [2005] for further details. Using global 8 km 1982 to 1999 Normalized Difference Vegetation Index (NDVI) data and an eight-element monthly climatology, we identified pixels consistently dominated by annual cycles and then created phenologically and climatically self-similar clusters, which we term phenoregions. We then ranked and screened each phenoregion as a function of landcover homogeneity and consistency, evidence of human impacts, and political diversity.This dataset contains material providing users with direct access to data used to construct the figures in White et al. [2005]. Users are referred to this reference for additional information. Data files include ASCII and binary versions of the image files for the 500 elemental phenoregions and the 136 final monitoring phenoregions (shown in figure below) and a corresponding .jpg map. Also included are the classification data in tabular ACSII format for each of the 500 elemental phenoregions.Selected monitoring phenoregions. Phenoregions with fewer than 100 pixels or dominated by crop, urban or barren landcover removed. The 136 remaining phenoregions are those passing the screening factors in Table 1 and are shown with normalized rankings by landcover. (From White et al., 2005)",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C3234724704-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3234724704-ORNL_CLOUD.html",
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"description": "This dataset contains simulations of net primary production (NPP), heterotrophic respiration (RH), net ecosystem production (NEP), and soil temperature data in North American boreal forests for the period 1986-2020. Data sources included historical fire sources and Landsat data. The delta Normalized Burn Ratio (dNBR), which can be used to represent burn severity for a fire, was calculated for each individual fire over the time period. The interactions between canopy, fire and soil thermal dynamics were modelled using a soil surface energy balance model incorporated into a previous Terrestrial Ecosystem Model (TEM). Using the revised TEM, two regional simulations were conducted with and without fire disturbance. Fire polygons were dissected into each unit with unique fire history and then intersected with each grid cell to measure fire impacts. The output values for each grid cell are the area-weighted mean of each fire polygon and unburned area within the cell. Two extra simulations without a canopy energy balance scheme were also conducted to quantify the impact of the canopy. Soil temperature was simulated with and without the canopy energy balance scheme in the model in addition to considering fire impacts.",
"license": "proprietary"
},
@@ -197361,7 +200143,7 @@
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"description": "This dataset provides daily average land surface net radiation (Rnet) as an 8-day time series at approximately 0.5 km resolution for the upper Xingu River Basin in Mato Grosso, Brazil, from 2000-02-18 to 2012-11-16. The parameters needed to calculate Rnet, including albedo, downward shortwave radiation (RSnet), upward longwave radiation (RLnet[up]) and downward longwave radiation (RLnet[down]) were derived from MODIS products (MOD43A3, MOD11A2, MOD08E3) and local weather station data. Parameters were estimated under all sky conditions. These parameters are also provided for the Xingu Basin but at varying spatial and temporal resolutions.",
"license": "proprietary"
},
@@ -197387,7 +200169,7 @@
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"description": "This data set provides the distribution of young forests (forests less than 27 years of age) and their estimated stand ages across the full extent of Russia at 500-m resolution for the year 2012. The distribution of young forests was modeled with MODIS 500-m records for 12- to 27-year-old forests and augmented with the 0- to 11-year-old forest distribution as aggregated from 30 m resolution contemporary Landsat imagery.",
"license": "proprietary"
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"license": "proprietary"
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"description": "The data set contains a subset of a global organic soil carbon and nitrogen data set (Zinke et al. 1986). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The point data are available in three formats: a comma-delimited ASCII file (*.csv), an ESRI shapefile, and an ESRI export file (*.e00).The data for the global data set (Zinke et al. 1986) were obtained from soil surveys conducted by Zinke in 1965-1984 and from soil survey literature. The main samples for laboratory analyses were collected at uniform soil increments and included bulk density determinations. Many samples reported in the literature did not have uniform soil increments or bulk density determinations. Only soil profiles that had been sampled either to a meter in depth or to actual depth were included in this database from soil survey literature. When carbon content was known but bulk densities were absent from soil samples reported in the literature, densities were estimated by regression analysis on the basis of the relationship between organic carbon content and measured bulk density in 1800 soil profiles for which bulk densities were known.Further information can be found at ftp://daac.ornl.gov/data/lba/carbon_dynamics/Zinke_soil/comp/zinke_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
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"description": "A global digital data base of soil properties is available at 1 degree longitude resolution. For each land cell, the data base includes major and associated soil units, surface texture, and slope; phase and miscellaneous land units are included where available. The data base was compiled as part of an effort to improve modeling of the hydrologic cycle in the GISS Genreal Circulation Model.",
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"description": "Measurements taken in the western equatorial Pacific Ocean in 1996.",
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"description": "SAFARI 2000 provided an opportunity to study aerosol particles produced by savanna burning. We used analytical transmission electron microscopy (TEM), including energy-dispersive X-ray spectrometry (EDS) and electron energy-loss spectroscopy (EELS), to study aerosol particles from several smoke and haze samples and from a set of cloud samples. These aerosol particle samples were collected using the University of Washington Convair CV-580 research aircraft (Posfai et al., 2003).",
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"description": "Measurements include concentrations of carbon dioxide and ozone, atmospheric pressure, dry bulb temperature, potential temperature, dewpoint temperature, calculated mixing ratio, and wind speed and direction at both the NSA and the SSA in 1994 and 1996.",
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"description": "Measurements in the boundary layer of the fluxes of sensible and latent heat, momentum, ozone, methane, and carbon dioxide, plus supporting meteorological parameters such as temperature, humidity, and wind speed and direction.",
"license": "proprietary"
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"description": "The BOREAS AFM-06 team from the National Oceanic and Atmospheric Administration Environmental Technology Laboratory (NOAA/ETL) operated a 35 GHz cloud-sensing radar in the Northern Study Area (NSA) near the Old Jack Pine (OJP) tower from 16-Jul-1994 to 08-Aug-1994.",
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"description": "This data set includes the soil and vegetation characteristics, herbivore estimates, and precipitation measurement data for the 854 sites described and analyzed in Sankaran et al., 2005. Savannas are globally important ecosystems of great significance to human economies. In these biomes, which are characterized by the co-dominance of trees and grasses, woody cover is a chief determinant of ecosystem properties. The availability of resources (water, nutrients) and disturbance regimes (fire, herbivory) are thought to be important in regulating woody cover but perceptions differ on which of these are the primary drivers of savanna structure. Analyses of data from 854 sites across Africa (Figure 1) showed that maximum woody cover in savannas receiving a mean annual precipitation (MAP) of less than approximately 650 mm is constrained by, and increases linearly with, MAP. These arid and semi-arid savannas may be considered stable systems in which water constrains woody cover and permits grasses to coexist, while fire, herbivory and soil properties interact to reduce woody cover below the MAP-controlled upper bound. Above a MAP of approximately 650 mm, savannas are unstable systems in which MAP is sufficient for woody canopy closure, and disturbances (fire, herbivory) are required for the coexistence of trees and grass. These results provide insights into the nature of African savannas and suggest that future changes in precipitation may considerably affect their distribution and dynamics (Sankaran et al., 2005).This data set includes the site characteristics and measurement data for the 854 sites described and analyzed in Sankaran et al., 2005. The data are provided in two formats, *.xls and *.csv. See the data format section below for more information. A companion document composed of the supplemental documentation and figures provided with Sankaran et al., 2005 is also included (ftp://daac.ornl.gov/data/global_vegetation/african_woody_savanna/comp/Woody_Cover.pdf).",
"license": "proprietary"
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"description": "This data set contains the calculated net ocean-air carbon dioxide (CO2) flux and sea-air CO2 partial pressure (pCO2) difference. The estimates are based on approximately one million measurements made for the pCO2 in surface waters of the global ocean since the International Geophysical Year, 1956-1959. Only the ocean water pCO2 values measured using direct gas-seawater equilibration methods were used. The results represent the climatological distributions under non-El Nino conditions. Since the measurements were made in different years, during which the atmospheric pCO2 was increasing, they were corrected to a single reference year (arbitrarily chosen to be 1995) on the basis of the following assumptions: -Surface waters in subtropical gyres mix vertically at slow rates with subsurface waters due to the presence of strong stratification at the base of the mixed layer. This will allow a long contact time with the atmosphere to exchange CO2. Therefore, their CO2 chemistry tends to follow the atmospheric CO2 increase. Accordingly, the pCO2 measured in a given month and year is corrected to the same month of the reference year 1995 using changes in the atmospheric CO2 concentration occurred during this period.-Oceanic pCO2 measurements made after the beginning of 1979 have been corrected to 1995 using the atmospheric CO2 concentration data from the GLOBALVIEW-CO2 database (2000), in which the zonal mean atmospheric concentrations (for each 0.05 in sine of latitude) within the planetary boundary layer are summarized for each month since 1979 to 2000.-Pre-1979 oceanic pCO2 data were corrected to 1979 using the annual mean trend for the global mean atmospheric CO2 concentration constructed from the Mauna Loa data of Keeling and Whorf (2000), and then from 1979 to 1995 using the GLOBALVIEW-CO2 database. -Measurements for pCO2 made in the following areas have been corrected for the time of observation; 45 degrees N, 50 degrees S, in the Atlantic Ocean, north of 50 degrees S in the Indian Ocean, 40 degrees N, 50 degrees S in the western Pacific west of the date line, and 40 degrees N, 60 degrees S, in the eastern Pacific east of the date line. ",
"license": "proprietary"
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"description": "Satellite and aircraft SAR data used in conjunction with various ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high-resolution images that represent the radar backscatter of the imaged surface at different frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV).",
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"description": "Satellite and aircraft SAR data used in conjunction with various ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high resolution images that represent the radar backscatter of the imaged surface atdifferent frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV). The level-3b AIRSAR SY data are the JPL synoptic product and contain 3 of the 12 total frequency and polarization combinations that are possible.",
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"description": "Airborne sunphotometer data collected on 8/13-15/90 used to provide quantitative atmospheric correction to remotely sensed data of forest reflectance and radiance",
"license": "proprietary"
},
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"license": "proprietary"
},
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"license": "proprietary"
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"license": "proprietary"
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"description": "The Continental Atmospheric CO2 Consumption data set represents gridded estimates for the riverine export of carbon and of sediments based on empirical models. All data exist for the overall continental area in a spatial resolution of 0.5 x 0.5 degree longitude/ latitude. The units are tC/km2/yr for all carbon species, and t/km2/yr for sediment fluxes. There are two data files (*.zip) with this data set which describe the following: dissolved organic carbon (DOC) export, particulate organic carbon (POC) export, bicarbonate export, export of bicarbonate being of atmospheric origin (also called atmospheric CO2 consumption by rock weathering), and sediment export.",
"license": "proprietary"
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"description": "The Global Inventory Mapping and Modeling (GIMMS) group at NASA/GSFC provided SAFARI 2000 with remotely sensed satellite data products at the site and regional level. These AVHRR data contain two main sets of data: site extracts of SAFARI core sites (Mongu, Etosha, Kasungu, Maun, Skukuza, and Tshane), and regional 15-day composites from sets of single-day images. These AVHRR data contain four main sets of data:1.5 km daily site extracts of SAFARI core sites (2000)1.5 km 15-day composites of SAFARI core sites (1998-2000)1.5 km 15-day composites of the southern African region (Mar, Sept 2000)6 km 15-day composites of the southern African region (1998-2000)The primary data layers for site extracts and regional composites are fire pixel counts and maximum NDVI. The fire product is different for the daily and for the composited products (see readme file) and a fire product is not included in the 1.5 km regional data set. NDVI composite-associated data layers for the regional data sets include land surface temperature, reflectance, solar zenith angle, view zenith angle, and relative azimuth angle. NDVI composite-associated data layers for the site extracts include these same variables as well as brightness temperature, fire mask composite, latitude, and longitude. The data are stored in binary image format files. There is a metadata file for each site and date/compositing period, in ASCII format.",
"license": "proprietary"
},
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"description": "This Albedo and BRDF (Bidirectional Reflectance Distribution Function) data set contains three files containing BRDF parameters, white- sky albedo and black-sky albedo at solar noon for three bands ((350-680nm, 680-3000nm, and 350-30000nm)derived from AVHRR (Advanced Very High Resolution Radiometer). These data are available at spatial resolutions of quarter, half, and one degree. Black-sky albedo (direct beam contribution) and white-sky (Completely diffuse contribution) can be linearly combined as a function of the fraction of diffuse skylight (itself a function of optical depth) to provide an actual or instantaneous albedo at local solar noon. ",
"license": "proprietary"
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"description": "Data acquired from the AVHRR instrument on the NOAA-9, -11, -12, and -14 satellites were processed and archived. A few winter acquisitions are available, but the archive contains primarily growing season imagery. These gridded, at-sensor radiance image data cover the period of 30-Jan-1994 to 18-Sep-1996. Geographically, the data cover the entire 1000 km x 1000 km BOREAS Region. ",
"license": "proprietary"
},
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"description": "These AVHRR level-4b data are gridded, 10-day composites of at-sensor radiance values produced from sets of single-day images. Temporally, the 10-day compositing periods begin 11-Apr-1994 and end 10-Sep-1994. Spatially, the data cover the entire BOREAS region. ",
"license": "proprietary"
},
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"description": "These AVHRR level-4c data are gridded, 10-day composites of surface parameters produced from sets of single-day images. Temporally, the 10-day compositing periods begin 11-Apr-1994 and end 10-Sep-1994. Spatially, the data cover the entire BOREAS region.",
"license": "proprietary"
},
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"description": "This regional land cover data set was developed as part of a multitemporal 1-km AVHRR land cover analysis approach that was used as the basis for regional land cover mapping, fire disturbance-regeneration, and multiresolution land cover scaling studies in the boreal forest ecosystem of central Canada (Steyaert et al., 1997).",
"license": "proprietary"
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"description": "This data set is an expanded version of the Costa et al. (2000) data set and consists of a single grid with values of 1 for cells within the basins and 0 for cells outside. The resolution of the data set is 5 x 5 min (approximately 9 x 9 km). The area of this data set is consistent with the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The data file is in ASCII GRID format.",
"license": "proprietary"
},
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"description": "The Southern African Regional Science Initiative (SAFARI 2000) was conducted in part to investigate the impacts of the large-scale transport and deposition of increasingly anthropogenic emissions on southern African biogeochemical cycling. Aerosol samples from the Mongu site in eastern Zambia were collected and analyzed to identify chemical biomarkers during the SAFARI 2000 dry season field campaign. Total suspended particulate aerosol samples were collected diurnally for a period of two weeks during August and September of 2000.These data include bulk organic carbon, nitrogen and sulfur stable isotopic measurements of total suspended particulate aerosols and gas chromatography/mass spectrometry (GC/MS) analysis of fatty acids extracted from collected aerosols. These data were used to chemically describe temporal variability in aerosol compositions.",
"license": "proprietary"
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"description": "Domestic biomass fuels (biofuels) are estimated to be the second largest source of carbon emissions from global biomass burning. Wood and charcoal provide approximately 90% and 10% of domestic energy in tropical Africa, respectively. As part of the Southern Africa Regional Science Initiative (SAFARI 2000), the University of Montana participated in both ground-based and airborne campaigns during the southern African dry season of 2000 to measure trace gas emissions from biofuel production and use and savanna fires, respectively.",
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"description": "This data set of leaf, stem, and root biomass for various plant taxa was compiled from the primary literature of the 20th century with a significant portion derived from Cannell (1982). Recent allometric additions include measurements made by Niklas and colleagues (Niklas, 2003). This is a unique data set with which to evaluate allometric patterns of standing biomass within and across the broad spectrum of vascular plant species. Despite its importance to ecology, global climate research, and evolutionary and ecological theory, the general principles underlying how plant metabolic production is allocated to above- and below-ground biomass remain unclear. The resulting uncertainty severely limits the accuracy of models for many ecologically and evolutionarily important phenomena across taxonomically diverse communities. Thus, although quantitative assessments of biomass allocation patterns are central to biology, theoretical or empirical assessments of these patterns remain contentious",
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"description": "This biomass density image covers almost the entire BOREAS SSA. The pixels for which biomass density is computed include areas that are in conifer land cover classes only. The biomass density values represent the amount of overstory biomass (i.e., tree biomass only) per unit area. It is derived from a Landsat-5 TM image collected on 02-Sep-1994. The technique that was used to create this image is very similar to the technique that was used to create the physical classification of the SSA.",
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"description": "Derived maps of landcover type and crown and stem biomass as model inputs to determine annual evapotranspiration, gross primary production, autotrophic respiration and net primary productivity within the BOREAS SSA-MSA, at a 30 m spatial resolution. Mode",
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"description": "This data set contains hourly and daily meteorological data from 23 meteorological stations across Canada from January 1975 to January 1997. The surface meteorology parameters include: date, time, temperature, precipitation, snow, snow depth, sea level pressure, station pressure, dew point, wind direction, wind speed, dry and wet bulb temperature, relative humidity, cloud opacity and cloud amount.",
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"description": "Biomass burning is a major source for gaseous and particulate atmospheric pollution over southern Africa and globally. The purpose of this study was to quantify biomass burning emissions in an attempt to better understand and predict associated environmental impacts. Sixty biomass burning experiments were carried out November 2000-January 2001 in three regions of southern Africa that are representative of major regional ecosystem types: Etosha National Park (Namibia), Kruger National Park (South Africa), and woodland sites in Zambia and Malawi.",
"license": "proprietary"
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"description": "Biogenic volatile organic compound (BVOC) emissions were measured in a Colophospermum mopane woodland near Maun, Botswana, and in a Combretum-Acacia savanna in Kruger National Park, 13 km from Skukuza, Republic of South Africa (RSA) during the 2001 wet season campaign of SAFARI 2000. In addition, relaxed eddy accumulation (REA) measurements of BVOC fluxes were made on flux towers at these sites, where net CO2 emissions were also measured simultaneously.",
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"description": "The photosynthetic composition (C3 or C4) of vegetation on the land surface is essential for accurate simulations of biosphere-atmosphere exchanges of carbon, water, and energy. C3 and C4 plants have different responses to light, temperature, CO2, and nitrogen; they also differ in physiological functions like stomatal conductance and isotope fractionation. A fine-scale distribution of these plant types is essential for earth science modeling.The C4 percentage is determined from data sets that describe the continuous distribution of plant growth forms (i.e., the percent of a grid cell covered by herbaceous or woody vegetation), climate classifications, the fraction of a grid cell covered in croplands, and national crop type harvest area statistics. The staff from the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II have made the original data set consistent with the ISLSCP-2 land/water mask. This data set contains a single file in ArcInfo ASCIIGRID format.This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.",
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"description": "This data set is a subset of Cramer and Leeman's (1999) global mean monthly climatology . The subset is for the area of southern Africa within the following bounds: 5 N to 35 S and 5 E to 60 E. The data are available in ASCII grid and binary image formats.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751948433-ORNL_CLOUD.html",
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"description": "This data set contains a single data file (.csv format) that provides gridded values of net primary productivity (NPP) for cropland in eight counties in the central United States for the year 1992 and estimates of interannual cropland NPP in Iowa for years from 1982 through 1996. The data file also includes climate, soil texture, and land cover data for each 0.5 degree grid cell. The magnitude and interannual variation in NPP was estimated using crop area and yield data from the U.S. Department of Agriculture, National Agricultural Statistics Service (NASS). The major harvested commodities were corn, soybean, sorghum, sunflower, oats, barley, wheat, and hay. Total NPP estimates include both above- and below-ground components. County-level NPP in 1992 ranged from 195 to 760 gC/m2/year. The area of highest NPP, ranging from 650 to 760 gC/m2/year, was found in a band extending across Iowa, through northern Illinois, Indiana, and southwestern Ohio. Areas of moderate NPP, from 550 to 650 gC/m2/year, occurred mostly in Michigan and Wisconsin, while large areas of low NPP, from 200 to 550 gC/m2/year, occurred in North Dakota, southern Illinois, and Minnesota. The area of highest production was also the area with the largest proportion of land sown with corn and soybean. NPP for counties in Iowa varied among years (1982-1996) by a factor of 2, with the lowest NPP in 1983 (which had an unusually wet spring), in 1988 (which was a drought year), and in 1993 (which experienced floods). Revision Notes: The documentation for this data set has been modified, and the data files have been reformatted. The data files have been checked for accuracy and the contents are identical to those originally published in 2001. ",
"license": "proprietary"
},
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"description": "This data set contains monthly climate time series data created by the Climatic Research Unit (CRU) at the University of East Anglia, U.K.,for every year covering the period 1986 to 1995. This time series is a subset of a larger CRU monthly data set that covers the period of 1901 to 1996. The data comprise a suite of six climate elements: precipitation, mean temperature, diurnal temperature range, wet-day frequency, vapor pressure, and cloud cover. There are 13 files in this data set provided at 0.5 and 1.0 degree spatial resolutions. ",
"license": "proprietary"
},
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"description": "This data set contains a mean monthly climatology for several climate variables averaged over the period from 1961 to 1990, and constructed from a data set of station 1961-1990 climatological normals, numbering between 19,800 (precipitation) and 3,615 (windspeed; see New et al, 1999 for details). The station data were interpolated as a function of latitude, longitude and elevation using thin-plate splines. The data comprise a suite of climate elements: precipitation, mean, maximum, and minimum temperature, frost frequency, diurnal temperature range, radiation, wet-day frequency, vapor pressure, wind, and cloud cover. There are 23 files in this data set provided at 0.5 and 1.0 degree spatial resolutions. ",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2789731186-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789731186-ORNL_CLOUD.html",
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"description": "The Microwave InfraRed Algorithm (MIRA) is used to produce an imagery data set of daily mean rain rates at 0.1 degree spatial resolution over southern Africa for the period 1993-2001. MIRA combines passive microwave (PMW) from the Special Sensor Microwave/Imager (SSM/I) on board the DMSP F10 and F14 satellites at a resolution of 0.5 degrees and infrared (IR) data from the Meteosat 4, 5, 6, and 7 satellites in 2-hour slots at a resolution of 5 km. This approach accounts for the limitations of both data types in estimating precipitation. Rainfall estimates are produced at the high spatial and temporal frequency of the IR data using rainfall information from the PMW data. An IR/rain rate relationship, variable in space and time, is derived from coincident observations of IR and PMW rain rate (accumulated over a calibration domain) using the probability matching method. The IR/rain rate relationship is then applied to IR imagery at full temporal resolution. The results presented here are the daily means of those derived rain rates at 0.1 degree spatial resolution.The rainfall data sets are flat binary images with no headers. They are compressed band sequential (bsq) files that contain all of the daily images for the given year. Each image is an array of 401 lines, each with 341 binary floating-point numbers, containing rainfall at 0.1 degree resolution for the area 10 to 50 degrees longitude and 0 to -34 degrees latitude. The number of band sequential images in each annual file and the associated dates can be found in the file MIRA_data_dates.csv.",
"license": "proprietary"
},
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"description": "This data set contains monthly mean values of diffuse irradiance fraction [f(Ediff), or ratio of diffuse-to-total irradiance] at ground level for a 30-degree solar zenith angle and in seven spectral bands (MODIS bands 1-7) as well broadband visible (400-700 nm), near-infrared (700-3000 nm) and shortwave (400-3000 nm). Values are provided for eight SAFARI 2000 core sites, including Ghanzi/Okwa River Crossing, Maun (Main and Floodplain Towers), Pandamatenga, and Tshane, Botswana; Skukuza, South Africa; Etosha National Park, Namibia; and Mongu, Zambia. The fractions were estimated with the 6S radiative transfer model, given the mean aerosol optical depth (AOT) values from AERONET sunphotometer measurements. Where sunphotometers were not deployed at a SAFARI 2000 core site, the nearest neighbor sunphotometer data were used. A rough estimate of the likely spatial extrapolation error is provided. These data can be used to estimate typical surface albedo (blue sky conditions) from the theoretical black-sky and white-sky albedo values provided in the MODIS albedo product (MOD43), as well as in other applications.Data for all eight sites are contained in one ASCII file, in csv format. The data file provides the ratio of diffuse (atmospherically-scattered) irradiance to total irradiance, both at ground level, for the eight sites in southern Africa. Mean values are provided for each of 12 months in 10 spectral bands between 0.4 and 4.0 microns, computed for a 30-degree solar zenith angle. The native resolution of the AERONET sunphotometer data varies, but is typically less than 1 hour. Information about the site location, IGBP classification, and nearest AERONET sunphotometer site is also provided.",
"license": "proprietary"
},
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"description": "The level-0 Daedalus TMS imagery, along with the other remotely sensed images, was collected to provide spatially extensive information about radiant energy over the primary BOREAS study areas. This information includes detailed land cover and biophysical parameter maps such as fPAR and LAI.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2556025141-ORNL_CLOUD.html",
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"description": "This data set contains forest canopy scan data from the Echidna? Validation Instrument (EVI) and field measurements data from three campaigns conducted in the United States: 2007 New England Campaign; 2008 Sierra National Forest Campaign; and 2009 New England Campaign. The New England field sites were located in Harvard Forest (Massachusetts), Howland Research Forest (Maine), and the Bartlett Experimental Forest (New Hampshire).The objective of the research was to evaluate the ability of the EVI ground-based, scanning near-infrared lidar to retrieve stem diameter, stem count density, stand height, leaf area index, foliage profile, foliage area volume density, and other useful forest structural parameters rapidly and accurately.The EVI scan data are Andrieu Transpose (AT) Projection images in ENVI *.img and *.hdr file pairs. There are 28 images from the 2007 New England Campaign, 30 images from the 2008 Sierra National Forest Campaign, and 54 images from the 2009 New England Campaign. There are range-weighted mean preview image files (.jpg format) for each AT Projection image.Manual measurements of tree structural properties were made during each campaign at EVI scan locations. The field measurements are provided in one file for each campaign (.csv format). Parameters include species identification, DBH, tree height, crown base, etc. organized by field plot. There is also a data file (.csv format) which compares EVI derived measurements to the field measured data (DBH, stem density, basal area, biomass, and LAI) from the 2007 New England Campaign.",
"license": "proprietary"
},
@@ -204511,7 +207293,7 @@
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"description": "Hourly data from the ECMWF operational model from below the surface to the top of the atmosphere, including the model fluxes at the surface, at Candle Lake, Saskatchewan, in the SSA and Thompson, Manitoba, in the NSA 13-May-1994 to 30-Sept-1994 and 01-Mar-1996 to 31-Mar-1997.",
"license": "proprietary"
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"description": "This data set for the ISLSCP Initiative II data collection provides meteorology data with fixed, monthly, monthly-6-hourly, 6-hourly, and 3-hourly temporal resolutions. The data were derived from the European Centre for Medium-range Weather Forecasts (ECMWF) near-surface meteorology data set, 40-year re-analysis, or ERA-40 (Simmons and Gibson, 2000), which covers the years 1957 to 2001. The data were processed onto the ISLSCP II Earth grid with a spatial resolution of 1-degree in both latitude and longitude, and span the common ISLSCP II period from 1986 to 1995.The ECMWF forecast system is called the Integrated Forecasting System (IFS) and was developed in co-operation with Meteo-France. For ERA40 it is used with 60 levels from the top of the model at 10 Pa to the lowest level at about 10 m above the surface. There are 46 compressed (.tar.gz) data files with this data set. Each uncompressed file contains space-delimited text (.asc) data files.",
"license": "proprietary"
},
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"description": "The goal of this study was to predict the global distribution of plant rooting depths based on data about global aboveground vegetation structure and climate. Vertical root distributions influence the fluxes of water, carbon, and soil nutrients and the distribution and activities of soil fauna. Roots transport nutrients and water upwards, but they are also pathways for carbon and nutrient transport into deeper soil layers and for deep water infiltration. Roots also affect the weathering rates of soil minerals. For calculating such processes on a global scale, data on vertical root distributions are needed as inputs to global biogeochemistry and vegetation models. In the Project for Intercomparison of Land Surface Parameterization Schemes (PILPS), rooting depth and vertical soil characteristics were the most important factors explaining scatter for simulated transpiration among 14 land-surface models. Recently, the Terrestrial Observation Panel for Climate of the Global Climate Observation System (GCOS) identified the 95% rooting depth as a key variable needed to quantify the interactions between the climate, soil, and plants, stating that the main challenge was to find the correlation between rooting depth and soil and climate features (GCOS/GTOS Terrestrial Observation Panel for Climate 1997). In response to this challenge, a data set of vertical rooting depths was collected from the literature in order to construct maps of global ecosystem rooting depths.The parameters included in these data sets are estimates for the soil depths containing 50% and 95% of all roots, termed 50% and 95% rooting depths (D50 and D95, respectively). Together, these variables can be used to calculate estimates for vertical root distributions, using a logistic equation provided in this documentation. The data represent mean ecosystem rooting depths for 1 by 1 degree grid cells. Related data sets: The ORNL DAAC offers related data sets by Jackson et al. (2003), Gordon and Jackson (2003), Schenk and Jackson (2003), and Gill and Jackson (2003).This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.",
"license": "proprietary"
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"description": "This data set describes the geographic distributions of 17 classes of land cover based on the International Geosphere-Biosphere DISCover land cover legend (Loveland and Belward 1997) and the 15 classes of the SiB model processed at the USGS EROS Data Center (EDC). Specifically, the resampled DISCover datasets were derived from the 1km DISCover data set compiled by the USGS. The 1km data sets for each classification scheme were aggregated to 1, 0.5 and 0.25 degree spatial resolutions for this ISLSCP II data collection. Each layer of the aggregated products corresponds to a single DISCover land cover category and the values represent the percentage of the coarse resolution cell (1 degree, etc...)occupied by that land cover category. The dominant class data show the land cover category that occupies the majority of the cell and is derived from the percentage files for each cover type. The objective of this study was to create a land cover map derived from 1 kilometer AVHRR data using a full year of data (April 1992-March 1993). This thematic map was resampled to 0.25, 0.5 and 1.0 degree grids for the International Satellite Land Surface Climatology Project (ISLSCP) data initiative II. During this re-processing, the original EDC land cover type and fraction maps were adjusted to match the water/land fraction of the ISLSCP II land/water mask. These maps were generated for use by global modelers and others. This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.",
"license": "proprietary"
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"description": "The EDGAR (Emission Database for Global Atmospheric Research) database project is a comprehensive task carried out jointly by the National Institute for Public Health (RIVM) and the Netherlands Organization for Applied Scientific Research (TNO) and stores global emission inventories of direct and indirect greenhouse gases from anthropogenic sources including halocarbons and aerosols both on a per country and region basis as well as on a grid (see http://www.rivm.nl/edgar/). For the ISLSCP Initiative II data collection, gridded global annual anthropogenic emissions for the greenhouse gases CO2, CH4, N2O are provided on a 1.0 degree by 1.0 degree grid for the years 1970, 1980, 1990, and 1995 and for the tropospheric ozone precursor gases CO, NOx, NMVOC (Non-Methane Volatile Organic Compounds) and SO2 for the years 1990 and 1995. There are 2 *.zip data files with this data set.",
"license": "proprietary"
},
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"description": "Elevation contours over the NSA and SSA in ARC/Info Generate Format. Data cover portions of the BOREAS Northern Study Area (NSA) and Southern Study Area (SSA) and are on a scale of 1:50,000.",
"license": "proprietary"
},
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"description": "Aerial photography from the NASA ER-2 high-altitude aircraft was collected to provide detailed and spatially extensive documentation over parts of the SAFARI study area. The ER-2 aerial photography consists of 3,046 color-infrared (IR) transparencies collected during the SAFARI 2000 Dry Season Aircraft Campaign in August and September of 2000. ORNL DAAC has archived scanned subsets of the ER-2 aerial photography. In addition, 515 image frames have been scanned from copies of the original level-0 ER-2 aerial photography by the University of the Witwatersrand (Wits), in Pretoria, South Africa. ORNL DAAC has archived subsets of the available imagery from ARC and Wits.",
"license": "proprietary"
},
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"description": "During 1994 and 1996, digital and analog imaging instruments mounted on the NASA ER2 aircraft collected various remotely sensed data from the atmosphere and earth's surface as part of the BOReal Ecosystem-Atmosphere Study (BOREAS) Intensive Field Campaigns (IFC).",
"license": "proprietary"
},
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"description": "As part of the SAFARI 2000), the University of Montana participated in both ground-based and airborne campaigns during the southern African dry season of 2000 to measure trace gas emissions from biofuel production and use and savanna fires, respectively. During the airborne campaign, stable and reactive trace gases were measured over southern Africa with an airborne Fourier transform infrared spectroscopy (AFTIR) onboard the University of Washington Convair-580 research aircraft in August-September of 2000. The measurements included vertical profiles of CO2, CO, H2O, and CH4 up to 5.5 km on 6 occasions above instrumented ground sites and below the TERRA satellite and ER-2 high-flying research aircraft as well as trace gas emissions from ten African savanna fires. These measurements are the first broad characterization of the most abundant trace gases in nascent smoke from African savanna fires (i.e., including oxygen- and nitrogen-containing species).",
"license": "proprietary"
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"description": "This dataset provides global estimates of monthly burned area, monthly emissions and fractional contributions of different fire types, daily or 3-hourly fields to scale the monthly emissions to higher temporal resolutions, and data for monthly biosphere fluxes. The data are at 0.25-degree latitude by 0.25-degree longitude spatial resolution and are available from June 1995 through 2016, depending on the dataset. Emissions data are available for carbon (C), dry matter (DM), carbon dioxide (CO2), carbon monoxide (CO), methane (CH4), hydrogen (H2), nitrous oxide (N2O), nitrogen oxides (NOx), non-methane hydrocarbons (NMHC), organic carbon (OC), black carbon (BC), particulate matter less than 2.5 microns (PM2.5), total particulate matter (TPM), and sulfur dioxide (SO2) among others. These data are yearly totals by region, globally, and by fire source for each region.",
"license": "proprietary"
},
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"description": "This International Satellite Land Surface Climatology Project (ISLSCP II) data set, ISLSCP II Carbon Dioxide Flux at Harvard Forest and Northern BOREAS Sites, contains gapp-filled flux and meterological data for half-hourly, daily, weekly, monthly, and annual time intervals presented for each site and year. The 1992-1995 Harvard Forest, MA site, and the 1994-95 Old Black Spruce, Alberta, Canada site are members of the FLUXNET global network of micrometeorological towers that use eddy covariance methods to measure the excahanges of carbon dioxide (CO2), water vapor, and energy between terrestrial ecosystem and atmosphere. ",
"license": "proprietary"
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"description": "A comprehensive global database has been assembled to quantify CO2 fluxes and pathways across different levels of integration (from photosynthesis up to net ecosystem production) in forest ecosystems. The database fills an important gap for model calibration, model validation, and hypothesis testing at global and regional scales. The database archive includes: a Microsoft Office Access Database; data files for all tables in the database; query outputs from the database; and SQL script file for re-creating the database from the tables. The database is structured by site (i.e., a forest or stand of known geographical location, biome, species composition, and management regime). It contains carbon budget variables (fluxes and stocks), ecosystem traits (standing biomass, leaf area index, age), and ancillary information (management regime, climate, soil characteristics) for 529 sites from eight forest biomes. Data entries originated from peer-reviewed literature and personal communications with researchers involved in Fluxnet. Flux estimates were included in the database when they were based on direct measurements (e.g., tower-based eddy covariance system measurements), derived from single or multiple direct measurements, or modeled. Stand description was based on observed values, and climatic description was based on the CRU data set and ORCHIDEE model output. Uncertainty for each carbon balance component in the database was estimated in a uniformed way by expert judgment. Robustness of CO2 balances was tested, and closure terms were introduced as a numerical way to approach data quality and flux uncertainty at the biome level.",
"license": "proprietary"
},
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"description": "This data set contains global, spatially explicit (1 km2 grid cells) and temporally explicit (semi-monthly) modeled output of fuel loads over southern Africa. The fuel types considered in the data set are litter (dead tree leaves), dead grass, green grass, and small-diameter twigs. The Production Efficiency Model (PEM) was used to produce the estimated fuel loads for southern Africa for the 1999-2000 growing seasons.",
"license": "proprietary"
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"description": "Fluxes of carbon dioxide, water vapor, and energy exchange have been measured at 38 forest, grassland, and crop sites as part of the EUROFLUX and AmeriFlux projects. A total of 97 site-years of data were compiled, primarily between 1996 and 1998 but also for 1992-1995 and 1999-2000. Half-hour flux and meteorology measurements are included plus the gap-filled half-hour estimates and aggregations to day and night, weekly, monthly, and annual periods. The FLUXNET 2000 Synthesis Workshop was held at the Marconi Conference Center, Marshall, California, June 11-14, 2000. The Marconi Flux Data Collection was compiled to aid in exploring the interactions between the terrestrial biosphere and the overlying atmosphere through carbon, water, and energy exchanges. The workshop resulted in several studies to synthesize and interpret differences and similarities in long-term measurements of carbon dioxide, water vapor, and energy exchanges between vegetation and the atmosphere for a spectrum of ecosystems. A series of synthesis papers based on these data and studies was published in a special issue of the Agriculture and Forest Meteorology, Volume 113, 2002. The papers are listed in the reference section. This data product is being archived as a record of the data used the AFM special issue. Updates and revisions to the data are available at the FLUXNET web site.The eddy covariance technique is used for long-term continuous measurements of mass and energy fluxes to capture seasonal dynamics and allow for a meaningful scaling with respect to time. The equipment and methodology were standardized among sites by using common software and instrumentation. Comparisons of ecosystem fluxes among sites are usually performed on annual or monthly sums calculated on complete data records; however, the average site data coverage during a year was only 65%. Therefore, development and application of robust and consistent data gap-filling methods was required before fluxes could be calculated. One of the outcomes of the FLUXNET project was computer applications to process the data into complete, consistent, quality assured, and documented data sets (Falge et al. 2001a,b). Gap-filled flux data from four different filling methods are reported. Selected meteorological parameters were also gap filled to support flux estimating methods and are reported along with non-filled meteorological data. Note that the measured/estimated CO2 fluxes and storage fluxes were summed into net ecosystem exchange (NEE), and ONLY NEE data are reported. ",
"license": "proprietary"
},
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"description": "The data sets in this directory were provided by Mr. Gregory Yetman and Drs. Stuart Gaffin and Deborah Balk from the Center for International Earth Science Information Network (CIESIN) at Columbia University. There are three data files at three spatial resolutions of 0.25, 0.5 and 1.0 degree in both latitude and longitude and for the reference year of 1990.Estimates of Gross Domestic Product (GDP) are commonly given for nations as a single aggregated number. This data set generates estimates of GDP density distributed subnationally to facilitate the integration of GDP with other data at a sub-national level and to promote interdisciplinary studies that include socioeconomic aspects. This is one of two coarse resolution Socioeconomic data sets included in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data collection, the other being the Gridded Population of the World (GPW), also produced by CIESIN. ",
"license": "proprietary"
},
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"description": "Geographic coordinate and other site information from several sources throughout the experiment period. The final set of information is organized into two data sets that provide geographic coordinate and site characteristic information for single sites and corner coordinates for standard geographic areas.",
"license": "proprietary"
},
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"description": "The Geoecology database is a compilation of environmental data for the period 1941 to 1981. The Geoecology database contains selected data on terrain and soils, water resources, forestry, vegetation, agriculture, land use, wildlife, air quality, climate, natural areas, and endangered species. Data on selected human population characteristics are also included to complement the environmental files. Data represent the conterminous United States at the county level. These historical data are provided as a source of 1970s baseline environmental conditions for the United States.",
"license": "proprietary"
},
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"license": "proprietary"
},
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"description": "This data set consists of a southern African subset of the Global Historical Climatology Network (GHCN) Version 1 database. All stations with the following bounding coordinates are included in this subset: 5W - 60E and 5N - 35S. There are three files available, one each for precipitation, temperature, and pressure data. Within this subset the oldest data date from 1874 and the most recent from 1990.",
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"description": "The Global Inventory Modelling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) data sets were generated to provide a 22-year satellite record of monthly changes in terrestrial vegetation. This data set contains three data files provided at spatial resolutions of 0.25, 0.5 and 1.0 degree in latitude and longitude with data from July 1981 through December 2002. New features include reduced NDVI variations arising from calibration, view geometry, volcanic aerosols, and other effects not related to actual vegetation change. In particular, NOAA-9 descending node data from September 1994 to January 1995, volcanic stratospheric aerosol correction for 1982-1984 and 1991-1994, and improved NDVI using empirical mode decomposition/reconstruction (EMD) to minimize effects of orbital drift. Global NDVI was generated to provide inputs for computing the time series of biophysical parameters contained in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II collection. NDVI is used in climate models and biogeochemical models to calculate photosynthesis, the exchange of CO2 between the atmosphere and the land surface, land-surface evapotranspiration and the absorption and release of energy by the land surface. ",
"license": "proprietary"
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"description": "This database provides information on the distribution and environmental characteristics of natural wetlands. The database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. The original data consists of five global 1-degree latitude by 1-degree longitude arrays. The subset retains all five arrays at the 1-degree resolution but only for the area of interest. The arrays are (1) wetland data source, (2) wetland type, (3) fractional inundation, (4) vegetation type, and (5) soil type.",
"license": "proprietary"
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"description": "Nitrogen is a major nutrient in terrestrial ecosystems and an important catalyst in tropospheric photochemistry. Over the last century human activities have dramatically increased inputs of reactive nitrogen (Nr, the combination of oxidized, reduced and organically bound nitrogen) to the Earth system. Nitrogen cycle perturbations have compromised air quality and human health, acidified ecosystems, and degraded and eutrophied lakes and coastal estuaries [Vitousek et al., 1997a, 1997b; Rabalais, 2002; Howarth et al., 2003; Townsend et al., 2003; Galloway et al., 2004]. To begin to quantify the changes to the global N cycle, we have assembled key flux data and N2O mixing ratios from various sources. The data assembled from different sources includes fertilizer production from 1920-2004; manure production from 1860-2004; crop N fixation estimated for three time points, 1860, 1900, 1995; tropospheric N2O mixing ratios from ice core and firn measurements, and tropospheric concentrations to cover the time period from 1756-2004. The changing N2O concentrations provide an independent index of changes to the global N cycle, in much the same way that changing carbon dioxide concentrations provide an important constraint on the global carbon cycle. The changes to the global N cycle are driven by industrialization, as indicated by fossil fuel NOx emission, and by the intensification of agriculture, as indicted by fertilizer and manure production and crop N2 fixation. The data set and the science it reflects are by nature interdisciplinary. Making the data set available through the ORNL DAAC is an attempt to make the data set available to the considerable interdisciplinary community studying the N cycle.",
"license": "proprietary"
},
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"description": "This data set provides global gridded estimates of atmospheric deposition of total inorganic nitrogen (N), NHx (NH3 and NH4+), and NOy (all oxidized forms of nitrogen other than N2O), in mg N/m2/year, for the years 1860 and 1993 and projections for the year 2050. The data set was generated using a global three-dimensional chemistry-transport model (TM3) with a spatial resolution of 5 degrees longitude by 3.75 degrees latitude (Jeuken et al., 2001; Lelieveld and Dentener, 2000). Nitrogen emissions estimates (Van Aardenne et al., 2001) and projection scenario data (IPCC, 1996; 2000) were used as input to the model.",
"license": "proprietary"
},
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"description": "Global Population of the World (GPW) translates census population data to a latitude-longitude grid so that population data may be used in cross-disciplinary studies. There are three data files with this data set for the reference years 1990 and 1995. Over 127,000 administrative units and population counts were collected and integrated from various sources to create the gridded data. In brief, GPW was created using the following steps: * Population data were estimated for the product reference years, 1990 and 1995, either by the data source or by interpolating or extrapolating the given estimates for other years. * Additional population estimates were created by adjusting the source population data to match UN national population estimates for the reference years. * Borders and coastlines of the spatial data were matched to the Digital Chart of the World where appropriate and lakes from the Digital Chart of the World were added. * The resulting data were then transformed into grids of UN-adjusted and unadjusted population counts for the reference years. * Grids containing the area of administrative boundary data in each cell (net of lakes) were created and used with the count grids to produce population densities.As with any global data set based on multiple data sources, the spatial and attribute precision of GPW is variable. The level of detail and accuracy, both in time and space, vary among the countries for which data were obtained.",
"license": "proprietary"
},
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"description": "The GlobalView Methane (CH4) data product contains synchronized and smoothed time series of atmospheric CH4 concentrations at selected sites that were created using the data extension and integration techniques described by Masarie and Tans (1995). The information needed to derive this time series is also in this data set, along with extensive documentation. The longest period of coverage is from 1984 to 1998 with some sites having shorter or longer temporal coverage. Note that the GlobalView-CH4 data products are derived from measurements but contain no actual data. To facilitate heterogeneous CH4 data use in carbon cycle modeling studies, the measurements have been processed (smoothed, interpolated, and extrapolated) resulting in extended records that are evenly incremented in time. There are 74 files with this data set which includes 71 *.zip data files. The other three files include 2 files with site information, one comma-delimited ASCII file (.csv), and one .dat file, and one .dat file which is a single reference marine boundary layer matrix file containing CH4 mixing ratios as a function of time and sine of latitude and is a by-product of the data extension procedure.",
"license": "proprietary"
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"description": "The Global Precipitation Climatology Project (GPCP) pentad version 1 precipitation data set includes global precipitation rates for 5-day, or pentad, periods. The data sets are derived from measured rain gauge data and merged with satellite estimates of rainfall. This is a portion of the version 1 GPCP pentad data set and covers the ISLSCP II period from 1986 to 1995. The original precipitation rates at 2.5 degrees were re-gridded to a 1 degree spatial resolution by the ISLSCP II staff. ",
"license": "proprietary"
},
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"description": "Net Primary Production (NPP) is an important component of the carbon cycle and, among the pools and fluxes that make up the cycle, it is one of the steps that are most accessible to field measurement. Direct measurement of NPP is not practical for large areas and so models are generally used to study the carbon cycle at a global scale. This data set contains 2 *.zip files for above ground and total NPP data. ",
"license": "proprietary"
},
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"description": "The Global Primary Production Data Initiative (GPPDI) was set up as a Focus 1 activity of the IGBP Data and Information System, a coordinated international program to improve worldwide estimates of terrestrial net primary productivity (NPP) for parameterization, calibration, and validation of NPP models at various scales.The GPPDI data collection contains documented field measurements of NPP for global terrestrial sites compiled from published literature and other extant data sources. The point measurements of NPP were categorized as either Class A, representing intensively studied or well-documented study sites (e.g., with site-specific climate, soils information, etc.), Class B, representing more numerous extensive sites with less documentation and site-specific information available, or Class C, representing regional collections of half-degree latitude-longitude grid cells. This data set in the ISLSCP II collection represents the GPPDI Class B NPP data. The Class B NPP data file contains biomass dynamics, climate, and site-characteristics data georeferenced to each site. There is one ASCII data file with this data set. ",
"license": "proprietary"
},
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"description": "The objective of this work was to construct a long-term data set of daily precipitation on half degree and one degree latitude/longitude grids over the global land areas. The analyses are defined by interpolating station observations from GTS (Global Telecommunications System) gauges using the algorithm of Shepard (1968). The algorithm of Shepard (1968) has been widely used to interpolate gauge observations of monthly, pentad, and daily precipitation (Rudolf 1993, Xie et al. 1996). This algorithm is used to interpolate the irregularly distributed station observations onto grid points. The weighting coefficients are inversely proportional to the gauge-grid point distance and are adjusted by a cosine function taking into account the directional isolation of each gauge relative to all other nearby gauges. There are 6 data files with this data set.",
"license": "proprietary"
},
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"description": "Contains the hydraulic properties of the soil at each tower flux site determined by the HYD-01 science team.",
"license": "proprietary"
},
@@ -228743,7 +231525,7 @@
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"description": "Contains the percent soil moisture by volume data that was collected by the HYD-01 group at the various tower sites.",
"license": "proprietary"
},
@@ -228756,7 +231538,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624035-ORNL_CLOUD.html",
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"description": "Contains the under canopy precipitation data that was collected in 1994, 1995, 1996 and 1997 by the HYD-01 group at the various tower sites.",
"license": "proprietary"
},
@@ -228769,7 +231551,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624150-ORNL_CLOUD.html",
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"description": "Contains HYD-02 snow water equivalent derived from microwave measurements from aircraft.",
"license": "proprietary"
},
@@ -228782,7 +231564,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624300-ORNL_CLOUD.html",
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"description": "The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of canopy density (closure) from a variety of sites. Canopy density measurements were made during the FFC-W and FFC-T 1994 in both the SSA and NSA using a forest densiometer. This study was undertaken to predict spatial distributions of energy transfer, snow properties important to the hydrology, remote sensing signatures, and transmissivity of gases through the snow and their relation to forests in boreal ecosystems. ",
"license": "proprietary"
},
@@ -228795,7 +231577,7 @@
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"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625397-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625397-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624461-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624725-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807624623-ORNL_CLOUD.html",
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"license": "proprietary"
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625013-ORNL_CLOUD.html",
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"license": "proprietary"
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"license": "proprietary"
},
@@ -228899,7 +231681,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625534-ORNL_CLOUD.html",
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"license": "proprietary"
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@@ -228912,7 +231694,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632091-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632091-ORNL_CLOUD.html",
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"description": "This table contains the measurements of water content of the moss/humus layer that were made at various sites on the ground by HYD-06.",
"license": "proprietary"
},
@@ -228925,7 +231707,7 @@
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632236-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"bbox": "-105.12, 53.99, -105.12, 53.99",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632290-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632290-ORNL_CLOUD.html",
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"description": "Contains the HYD-08 weights of the dried moss samples. These weights do not include the weight of the tray in which the sample was contained. Contains the HYD-08 moss measurements of water equivalent made at the moss lysimeter sites near the SSA-OBS in 19",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632345-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632727-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632727-ORNL_CLOUD.html",
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"description": "The BOREAS HYD-09 team collected data on precipitation and streamflow over portions of the NSA and SSA. This data set contains Cartesian maps of rain accumulation for 1-hour and daily periods during the summer of 1994 over the SSA only (not the full view of the radar)",
"license": "proprietary"
},
@@ -228990,7 +231772,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632835-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632835-ORNL_CLOUD.html",
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"license": "proprietary"
},
@@ -229003,7 +231785,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625303-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625303-ORNL_CLOUD.html",
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"license": "proprietary"
},
@@ -229016,7 +231798,7 @@
"bbox": "-106.19, 53.58, -97.82, 55.93",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625118-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625118-ORNL_CLOUD.html",
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"license": "proprietary"
},
@@ -229029,7 +231811,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625820-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807625820-ORNL_CLOUD.html",
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"description": "Contains the HYD-05 flux, and meteorological measurements from Bear Trap Forest, Saskatchewan in the winter of 1994. Contains the HYD-05 flux, meteorological, and infrared thermometer measurements from Namekus Lake, Saskatchewan in the winters of 1994 and",
"license": "proprietary"
},
@@ -229042,7 +231824,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812442887-ORNL_CLOUD.html",
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"description": "Contains the aircraft estimates of soil moisture measured by the gamma ray instrument from HYD06.",
"license": "proprietary"
},
@@ -229055,7 +231837,7 @@
"bbox": "-105.12, 53.99, -98.15, 55.88",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632538-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807632538-ORNL_CLOUD.html",
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"description": "Contains the moss lysimeter measurements made by HYD-08.",
"license": "proprietary"
},
@@ -229068,7 +231850,7 @@
"bbox": "-105.23, 53.69, -98.09, 56.06",
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},
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"description": "The Historical Land Cover and Land Use data set was developed to provide the global change community with historical land use estimates. The data set describes historical land use changes over a 300-year historical period (1700-1990).Testing against historical data is an important step for validating integrated models of global environmental change. Owing to long time lags in the climate and biogeochemical systems, these models should aim to simulate the land use dynamics for long periods, i.e., spanning decades to centuries. Developing such models requires an understanding of past and current trends and is therefore strongly data dependent. For this purpose, a historical database of the global environment has been developed: HYDE. Historical statistical inventories on agricultural land (census data, tax records, land surveys, etc) and different spatial analysis techniques were used to create a geographically-explicit data set of land use change, with a regular time interval. The data set can be used to test integrated models of global change. Continental-scale historical data were used for that period. ",
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"description": "This data set is a subset of a global croplands data set (Ramankutty and Foley 1999a). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The data are in ASCII GRID format at 5-min resolution.Navin Ramankutty and Jonathan Foley, of the Center for Sustainability and the Global Environment (SAGE) at the University of Wisconsin, developed a global, spatially explicit data set of reconstructed historical croplands from 1700 to 1992. The method for historical reconstruction used a simple algorithm that linked contemporary satellite data and historical cropland inventory data. A spatially explicit croplands data set for 1992 was first derived by calibrating a satellite-derived land cover classification data set against cropland inventory data for 1992. This derived data set was then used within a simple land cover change model, along with historical cropland inventory data, to derive spatially explicit maps of historical croplands. The global data set was restricted to a representation of permanent croplands (i.e., excluding shifting cultivation), which follows the Food and Agriculture Organization (FAO) definition of arable lands and permanent crops. Data values represent fraction of grid cell in croplands.Data for the LBA study area are available for the years 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, and 1992. Although the global croplands data set contains data representing croplands since 1700, essentially no croplands were in the LBA study area until 1900. Data from previous years were excluded at the suggestion of the data originator.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/historical_croplands/comp/uwcrop_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
"license": "proprietary"
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"description": "This southern African subset of the Global Hydrographic data set (GGHYDRO) Release 2.2 is organized into 19 files containing terrain type, stream frequency counts, major drainage basins, main features of the cryosphere surface, and ice/water runoff per year for the entire Earth's surface at a spatial resolution of 1-degree longitude by 1-degree latitude. The data are provided in both ASCII GRID and binary image file formats.",
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"description": "The Integrated Biosphere Simulator (or IBIS) is designed to be a comprehensive model of the terrestrial biosphere. Tthe model represents a wide range of processes, including land surface physics, canopy physiology, plant phenology, vegetation dynamics and competition, and carbon and nutrient cycling. The model generates global simulations of the surface water balance (e.g., runoff), the terrestrial carbon balance (e.g., net primary production, net ecosystem exchange, soil carbon, aboveground and belowground litter, and soil CO2 fluxes), and vegetation structure (e.g., biomass, leaf area index, and vegetation composition). IBIS was developed by Center for Sustainability and the Global Environment (SAGE) researchers as a first step toward gaining an improved understanding of global biospheric processes and studying their potential response to human activity [Foley et al. 1996]. IBIS was constructed to explicitly link land surface and hydrological processes, terrestrial biogeochemical cycles, and vegetation dynamics within a single, physically consistent framework. Furthermore, IBIS was one of a new generation of global biosphere models, termed Dynamic Global Vegetation Models (or DGVMs), that consider transient changes in vegetation composition and structure in response to environmental change. Previous global ecosystem models have typically focused on the equilibrium state of vegetation and could not allow vegetation patterns to change over time. Version 2.5 of IBIS includes several major improvements and additions [Kucharik et al. 2000]. SAGE continues to test the performance of the model, assembling a wide range of continental- and global-scale data, including measurements of river discharge, net primary production, vegetation structure, root biomass, soil carbon, litter carbon, and soil CO2 flux. Using these field data and model results for the contemporary biosphere (1965-1994), their evaluation shows that simulated patterns of runoff, NPP, biomass, leaf area index, soil carbon, and total soil CO2 flux agreed reasonably well with measurements that have been compiled from numerous ecosystems. These results also compare favorably to other global model results [Kucharik et al. 2000].",
"license": "proprietary"
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"description": "This data set provides gridded data for selected soil parameters derived from data and methods developed by the Global Soil Data Task, an international collaborative project with the objective of making accurate and appropriate data relating to soil properties accessible to the global change research community. The task was coordinated by the International Geosphere-Biosphere Programme (IGBP-DIS). The data in this data set were produced by the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) staff from data obtained from the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC, http://daac.ornl.gov/). See the related data sets section below. Two-dimensional gridded maps of selected soil parameters, including soil texture, at a 1.0 by 1.0 degree spatial resolution and for two soil depths are provided. All data layers have been adjusted to match the ISLSCP II land/water mask. There are 36 data files with this data set.",
"license": "proprietary"
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"description": "The objective of this study was to determine the spatial variations in field measurements of broadband albedo as related to the ground cover and under a range of solar conditions during the Prototype Validation Exercise (PROVE) at the Jornada Experimental Range in New Mexico on May 20-30, 1997.",
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"description": "Directional reflected radiation was measured over plots representing selected canopy components (shrubs and individual plants, bare sand, and background) at the Jornada Experiment Range site near Las Cruces, New Mexico, during the Prototype Validation Experiment (PROVE) in May 1997.",
"license": "proprietary"
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"description": "Field measurement of shrubland ecological properties is important for both site monitoring and validation of remote-sensing information. During the PROVE exercise on May 20-30, 1997, we calculated plot-level plant area index, leaf area index, total fractional cover, and green fractional cover.",
"license": "proprietary"
},
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"description": "This study utilized low flying, aircraft-based radiometers for optical characterization of top-of-the-canopy reflectance at Jornada Experimental Range in New Mexico during the Prototype Validation Experiment (PROVE) in May 1997. The objective was to examine the usefulness of low-flying aircraft for Moderate Resolution Imaging Spectroradiometer (MODIS) validation of land products.",
"license": "proprietary"
},
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"description": "The data presented here include the aerosol optical thickness (AOT) and column water vapor measurements taken at sites along the Kalahari Transect using a Microtops sunphotometer. Data were collected every 30 minutes at 4 sites that were visited during the SAFARI 2000 Kalahari Wet Season Campaign between March 3, 2000, and March 18, 2000. AOT values are provided at 340-, 440-, 675-, 870-, and 936-nm wavelengths. An estimate of the Angstrom Coefficient is also provided to allow the estimation of AOT at other wavelengths. The purpose of this data collection was primarily for documentation of the conditions at each site and to aid in the correction of remote sensing data, for validation of Earth Observation System (EOS) products such as MODIS and MISR aerosol products, and for modeling of canopy productivity.",
"license": "proprietary"
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"description": "Short-term measurements of carbon dioxide, water, and energy fluxes were collected at four locations along a mean annual precipitation gradient in southern Africa during the SAFARI 2000 wet (growing) season campaign of 2000. The purpose of this research was to determine how observed vegetation-atmosphere exchange properties are functionally related to long-term climatic conditions.",
"license": "proprietary"
},
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"description": "Kruger National Park (KNP) was established in 1898 to protect wildlife on nearly 2 million hectares of the South African Lowveld. Savanna fires are common in the South African Lowveld during the dry season. The two primary sources of fire ignition, historically and currently, are human activity and lightning. This data set contains a record of all fires observed in the Kruger National Park for each of the 10 fire years from 1992 to 2001. The data were compiled from various sources, including old fire records in hardcopy and vector form, as well as satellite imagery.",
"license": "proprietary"
},
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"description": "The goal of this study was to understand the change in reflectance caused by the action of fire and the heterogeneity of fire effects (i.e., the fraction of the observation that burned and the combustion completeness of that observation). A spectral mixture model and field and satellite observations were used to compare changes in Landsat reflectance associated with fire and combustion completeness derived from field measurements at prescribed fire sites in South Africa and to substantiate and illustrate the model findings. The data are stored in a single ASCII file in comma-separate-value format (.csv).",
"license": "proprietary"
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"description": "An eddy covariance system mounted on a tower near the Skukuza Camp in Kruger National Park, South Africa, has been operating continuously since early 2000. Meteorological measurements started in February 2000, and the first flux measurements were made in April 2000. The site is unique in that the micrometeorological instruments are positioned on a tower located between two distinct savanna types, a broad-leafed Combretum savanna and a fine-leafed Acacia savanna. Measurements on the main eddy covariance tower include net ecosystem exchange of CO2, water, and energy, and measurements of a range of meteorological variables with 30-minute averaging period.",
"license": "proprietary"
},
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"description": "This data set contains leaf area index (LAI), leaf inclination angle, and canopy dimension data from study sites along the Kalahari Transect in southwest Botswana. The data were collected during the 2001 wet season field campaign of the SAFARI 2000 at a total of seven plots of 200 x 150 meter dimensions: two plots each at Tshane and Mabuasehube and three plots at Tsabong. The data set consists of measurements of leaf angle for plot dominant woody species, LAI calculated from overstory and understory photosynthetically active radiation (PAR) measurements, and canopy dimension data (i.e., crown height, crown width, and height to crown) for grass and woody vegetation for use in the parameterization of plant canopy reflectance models. The data files are stored as ASCII table files, in comma-separated-value (.csv) format, with column headers. Photographs (.jpg) are provided of each plot to provide an idea of site conditions. The photographs can be viewed on the S2K Photo Gallery pages.",
"license": "proprietary"
},
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"description": "This data set contains Global Positioning System (GPS) imprinted landscape photographs at 100-m intervals along the Large Grid Transects at Kalahari Transect sites in Botswana and at measurement sites in Kataba Forest, Mongu, Zambia, and in the vicinity of the Skukuza flux tower site in Kruger National Park, South Africa. The Kalahari sites visited were Pandamatenga, Maun, Okwa Valley, and Tshane. There are about 30 pictures per site. In a related study, vegetation cover and composition were measured at various locations along the Kalahari Transect and trends in major vegetative cover, including species types and richness, were recorded (Ringrose and Matheson, 2004). The photographs are intended to aid in the interpretation of other data sets, and can be used to suggest canopy height, gap fraction, grass, soil, and sky conditions. The photographs are provided as JPEG images.",
"license": "proprietary"
},
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"description": "The Boston University team collected several data sets along the Kalahari Transect during the SAFARI 2000 wet season field campaign from March 3rd to March 18th, 2000, to support the validation of the MODIS LAI/FPAR algorithm. Ground measurements of LAI, FPAR, leaf hemispherical reflectance, leaf hemispherical transmittance, and canopy transmittance were made using a LAI-2000 plant canopy analyzer, an AccuPAR ceptometer, a LiCor 1800-12S External Integrating Sphere (LI-1800) portable spectroradiometer, and an ASD handheld spectroradiometer. LAI data are provided in this data set. LAI was intensively measured at 4 different sites in Botswana -- Pandamatenga, Maun, Okwa River, and Tshane (from north to south) -- where vegetation types range from moist closed woodlands to arid sparsely-shrub-covered grasslands.",
"license": "proprietary"
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"description": "Data from the Tracing Radiation and Architecture of Canopies (TRAC) instrument were collected at five sites along the International Geosphere-Biosphere Programme (IGBP) Kalahari Transect, including Mongu in Zambia and Pandamatenga, Maun, Okwa River Crossing, and Tshane in Botswana, during the 2000 wet season field campaign (March-April) of SAFARI 2000. At the Mongu site, TRAC measurements began in August of 1999 and continued beyond the 2000 wet season field campaign, about every month for the rest of 2000. The TRAC instrument contains pyranometers that are sensitive to photosynthetically active radiation (PAR) at 400-700 nm. The TRAC measures the PAR flux transmitted through the overstory canopy continuously at 32 Hz. The parameters derived from the TRAC instrument include estimates of plant or leaf area index (PAI, LAI), overstory gap fraction, and clumping index.",
"license": "proprietary"
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"description": "Data presented in this data set were collected during an intensive field campaign in Botswana between February 28 and March 18, 2000 along the Kalahari Transect as part of the SAFARI 2000 wet season field campaign. The sites visited were Pandamatenga, Maun, Okwa River Crossing, and Tshane (north to south). Individual leaf blade measurements were made on replicate samples from selected dominant and subdominant tree species using an optical lens and graticule. Leaves used in the study had recently-matured new growth and were fully exposed to the sun for a significant part of the day. The data set comprises individual leaf blade dimensions along the length and width of each leaf by tree species as well as the mean of the replicate leaf length and width samples. The data are in comma-delimited ASCII format (kt_leaf_dimensions.csv).",
"license": "proprietary"
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"description": "The Boston University team collected several data sets along the Kalahari Transect during the SAFARI 2000 wet season field campaign between March 3 and March 18, 2000, to support the validation of the MODIS LAI/FPAR algorithm. Ground measurements of LAI, FPAR, leaf hemispherical reflectance and transmittance, and canopy transmittance were made using a LAI-2000 plant canopy analyzer, an AccuPAR ceptometer, a LiCor 1800-12S External Integrating Sphere (LI-1800) portable spectroradiometer, and an ASD handheld spectroradiometer. Leaf spectral data are provided in this data set. Leaf spectral measurements were made on samples from dominant tree, shrub, and grass species at 5 different Kalahari Transect sites - Mongu in Zambia and Pandamatenga, Maun, Okwa River, and Tshane in Botswana (from north to south)- where vegetation ranges from moist closed woodlands to arid sparsely-shrub-covered grasslands.",
"license": "proprietary"
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"description": "This data set was collected during February-March 2000 wet season and September 2000 dry season field campaigns of SAFARI 2000. Mongu in Zambia and Pandematenga (aka Kasane) and Tshane in Botswana were visited during the wet season campaign. Dry season data are for Mongu only. Hemispherical photographs, from which Plant Area Index (PAI) estimates are derived, were obtained at the field sites to characterize vegetation structural changes along the Kalahari Transect. The photographs are classified into sky and vegetation (trunk, green and senescent leaves, and branches) using an unsupervised classification scheme.",
"license": "proprietary"
},
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"description": "Ceptometer data from a Decagon AccuPAR (Model PAR-80) were collected at four sites in Botswana during the SAFARI 2000 Kalahari Transect Wet Season Campaign (March, 2000). These sites include Maun, Pandamentanga, Ghanzi/Okwa River Crossing, and Tshane. The measurements were taken near stake flags placed at 25 m intervals along three parallel 750 m transects located 250 m apart. The ceptometer contains 80 photosynthetically active radiation (PAR) sensors fixed at 1 cm intervals along a wand and connected to a control box. The sampling protocol followed in general was to first measure above canopy incident PAR, then canopy reflected PAR, then above canopy incident PAR again, and finally, canopy transmitted PAR. The data can be used to compute fraction of photosynthetically active radiation (FPAR), intercepted PAR, leaf area index (LAI), and gap fraction. These data currently exist in raw format, but can be processed using manufacturer-provided software to estimate the derived products.The data are stored as ASCII files, in csv format, organized by site, with one file per transect. Incident, transmitted, and reflected PAR radiation values for a transect and site are in the same file. The type of measurement for each data point is known due to comments in the data files. For the Maun and Pandamatenga sites, there is an additional file containing above canopy PAR irradiance. The PAR data units are micromols m-2 s-1, and the time is in Local Time. There is also a readme file, in txt format, for each site.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789098245-ORNL_CLOUD.html",
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"description": "This data set provides species distribution, basal area, height, and crown cover of woody stems at 10 sites along the Kalahari Transect where a large gradient in both the mean and variation of annual rainfall results in dramatic changes in vegetation structure. Some of the data were collected during earlier Kalahari Transect projects in 1995 and 1997 at Vastrap, South Africa; Sandveld and Sachinga, Namibia; and Maziba, Senanga, and Lukulu, Zambia. The rest of the data were collected at Mongu, Zambia; and Pandamatenga, Maun, and Tshane, Botswana during the February-March 2000 wet season field campaign of SAFARI 2000. Stem maps were generated at each site using a variable-width belt-transect approach. Tree location, species, diameter, height, and major and minor axis of crown dimensions were measured for each individual taller than 1.5 meters. For multi-stemmed individuals, the diameter of each stem was recorded separately. Canopy area was calculated to be an ellipse defined by the two major axes of measurement. Canopy height was estimated using a clinometer. Biomass was calculated following Goodman (1990) as modified by Dowty (1999).There are two ASCII data files, in comma-delimited format. The stem map file contains records of living, dead, and cut stem allometry, canopy geometry, and biomass at the SAFARI sites. The species list file provides plant family, genus, and species names, numerical codes that correspond to the stem map file, and species common names in English and AFRICAANS.",
"license": "proprietary"
},
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"description": "Vegetation cover and composition, including species types and richness assessments, were measured at four locations along the Kalahari Transect in Botswana (Pandamatenga, Maun, Okwa River, and Tshane) during the SAFARI 2000 wet season field campaign. The sites visited showed interesting degrees of variability despite the apparent homogeneity of the Kalahari sands and predominantly semi-arid savanna shrub-woodlands vegetation cover (Ringrose et al., 2003).At each site, twelve individual locations were chosen by random stratified techniques within a 30-km radius at each location, based on differences in topography, soils, and known disturbance, to help determine local variability (Huennecke et al., 2001). Data collection methods were identical at each location (Ringrose et al., 1996; 1998): (1) identification and enumeration of all species along 3 x 90-m transects, spaced 45-m apart; (2) visual estimation (tape measure and pacing) of canopy diameter along each transect; and (3) visual estimation of percent live and dead herbaceous cover, litter, and bare soil using 3 x 50 m2 quadrats spaced at 30-m intervals along each transect. In addition, vegetation components were calculated for each site comprising woody vegetation cover, green herbaceous cover in terms of grass and forbs, dead herbaceous cover, plant litter, and bare soil. Species richness was calculated as the actual number of species per three transects (270 m2) at each site (Kent and Coker, 1996).The data set consists of two data files (ASCII tables) in comma-delimited format (.csv) with descriptive header records. ",
"license": "proprietary"
},
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"description": "This data set contains species composition, basal area, height, and crown cover of all woody plants at six sites along the Kalahari Transect visited in February-March of 2000 as part of SAFARI 2000. Similar measurements on woody and herbaceous vegetation at the Skukuza Flux Tower site in Kruger National Park, South Africa, were made in June of 2000. Leaf area index was derived from measurements made using PAR sensors at each site.Sampling protocol was the same at each site, with a slight variation at Skukuza. A grid of 42 points, 6 rows of 7 columns, each 50 m apart, was laid down in an area 300 m x 350 m for the Kalahari Transect sites. At Skukuza, the grid was 7x7, or 350 m x 350 m, centered on the tower site, yielding 49 points. At each grid point, all woody plants within a circular plot of a fixed radius were identified and measured. Stem circumference was measured on all stems and basal area per stem was derived. Basal area for the circular plots, per species, was calculated and extrapolated to hectares. Tree and stem densities were determined from the number of trees and stems in subplots and extrapolated to hectares. Woody plant height and canopy cover were determined, and aboveground woody biomass and peak leaf area index were estimated. The files are in comma-delimited ASCII format, with the first line listing the data set, author, and date, followed by the data records.",
"license": "proprietary"
},
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"description": "LAI estimates computed from unweighted openness by the CANOPY program from digitized canopy photographs",
"license": "proprietary"
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"description": "This data set consists of a southern African subset of the 1-km Global Land Cover Data Set Derived from AVHRR developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. Both ASCII data and binary image files are available.",
"license": "proprietary"
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"description": "This data set consists of a subset of a 1-degree global land cover product (DeFries and Townshend 1994). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The data are in ASCII GRID format.",
"license": "proprietary"
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"description": "This data set is a subset of Hansen et al. (1999), \"1 km Global Land Cover Data Set Derived from AVHRR,\" which was developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10 N to 25 S, longitude 30 to 85 W). The data are in ASCII GRID file format.In recent years, researchers have increasingly turned to remotely sensed data to improve the accuracy of data sets that describe the geographic distribution of land cover at regional and global scales. To develop improved methodologies for global land cover classifications as well as to provide global land cover products for immediate use in global change research, LGRSS researchers have employed the NASA/NOAA Pathfinder AVHRR Land (PAL) data set with a spatial resolution of 1 km. The PAL data set has a record length of 14 years (1981-1994), providing the ability to test the stability of classification algorithms. The PAL data set includes red, infrared, and thermal bands in addition to the Normalized Difference Vegetation Index (NDVI). Inclusion of these additional bands improves discrimination between cover types. The LGRSS researchers' aim was to develop and validate global land cover data sets and to develop advanced methodologies for more realistically describing the vegetative land surface based on satellite data.The 1-km global land cover product was created from 1992-1993 local area coverage (LAC) AVHRR data. The global land cover product is available for download from the University of Maryland's Global Land Cover Facility (GLCF) Web site (http://glcf.umiacs.umd.edu/data/landcover/index.shtml). Forty-one metrics were developed to describe global vegetation phenology, and these data were used to make the 1-km land cover map. The final product contains 13 land cover classes.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/land_cover_data_1km/comp/glcf1km_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
"license": "proprietary"
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"description": "This data set is a subset of an 8-km global land cover product (DeFries et al. 1998). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10 N to 25 S, longitude 30 to 85 W). The data are in ASCII GRID file format.To develop improved methodologies for global land cover classifications as well as to provide global land cover products for immediate use in global change research, researchers at the Laboratory for Global Remote Sensing Studies at the University of Maryland employed the NASA/NOAA Pathfinder AVHRR Land (PAL) data set with a spatial resolution of 8 km. The PAL data set has a length of record of 14 years (1981-1994), providing the ability to test the stability of classification algorithms. Furthermore, the data set includes red, infrared, and thermal bands in addition to the Normalized Difference Vegetation Index (NDVI). Inclusion of these additional bands improves discrimination between cover types. The project's aim was to develop and validate global land cover data sets and to develop advanced methodologies for more realistically describing the vegetative land surface based on satellite data.The global land cover product (Defries et al. 1998) was derived by testing several metrics that describe the temporal dynamics of vegetation over an annual cycle. These metrics were applied to 1984 PAL data at 8-km resolution to derive a global land cover classification product using a decision tree classifier. The final product contains 13 land cover classes. The original 8-km global land cover product is available for download from the University of Maryland's Global Land Cover Facility (GLCF) Web site (http://glcf.umiacs.umd.edu/data/landcover/index.shtml). Additional information and references on this data set can be found at the GLCF Web site, as well as at the LGRSS Web site (http://www.geog.umd.edu/LGRSS/intro.html). More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/comp/land_cover_data_8km/glcf8km_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
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},
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"description": "Improved vegetation distribution and emission data for Africa south of the equator were developed for the Southern African Regional Science Initiative (SAFARI 2000) and combined with biogenic volatile organic compound (BVOC) emission measurements to estimate BVOC emissions for the southern African region. BVOC emissions were estimated for southern Africa on a monthly basis over a one-year period by combining GIS layers of vegetation, LAI, and climate with a biogenic emissions model, GLOBEIS (Guenther et al, 1993; Guenther, 1999).",
"license": "proprietary"
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"license": "proprietary"
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"description": "This data set is a subset of a global database compiled by Matthews and Fung (1987) on the distribution and environmental characteristics of natural wetlands. The global database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America.",
"license": "proprietary"
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"description": "The data set consists of a subset of the ISRIC-WISE global data set of derived soil properties for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 to 30 degrees W, latitude 25 degrees S to 10 degrees N). More information about LBA and links to other LBA project sites can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
"license": "proprietary"
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"description": "This data set is a subset of the 1-km global tree cover data set (DeFries et al. 1999) developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The data are in ASCII GRID format.",
"license": "proprietary"
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"description": "Biogenic volatile organic compounds (VOCs) comprise a significant proportion of trace gases in the atmospheric environment and play an important role in the formation of secondary air pollutants. Emissions of monoterpenes from vegetation were studied at adjacent sites in Botswana as part of the SAFARI 2000 (Southern African Regional Science Initiative). Using a LI-COR leaf cuvette, VOC emissions were measured from the dominant tree species (Colophospermum mopane) and other vegetation near Maun, Botswana.",
"license": "proprietary"
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"description": "Carbon and nitrogen concentrations of fresh forest foliage were determined. Results were used to calibrate Visible/NIR reflectance for estimation of canopy carbon and nitrogen.",
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"description": "Visible/NIR reflectance spectra data for both fresh and dry leaf samples were collected to determine the relationship of foliar chemical concentrations with reflectance.",
"license": "proprietary"
},
@@ -232279,7 +235061,7 @@
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"description": "This data set is a subset of Cramer and Leemans' (2001) global database of mean monthly climatology, which contains monthly averages of mean temperature, temperature range, precipitation, rain days, and sunshine hours for terrestrial areas during 1931-1960. This subset was created for the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10 N to 25 S, longitude 30 to 85 W). The data are presented at 0.5-degree latitude/longitude resolution in ASCII GRID file format. Cramer and Leemans (2001, Version 2.1) constituted a major update of an earlier database, Leemans and Cramer (1991). The new version was generated from a larger database by means of the partial thin-plate splining algorithm developed by Michael F. Hutchinson, Canberra (Hutchinson and Bischof 1983). Version 2.1 has been used widely, notably by all groups participating in the International Geosphere-Biosphere Programme's Net Primary Productivity (NPP) model intercomparison (Olsen et al. 2001).More information about the data can be found at ftp://daac.ornl.gov/data/lba/physical_climate/leemans_cramer/comp/cramer_lmns_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
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"description": " The Legal Amazon of Brazil is defined by law to include the states of Acre, Amapa, Amazonas, Para, Rondonia, Roraima, Mato Grosso, Maranhao, and Tocantins [Fundacao Instituto Brasileiro de Geografia e Estatistica (IBGE) 1991]. This is the definition used in generating the Legal Amazon mask. The 8-km Legal Amazon mask was generated by Christopher Potter at the Ecosystem Science and Technology Branch of the Earth Science Division at NASA Ames Research Center (Potter and Brooks-Genovese 1999). The mask was generated from the Digital Chart of the World available from Environmental Systems Research Institute, Inc. (ESRI). The mask is available in ASCII GRID format. The README file accompanying the mask has more information regarding data format. More information can be found at ftp://daac.ornl.gov/data/lba/human_dimensions/legal_amazon_mask/comp/legamazon_readme.pdf.",
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"description": "The Atmospheric Tracer Transport Model Intercomparison Project (TransCom) was created to quantify and diagnose the uncertainty in inversion calculations of the global carbon budget that results from errors in simulated atmospheric transport, the choice of measured atmospheric carbon dioxide data used, and the inversion methodology employed. Under the third phase of TransCom (TransCom 3), surface-atmosphere CO2 fluxes were estimated from an intercomparison of 16 different atmospheric tracer transport models and model variants in order to assess the contribution of uncertainties in transport to the uncertainties in flux estimates for annual mean, seasonal cycle, and interannual inversions (referred to as Level 1, 2, and 3 experiments, respectively).This data set provides the model output and inversion results for the TransCom 3, Level I annual mean inversion experiments. Annual mean CO2 concentration data (GLOBALVIEW-CO2, 2000) were used to estimate CO2 sources. The annual average fluxes were estimated for the 1992-1996 period using each of the 16 transport models and a common inversion set-up (Gurney et al., 2002). Methodological choices for this control inversion were selected on the basis of knowledge gained from a wide range of sensitivity tests (Law et al., 2003). Gurney et al. (2003) present results from the control inversion for individual models as well as results from a number of sensitivity tests related to the specification of prior flux information. Additional information about the experimental protocol and results is provided in the companion files and the TransCom project web site (http://www.purdue.edu/transcom/index.php).The results of the Level 1 experiments presented here are grouped into two broad categories: forward simulation fields and response functions (model output) and estimated fluxes (inversion results).",
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"description": "This data set provides model outputs and seasonal mean CO2 fluxes from the Atmospheric Carbon Cycle Inversion Intercomparison (TransCom 3), Level 2 inversion experiment. Inversion methods can be used to estimate surface CO2 fluxes from atmospheric CO2 concentration measurements, given an atmospheric transport model to relate the two. This Level 2 experiment inverted for the spatial and temporal pattern of the residual CO2 sources and sinks. There were 12 atmospheric tracer transport models utilized in this experiment. The data inverted were mean CO2 concentration data from 75 sites from the GLOBALVIEW-CO2 2000 data set for the period 1992-1996. The seasonal inversion consists of a 3 year forward simulation (365 days per year) containing 4 presubtracted tracers, 11 SF6 tracers, and 22 CO2 tracers (11 terrestrial, 11 oceanic) (Gurney et al., 2000). Carbon fluxes were estimated for each month of an average year determined as the mean of the 1990-1996 time period from an intercomparison of 12 different atmospheric tracer transport models. This data set provides input data, model output data,the cyclo inversion code, a basis function map, and estimated fluxes.",
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"description": "The results of published and unpublished experiments investigating the impacts of elevated carbon dioxide on the chemistry (nitrogen and lignin concentration) of leaf litter and the decomposition of plant tissues are assembled in a format appropriate for statistical meta-analysis of the effect of carbon dioxide.",
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"description": "For BOREAS, the level-3A Landsat TM data, along with the other remotely sensed images, were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed land cover, and biophysical parameter maps such as fPAR and LAI. Geographically, the level-3a images cover the BOREAS NSA and SSA. Temporally, the images cover the period of 22-Jun-1984 to 30-Jul-1996. The images are available in binary, image-format files.",
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"description": "For BOREAS, the level-3b Landsat TM data, along with the other remotely sensed images, were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed land cover, and biophysical parameter maps such as FPAR and LAI. Geographically, the level-3b images cover the BOREAS NSA and SSA. Temporally, the images cover the period of 22-Jun-1984 to 30-Jul-1996.",
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"description": "The objective of this classification is to provide BOREAS investigators with a data product that characterizes the land cover of the SSA. A Landsat-5 TM image from 02-Sep-1994 was used to derive the classification. A technique was implemented that uses reflectances of various land cover types along with a geometric optical canopy model to produce spectral trajectories. These trajectories are used as training data to classify the image into the different land cover classes.",
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"license": "proprietary"
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"license": "proprietary"
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"description": "To investigate potential contributions of savanna ecosystems to the Earth's carbon balance, an eddy covariance system was used to measure the seasonal variation in carbon dioxide, water vapor, and energy flux at the Maun micrometerological tower site in a broadleaf semi-arid savanna in Southern Africa, approximately 20 km east of Maun in northeastern Botswana.",
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"description": "The University of Wyoming has a series of balloonborne radiosonde measurements from all around the world, from the surface to 30 km. This data set contains upper air meteorological profiles from 594 radiosonde launches deployed from sites in South Africa. These sonde launches were made to augment the regional sounding network in the region during the SAFARI 2000 Dry Season Campaign of 2000.Vaisala RS80 sondes were launched from nine sites in South Africa between August 1, 2000 and September 30, 2000. The launch sites were Pietersburg (changed to Polokwane after 2000), Pretoria (Irene), Bethlehem, Springbok, De Aar, Durban, Cape Town, Port Elizabeth, and Gough Island. The parameters measured by the radiosonde instruments include: pressure, air temperature, relative humidity, wind speed, and wind direction.",
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"description": "Meteorology data collected on an hourly basis from stations located near the OTTER sites in 1990 and summarized to monthly data--see also: Canopy Chemistry (OTTER)",
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"description": "Two Micro-Pulse Lidar (MPL) systems were deployed to Africa for the SAFARI 2000 experiment. One MPL was set up in Mongu, Zambia, and the other was set up in Skukuza, South Africa. The primary focus of MPL work during SAFARI was to study the vertical distribution and optical properties of smoke from biomass burning in the region.",
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"description": "Steve Running's Forest-BGC Model (v.1991)",
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"description": "This data set contains modeled annual net primary production (NPP) for the land biosphere from seventeen different global models. Annual NPP is defined as the net difference of annual carbon uptake (grams CO2/m2/yr) from the atmosphere through photosynthesis by the land vegetation and that lost back to the atmosphere through autotrophic and maintenance respiration. NPP is also related to the Net Ecosystem Exchange (NEE) of carbon accumulated by or lost from the surface by its vegetation and soils. NPP is NEE plus heterotrophic (decomposition) respiration of the vegetation and soils. Only NPP values are included in this data set as some models did not estimate NEE. Data for the mean, standard deviation and coefficient of variation of NPP for the 17 models are provided at spatial resolutions of 1.0 degree and 0.5 degrees. There are two compressed (*.zip) data files with this data set.",
"license": "proprietary"
},
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"description": "The subset of the MODIS MOD04_L2 aerosol product provided in this data set represents the swaths that coincide with known times of the South African Weather Bureau/Service (SAWS) Aerocommanders JRA and JRB research aircraft missions to support aerosol research and validation activities for the SAFARI 2000 region. The MODIS aerosol product monitors the ambient aerosol optical thickness over the oceans globally and over a portion of the continents. Further, the aerosol size distribution is derived over the oceans, and the aerosol type is derived over the continents. Daily Level 2 data are produced at the spatial resolution of a 10 x 10 1 km (at nadir) pixel array. The daily data files cover the period August 21, 2000, through September 26, 2000. For some data collection dates, there are two or more data files.The MOD04_L2 swath data files included in this data set are from the GSFC DAAC (V4.1.0, Collection 004). The MODIS Level 2 data files were converted from Hierarchical Data Format (HDF) to granule tables (GRANT) format. The GRANT format provides the extracted Scientific Data Set (SDS) in ASCII table form where each pixel (x,y) is represented as a row of data with georeferencing information and each SDS is provided as a separate column in the table. The ASCII tables are in comma-delimited format.",
"license": "proprietary"
},
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"description": "The MODIS precipitable water product consists of vertical column water-vapor amounts in centimeters (cm) at 1 km spatial resolution. The SAFARI 2000 product, provided in flat binary data files, is a subset of the official MODIS Level 2 MOD05 product in EOS Hierarchical Data Format (HDF) format. Specifically, the SAFARI product contains data from daytime-only MODIS granules over southern Africa for the period August 21, 2000, through September 20, 2000. A granule is the data collected over the full MODIS swath in a five-minute period. Further, the SAFARI product contains values generated by the MODIS near-infrared algorithm applied over clear land areas only (determined via the QA bit field). All values were derived from MODIS on the morning-pass Terra satellite. The product is very sensitive to boundary-layer water vapor since it is derived from attenuation of reflected solar light from the surface. This data product is essential to understanding the hydrological cycle, aerosol properties, aerosol-cloud interactions, energy budget, and climate.The MOD05 water vapor data files were converted from their original HDF format to flat binary files for this SAFARI 2000 data set. The conversion was performed using code developed in the Interactive Data Language (IDL) Version 5.5. The following Scientific Data Sets (SDS) are provided in this data set: Latitude; Longitude; Sensor_Zenith; and Water_Vapor_Near_Infrared.",
"license": "proprietary"
},
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"description": "This data set, ISLSCP II Snow-Free, Spatially Complete, 16 Day Albedo, 2002, contains 9 files for snow-free, spatially complete 16-day global black-sky albedos at local solar noon, white-sky albedos and quality information based on MODerate Resolution Imaging Spectroradiometer (MODIS) Collection 4 Albedo Products (MOD43B3). Data are provided for 7 spectral bands and 3 broad bands for a full year of MODIS data (2002). An ecosystem-dependent temporal interpolation technique was developed to fill any missing or seasonally snow-covered data in the official MOD43B3 albedo product. The resulting data set maintains the original resolution and data of the MOD43B3 product while replacing fill values to provide snow-free spatially complete maps.",
"license": "proprietary"
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"description": "This International Satellite Land Surface Climatology Project (ISLSCP II) MODerate resolution Image Spectroradiometer (MODIS) dataset, ISLSCP II MODIS (Collection 4) Albedo 2002, provides albedo data for the period January 2002 through December 2002.The MODIS bidirectional reflectance distribution function (BRDF) albedo product (MOD43B) provides measures of clear sky surface albedo every 16 days. Both white-sky albedo (bihemispherical reflectance) and black-sky albedo (directional hemispherical reflectance) at local solar noon are provided for 7 spectral bands and 3 broadbands. Since black-sky albedo represents the direct beam contribution while white-sky represents the completely diffuse contribution, these measures can be linearly combined as a function of the fraction of diffuse skylight (itself a function of optical depth) to provide an actual or instantaneous albedo at local solar noon.",
"license": "proprietary"
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"description": "These data relate to a paper (Morisette et al., 2005) that describes the use of high spatial resolution ASTER data to determine the accuracy of the moderate resolution MODIS active fire product. Our main objective was to develop a methodology to use ASTER data for quantitative evaluation of the MODIS active fire product and to apply it to fires in Southern Africa during the 2001 burning season. We utilize 18 ASTER scenes distributed throughout Southern Africa covering the time period 5 August 2001 to 6 October 2001. ",
"license": "proprietary"
},
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"description": "The SAFARI 2000 project was selected as the first regional test for a prototype regional 500 m MODIS burned area product. The MODIS burned area product maps the 500 m location and approximate day of burning using a change detection algorithm based on a bi-directional reflectance model-based expectation method applied to the MODIS near-infrared and shortwave infrared bands (Roy et al., 2002). The algorithm was applied to recently reprocessed 500 m daily MODIS land surface reflectance data to produce burned area data sets for all of southern Africa for 2000 forward. This archived data set contains MODIS 500 m burned area products for two dry season months (July and September 2000).Burned area products are spatially explicit data sets that describe the approximate day of burning at 500 m resolution for all of southern Africa south of the Equator, including Madagascar. The burned area maps are compressed GeoTiff files. Several text files are included in the compressed files to aid ENVI (Research Systems, Inc.) users, including ENVI header files and ENVI density slice files. The data set also includes a projection parameters file.The MODIS burned area data set was validated using a methodology based upon the interpretation of multitemporal Landsat Enhanced Thematic Mapper plus (ETM+) data as described in Roy et al. (in press).",
"license": "proprietary"
},
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"description": "A physically-based model, Energy: Surface Towards Atmosphere (ESTA), was used to model and map the energy and water balances of a heterogeneous land surface in a savanna environment on the southern fringe of the Okavango Delta, near Maun, Botswana. ESTA is governed by remotely sensed values of surface temperature, reflection, and vegetation density. Surface reflectance data from the MODIS sensor aboard the Terra satellite were obtained for the Okavango Delta region for September of 2001.",
"license": "proprietary"
},
@@ -234424,7 +237206,7 @@
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"description": "The Filled Land Surface Albedo Product for Southern Africa, which is generated from MOD43B3 Product (the official Terra/MODIS-derived Land Surface Albedo - http://geography.bu.edu/brdf/userguide/albedo.html ), is a subset of the global data set of spatially complete albedo maps computed for both white-sky and black-sky at 10 wavelengths (0.47mm, 0.55mm, 0.67mm, 0.86mm, 1.24mm, 1.64mm, 2.1mm, and broadband 0.3-0.7mm, 0.3-5.0mm, and 0.7-5.0mm). An exception is that no 2.1mm data for black-sky is being archived at this time. The data spatial extent is from approximately 5 degrees N to -30 degrees S latitude and 5 minutes E to 60 degrees E longitude and covers 7 sixteen day periods starting on July 11 through October 15, 2000.Map Products, containing spatially complete land surface albedo data, are generated at 1-minute resolution on an equal-angle grid. The maps are stored in separate HDF files for each wavelength, each 16-day period and each albedo type (white- and black-sky). Data belonging to black sky and white sky albedo have been zipped separately. This format allows the user to have flexibility to download and store only the data absolutely needed.The One-Minute Land Ecosystem Classification Product is a global (static map) data set of the International Geosphere-Biosphere Programme (IGBP) classification scheme stored on an equal-angle rectangular grid at 1-minute resolution. The dataset is generated from the official MODIS land ecosystem classification dataset, MOD12Q1 for year 2000, day 289 data (October 15, 2000). This dataset is used in generating the spatially complete albedo maps, but is also a stand-alone product designed for use by the user community. The Land Ecosystem Classification Map File product file is stored in Hierarchical Data Format (HDF).",
"license": "proprietary"
},
@@ -234437,7 +237219,7 @@
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"description": "This data set, ISLSCP II MODIS (Collection 4) IGBP Land Cover, 2000-2001, contains global land cover classifications (dominant type, classification confidence and fractional cover) generated using a full year of MODerate Resolution Imaging Spectroradiometer (MODIS) data covering the period from October 2000 to October 2001. The objective of the MODIS Land Cover Product is to provide a suite of land cover types useful to global system science modelers by exploiting the information content of MODIS data in the spectral, temporal, spatial, and directional domains. These products describe the geographic distribution of the 17 land cover classification scheme proposed by the International Geosphere-Biosphere Programme (IGBP).",
"license": "proprietary"
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"description": "This data set contains daily rainfall totals (mm) from Mongu, in the Western Province of Zambia. The data were collected with a British standard 5 inch diameter rain gauge in a yard 30 m away from the Meteorological Department building near the Mongu Airport (north of downtown and approximately 20 km from the Kataba Local Forest where the permanent 30 m Mongu tower site is located). Rainfall readings were taken by ZMD staff each morning at 06:00 GMT. These data form the official government rainfall record for Mongu.The data files consist of 3 files, one for each year (July to Jun). Each files contains monthly columns with totals for each day of the month as well as a monthly total. The data files are stored as ASCII text files in comma-separated-value (csv) format.",
"license": "proprietary"
},
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"description": "Data from the Tracing Architecture and Radiation of Canopies (TRAC) instrument were processed to determine the fraction of intercepted photosynthetically active radiation (FPAR) at the EOS Validation Core Site in Kataba Local Forest, approximately 20 km south of Mongu, Zambia. Measurements began in 1999 and continued into 2002, with measurements collected about every month. TRAC contains three pyranometers sensitive to PAR wavelengths, with two sensors upward looking and one downward looking. The TRAC instrument was carried along three parallel transects, each 750 m long and spaced 250 m apart, about 0.7 m off the ground on clear days near midday. The sensors measured PAR at 32 Hz, resulting in a horizontal sampling interval of about 1.7 cm (Privette et al., 2002). Each transect was divided into 25 m segments, and Fpar values, with date/time stamp, are reported for each segment. The length and spacing of the transects were chosen to sample an area large enough to be representative of a 1 km MODIS pixel. PAR transmittance values were determined from the upward viewing pyranometers on the TRAC instrument. Due to the large gaps in the canopy, incident PAR was estimated from the TRAC data as 95% of the maximum PAR transmittance value for each transect. The FPAR values of all the observations were averaged to give segment-average FPAR, and segment average FPAR values were averaged to give transect-average FPAR.The data file is stored as an ASCII text file, in comma-separated-value (csv) format, with column headers.",
"license": "proprietary"
},
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"description": "This data set contains the top-of-canopy irradiance in the shortwave (0.3-2.8 micron) and photosynthetically active radiation (PAR; 0.4-0.7 micron) wavebands collected with an Eppley Precision Spectral Pyranometer (PSP) and a Skye SKE510 pyranometer, respectively. The instruments were deployed at the top of the 30-m tower in the Kataba Local Forest approximately 20 km south of Mongu in Western Province, Zambia. The data include the hourly mean and maximum values from 0500-1600 GMT (7 a.m. - 6 p.m. local time) and cover the period from September 4, 2000 to December 31, 2002. The data were obtained primarily for EOS validation and energy budget modeling.The Skye SKE510 uses a blue enhanced planar diffused silicon detector and has a fairly even response from 400 to 700 nm. The Eppley PSP is a World Meteorological Organization First Class Radiometer designed for the measurement of sun and sky radiation, totally or in defined broad wavelength bands. It comprises a circular multi-junction wire-wound thermopile. A data logger sampled the sensors at 60-second intervals and recorded the maximum and mean values every 60 minutes throughout the day.The data are contained within a single ASCII text file, in comma-separated-value format, with associated date, time, and QA information.",
"license": "proprietary"
},
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"description": "Data from the LAI-2000 instrument were processed to determine the leaf area index (LAI) at the EOS Validation Core Site in Kataba Local Forest, approximately 20 km south of Mongu, Zambia. Measurements began in 2000 and continued into 2002, with measurements collected about every month throughout the growing season to examine the phenology of LAI for the site. The LAI-2000 measures the intensity of blue light in five upward-looking concentric conical rings. Measurements are made under the forest canopy and compared with open-sky measurements to determine transmittance for each of the five viewing angles. The sensor head was placed at ground level while the sensors measured light levels in conical scans. Effective leaf area was calculated from the transmittance in the different view angles based on the assumption of a random distribution of leaves (Welles and Norman, 1991).The LAI-2000 was carried along three parallel transects, each 750 m long and spaced 250 m apart. Each transect was divided into 25 m segments, and measurements were collected at the endpoints of each segment. Data from all transects were combined to provide site-average LAI for each sampling date. The length and spacing of the transects were chosen to sample an area large enough to be representative of a 1 km MODIS pixel. Ground observations of LAI from this study compared with MODIS LAI products were found to be in close agreement.The data are stored in an ASCII text file, in comma-separated-value (csv) format, with column headers.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789725867-ORNL_CLOUD.html",
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"description": "Top-of-the-canopy broadband albedo and radiation fluxes are calculated from measurements at the Mongu and Skukuza flux tower sites in southern Africa from March 2000 through December 2002. Data were collected by instrumentation deployed at the top of the 30 m tower in the Kataba Local Forest near Mongu, Zambia, and atop the 20 m tower at the Skukuza tower site in Kruger National Park, South Africa. At the Mongu site, Kipp and Zonen albedometers housing both upward- and downward-looking pyranometers were outfitted with clear and red domes to collect broadband albedo and radiation fluxes in the shortwave (SW) and near-infrared (NIR) wavebands, respectively. The data are mean values provided at 15-minute intervals for 2000-2002. At the Skukuza tower, Kipp and Zonen albedometers (also outfitted with clear and red domes) collected broadband albedo and radiation fluxes in the SW and NIR wavebands. In addition, a pyrgeometer was used to collect longwave radiation flux in thermal infrared (TIR) wavebands. The data at Skukuza are mean values provided at 30-minute intervals for 2000-2002, except for the TIR data, which are provided for 2001 and 2002 only. For both sites, photosynthetically active radiation can be calculated from measurements.The data are provided in comma-delimited ASCII files, with column headers. The SW and NIR data for both sites are provided in one file per year per site for 2000-2002. The Skukuza longwave data are provided separately, and for years 2001 and 2002 only.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789728240-ORNL_CLOUD.html",
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"description": "Soil moisture and temperature profile sensors were deployed at flux tower sites in Mongu, Zambia and Skukuza, South Africa. In addition, thermal infrared sensors were deployed to monitor surface temperature at the sites, and soil samples were collected for physical property analysis. A heat-flux plate was also installed at 10 cm depth at the Mongu site. The data cover the period variously from August, 1999 to December, 2001.At the Mongu site, three profiles of soil moisture and temperature were obtained to a maximum depth of 125 cm. These profiles were located approximately 30 meters north of the Mongu flux tower, within the Kataba Local Forest. Surface radiometric temperature was measured by thermal infrared sensors deployed on top of the 30-meter tower and on a tree. At the Skukuza site, two profiles of soil moisture and temperature were obtained to a maximum depth of 40 cm in a Combretum stand. The radiometric temperature of the tree crown and the background surface were monitored by infrared thermocouple sensors deployed on a pole at 2.5 m and 5 m heights. Soil samples were collected at different depths in the vicinity of the soil profiles at each site and were analyzed at CSIR in Pretoria to determine bulk density, texture, and particle size distribution. The data files are stored as ASCII text files, in comma-separated-value (.csv) format. Associated with each data file is a metadata (.txt ) file. Among other information, the metadata files indicate periods of missing data.",
"license": "proprietary"
},
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"description": "This data set contains tree ring data from three sites located about 25 km of the meteorological station at Mongu, Zambia. Data from about 50 individual trees are reported. In addition, chronologies (or site mean curves) that better represent common influences (e.g., in this study, the climatic signal) were developed for each site based on the individual data (Trouet, 2004; Trouet et al., 2001). The series covers a maximum of 46 years, although most series do not extend longer than 30 years. The data were collected during the SAFARI 2000 Dry Season Field Campaign of August 2000.Ten to 23 samples were taken at each site. Brachystegia bakeriana was sampled at site 1, and Brachystegia spiciformis at sites 2 and 3. The vegetation at all sites underwent primitive harvesting for subsistence earlier the same year, thus samples could be taken from freshly cut trees and no living trees were cut. At all sites, samples consisted of full stem discs. Where possible, samples were taken at breast height (1.3 m) or slightly lower. Growth ring widths were measured to the nearest 0.01 mm using LINTAB equipment and TSAP software (Rinn and Jakel, 1997). Four radii per sample disc were measured. Cross-dating and response function analyses were performed by routine dendrochronological techniques. There are two files for each site, one containing integer values representing tree ring widths (raw data), and the other containing standardized values (chronologies), for each year. The data are stored as ASCII table files in comma-separated-value (.csv) format, with column headers. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789733347-ORNL_CLOUD.html",
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"description": "Tree basal area, percent tree canopy cover, and proportional contribution of main species to canopy cover were measured at 60 sampling points at 50 m intervals along six transects in the vicinity of the MODIS validation site tower in Kataba Forest, near Mongu, Zambia, in late February to early March 2000 as part of the SAFARI 2000 Wet Season Campaign. The aim of the study was to provide a broad description of the tree canopy layer around the tower.Tree and shrub species composition was recorded for each grid and measurements of canopy cover (% and rank) and frequency of occurrence (%) were made. Basal area was estimated at each grid site in a single 360 degree sweep using a basal area prism. Four estimates of canopy cover, oriented north, south, east, and west around the sample point, were taken at each grid site using a spherical densiometer and the data were averaged to give a single value for each grid. Only the canopies of trees and shrubs above 1.5 m height were measured.The data are stored in an ASCII file, in csv format. The file lists all tree and shrub species recorded and provides the proportional contribution of these species to canopy cover in each grid. Total tree basal area (m2 ha-1) and overall tree canopy cover (%) in each grid is also provided. The companion file provides additional vegetation data, graphics, long-term meteorological data, a discussion of the study results, and photographs of the study site.",
"license": "proprietary"
},
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"description": "Data include aircraft altitude, wind direction, wind speed, air temperature, potential temperature, water mixing ratio, U and V components of wind velocity, static pressure, surface radiative temperature, downwelling and upwelling total radiation, downwelling and upwelling longwave radiation, net radiation, downwelling and upwelling PAR, greenness index, CO2 concentration, O3 concentration, and CH4 concentration.",
"license": "proprietary"
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"description": "AEAC projection of the original DEMs produced by the BOREAS HYD-08 team.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360517-OB_DAAC.html",
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"description": "Measurements made around the island of Nauru in Micronesia in 1999.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789726555-ORNL_CLOUD.html",
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"description": "The National Botanical Institute (NBI) has mapped woody plant species distribution to provide estimates of individual species contribution to peak leaf area index for designated vegetation types in southern Africa (Rutherford et al., 2000). The target was to account for 80% of the woody vegetation leaf area in terms of named species, for 80% of the surface area of Africa south of the equator. The data sources include published and unpublished species lists for vegetation types and individual sample plots, with the species contribution estimated by local experts in terms of dominants and subdominants. Source maps include: Low and Rebelo (1998); Giess (1971); Wild and Barbosa (1968); Barbosa (1970); and White (1983). Each source map delineates a wide variety of land cover categories that differ from region to region. Because vegetation discontinuities exist along some of the regional borders and a perfectly continuous regional map could not be achieved within the timeframe and budget of the project, the final map is made up of six independent sub-regional maps. A cross-referenced database of woody plant species, in order of species dominance, associated with all mapped units is provided.The data set contains six GIS shapefile archives, each containing a shape file for a given region in southern Africa on a 5 x 5 degree grid. An accompanying ASCII file contains the species list associated with the map files. The regional NBI Vegetation Map (a compilation of the 6 independent sub-regional coverages) is provided as a JPEG image.",
"license": "proprietary"
},
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"description": "This data set for the ISLSCP Initiative II data collection provides near surface meteorological variables, fluxes of heat, moisture and momentum at the surface, and land surface state variables, all with a spatial resolution of 1 degree in both latitude and longitude. There are four temporal categories of data: time invariant and monthly mean annual cycle fields (together referred to as \"fixed\" fields), monthly mean fields, monthly 3-hourly diurnal, and 3-hourly fields. Two types of variables exist in this data; instantaneous fields (primarily state variables), and average fields (primarily flux fields expressed as a rate). The Center for Ocean-Land Atmosphere Studies (COLA) near-surface data set for ISLSCP II was derived from the National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmospheric Model Inter-comparison Project (AMIP-II) reanalysis (http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/), covering the years from 1979-2003. The data set for ISLSCP II covers the period from 1986 to 1995. The purpose of the reanalysis was to provide an improved version of the original NCEP/National Center for Atmospheric Research (NCAR) reanalysis for General Circulation Model (GCM) validation. To co-register the NCEP/DOE reanalysis on the ISLSCP 1-degree grid, the reanalysis data set was regridded from its native T62 Gaussian grid) resolution (192 x 94 grid boxes globally) to 1-degree ISLSCP II required resolution.There are 136 compressed (.tar.gz) data files with this data set. When extrapolated, the individual data files are in ASCII (.asc) format.",
"license": "proprietary"
},
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"description": "The variability of net surface carbon assimilation (Asmax), net ecosystem surface respiration (Rsmax), and net surface evapotranspiration (Etsmax) among and within vegetation types was examined based on a review of studies performed in either a micrometeorological setting or an enclosure setting.",
"license": "proprietary"
},
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"description": "This data set contains data for wet and dry nitrogen-species deposition for the United States and Western Europe. Deposition data were acquired directly from monitoring programs in the United States and Europe for time periods from 1978-1994 for wet deposition and from 1989-1994 for dry deposition and evaluated using similar quality assurance criteria to ensure comparability. A standard geostatistical method (kriging) was used to interpolate data onto a 0.5 x 0.5 degree resolution map for wet and dry deposition.",
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"description": "The objective of this work was to produce a monthly climatology of broadband surface albedos for use in global numerical weather prediction models at the National Centers for Environmental Prediction (NCEP). Monthly means of clear-sky, surface, broadband, snow-free albedos for overhead sun illumination angle were determined using data from a five-year period from April 1985-December 1987 and January 1989-March 1991. The data set is compatible in temporal coverage and spatial resolution with a monthly climatology of green vegetation fraction (Gutman and Ignatov, 1998) delivered earlier and currently in use at NCEP. Three zip files are provided at three spatial resolutions of quarter, half and on degree, each containing 12 data files in standard ESRI ArcGIS ArcInfo Grid format, and 12 data files in ASCII format denoting defifferences between the original data set and the ISLSCP II Land Sea Mask. ",
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"description": "This information includes detailed land cover and biophysical parameter maps such as fPAR and LAI. Collection of the NS001 images occurred over the study areas during the 1994 field campaigns. The Level-2 NS001 data are atmospherically corrected versions of some of the best original NS001 imagery and cover the dates of 19-Apr-1994, 07-Jun-1994, 21-Jul-1994, 08-Aug-1994, and 16-Sep-1994.",
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"description": "The NS001 TMS imagery, along with the other remotely sensed images, was collected in order to provide spatially extensive information over the primary study areas. This information includes detailed land cover and biophysical parameter maps such as fPAR and LAI. Data collections occurred over the study areas during the 1994 field campaigns.",
"license": "proprietary"
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"description": "Processed by BORIS staff from the original vector data of species, crown closure, cutting class, and site classification/subtype into raster files.",
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"description": "This data set is a subset of Olson et al. (1985, 2000) \"Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation.\" This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10 N to 25 S, longitude 30 to 85 W). The data are in ASCII GRID format.\"Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation\" is a computerized database used to generate a global vegetation map of 44 different land ecosystem complexes (mosaics of vegetation or landscapes) comprising seven broad groups. The map is derived from patterns of preagricultural vegetation, modern areal surveys, and intensive biomass data from research sites. Work on the database was begun in 1960 and completed in 1980.Ecosystem complexes are defined for each 0.5-degree grid cell, reflecting the major climatic, topographic, and land-use patterns. Numeric codes are assigned to each vegetation type. Classifications include natural as well as human managed/modified complexes such as mainly cropped, residential, commercial, and park. The complexes are ranked by estimated organic carbon in the mass of live plants given in units of kilograms of carbon per square meter. Counting the cells of each type and adding their areas give total area estimates for the ecosystem complexes. Multiplying by carbon estimates gives corresponding estimates of carbon by ecosystem complex with in the LBA study area. The results help define the role of the terrestrial biosphere in the global carbon cycle.Information about the ecosystem classifications, as well as the procedure used to create the LBA subset can be found at ftp://daac.ornl.gov/data/lba/carbon_dynamics/olson/comp/olson_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.Carbon in Live Vegetation is a computerized database, used to generate a global vegetation map of 44 different land ecosystem complexes (mosaics of vegetation or landscapes) comprising seven broad groups.",
"license": "proprietary"
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"description": "A new method is used to generate spatial estimates of monthly averaged biomass burned area and spatial and temporal estimates of trace gas and aerosol emissions from open fires in southern Africa. Global burned area data for the year 2000 (GBA2000) supplemented with the Along Track Scanning Radiometer (ATSR) fire count data are employed to quantify the area burned at 1-km resolution by using a fractional vegetation cover map derived from satellite observations.",
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"description": "Leaf Area Index (LAI) data from the scientific literature, covering the period from 1932-2000, have been compiled at the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) to support model development and validation for products from the MODerate Resolution Imaging Spectroradiometer (MODIS) instrument. There is one data file which consists of a spreadsheet table, together with a bibliography of more than 300 original-source references. Although the majority of measurements are from natural or semi-natural ecosystems, some LAI values have been included from crops (limited to a sub-set representing different crops at different stages of development under a range of treatments). Like Net Primary Productivity (NPP), Leaf Area Index (LAI) is a key parameter for global and regional models of biosphere/atmosphere exchange. Modeling and validation of coarse scale satellite measurements both require field measurements to constrain LAI values for different biomes (typical minimum, maximum values, phenology, etc.). Maximum values for point measurements are unlikely to be approached or exceeded by area-weighted LAI, which is what satellites and true spatial models are estimating.",
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"description": "Detailed canopy, understory, and ground cover, height, density, and condition information for PANP in the western part of the BOREAS SSA in vector form.",
"license": "proprietary"
},
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"description": "This data set contains measurements of the concentration and stable carbon (13C/12C) and nitrogen (15N/14N) isotope ratios of plant (leaves, roots and fungi) and soil samples from southern Africa. The study sites in Zambia, Botswana, Namibia, and South Africa are located along the Kalahari Transect precipitation gradient. Some of the sites were relatively undisturbed while others had different intensities of cultivation, domestic grazing, and fires. The data were collected to detect patterns of N cycling along precipitation and grazing gradients, including N2 fixation by legumes. Data from different multiple projects are included. The plants and soils were sampled mainly in the wet season of years 1995, 1999, and 2000, with most of the data collected during the SAFARI 2000 Kalahari Wet Season Field Campaign in February and March of 2000. Some grass samples were collected in the dry season of year 2000 (from Mongu-dambo and Sua Pan grassland sites). Soil and plant samples were analyzed in a laboratory for %C, %N, d13C, and d15N with an Optima isotope ratio mass spectrometer coupled to an elemental analyzer. The stable isotope ratios are expressed using standard delta notation in units per mil. The isotope ratios are expressed relative to the international standard PDB (Pee Dee Belemnite) for carbon and atmospheric N2 for nitrogen samples. The carbon and nitrogen contents are expressed in percentage weight of the dry sample.The data files contain numerical and character fields of varying length separated by commas (.csv format).",
"license": "proprietary"
},
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"description": "Study plot canopy chemistry values were calculated from leaf chemistry and litterfall weight values. Average leaf concentrations of nitrogen and carbon were used to investigate how reflectance varies with chemistry. ",
"license": "proprietary"
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"description": "AVIRIS image scenes were acquired in 1992 over ACCP sites. Pixels that coincided with field study plots were extracted and reflectance values were correlated with estimated canopy carbon and nitrogen content.",
"license": "proprietary"
},
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"description": "PnET (Photosynthetic / EvapoTranspiration model) is a nested series of models of carbon, water, and nitrogen dynamics in forest ecosystems. The models can be used to predict transient responses in net primary production (NPP), carbon and water balances, net nitrogen (N) mineralization and nitrification and N leaching losses, resulting from changes in climate, N deposition, tropospheric ozone and land use as well as variation in species composition. The models have been developed and validated in the Northeastern U.S. at both the site and grid level (to 1-km resolution) at the Complex Systems Research Center, University of New Hampshire, by John Aber and colleagues.",
"license": "proprietary"
},
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"description": "This archived model product contains the directions, executables, and procedures for running PnET-BGC to recreate the results of: Gbondo-Tugbawa, S.S., C.T. Driscoll , J.D. Aber and G.E. Likens. 2001. The evaluation of an integrated biogeochemical model (PnET-BGC) at a northern hardwood forest ecosystem. Water Resources Research 37:1057-1070Gbondo-Tugbawa et al,. 2001 Excerpt from Abstract: An integrated biogeochemical model (PnET-BGC) was formulated to simulate chemical transformations of vegetation, soil, and drainage water in northern forest ecosystems. The model operates on a monthly time step and depicts the major biogeochemical processes, such as forest canopy element transformations, hydrology, soil organic matter dynamics, nitrogen cycling, geochemical weathering, and chemical equilibrium reactions involving solid and solution phases. The model was evaluated against soil and stream data at the Hubbard Brook Experimental Forest, New Hampshire. Model predictions of concentrations and fluxes of major elements generally agreed reasonably well with measured values, as estimated by normalized mean error and normalized mean absolute error. Model output of soil base saturation and stream acid neutralizing capacity were sensitive to parameter values of soil partial pressure of carbon dioxide, soil mass, soil cation exchange capacity, and soil selectivity coefficients of calcium and aluminum. PnET-BGC can be used as a tool to evaluate the response of soil and water chemistry of forest ecosystems to disturbances such as clear-cutting, climatic events, and atmospheric deposition.PnET-BGC, was used to investigate inputs and dynamics of S in a northern hardwood forest at the Hubbard Brook Experimental Forest (HBEF) (Gbondo-Tugbawa et al., 2002). The changes in soil S pools and stream-water were simulated to assess the response 22 SO4 to both atmospheric S deposition and forest clear-cutting disturbances. Watershed studies across the northeastern United States have shown that stream losses of exceed atmospheric sulfur (S) deposition. Understanding the processes responsible for this additional source of S is critical to quantifying ecosystem response to ongoing and potential future controls on SO2 emission.",
"license": "proprietary"
},
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"description": "This data set was developed to describe the state of the global land cover in terms of 15 major vegetation types, plus water, before alteration by humans. It forms a complement to the historical croplands data set developed by Ramankutty and Foley (1999). By overlaying the two, one can determine the extent to which natural vegetation has been cleared for cultivation. This data set can be used directly within spatially-explicit climate and biogeochemical models. There are four total files in this data set. Two files contain the land cover types representing potential natural vegetation before human alteration, and two other files contain those points in the original data set submitted by the Principal Investigator that have been modified in order to match the land/water mask of the ISLSCP Initiative II.The geographic distribution of contemporary land cover types can be derived from remotely-sensed data. However, humans now dominate much of the world and there is little evidence of the pre-human-settlement natural vegetation or Potential Natural Vegetation (PNV). PNV, as defined here, does not necessarily represent the world's natural pre-human-disturbance vegetation. Rather, our definition of PNV represents the world's vegetation cover that would most likely exist now in equilibrium with present-day climate and natural disturbance, in the absence of human activities.",
"license": "proprietary"
},
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"license": "proprietary"
},
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"description": "The main goal of this study was to analyze the possibility of estimating combustion completeness based on fire-induced spectral reflectance changes of surface features by the development of relationships between combustion completeness and pre-fire to post-fire spectral reflectance changes, in the green, red, and near-infrared spectral domains (equivalent to Landsat ETM+ channels 2, 3, and 4).",
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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@@ -236868,7 +239650,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929107528-ORNL_CLOUD.html",
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"description": "The BOREAS RSS-07 team collected various data sets to develop and validate an algorithm to allow the retrieval of the spatial distribution of LAI from remotely sensed images. Ground measurements of LAI and FPAR absorbed by the plant canopy were made using the LAI-2000 and TRAC optical instruments during focused periods from 09-AUG-1993 to 19-SEP-1994.",
"license": "proprietary"
},
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"description": "This dataset is derived from Russian forest fire imagery from the National Forest Fire Center of Russia archive that was collected by the Center of Remote Sensing, Institute of Solar Terrestrial Physics, Irkutsk, Russia for the 1998 and 1999 fire seasons. The data are vector (point) maps of forest fire locations (1998 and 1999) in ArcView shapefile format.",
"license": "proprietary"
},
@@ -237531,7 +240313,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2810671753-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2810671753-ORNL_CLOUD.html",
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"description": "This dataset is a 1:15 million scale map of forest stand carbon for the land area of Russia (Stone et al., 2000). The objective was to create a first approximation of the forest stand carbon reserves of Russia. Data include continuous estimates of forest stand carbon in units of metric tons/ha of carbon (C) and categorized data depicting rages of forest stand carbon. The resulting maps show forest stand C by region in a spatially explicit form. It is the first map of its type for Russia of which we are aware. The mapped C represents 96% of the total of 26.1 Pg forest tree stand C described by Alexeyev and Birdsey (1994) and Alexeyev et al. (1995). Of the remaining 4%, nearly half was due to bushes, which were assumed not to be mapped in the 1973 forest cover map.The source data for the forest stand carbon map were acquired by map digitization from the Atlas of Forests for the Soviet Union (State Committee on Forests, 1973) and spatial application and arithmetic manipulation of carbon storage data from Alexeyev and Birdsey (1998).",
"license": "proprietary"
},
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"description": "This data set is a 1:15 million scale forest cover map for the land area of the Former Soviet Union. Twenty-two land cover classes are distinguished, of which 20 are forest cover classes. The source data were acquired by map digitization from the Atlas of Forests of the USSR (Anon. 1973) which was likely based on forestry data from the 1940s, 1950s and 1960s.",
"license": "proprietary"
},
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"description": "This data set is a 1:2.5 million scale forest cover map for the land area of the Former Soviet Union that was completed in 1990 (Garsia 1990). There are forty-five classes distinguished in this data set, of which 38 are forest cover classes. The purpose of this map was to create a generalized and up-to-date map of forest cover for the USSR. This map should not be viewed as a detailed forest cover map but more like an economic forestry map. The most important tree species of a region are highlighted rather than the dominant trees species or tree cover. Very few tree species are defined. In many cases, of course, the dominant and the most important trees species are the same. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2810671459-ORNL_CLOUD.html",
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"description": "This dataset is a 1:2 million scale forest cover map for the land area of the Krasnoyarsk Region, Russia. Thirty-two land cover classes are distinguished. These data were digitized from maps of the Atlas of Forests of the USSR (Anon. 1973). This map should not be strictly viewed as a map of actual forest cover, but rather as a map of dominant tree species. Very few tree species are defined, and generally, each polygon and color has only one tree species assigned to it.",
"license": "proprietary"
},
@@ -237583,7 +240365,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2810670679-ORNL_CLOUD.html",
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"description": "This dataset is a 15-kilometer resolution land cover map for the land area of the Former Soviet Union. There are sixty land cover classes distinguished in this dataset, of which 38 are forest cover classes. The data set is useful for stratification of the FSU into general sub-regions of land cover for subsequent study using higher resolution satellite data.",
"license": "proprietary"
},
@@ -237596,7 +240378,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2810670893-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2810670893-ORNL_CLOUD.html",
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"description": "This data set is a 1-kilometer resolution land cover map for the land area of the Primor'ye and Southern Khabarovsk Regions, in the Russian Far East, based on 1990 NOAA AVHRR data. Labeling of land cover classes depended upon the Russian 1990 Forest Cover Map (Garsia, 1990), the analyst's experience with AVHRR data, and Russian data sources. There are eight classes distinguished in this dataset, of which 5 are forest cover classes.The objective of this work was to create a 1-km resolution land cover map of the region of the Far Eastern Siberia based on NOAA AVHRR data which might be used by World Wildlife Fund researchers to aid in the definition of remaining habitats and range for threatened animal species (Stone and Schlesinger, 1996).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2810672079-ORNL_CLOUD.html",
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"description": "This data set consists of roads, drainage, railroads, utilities, and population center information in readily usable vector format for the land area of the Former Soviet Union. The purpose of this dataset was to create a completely intact vector layer which could be readily used to aid in mapping efforts for the area of the FSU. These five vector data layers were assembled from the Digital Chart of the World (DCW), 1993. Individual record attributes were stored for population centers only. Vector maps for the FSU are in ArcView shapefile format.",
"license": "proprietary"
},
@@ -237622,7 +240404,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2810672200-ORNL_CLOUD.umm_json",
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"description": "This dataset is a 1:4 million scale vegetation map for the land area of the Former Soviet Union. Three hundred seventy-three cover classes are distinguished, of which nearly 145 are forest cover-related classes. Stone and Schlesinger (1993) digitized the map Vegetation of the Soviet Union, 1990 (Institute of Geography, 1990). ",
"license": "proprietary"
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"description": "This data set is the Former Soviet Union (FSU) portion of the Generalized World Forest Map (WCMC, 1998), a 1-kilometer resolution generalized forest cover map for the land area of the Former Soviet Union. There are five forest classes in the original global generalized map. Only two of those classes were distinguished in the geographical portion comprising the FSU.",
"license": "proprietary"
},
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"description": "A global data set of root biomass, rooting profiles, and concentrations nutrients in roots was compiled from the primary literature and used to study distributions of root properties. This data set consists of estimates of fine root biomass and specific area, site characteristics. This data set provides analysis of rooting patterns for terrestrial biomes and compare distributions for various plant functional groups.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761763711-ORNL_CLOUD.html",
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"description": "Nutrient measurements for fine roots were compiled from 56 published studies providing information on 372 different combinations of species, root diameter, rooting depths, and soils at a variety of locations. The compilation was used to examine dynamics of 14 nutrients, including translocation properties of roots of varying size and status.",
"license": "proprietary"
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"description": "Rooting depths were estimated from a global database of root profiles assembled from the primary literature to study relationships of abiotic and biotic factors associated with belowground vegetation structure. For each root profile, information recorded includes latitude and longitude, elevation, soil texture, depth of organic horizons, type of roots measured (e.g., fine or total, live or dead), sampling methods, units of measurements (root mass, length, number, surface area), and sampling depth.",
"license": "proprietary"
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"description": "Estimates of root turnover rates were calculated from measurements of live root standing crop and belowground net primary production (BNPP) compiled from the primary literature. Vegetation characteristics, soil properties, and climate conditions were associated with turnover rates to examine patterns and controls for biomes worldwide.",
"license": "proprietary"
},
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"description": "This data set provides two estimates of the geographic distribution of the total plant-available soil water storage capacity of the rooting zone (\"rooting zone water storage size\") on a 1.0 degree global grid. Two inverse modeling methods were used. The first modeling approach (optimization) was based on the assumption that vegetation has adapted to the environment such that it makes optimum use of water (Kleidon and Heimann 1998). The second method (assimilation) was based on the assumption that green vegetation indicates sufficient available water for transpiration (Knorr 1997). The data set was developed to provide alternative means to describe rooting characteristics of the global vegetation cover for land surface and climate models in support of the ISLSCP Initiative II data collection. There are three files in this data set. ",
"license": "proprietary"
},
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"description": "The RSS-15 team conducted an investigation using SIR-C , X-SAR and Landsat TM data for estimating total above-ground dry biomass for the SSA and NSA modeling grids and component biomass for the SSA. Relationships of backscatter to total biomass and total biomass to foliage, branch, and bole biomass were used to estimate biomass density across the landscape.",
"license": "proprietary"
},
@@ -237804,7 +240586,7 @@
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"description": "Satellite and aircraft SAR data used in conjunction with ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high-resolution images that represent the radar backscatter of the imaged surface at different frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV).",
"license": "proprietary"
},
@@ -237817,7 +240599,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645680-ORNL_CLOUD.html",
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"description": "Contains the POLDER data collected from the C130 platform during IFCs 1 and 2 in 1994.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645731-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929167635-ORNL_CLOUD.html",
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"description": "A subset of images collected by the POLDER instrument mounted on the NASA/Ames C-130 aircraft over tower sites in the BOREAS study areas during the IFCs in 1994.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807641921-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813387460-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813387460-ORNL_CLOUD.html",
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"description": "Contains helicopter SE-590 measurements taken by RSS-03.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807645356-ORNL_CLOUD.html",
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"description": "Contains the soil and stem temperature measurements collected by RSS17 at various flux sites: (1) Southern Study Area (SSA) at the Old Black Spruce (OBS), Old Jack Pine (OJP), Old Aspen (OA), and Young Jack Pine (YJP); and (2) Northern Study Area (NSA) O",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929105510-ORNL_CLOUD.html",
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"description": "The BOREAS RSS-07 team used Landsat TM images processed at CCRS to produce images of LAI for the BOREAS study areas. Two images acquired on June 6 and August 9, 1991 were used for the SSA, and one image acquired on June 9, 1994 was used for the NSA. The LAI images are based on ground measurements and Landsat TM RSR images.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929112031-ORNL_CLOUD.html",
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"description": "The BOREAS RSS-10 team investigated the magnitude of daily, seasonal, and yearly variations of PAR from ground and satellite observations. This data set contains satellite estimates of surface-incident photosynthetically active radiation (PAR, 400-700 nm, MJ m-2) at 1 degree spatial resolution. The spatial coverage is circumpolar from latitudes of 41 to 66 degrees N latitude.",
"license": "proprietary"
},
@@ -237934,7 +240716,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929125100-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929125100-ORNL_CLOUD.html",
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"description": "The BOREAS RSS-14 team collected and processed GOES-7 and -8 images of the BOREAS region as part of their effort to characterize the incoming, reflected and emitted radiation at regional scales. This data set contains surface radiation parameters, such as net radiation and net solar radiation, that have been interpolated from GOES-7 images and AMS data onto the standard BOREAS mapping grid at a resolution of 5 km N-S and E-W.",
"license": "proprietary"
},
@@ -237947,7 +240729,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929141520-ORNL_CLOUD.html",
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"description": "The BOREAS RSS-17 team acquired and analyzed imaging radar data from the ESA's ERS-1 over a complete annual cycle at the BOREAS sites in Canada in 1994 to detect shifts in radar backscatter related to varying environmental conditions. Two independent transitions corresponding to soil thaw and possible canopy thaw were revealed by the data. The results demonstrated that radar provides an ability to observe thaw transitions at the beginning of the growing season, which in turn helps constrain the length of the growing season.",
"license": "proprietary"
},
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"description": "Contains xylem flux density measurements taken by RSS-17 at SSA-OBS.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092274-ORNL_CLOUD.html",
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"description": "Ground-based sunphotometer data collected in support of AVIRIS remote sensing activities at the SSA. The following information was compiled by staff members of the BOReal Ecosystem-Atmosphere Study (BOREAS)Information System (BORIS) as part of their data documentation efforts.",
"license": "proprietary"
},
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"description": "Contains the RSS-01 PARABOLA data sets averaged by 15 degree common view zenith and azimuth angles collected during the BOREAS field campaigns in 1994.",
"license": "proprietary"
},
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"description": "Contains site averaged reflected radiance and reflectance values from barnes MMR taken from helicopter.",
"license": "proprietary"
},
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"description": "Contains sample values and mean values of needle biochemistry data taken at jack pine sites in the SSA.",
"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092399-ORNL_CLOUD.html",
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"description": "Ground BRDF measurements were acquired by the Remote Sensing Science (RSS)-08 team to aid in the development of advanced spectral vegetation indices. The RSS-08 team measured reflectances at the double-scaffold towers in the Southern Study Area (SSA) Old Black Spruce (OBS) and Old Aspend (OA) sites during IFC-3 in 1994.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929147975-ORNL_CLOUD.html",
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"description": "The RSS08 team acquired stereo photography from the double-scaffold towers at the Southern Study Area (SSA), Old Black Spruce (OBS), Old Aspen (OA), and Old Jack Pine (OJP) sites during IFC-3 in 1994. The imagery of the canopy was taken from various perspectives. The RSS08 team also measured BRDF at the SSA-OA and -OBS sites during IFC-3.",
"license": "proprietary"
},
@@ -238077,7 +240859,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927748781-ORNL_CLOUD.html",
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"description": "The BOREAS RSS-08 team utilized Landsat TM images to perform mapping of snow extent over the SSA. This data set consists of two Landsat TM images which were used to determine the snow-covered pixels over the BOREAS SSA on 18-Jan-1993 and on 06-Feb-1994. ",
"license": "proprietary"
},
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"description": "This data set provides Synthetic Aperture Radar (SAR) images for 42 selected sites from various terrestrial ecology and meteorological monitoring networks including FLUXNET, Ameriflux, Long Term Ecological Research (LTER), and the Greenland Climate Network (GC-Net).The data set contains at least one image for all 42 sites, and six sites have multiple images. See Table 1 for the sites and the temporal range of the available images. The scenes are in GeoTIFF format in Universal Transverse Mercator (UTM), WGS-84 projection, and 15-meter resolution.The SAR images are subset scenes of approximately 60 km x 70 km that include an established site in one of the monitoring networks. The spatial resolution of all scenes is 15 meters. These scenes are distributed as geotif files with appropriate projection information defined within the file.The acquisition mode for all data is the Fine Beam Double Polarization or FBD with the HH/HV polarization. The HH and HV channels are distributed as 3 channels to allow for an intuitive image display. The HH band is displayed in the red and blue channels and the HV band is displayed in the green channel. For some images only single polarization is available; these images are distributed as grayscale images.The source of the data is the PALSAR (Phased Array type L-band Synthetic Aperture Radar) sensor flying on the Advanced Land Observing Satellite (ALOS). The PALSAR data are in dual Polarization, HH+HV, mode. Bands HH (red and blue) and Band-HV (green) can be used to visualize land use patterns. The resulting images show vegetation in shades of green and barren land in shades of pink or purple.",
"license": "proprietary"
},
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"description": "A condensed forest cover type digital map of Saskatchewan and is a product of the Saskatchewan Environment and Resource Management, Forestry Branch-Inventory Unit (SERM-FBIU). Map was generalized from SERM township maps of vegetation cover at an approximate scale of 1:63,000 (1 in. = 1 mile). The cover information was iteratively generalized until it was compiled on a 1:1,000,000 scale map base.",
"license": "proprietary"
},
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"description": "Contains 1994 and 1995 hourly data from various forestry meteorology stations.",
"license": "proprietary"
},
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"description": "Series of ARC/INFO export files of the fire history of Saskatchewan by year from 1945 to 1996, with a few missing years.",
"license": "proprietary"
},
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"description": "This International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data set, ISLSCP II Global Sea Ice Concentration, is based on the Goddard Space Flight Center (GSFC) Sea Ice Concentrations from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellites Program (DMSP) Special Sensor Microwave/Imager (SSM/I) Passive Microwave Data. This data set contains four zip files which includes sea ice concentration (in percentage of ocean area covered by sea ice), table data and map data. These original data were re-gridded by the National Snow and Ice Data Center (NSIDC) from their original 25-km spatial resolution and EASE-Grid into equal angle Earth grids with quarter, half and one degree spatial resolutions in latitude/longitude. The ISLSCP II staff have taken the one degree resolution original data provided by the Principal Investigator and created global maps of monthly sea ice concentration on a global one degree grid using the latitude and longitude coordinates that were provided. Individual monthly files were created and written to the ASCII format. The re-gridded one degree original data were also adjusted to match the one degree ISLSCP II land/water mask. ",
"license": "proprietary"
},
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"description": "Sea surface temperature (SST) is an important indicator of the state of the earth climate system as well as a key variable in the coupling between the atmosphere and the ocean. Accurate knowledge of SST is essential for climate monitoring, prediction and research. It is also a key surface boundary condition for numerical weather prediction and for other atmospheric simulations using atmospheric general circulation models and regional models. SST also is important in gas exchange between the ocean and atmosphere, including the air-sea flux of carbon. Gridded SST products have been developed to satisfy these needs. There are 3 .zip files provided with this data set.Gridded monthly and weekly sea surface temperature (SST) and long term SST monthly climatology for the period 1971-2000 are provided here. Weekly normalized error variance fields are also provided with the weekly data. The data are derived using the National Oceanic and Atmospheric Administration (NOAA) Optimum Interpolation (OI) global sea surface temperature analyses that use seven days of in situ (ship and buoy) and satellite SST observations and SST values derived from sea ice concentration. These analyses are produced weekly using optimum interpolation (OI) on a 1-degree grid. The data sets included in the ISLSCP II data collection are produced using version 2 of the OI analyses, called OIv2. In this data set, the ISLSCP II staff have masked land areas based on the ISLSCP II land/water mask. A file describing the differences between the ISLSCP II mask and the original mask used is provided.",
"license": "proprietary"
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"description": "This data set contains Sea-viewing Wide Field-of-view Sensor (SeaWiFS) imagery for the eight core study sites of Mongu, Etosha, Kasangu, Skukuza, Mutoko, Mzola, Nampula, and Ndola. There are two main sets of local area coverage (LAC) data: Level-1 and Level-2 200-km x 200-km image subsets for seven of the sites and 400-km x 400-km image subsets for the Etosha site. The data are provided in HDF format files.",
"license": "proprietary"
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"description": "This data set contains Sea-viewing Wide Field-of-view Sensor (SeaWiFS) imagery for the southern African region. These images are Level-1a swaths of the southern African region selected from global area coverage (GAC) at 4.5-km resolution. The data are provided in HDF format files.",
"license": "proprietary"
},
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"description": "Ozonesonde launches were made by the Southern Hemisphere ADditional OZonesondes (SHADOZ) group as part of the SAFARI 2000 Dry Season Campaign in September 2000 (Thompson et al., 2002). Ozonesondes are balloon-borne instruments measuring profile ozone, as well as temperature and pressure from an attached radiosonde, up to 35 km in height (around 5 hPa in pressure coordinates) capturing the troposphere and lower stratospheric portion of the atmosphere. During the campaign, ozonesondes were launched daily during the height of the burning season and in a region of active biomass burning activity.",
"license": "proprietary"
},
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"description": "Surface-sensing Measurements for Radiative Transfer (SMART) and Chemical, Optical, and Microphysical Measurements of In-situ Troposphere (COMMIT) consist of a suite of instruments that measure (both in-situ and by remote sensing) parameters that help to characterize, as completely as possible, constituents of the atmosphere at a given location. SMART and COMMIT are mobile systems that can be deployed to locations that exhibit interesting atmospheric phenomena. This allows investigators to participate in coordinated measurement campaigns, such as SAFARI 2000.The SMART instruments were deployed to the Skukuza Airport from August 15 to September 17, 2000 to take part in the SAFARI 2000 Dry Season Aircraft Campaign. The SMART-COMMIT mission is designed to pursue the following goals: Earth Observing System (EOS) validation; innovative investigations; and long-term atmospheric monitoring. The results reported in this data set are for the following instruments deployed and measurements recorded at the Skukuza Airport site within the Kruger National Park: several broadband radiometers, for global, diffuse, direct downward solar irradiance and global infrared downward irradiance; meteorological sensors, for surface air temperature, pressure, relative humidity, and wind; and a Solar Spectral Flux Radiometer (NASA Ames) for spectral solar downward irradiance.",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784896919-ORNL_CLOUD.html",
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"description": "This ISLSCP data set is derived from the National Snow and Ice Data Center (NSIDC) Northern Hemisphere EASE-Grid Weekly Snow Cover and Sea Ice Extent product which combines snow cover and sea ice extent at weekly intervals for October 1978 through June 2001, and snow cover alone from 1966 through June 2001. The original data set was the first representation of combined snow and sea ice measurements derived from satellite observations for the period of record. Designed to facilitate study of Northern Hemisphere seasonal fluctuations of snow cover and sea ice extent, the original NSIDC data set also includes monthly climatologies describing average extent, probability of occurrence, and variance.This data set shows the extent of snow on the land at a variety of scales (1.0 degree, 0.5 degree, 0.25 degree). The values represent the percentage of days in each month where snow was present -- 100 means 100% of the month, 80 means 80% of the month, etc. There are 4 .zip files provided. Missing data is represented by -99 for water and -88 for land. The data were originally in a yearly tabular format. The file was converted to multi-scale maps by plotting each point in the tabular data onto a map of -99 (water) and -88 (land) created from the standard ISLSCP II Land/Sea Mask. ",
"license": "proprietary"
},
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"description": "This data set contains monthly average snow-free surface shortwave albedo calculated for the period 1982-1998 and estimates of background soil/litter reflectances in the visible (0.4-0.7 mm) and near-infrared (NIR) (0.7-1.0 mm) wavelengths. Biophysical Parameters derived from the FASIR-NDVI (Fourier Adjusted, Solar zenith angle correction, Interpolation, and Reconstruction of Normalized Difference Vegetation Index) data set developed for the ISLSCP Initiative II data collection for the months of January 1982 through December 1998 were used to calculate monthly mean surface albedos at 1 X 1 degree spatial resolution for vegetated land surfaces (Sellers et al, 1996b) for the wavelength interval from 0.4 to 3.0 mm. The instantaneous albedo is a function of the properties of the land surface and the solar zenith angle. The monthly mean albedo is an average weighted over time weighted by the incident radiation. NDVI data are used to generate the biophysical parameters leaf area index (LAI) and green fraction of vegetation (Greenness) used by the canopy radiative transfer model of the Simple Biosphere (SiB2) model (Sellers et al, 1996a), which computes the instantaneous albedo. This is coupled to the Colorado State University (CSU) General Circulation Model (GCM) (Randall et al, 1989) which integrates the SiB2 radiative transfer through time. The incident radiation for weighting the time-averaged albedo was provided by a previous run of the GCM using the atmospheric radiation parameterization of Harshvardhan et al (1987). The Harshvardhan parameterization models radiative transfer through the atmosphere in both the longwave and shortwave bands, including the effects of cloudiness and water vapor, carbon dioxide and ozone. The shortwave radiation distinguishes between the direct and diffuse components of the solar beam.",
"license": "proprietary"
},
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"description": "GIS layers that describe the soils of the BOREAS SSA. Original data were submitted as vector layers that were then gridded by BOREAS staff to a 30-meter pixel size in the AEAC projection.",
"license": "proprietary"
},
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"description": "This data set is a compilation of soil respiration rates (g C m-2 yr-1) from terrestrial and wetland ecosystems reported in the literature prior to 1992 subset for the Safari 2000 project. These rates were measured in a variety of ecosystems to examine rates of microbial activity, nutrient turnover, carbon cycling, root dynamics, and a variety of other soil processes.",
"license": "proprietary"
},
@@ -240066,7 +242848,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2927742817-ORNL_CLOUD.html",
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"description": "Gridded from vector layers of soil maps received from Dr. Hugo Veldhuis, who did the original mapping in the field during 1994.The vector layers were gridded into raster files that cover the NSA-MSA and tower sites.",
"license": "proprietary"
},
@@ -240079,7 +242861,7 @@
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093369-ORNL_CLOUD.html",
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"description": "Vector layers of soil maps. The vector layers were converted to ARC/INFO EXPORT files. These data cover 1-km diameters around each of the NSA tower sites and another layer covers the NSA-MSA.",
"license": "proprietary"
},
@@ -240092,7 +242874,7 @@
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"description": "For BOREAS, the level-3s SPOT data, along with the other remotely sensed images,were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed landcover, and biophysical parameter maps such as FPAR and LAI. The SPOT images acquired for the BOREAS project were selected primarily to fill temporal gaps in the Landsat TM image data collection.",
"license": "proprietary"
},
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"description": "The Global Burned Area 2000 initiative (GBA2000) was launched by the Global Vegetation Mapping Unit of the Joint Research Centre of the European Commission, in partnership with several other institutions, to develop reliable and quantitative information on the global magnitude and spatial distribution of biomass burning. The objective of GBA2000 was to produce a map of the areas burned globally for the year 2000, using the medium resolution satellite imagery provided by the SPOT-VEGETATION (VGT) system and to derive statistics of area burned per type of vegetation cover. A subset of the global GBA20000 map was prepared for SAFARI 2000 to map the area burned in sub-Saharan Africa during 2000 on a monthly basis using VGT imagery at 1 km spatial resolution. Burned areas were identified with a classification tree, relying only on the near-infrared channel of VGT. The data used in this work are in the S1 daily synthesis format, i.e. the data are radiometrically calibrated, precisely geo-located, and corrected for atmospheric effects.The data are binary image files of area burned, BSQ format in geographic projection. There is one file for each month of 2000 and one file for all of the year 2000. There is also a comma-delimited ASCII text file that provides geographic coordinates (latitude and longitude) of the center of each pixel indicated as a burned area for all of 2000.",
"license": "proprietary"
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"description": "This data set contains cloud and meteorology data on a 1.0 degree x 1.0 degree spatial resolution. There are eight data files (*.zip) with this data set for several cloud parameters (monthly only) and meteorological parameters including monthly surface skin temperature, monthly total column ozone, and water vapor burdens for the period 1986-1995. All monthly parameters include files with a monthly mean value, a monthly standard deviation, and monthly minimum and maximum values. ",
"license": "proprietary"
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"description": "This data set contains global Surface Radiation Budget (SRB) and a few top-of-atmosphere (TOA) radiation budget parameters on a 1-degree x 1-degree spatial resolution. These parameters are provided as monthly, monthly-3 hourly (i.e. monthly average for a particular 3 hourly period) and 3-hourly averages. All monthly parameters include files with a monthly mean value, a monthly standard deviation, and monthly minimum and maximum values. The surface and TOA Shortwave (SW) radiative parameters were computed with the Pinker and Laszlo (1992) radiation model. The Longwave (LW) SRB parameters were derived with the Gupta et al. (1992) model. Meteorological inputs for all processing were taken from the Goddard Earth Observing System version 1 (GEOS-1) reanalysis data sets (Schubert et al., 1993) from the Data Assimilation Office (DAO), at NASA Goddard Space Flight Center (GSFC). Required cloud parameters were derived at NASA Langley Research Center (LaRC) from International Satellite Cloud Climatology Project (ISCCP) DX data using the algorithms developed at the NASA Goddard Institute for Space Studies (GISS) (Rossow et al., 1996). Surface albedos are derived internally in the Pinker and Laszlo SW model. There are 30 compressed data files (*.zip) with this data set. When the *.zip files are expanded, there are 114,912 3-hourly files, 42,064 diurnal files, and 6,254 monthly files. ",
"license": "proprietary"
},
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"description": "Contains surface meteorology data merged/interpolated from four BOREAS sites for the years 1994, 1995, and 1996.",
"license": "proprietary"
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"description": "Raster files created by processing original vector data. Data include information of forest parameters for the BOREAS SSA MSA.",
"license": "proprietary"
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"description": "This data set was prepared by the SERM-FBIU. The data include information on forest parameters and cover the area in and near the BOREAS SSA, excluding the PANP.",
"license": "proprietary"
},
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"description": "The Multi-angle Imaging SpectroRadiometer (MISR) Validation team was deployed to the Sua Pan salt playa in the Magkadigkadi region of Botswana during the SAFARI 2000 Dry Season Aircraft Campaign to collect various data sets for validating the MISR LAI/FPAR algorithm. Ground measurements of leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FPAR) were made using the LAI-2000 plant canopy analyzer and Sunfleck PAR ceptometer, respectively, during focused periods from August 20 to August 28, 2000 at a dry grassland site adjacent to the Sua Pan. The 1 km by 1 km sampling grid was a homogeneous, relatively dense grassland, with a height of 20-100 cm and two prevalent grass types, Odyssea paucinervis and Sporobolus spicatus. Associated reflectance measurements were made with the PARABOLA and ASD instruments (Helmlinger et al., 2004a; 2004b).The data files contain measurements of LAI and PAR reflectance and transmission and a description of sky conditions during the sampling periods. With one exception, all measurements were made under clear sky conditions. PAR data were measured only on the transect scale while LAI are provided at both pixel and transect scales. PAR readings were performed at 93 transect sample points, and LAI readings were performed at 135 (93 transect and 42 subgrid) sample points. Each file also contains mean LAI and PAR values. The data files are ASCII tables, in comma-separated-value format.",
"license": "proprietary"
},
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"description": "The Jet Propulsion Laboratory's (JPL) Portable Apparatus for Rapid Acquisition of Bidirectional Observation of the Land and Atmosphere (PARABOLA), version III, instrument collected radiance data covering both the upwelling and downwelling hemispheres at the Sua Pan salt playa in the Magkadigkadi region of Botswana and at the Skukuza tower site in the Kruger National Park, South Africa between August 25 and October 2, 2000 during in the SAFARI 2000 Dry Season Aircraft Campaign. PARABOLA III is a sphere-scanning radiometer that provides multi-angle measurements of sky and ground radiances on a spherical grid of 5 degrees in the zenith-to-nadir and azimuthal planes in eight spectral channels (444, 551, 581, 650, 860, 944, 1028, and 1650 nm). The experiment was designed to collect data necessary for multi-angle top-of-atmosphere radiance predictions for a vicarious calibration of the Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard the Terra satellite. Four of the PARABOLA channels (444, 551, 650, and 860 nm) are similar to those of the MISR sensor. Measurements were made on cloud-free days of Terra satellite overpasses.Each data file contains radiance counts (ASCII integer values) for 8 bands for each 3-minute data collection. Zenith and azimuth angles are implied by radiance count positions in file. Additional files contain average dark current readings, empirically determined by covering the detectors. The data can be processed to radiance using a series of second order polynomial fit coefficients, provided in the documentation file, and dark current offset. Site-specific auxiliary information is also provided, for each date of PARABOLA data collection.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2789642681-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789642681-ORNL_CLOUD.html",
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"description": "The Multi-angle Imaging SpectroRadiometer (MISR) Validation team was deployed to Sua Pan, a salt playa in the Magkadigkadi region of Botswana, from August 18 to September 4, 2000, during the SAFARI 2000 Dry Season Aircraft Campaign. The experiment was designed to collect data necessary for multi-angle top-of-atmosphere radiance predictions in order to provide a vicarious calibration of the MISR instrument aboard the Terra satellite. Reported here are ground-based reflectance measurements collected using an Analytical Spectral Devices (ASD) spectroradiometer at Sua Pan and adjacent grassland targets. The grasslands provided large homogeneous areas for comparison of scale between ground measurements and remote sensing results.Data files contain numeric values that represent mean reflectance over space (grassland) or wavelength range (pan), stored as ASCII files, one file per site, in comma-separated-value (.csv) format, with column headers. The Sua Pan data, collected over a 1 km x 2 km area, are presented as rows of mean reflectance (every 10 nm) for 20 points, where the mean represents the average local reflectance spectra collected within 150 m of the given latitude and longitude. The grassland data cover a 1 km2 area and are provided every nm from 1 to 2500. Each row of data contains a mean and standard deviation at a given wavelength, where the mean represents the average of 570 measurements taken over the 1 km2 area.Related data sets from Sua Pan provide ground measurements of BRDF, and LAI and FPAR (Helmlinger et al., 2004 and Buermann and Helmlinger, 2004, respectively).",
"license": "proprietary"
},
@@ -240729,7 +243511,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813389538-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813389538-ORNL_CLOUD.html",
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"description": "Contains measurements from the airborne auto tracking sun photometers on board the NASA Ames C-130 aircraft, operated by RSS12 (Wrigley).",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093243-ORNL_CLOUD.html",
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"description": "This data set provides a set of soil properties for the SSA. The soil samples were collected at sets of soil pits. Major soil properties include soil horizon; dry soil color; pH; bulk density; total, organic, and inorganic carbon; electric conductivity; cation exchange capacity; exchangeable sodium, potassium, calcium, magnesium, and hydrogen; water content at 0.01, 0.033, and 1.5 MPascals; nitrogen; phosphorus; particle size distribution; texture; pH of the mineral soil and of the organic soil; extractable acid; and sulfur.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127606-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127606-ORNL_CLOUD.html",
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"description": "Contains 1996 TE-04 data of branch bag studies of photosynthesis, respiration and stomatal conductance of boreal forest species using the open MPH-1000 system.",
"license": "proprietary"
},
@@ -241288,7 +244070,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127663-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127663-ORNL_CLOUD.html",
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"description": "Contains TE-04 data on gas exchange studies of photosynthesis, respiration and stomatal conductance of boreal forest species using the MPH-1000 system. ",
"license": "proprietary"
},
@@ -241301,7 +244083,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128840-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128840-ORNL_CLOUD.html",
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"description": "Contains tree summary information for the TE-07 dendrology data.",
"license": "proprietary"
},
@@ -241314,7 +244096,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128933-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128933-ORNL_CLOUD.html",
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"description": "Contains sap flow data collected by TE-07.",
"license": "proprietary"
},
@@ -241327,7 +244109,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128991-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128991-ORNL_CLOUD.html",
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"description": "Contains bark biochemical data collected by TE-08.",
"license": "proprietary"
},
@@ -241340,7 +244122,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129186-ORNL_CLOUD.umm_json",
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"license": "proprietary"
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"description": "Contains data collected by BOREAS TE-11 team on CO2 assimilation and transpiration in the SSA.",
"license": "proprietary"
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@@ -241483,7 +244265,7 @@
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"description": "The Spruce and Moss Model (SPAM) was designed to simulate the daily carbon balance of a black spruce/moss boreal forest ecosystem. It is driven by daily weather conditions and consists of four components: (1) soil climate; (2) tree photosynthesis and respiration; (3) moss photosynthesis and respiration; and (4) litter decomposition and associated heterotrophic respiration. The model can be used to generate predictions of total site net ecosystem exchange of carbon (NEE), total soil dark respiration (live roots + heterotrophs + live moss), spruce and moss net productivity, and net carbon accumulation in the soil.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807648526-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807648526-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807650141-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807650141-ORNL_CLOUD.html",
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"description": "Contains TE-01 methane flux and inorganic concentrations at the southern study area fen site.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807648575-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807648575-ORNL_CLOUD.html",
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"license": "proprietary"
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091512-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091512-ORNL_CLOUD.html",
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"description": "The BOREAS TE-20 team collected several data sets for use in developing and testing models of forest ecosystem dynamics. This data set contains measurements of site characteristics conducted in the SSA from 18-Jul-1994 to 30-Jul-1994.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130459-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130459-ORNL_CLOUD.html",
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"description": "Contains the soils lab data that were collected by TE-20 in 1994.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091530-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091530-ORNL_CLOUD.html",
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"description": "Data for use in developing and testing models of forest ecosystem dynamics. The data set describes the soils and landscape characteristics of the NSA-MSA and tower sites.",
"license": "proprietary"
},
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"bbox": "-106.2, 53.63, -97.87, 55.93",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130516-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130516-ORNL_CLOUD.html",
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"description": "Contains meteorological measurement data collected by TE-21.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091680-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091680-ORNL_CLOUD.html",
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"description": "The BOREAS TE-22 team collected data sets in support of its efforts to characterize and interpret information on the forest structure of boreal vegetation in the SSA and NSA during the 1994 growing season.",
"license": "proprietary"
},
@@ -241756,7 +244538,7 @@
"bbox": "-105.14, 53.94, -105.14, 53.94",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091720-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091720-ORNL_CLOUD.html",
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"description": "Tree core data from several sites in the SSA and NSA collected in order to perform historical growth studies and relate the information to their modeling activities. The cores were collected during the summer of 1994 in the Northern and Southern Study Areas. A sample of the file types resulting from the analysis of the tree cores is provided. ",
"license": "proprietary"
},
@@ -241769,7 +244551,7 @@
"bbox": "-106.2, 53.59, -97.34, 56",
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091754-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130597-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807652682-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807653050-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127501-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2807652390-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807652390-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127572-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127572-ORNL_CLOUD.html",
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808127926-ORNL_CLOUD.html",
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"license": "proprietary"
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128013-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128013-ORNL_CLOUD.html",
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"license": "proprietary"
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@@ -241886,7 +244668,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128106-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128106-ORNL_CLOUD.html",
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},
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128293-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128221-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128380-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128623-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128654-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128749-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128688-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2807606269-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808128479-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808129316-ORNL_CLOUD.html",
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"description": "Contains values of canopy biochemistry derived by the TE-09 team. ",
"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808130902-ORNL_CLOUD.html",
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131067-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131091-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131145-ORNL_CLOUD.html",
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"description": "Contains decomposition rates of a standard substrate (wheat straw).",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131130-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131130-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091118-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091118-ORNL_CLOUD.html",
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"license": "proprietary"
},
@@ -242289,7 +245071,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091049-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091049-ORNL_CLOUD.html",
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"license": "proprietary"
},
@@ -242302,7 +245084,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808090702-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808090702-ORNL_CLOUD.html",
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},
@@ -242315,7 +245097,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091100-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091100-ORNL_CLOUD.html",
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"description": "Contains the TF-11 soil surface CO2 flux data that were measured using a portable gas exchange system.",
"license": "proprietary"
},
@@ -242328,7 +245110,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131174-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131174-ORNL_CLOUD.html",
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808092858-ORNL_CLOUD.html",
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"license": "proprietary"
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"description": "CO2 and H2O vapor exchange and ancillary data collected from enclosures around the black spruce branches. Data collected by the TF-09 group at the SSA-OBS site.",
"license": "proprietary"
},
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"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808091208-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132198-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132223-ORNL_CLOUD.html",
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"license": "proprietary"
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132327-ORNL_CLOUD.html",
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"license": "proprietary"
},
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"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093149-ORNL_CLOUD.html",
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"description": "This data set contains (1) estimates of soil carbon stocks by horizon based on soil survey data and analyses of data from individual soil profiles; (2) estimates of soil carbon fluxes based on stocks, fire history, drainage, and soil C inputs and decomposition constants based on field work using radiocarbon analyses; (3) fire history data estimating age ranges of time since last fire; (4) a raster image and an associated soils table file from which area-weighted maps of soil carbon and fluxes and fire history may be generated.",
"license": "proprietary"
},
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132353-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132353-ORNL_CLOUD.html",
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"license": "proprietary"
},
@@ -242549,7 +245331,7 @@
"bbox": "-98.62, 55.88, -97.71, 55.93",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808087726-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808087726-ORNL_CLOUD.html",
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"description": "Contains RADON-222 activity in soil gas collected by TGB-12 at 5 BOREAS auxiliary sites in the northern study area.",
"license": "proprietary"
},
@@ -242562,7 +245344,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808089765-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808089765-ORNL_CLOUD.html",
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"description": "Contains RADON-222 flux data data collected by TGB-12 in the northern study area.",
"license": "proprietary"
},
@@ -242575,7 +245357,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808089794-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808089794-ORNL_CLOUD.html",
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"description": "Contains the soil carbon data collected by TGB-12 in the northern study area.",
"license": "proprietary"
},
@@ -242588,7 +245370,7 @@
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"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093474-ORNL_CLOUD.umm_json",
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"license": "proprietary"
},
@@ -242744,7 +245526,7 @@
"bbox": "-99.87, 55.15, -96.52, 56.17",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131554-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131554-ORNL_CLOUD.html",
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"description": "Contains the TGB-05 NO and N2O flux data for sites in the Northern Study Area. ",
"license": "proprietary"
},
@@ -242757,7 +245539,7 @@
"bbox": "-104.69, 55.84, -98.03, 55.93",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131966-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131966-ORNL_CLOUD.html",
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"description": "Contains 1993, 1994, and 1996 methane concentrations from TGB-06 in the NSA and SSA.",
"license": "proprietary"
},
@@ -242770,7 +245552,7 @@
"bbox": "-106.07, 53.92, -106.07, 53.92",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131993-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131993-ORNL_CLOUD.html",
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"description": "Contains herbicide and organic chlorine concentrations in ambient air samples for TGB-07 in the SSA.",
"license": "proprietary"
},
@@ -242783,7 +245565,7 @@
"bbox": "-106.07, 53.92, -106.07, 53.92",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132025-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132025-ORNL_CLOUD.html",
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"description": "Contains herbicide and organic chlorine fluxes in dry deposition samples for TGB-07 in the SSA.",
"license": "proprietary"
},
@@ -242796,7 +245578,7 @@
"bbox": "-106.07, 53.92, -106.07, 53.92",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132038-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132038-ORNL_CLOUD.html",
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"description": "Contains 1993 and 1994 herbicide concentrations in rain samples for TGB-07 in the SSA.",
"license": "proprietary"
},
@@ -242809,7 +245591,7 @@
"bbox": "-105.12, 53.92, -104.69, 53.99",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132062-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132062-ORNL_CLOUD.html",
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"description": "Contains monoterpene emission and concentration data collected by the TGB-08 BOREAS science group.",
"license": "proprietary"
},
@@ -242822,7 +245604,7 @@
"bbox": "-105.12, 53.92, -104.69, 53.99",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132108-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132108-ORNL_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHRnYi0wNyByYWlud2F0ZXIgaGVyYmljaWRlIGFuZCBvcmdhbm9jaGxvcmluZSBjb25jZW50cmF0aW9uIGRhdGFcIixcIk9STkxfQ0xPVURcIixcInRnYjdyd2hvXzM5MVwiLFwiMVwiLDI4MDgxMzIwMzgsMl0iLCJ1bW0iOiJbXCJib3JlYXMgdGdiLTA3IHJhaW53YXRlciBoZXJiaWNpZGUgYW5kIG9yZ2Fub2NobG9yaW5lIGNvbmNlbnRyYXRpb24gZGF0YVwiLFwiT1JOTF9DTE9VRFwiLFwidGdiN3J3aG9fMzkxXCIsXCIxXCIsMjgwODEzMjAzOCwyXSJ9/tgb8prds_393_1",
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"description": "Contains TGB-08 Photosynthesis data measured at 30C by month.",
"license": "proprietary"
},
@@ -242835,7 +245617,7 @@
"bbox": "-105.12, 53.92, -104.69, 53.99",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132136-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132136-ORNL_CLOUD.html",
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"description": "Contains starch concentration data collected by TGB-08 from the SSA-OBS and SSA-OJP BOREAS sites in 1994.",
"license": "proprietary"
},
@@ -242848,7 +245630,7 @@
"bbox": "-106.2, 53.63, -104.69, 53.99",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132169-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808132169-ORNL_CLOUD.html",
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"description": "Contains the mixing ratio and concentration of Non-Methane HydroCarbons (NMHC) taken by the TGB-09 group.",
"license": "proprietary"
},
@@ -242861,7 +245643,7 @@
"bbox": "-98.42, 55.92, -98.42, 55.92",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131382-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808131382-ORNL_CLOUD.html",
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"description": "Contains TGB-03 methane flux data for fens in the Northern Study Area.",
"license": "proprietary"
},
@@ -242874,7 +245656,7 @@
"bbox": "-98.42, 55.92, -98.42, 55.92",
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"license": "proprietary"
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"license": "proprietary"
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"license": "proprietary"
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"description": "Measurements from the North Australian Coast in the Timur and Arafura Seas in 1999.",
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"description": "The Met Office C-130 research aircraft was based at Windhoek, Namibia, between September 5-16, 2000, where it conducted a series of flights over Namibia as part of the SAFARI 2000 Dry Season Aircraft Campaign. The aims of the Met Office's research were as follows: (1) In-situ measurements of the physical, chemical and optical properties of the aerosol. The data set includes aerosol samples ranging from near source regions to aged plumes several hundreds of kilometres from source, some of which have been cloud processed. (2) Investigation of the direct radiative impact of aerosol over sea, land and low-level cloud. (3) In-situ measurements of aerosol properties in conjunction with ground-based sites to validate the ground-based retrievals of, for example, aerosol size distributions. (4) In-situ measurements of aerosol properties in conjunction with TERRA overpasses, in order to validate the satellite-based retrievals of aerosol properties. (5) In-situ measurements of stratus/stratocumulus cloud of Namibia/Angola in conjunction with TERRA overpasses, in order to validate satellite-based retrievals of cloud properties.",
"license": "proprietary"
},
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"description": "Various aspects of primary production of a variety of plant species found in natural temperate biomes were compiled from literature and presented for use with process-based ecosystem simulation models or ecosystem studies. Information was selected according to the input parameter needs of the BIOME-BGC process-based simulation model.",
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"description": "This data set is a subset of a global vegetation and soils data set by Wilson and Henderson-Sellers (1985a). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The data are in ASCII GRID format.The original global data set (Wilson and Henderson-Sellers 1985a) is an archive of soil type and land cover data derived for use in general circulation models (GCMs). The data were collated from maps depicting natural vegetation, forestry, agriculture, land use, and soil, and they were archived at a resolution of 1 latitude by 1 longitude. The data set indicates soil type, soil data reliability, primary vegetation, secondary vegetation, and land cover data reliability. Approximately 50 land cover classifications are used, including categories for agricultural and urban uses. The inclusion of secondary vegetation type is particularly useful in areas with cover types that may have a fragmented distribution, such as in areas of urban development. The soil type data are classified according to climatically important properties for GCMs, and they indicate color (light, medium, or dark), texture, and drainage quality of the soil. The land cover data are compatible with the soils data, forming a coherent and consistent data set. The reliability of the land cover data is ranked on a scale of 1 to 5 (high to low). The reliability of the soil data is ranked as high, good, moderate, fair, or poor.Recommendations for the use of these data, as well as more detailed information can be found in Wilson and Henderson-Sellers (1985b).Further data set information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/wilhend/comp/wilhend_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.",
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"description": "This data set is a subset of a 0.5-degree gridded temperature and precipitation data set for South America (Willmott and Webber 1998). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA), defined as 10 N to 25 S, 30 to 85 W. The data are in ASCII GRID format. The data consist of the following: Monthly mean air temperature time series (1960-1990), in degrees C: monthly mean air temperatures for 1960-1990 cross validation errors associated with time series monthly mean air temperatures for 1960-1990, DEM assisted interpolation cross validation errors associated with DEM assisted interpolation time series Monthly mean air temperature climatology, in degrees C: climatic means of monthly and annual air temperatures cross validation errors associated with climatic means climatic means of monthly and annual mean air temperatures, DEM assisted interpolation cross validation errors associated with DEM assisted interpolation climatic means Monthly total precipitation time series (1960-1990), in millimeters: monthly precipitation totals for 1960-1990 cross validation errors associated with time series monthly precipitation totals for 1960-1990, climatologically aided interpolation cross validation errors associated with climatologically aided interpolation time series Monthly total precipitation climatology, in millimeters: climatic means of monthly and annual precipitation totals cross validation errors associated with climatic means More information about the full data set can be found at \"Willmott, Matsuura, and Collaborators' Global Climate Resource Pages\" (http://climate.geog.udel.edu/~climate) at the University of Delaware. To obtain the original documentation and data, follow the link for \"Available Climate Data,\" register or sign in, and follow the link for \"South American Climate Data.\" Information on the LBA subset can be found at ftp://daac.ornl.gov/data/lba/physical_climate/willmott/comp/willmott_readme.pdf. ",
"license": "proprietary"
},
@@ -246202,7 +248984,7 @@
"bbox": "-100, 25, -60, 50",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093948-ORNL_CLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093948-ORNL_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1widmVtYXAgMjogbW9udGhseSBoaXN0b3JpY2FsIGFuZCBmdXR1cmUgY2xpbWF0ZSBkYXRhLCBhbGFza2EsIHVzYVwiLFwiT1JOTF9DTE9VRFwiLFwidmVtYXAtMV9WRU1BUF9BbGFza2FfMTM0NFwiLFwiMVwiLDI5NDUzOTI2MDYsMV0iLCJ1bW0iOiJbXCJ2ZW1hcCAyOiBtb250aGx5IGhpc3RvcmljYWwgYW5kIGZ1dHVyZSBjbGltYXRlIGRhdGEsIGFsYXNrYSwgdXNhXCIsXCJPUk5MX0NMT1VEXCIsXCJ2ZW1hcC0xX1ZFTUFQX0FsYXNrYV8xMzQ0XCIsXCIxXCIsMjk0NTM5MjYwNiwxXSJ9/woody_biomass_657_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1widmVtYXAgMjogbW9udGhseSBlY29zeXN0ZW0gbW9kZWwgcmVzcG9uc2VzIHRvIHUucy4gY2xpbWF0ZSBjaGFuZ2UsIDE5OTQtMjEwMFwiLFwiT1JOTF9DTE9VRFwiLFwidmVtYXAtMl9yZXN1bHRzX21vbnRobHlfNzY3XCIsXCIxXCIsMjkwODcwNDg0NywyXSIsInVtbSI6IltcInZlbWFwIDI6IG1vbnRobHkgZWNvc3lzdGVtIG1vZGVsIHJlc3BvbnNlcyB0byB1LnMuIGNsaW1hdGUgY2hhbmdlLCAxOTk0LTIxMDBcIixcIk9STkxfQ0xPVURcIixcInZlbWFwLTJfcmVzdWx0c19tb250aGx5Xzc2N1wiLFwiMVwiLDI5MDg3MDQ4NDcsMl0ifQ%3D%3D/woody_biomass_657_1",
"description": "Estimates of the woody biomass density and pools were derived at the county scale of resolution of all forests of the eastern United States using new approaches for converting inventoried wood volume to estimates of above and belowground biomass.",
"license": "proprietary"
},
diff --git a/nasa_cmr_catalog.tsv b/nasa_cmr_catalog.tsv
index 2be53b5..3b1f2dc 100644
--- a/nasa_cmr_catalog.tsv
+++ b/nasa_cmr_catalog.tsv
@@ -2420,21 +2420,21 @@ AST_L1B_003 ASTER L1B Registered Radiance at the Sensor V003 LPDAAC_ECS STAC Cat
AST_L1T_003 ASTER Level 1 precision terrain corrected registered at-sensor radiance V003 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000320-LPDAAC_ECS.umm_json The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B (AST_L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003), that has been geometrically corrected, and rotated to a north-up UTM projection. The AST_L1T is created from a single resampling of the corresponding ASTER L1A (AST_L1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) product. The bands available in the AST_L1T depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T dataset does not include the aft-looking VNIR band 3. The precision terrain correction process incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover). For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution in both as a text file and a single band browse images with the valid GCPs overlaid. This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depends on the bands available in the corresponding (AST_L1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) dataset. proprietary
AST_L1T_031 ASTER Level 1 Precision Terrain Corrected Registered At-Sensor Radiance V031 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2052604735-LPDAAC_ECS.umm_json The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) Version 3.1 data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B AST_L1B (https://doi.org/10.5067/ASTER/AST_L1B.003), that has been geometrically corrected and rotated to a north-up UTM projection. The AST_L1T V3.1 is created from a single resampling of the corresponding ASTER L1A AST_L1A (https://doi.org/10.5067/ASTER/AST_L1A.003) product. Radiometric calibration coefficients Version 5 (RCC V5) are applied to this product to improve the degradation curve derived from vicarious and lunar calibrations. The bands available in the AST_L1T V3.1 depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T V3.1 dataset does not include the aft-looking VNIR band 3. The 3.1 version uses a precision terrain correction process that incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover). For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution in both a text file and a single band browse image with the valid GCPs overlaid. This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depend on the bands available in the corresponding AST_L1A dataset. The AST_L1T V3.1 data product is only available through NASA’s Earthdata Search. The ASTER L1T V3.1 Order Instructions provide step-by-step directions for ordering this product. proprietary
ATCS_0 The A-Train Cloud Segmentation Dataset OB_DAAC STAC Catalog 2007-11-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2172083412-OB_DAAC.umm_json ATCS is a dataset designed to train deep learning models to volumetrically segment clouds from multi-angle satellite imagery. The dataset consists of spatiotemporally aligned patches of multi-angle polarimetry from the POLDER sensor aboard the PARASOL mission and vertical cloud profiles from the 2B-CLDCLASS product using the cloud profiling radar (CPR) aboard CloudSat. proprietary
-ATL02_006 ATLAS/ICESat-2 L1B Converted Telemetry Data V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.umm_json This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations. proprietary
ATL02_006 ATLAS/ICESat-2 L1B Converted Telemetry Data V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.umm_json This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations. proprietary
-ATL03_006 ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.umm_json This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03. proprietary
+ATL02_006 ATLAS/ICESat-2 L1B Converted Telemetry Data V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.umm_json This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations. proprietary
ATL03_006 ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2559919423-NSIDC_ECS.umm_json This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03. proprietary
+ATL03_006 ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.umm_json This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03. proprietary
ATL03_ANC_MASKS_1 ATLAS/ICESat-2 ATL03 Ancillary Masks, Version 1 NSIDCV0 STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2278879612-NSIDCV0.umm_json This ancillary ICESat-2 data set contains four static surface masks (land ice, sea ice, land, and ocean) provided by ATL03 to reduce the volume of data that each surface-specific along-track data product is required to process. For example, the land ice surface mask directs the ATL06 land ice algorithm to consider data from only those areas of interest to the land ice community. Similarly, the sea ice, land, and ocean masks direct ATL07, ATL08, and ATL12 algorithms, respectively. A detailed description of all four masks can be found in section 4 of the Algorithm Theoretical Basis Document (ATBD) for ATL03 linked under technical references. proprietary
-ATL04_006 ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL04_006 ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
-ATL06_006 ATLAS/ICESat-2 L3A Land Ice Height V006 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.umm_json This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
+ATL04_006 ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL06_006 ATLAS/ICESat-2 L3A Land Ice Height V006 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.umm_json This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
+ATL06_006 ATLAS/ICESat-2 L3A Land Ice Height V006 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.umm_json This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL07QL_006 ATLAS/ICESat-2 L3A Sea Ice Height Quick Look V006 NSIDC_ECS STAC Catalog 2024-06-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548344839-NSIDC_ECS.umm_json ATL07QL is the quick look version of ATL07. Once final ATL07 files are available, the corresponding ATL07QL files will be removed. ATL07 contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL07_006 ATLAS/ICESat-2 L3A Sea Ice Height V006 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.umm_json The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL07_006 ATLAS/ICESat-2 L3A Sea Ice Height V006 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL08QL_006 ATLAS/ICESat-2 L3A Land and Vegetation Height Quick Look V006 NSIDC_ECS STAC Catalog 2024-05-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548345108-NSIDC_ECS.umm_json ATL08QL is the quick look version of ATL08. Once final ATL08 files are available the corresponding ATL08QL files will be removed. ATL08 contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
-ATL08_006 ATLAS/ICESat-2 L3A Land and Vegetation Height V006 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL08_006 ATLAS/ICESat-2 L3A Land and Vegetation Height V006 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
+ATL08_006 ATLAS/ICESat-2 L3A Land and Vegetation Height V006 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL09QL_006 ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics Quick Look V006 NSIDC_ECS STAC Catalog 2024-05-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2551528419-NSIDC_ECS.umm_json ATL09QL is the quick look version of ATL09. Once final ATL09 files are available the corresponding ATL09QL files will be removed. ATL09 contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL09_006 ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2607017115-NSIDC_ECS.umm_json This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL09_006 ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.umm_json This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
@@ -2446,30 +2446,30 @@ ATL11_006 ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series V006 NS
ATL12_006 ATLAS/ICESat-2 L3A Ocean Surface Height V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553216-NSIDC_CPRD.umm_json This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL12_006 ATLAS/ICESat-2 L3A Ocean Surface Height V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2560378689-NSIDC_ECS.umm_json This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL13QL_006 ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data Quick Look V006 NSIDC_ECS STAC Catalog 2024-06-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2650092501-NSIDC_ECS.umm_json ATL13QL is the quick look version of ATL13. Once final ATL13 files are available the corresponding ATL13QL files will be removed. ATL13 contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7 km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit). proprietary
-ATL13_006 ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit). proprietary
ATL13_006 ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit). proprietary
+ATL13_006 ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit). proprietary
ATL14_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003 NSIDC_ECS STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776464127-NSIDC_ECS.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
ATL14_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003 NSIDC_CPRD STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776895337-NSIDC_CPRD.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
-ATL14_004 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004 NSIDC_ECS STAC Catalog 2019-01-01 2023-12-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3159684163-NSIDC_ECS.umm_json This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11). proprietary
ATL14_004 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004 NSIDC_CPRD STAC Catalog 2019-01-01 2023-12-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3162179692-NSIDC_CPRD.umm_json This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11). proprietary
-ATL15_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003 NSIDC_ECS STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776464171-NSIDC_ECS.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
+ATL14_004 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004 NSIDC_ECS STAC Catalog 2019-01-01 2023-12-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3159684163-NSIDC_ECS.umm_json This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11). proprietary
ATL15_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003 NSIDC_CPRD STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776895930-NSIDC_CPRD.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
-ATL15_004 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004 NSIDC_CPRD STAC Catalog 2019-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.umm_json This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11). proprietary
+ATL15_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003 NSIDC_ECS STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776464171-NSIDC_ECS.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
ATL15_004 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004 NSIDC_ECS STAC Catalog 2019-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3159684532-NSIDC_ECS.umm_json This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11). proprietary
+ATL15_004 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004 NSIDC_CPRD STAC Catalog 2019-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.umm_json This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11). proprietary
ATL16_005 ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V005 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2769337070-NSIDC_CPRD.umm_json This product reports weekly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency. proprietary
ATL16_005 ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V005 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2737997243-NSIDC_ECS.umm_json This product reports weekly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency. proprietary
ATL17_005 ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2769338020-NSIDC_CPRD.umm_json This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency. proprietary
ATL17_005 ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2737997483-NSIDC_ECS.umm_json This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency. proprietary
-ATL19_003 ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003 NSIDC_ECS STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2746899536-NSIDC_ECS.umm_json This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography. proprietary
ATL19_003 ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2754956786-NSIDC_CPRD.umm_json This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography. proprietary
-ATL20_004 ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2666857908-NSIDC_ECS.umm_json ATL20 contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection. proprietary
+ATL19_003 ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003 NSIDC_ECS STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2746899536-NSIDC_ECS.umm_json This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography. proprietary
ATL20_004 ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2753295020-NSIDC_CPRD.umm_json ATL20 contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection. proprietary
+ATL20_004 ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2666857908-NSIDC_ECS.umm_json ATL20 contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection. proprietary
ATL21_003 ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2753316241-NSIDC_CPRD.umm_json ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids. proprietary
ATL21_003 ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2737912334-NSIDC_ECS.umm_json ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids. proprietary
ATL22_003 ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2761722214-NSIDC_CPRD.umm_json ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers. proprietary
ATL22_003 ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003 NSIDC_ECS STAC Catalog 2018-10-14 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.umm_json ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers. proprietary
-ATL23_001 ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.umm_json This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates. proprietary
ATL23_001 ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001 NSIDC_ECS STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.umm_json This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates. proprietary
+ATL23_001 ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.umm_json This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates. proprietary
ATLAS_DEALIASED_SASS_L2_1 SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (Atlas) POCLOUD STAC Catalog 1978-07-07 1978-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617197627-POCLOUD.umm_json Contains wind speeds and directions derived from the Seasat-A Scatterometer (SASS), presented chronologically by swath for the period between 7 July 1978 and 10 October 1978. Robert Atlas et al. (1987) produced this product using an objective ambiguity removal scheme to dealias the wind vector data binned at 100 km cells, which were calculated by Frank Wentz. proprietary
ATLAS_Veg_Plots_1541_1 Arctic Vegetation Plots ATLAS Project North Slope and Seward Peninsula, AK, 1998-2000 ORNL_CLOUD STAC Catalog 1998-07-01 2000-07-29 -165.07, 64.73, -153.74, 71.32 https://cmr.earthdata.nasa.gov/search/concepts/C2162120307-ORNL_CLOUD.umm_json This data set provides environmental, soil, and vegetation data collected from study sites on the North Slope and Seward Peninsula of Alaska during the Arctic Transition in Land-Atmosphere System (ATLAS) project. ATLAS-1 sites on the North Slope, located in Barrow, Atqasuk, Oumalik, and Ivotuk, were sampled in 1998-1999. ATLAS-2 sites located at Council and Quartz Creek on the Seward Peninsula were sampled in 2000. Specific attributes include dominant vegetation species and cover, biomass, soil chemistry and moisture, leaf area index (LAI), normalized difference vegetation index (NDVI), topography and elevation, and plant cover abundance. proprietary
ATMOSL1_3 ATMOS L1 Spectra and Runlogs V3 (ATMOSL1) at GES DISC GES_DISC STAC Catalog 1985-04-30 1994-11-12 -180, -73, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2234896943-GES_DISC.umm_json This is the version 3 Atmospheric Trace Molecule Spectroscopy (ATMOS) Level 1 product containing spectra and runlog (i.e. ) information in a netCDF format. ATMOS is an infrared spectrometer (a Fourier transform interferometer) designed to derive vertical concentrations of various trace gases in the atmosphere, particularly the ozone depleting chlorine and fluorine based molecules. The transmission spectra are ratioed from ATMOS high sun observations, on a scale of 0 to 1. Data files also include time, geolocation and other information. The data were collected during four space shuttle missions: STS-51B/Spacelab 3 (April 30 to May 1, 1985), STS-45/ATLAS-1 (March 25 to April 2, 1992), STS-55/ATLAS-2 (April 8 to 16, 1993), and STS-66/ATLAS-3 (November 3 to 12, 1994). Data are written to separate files grouped by mission (sl3, at1, at2 or at3), and occultation type (sunrise or sunset) and number. proprietary
@@ -2501,6 +2501,7 @@ ATom_CESM2_1878_1 ATom: CAM-chem/CESM2 Model Outputs Along Flight Tracks, 2016-2
ATom_CIT_Instrument_Data_V2_1927_2 ATom: In Situ Data from Caltech Chemical Ionization Mass Spectrometer (CIT-CIMS), V2 ORNL_CLOUD STAC Catalog 2016-07-29 2018-05-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2677129501-ORNL_CLOUD.umm_json This dataset provides the concentrations of gas-phase organic and inorganic analytes measured by the California Institute of Technology (CIT) Chemical Ionization Mass Spectrometer (CIMS), or CIT-CIMS, flown on the NASA DC-8 aircraft during the four ATom campaigns. The CIT-CIMS employs CF3O-ion chemistry with two independent mass spectrometers (compact time-of-flight and triple quadrupole) to enable sensitive and specific measurements of atmospheric trace gases. The measurements include hydrogen peroxide (H2O2), hydrogen cyanide (HCN), nitric acid (HNO3), methyl hydrogen peroxide (CH3OOH), peroxyacetic acid (C2O3H4), peroxynitric acid (HO2NO2), and sulfur dioxide (SO2), in units of parts-per-trillion-by-volume. proprietary
ATom_CO_GEOS_1604_1 ATom: Observed and GEOS-5 Simulated CO Concentrations with Tagged Tracers for ATom-1 ORNL_CLOUD STAC Catalog 2016-07-29 2016-08-23 -180, -65.33, 179.98, 80.01 https://cmr.earthdata.nasa.gov/search/concepts/C2704963648-ORNL_CLOUD.umm_json This dataset contains carbon monoxide (CO) observations at 10-second intervals from flights during the ATom-1 campaign in 2016 and simulated CO concentrations from the Goddard Earth Observing System version 5 (GEOS-5) model for the corresponding locations along the ATom flight tracks. The Atmospheric Tomography Mission (ATom) is a NASA Earth Venture Suborbital-2 mission studying the impact of human-produced air pollution on greenhouse gases and on chemically reactive gases in the atmosphere. The airborne observations were collected using the Quantum Cascade Laser System (QCLS) instrument, a high-frequency laser spectroscopy instrument for in situ atmospheric gas sampling. This dataset provides a direct comparison of observational and simulated CO that will be used to inform future atmospheric modeling experiments. The dataset also contains simulated tagged-CO tracer concentrations, which represent the contribution of specific regional sources to the total simulated CO. This dataset contributes to one of the ATom mission objectives to create an observation-based chemical climatology of important atmospheric constituents and their reactivity in the remote troposphere. proprietary
ATom_Carbon_Aerosol_Loadings_1618_1 ATom: Black Carbon Mass Mixing Ratios from ATom-1 Flights ORNL_CLOUD STAC Catalog 2016-07-29 2016-08-23 -180, -65.33, 178.99, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2675840774-ORNL_CLOUD.umm_json This dataset provides black carbon (BC) mass mixing ratios (in units of ng BC / kg air) measured during NASA's Atmospheric Tomography (ATom)-1 flight campaign during July and August 2016. The BC-core masses of BC-containing aerosol particles were measured using a Single Particle Soot Photometer (SP2). Conversion to mass mixing ratio (MMR) is achieved by monitoring sample flow. Influences in air mass composition were determined using the Particle Analysis by Laser Mass Spectrometry (PALMS) instruments. Also included here are data from the Cloud, Aerosol and Precipitation Spectrometer (CAPS) instrument which are used to identify measurements taken while in clouds. Finally, the associated latitude, longitude, altitude, and the timestamp of each measurement are included. All data are at ten seconds resolution. ATom-1 flights originated from the Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America. proprietary
+ATom_Clouds_Aerosols_2250_1 ATom: Development of Cloud Indicator Algorithm Using Airborne Observations from CAPS ORNL_CLOUD STAC Catalog 2016-07-01 2019-09-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3237458908-ORNL_CLOUD.umm_json This dataset is the basis for the development of the Cloud Indicator, a novel algorithm that automatically detects and classifies measurement periods inside clouds. The included data were used in the analysis and development of figures for the related publication. The Cloud Indicator algorithm was developed based on particle size distribution measurements from a second-generation Cloud, Aerosol, and Precipitation Spectrometer (CAPS) combined with measurements of relative humidity and temperature from other sensors, to automatically detect flight sequences in clouds and classify the cloud type. Measurements were collected on 2016-08-20 as part of the Atmospheric Tomography Mission (ATom-1) Campaign and on 2017-04-20 as part of the Absorbing aerosol layers in a changing climate: aging, LIFEtime and dynamics (A-LIFE) project. As an additional criterion for the Cloud Indicator, a cloud-aerosol volume factor was established to ensure a precise and robust distinction between clouds and aerosol layers such as mineral dust or biomass burning to reduce misclassifications. Data are provided in netCDF (*.nc) format. proprietary
ATom_DLH_Instrument_Data_V2_1937_2 ATom: In Situ Atmospheric Water Vapor from the Diode Laser Hygrometer, Version 2 ORNL_CLOUD STAC Catalog 2016-07-29 2018-05-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2677094274-ORNL_CLOUD.umm_json This dataset provides the concentrations of water measured by the Diode Laser Hygrometer (DLH) flown on the NASA DC-8 during the ATom 1-4 campaigns from 2016 - 2018. The DLH measures the water vapor in the atmosphere by wavelength modulated differential absorption spectroscopy of an isolated rovibrational line. The measurements include water vapor mixing ratio in parts-per-million-by-volume (ppmv) and relative humidity in percent. Relative humidity, both with respect to liquid water and with respect to ice, are quantities derived from measurements of water vapor mixing ratio as well as ambient temperature and pressure. proprietary
ATom_FlightTrack_Influences_1889_1 ATom: Back Trajectories and Influences of Air Parcels Along Flight Track, 2016-2018 ORNL_CLOUD STAC Catalog 2016-07-29 2018-05-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2704882261-ORNL_CLOUD.umm_json This dataset contains back trajectories, boundary layer influences, and convective influences of air parcels along NASA DC-8 aircraft's flight tracks during the four ATom campaigns that occurred from 2016 to 2018. Back trajectories were interpolated using National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) and Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA2) meteorology. Back trajectory analysis determines the origin of air masses by modeling the path of an air parcel backward in time. It can be used to better understand the sources of atmospheric compounds. Boundary layer Influences were determined based on 30 Day Back Trajectories. The atmospheric boundary layer is the lowest part of the troposphere that is directly influenced by earth's surface. The boundary layer influences wind patterns and thus the dispersal of pollutants and other atmospheric compounds of interest. Convective influences were based on 10 Day Back Trajectories and NASA Langley cloud products. Convective influences model the effects of convection on the movement of water vapor through the atmosphere, which influences cloud behavior. proprietary
ATom_Forward_Flight_Videos_1938_1 ATom: DC-8 Forward Camera Videos, 2016-2017 ORNL_CLOUD STAC Catalog 2016-08-01 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2677088418-ORNL_CLOUD.umm_json This dataset contains images taken from the front of the NASA DC-8 aircraft during the first three ATom campaigns from 2016-2017. Images were taken with an Axis P1357 High Definition camera with a Theia TH138A wide-angle lens. These images were then stitched together at a 10-second frequency into an MP4 (*.mp4) video for each flight. The forward camera shows the visible atmosphere that DC-8 flew through, allowing the in situ measurements to be placed in the context of cloud fields, smoke and haze layers, and boundary layers. proprietary
@@ -4193,12 +4194,12 @@ CLDMSK_L2_VIIRS_NOAA20_1 VIIRS/NOAA20 Cloud Mask and Spectral Test Results 6-Min
CLDMSK_L2_VIIRS_NOAA20_NRT_1 VIIRS/NOAA-20 Cloud Mask L2 6-Min Swath 750m (NRT) ASIPS STAC Catalog 2020-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2003160566-ASIPS.umm_json The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_NOAA20_NRT is the shortname for the NOAA-20 VIIRS Near Real-time incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the NOAA-20 VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the NOAA-20 VIIRS L2 Cloud mask is 750 meters. proprietary
CLDMSK_L2_VIIRS_SNPP_1 VIIRS/Suomi-NPP Cloud Mask 6-Min Swath 750 m LAADS STAC Catalog 2012-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1562021084-LAADS.umm_json The VIIRS/Suomi-NPP Cloud Mask 6-Min Swath 750m product is a Level-2 product generated at 750-m (at nadir) spatial resolutions. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence that an unobstructed view of the Earth's surface has been observed. An indication of shadows affecting the scene is also provided. Radiometrically-accurate radiances are required, thus holes in the Cloud Mask will appear wherever the input radiances are incomplete or of poor quality assurance. For more information consult Product Page at: https://cimss.ssec.wisc.edu/MVCM/ proprietary
CLDMSK_L2_VIIRS_SNPP_NRT_1 VIIRS/SNPP Cloud Mask L2 6-Min Swath 750m (NRT) ASIPS STAC Catalog 2019-04-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1607563719-ASIPS.umm_json The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_SNPP is the shortname for the SNPP VIIRS incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the SNPP VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the SNPP VIIRS L2 Cloud mask is 750 meters. proprietary
-CLDPROPCOSP_D3_MODIS_Aqua_1.1 MODIS/Aqua Cloud Properties Level 3 daily, 1x1 deg. grid LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2947062938-LAADS.umm_json The MODIS/Aqua Cloud Properties Level 3 daily, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_D3_MODIS_Aqua. It contains MODIS Aqua cloud mask, cloud top, and cloud optical retrieval data over daily timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 daily statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from July 4, 2002 and includes 365 granules each calendar year. proprietary
-CLDPROPCOSP_D3_VIIRS_NOAA20_1.1 VIIRS/NOAA20 Cloud Properties Level 3 daily, 1x1 deg. grid LAADS STAC Catalog 2018-02-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2946990777-LAADS.umm_json The VIIRS/NOAA20 Cloud Properties Level 3 daily, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_D3_VIIRS_NOAA20. It contains VIIRS NOAA-20 cloud mask, cloud top, and cloud optical retrieval data over daily timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 daily statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from February 17, 2018 and includes 365 granules each calendar year. proprietary
-CLDPROPCOSP_D3_VIIRS_SNPP_1.1 VIIRS/SNPP Cloud Properties Level 3 daily, 1x1 deg. grid LAADS STAC Catalog 2012-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2947023794-LAADS.umm_json The VIIRS/SNPP Cloud Properties Level 3 daily, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_D3_VIIRS_SNPP. It contains VIIRS SNPP cloud mask, cloud top, and cloud optical retrieval data over daily timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 daily statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from March 1, 2012 and includes 365 granules each calendar year. proprietary
-CLDPROPCOSP_M3_MODIS_Aqua_1.1 MODIS/Aqua Cloud Properties Level 3 monthly, 1x1 deg. grid LAADS STAC Catalog 2002-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2947036206-LAADS.umm_json The MODIS/Aqua Cloud Properties Level 3 monthly, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_M3_MODIS_Aqua. It contains MODIS Aqua cloud mask, cloud top, and cloud optical retrieval data over monthly timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 daily statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from August 1, 2002 and includes 12 granules each calendar year. proprietary
-CLDPROPCOSP_M3_VIIRS_NOAA20_1.1 VIIRS/NOAA20 Cloud Properties Level 3 monthly, 1x1 deg. grid LAADS STAC Catalog 2018-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2946981699-LAADS.umm_json The VIIRS/NOAA20 Cloud Properties Level 3 monthly, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_M3_VIIRS_NOAA20. It contains VIIRS SNPP cloud mask, cloud top, and cloud optical retrieval data over monthly timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 monthly statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from March 1, 2018 and includes 12 granules each calendar year. proprietary
-CLDPROPCOSP_M3_VIIRS_SNPP_1.1 VIIRS/SNPP Cloud Properties Level 3 monthly, 1x1 deg. grid LAADS STAC Catalog 2012-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2946998410-LAADS.umm_json The VIIRS/SNPP Cloud Properties Level 3 monthly, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_M3_VIIRS_SNPP. It contains VIIRS SNPP cloud mask, cloud top, and cloud optical retrieval data over monthly timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 monthly statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from March 1, 2012 and includes 12 granules each calendar year. proprietary
+CLDPROPCOSP_D3_MODIS_Aqua_1.1 MODIS/Aqua Cloud Properties COSP Level 3 daily, 1x1 deg. grid LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2947062938-LAADS.umm_json The MODIS/Aqua Cloud Properties COSP Level 3 daily, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_D3_MODIS_Aqua. It contains MODIS Aqua cloud mask, cloud top, and cloud optical retrieval data over daily timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 daily statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from July 4, 2002 and includes 365 granules each calendar year. proprietary
+CLDPROPCOSP_D3_VIIRS_NOAA20_1.1 VIIRS/NOAA20 Cloud Properties COSP Level 3 daily, 1x1 deg. grid LAADS STAC Catalog 2018-02-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2946990777-LAADS.umm_json The VIIRS/NOAA20 Cloud Properties COSP Level 3 daily, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_D3_VIIRS_NOAA20. It contains VIIRS NOAA-20 cloud mask, cloud top, and cloud optical retrieval data over daily timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 daily statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from February 17, 2018 and includes 365 granules each calendar year. proprietary
+CLDPROPCOSP_D3_VIIRS_SNPP_1.1 VIIRS/SNPP Cloud Properties COSP Level 3 daily, 1x1 deg. grid LAADS STAC Catalog 2012-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2947023794-LAADS.umm_json The VIIRS/SNPP Cloud Properties COSP Level 3 daily, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_D3_VIIRS_SNPP. It contains VIIRS SNPP cloud mask, cloud top, and cloud optical retrieval data over daily timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 daily statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from March 1, 2012 and includes 365 granules each calendar year. proprietary
+CLDPROPCOSP_M3_MODIS_Aqua_1.1 MODIS/Aqua Cloud Properties COSP Level 3 monthly, 1x1 deg. grid LAADS STAC Catalog 2002-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2947036206-LAADS.umm_json The MODIS/Aqua Cloud Properties COSP Level 3 monthly, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_M3_MODIS_Aqua. It contains MODIS Aqua cloud mask, cloud top, and cloud optical retrieval data over monthly timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 daily statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from August 1, 2002 and includes 12 granules each calendar year. proprietary
+CLDPROPCOSP_M3_VIIRS_NOAA20_1.1 VIIRS/NOAA20 Cloud Properties COSP Level 3 monthly, 1x1 deg. grid LAADS STAC Catalog 2018-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2946981699-LAADS.umm_json The VIIRS/NOAA20 Cloud Properties COSP Level 3 monthly, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_M3_VIIRS_NOAA20. It contains VIIRS SNPP cloud mask, cloud top, and cloud optical retrieval data over monthly timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 monthly statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from March 1, 2018 and includes 12 granules each calendar year. proprietary
+CLDPROPCOSP_M3_VIIRS_SNPP_1.1 VIIRS/SNPP Cloud Properties COSP Level 3 monthly, 1x1 deg. grid LAADS STAC Catalog 2012-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2946998410-LAADS.umm_json The VIIRS/SNPP Cloud Properties COSP Level 3 monthly, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_M3_VIIRS_SNPP. It contains VIIRS SNPP cloud mask, cloud top, and cloud optical retrieval data over monthly timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters). Consult the CLDPROPCOSP User Guide for details regarding how the L3 monthly statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from March 1, 2012 and includes 12 granules each calendar year. proprietary
CLDPROP_D3_MODIS_Aqua_1.1 MODIS/Aqua Cloud Properties Level 3 daily, 1x1 degree grid LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1655784008-LAADS.umm_json The Cloud Properties Level-3 gridded product is designed to facilitate continuity in cloud property statistics between the MODIS on the Aqua and Terra platforms and the common continuity products generated for the VIIRS (Visible Infrared Imaging Radiometer Suite) and the MODIS Aqua instruments. CLDPROP Level-3 statistical routines include scalar and histograms (1-D and 2-D) that are calculated identically to statistical datasets in the MODIS standard Level-3 product (MOD08 and MYD08 for MODIS Terra and Aqua, respectively). In addition, the same dataset names are used for all common datasets provided in both the continuity and standard Level-3 files. proprietary
CLDPROP_D3_VIIRS_NOAA20_1.1 VIIRS/SNPP Cloud Properties Level-3 daily 1x1 degree grid LAADS STAC Catalog 2018-03-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2023582667-LAADS.umm_json The VIIRS/NOAA20 Cloud Properties Level 3 daily, 1x1 degree grid product, shortname CLDPROP_D3_VIIRS_NOAA20, is a continuity product designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. The Cloud Properties in this product includes both Cloud-Optical Property (COP) and Cloud-Top Property parameters. This product ensures continuity of approach through a common algorithm that is applicable to both MODIS and VIIRS data by leveraging only those spectral channels that are common to both instruments. For more information, visit product page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/CLDPROP_D3_VIIRS_NOAA20 proprietary
CLDPROP_D3_VIIRS_SNPP_1.1 VIIRS/SNPP Cloud Properties Level 3 daily, 1x1 degree grid LAADS STAC Catalog 2012-01-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1655783763-LAADS.umm_json The VIIRS/SNPP Cloud Properties Level 3 daily, 1x1 degree grid product is designed to facilitate continuity in cloud property statistics between the MODIS on the Aqua and Terra platforms and the common continuity products generated for the VIIRS (Visible Infrared Imaging Radiometer Suite) and the MODIS Aqua instruments. CLDPROP Level-3 statistical routines include scalar and histograms (1-D and 2-D) that are calculated identically to statistical datasets in the MODIS standard Level-3 product (MOD08 and MYD08 for MODIS Terra and Aqua, respectively). In addition, the same dataset names are used for all common datasets provided in both the continuity and standard Level-3 files. proprietary
@@ -4921,9 +4922,13 @@ EGEE3_0 Gulf of Guinea climate and ocean circulation study (EGEE) project - Gulf
EGEE5_0 Gulf of Guinea climate and ocean circulation study (EGEES) OB_DAAC STAC Catalog 2007-06-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360227-OB_DAAC.umm_json Measurements made in the Gulf of Guinea off of west-central Africa in 2007 as part of the fifth cruise in the EGEE project (Gulf of Guinea climate and ocean circulation study, which is the oceanographic strand of the AMMA -African Monsoon Multidisciplinary Analyses program). proprietary
EIC12_Not provided ACID WATER SUSCEPTIBILITY WALES SCIOPS STAC Catalog 1970-01-01 -11, 48, 2, 61 https://cmr.earthdata.nasa.gov/search/concepts/C1214595230-SCIOPS.umm_json Estimate of the vulnerability of surface waters in Wales to acidification from the effects of atmospheric pollution. Estimates made on the basis of the sensitivity of receptor soils geology, watercourses and vegetation, each of which are recorded by digitization from published map sources. proprietary
EKAMSAT_Pilot_ASTRAL_0 Enhancing Knowledge of the Arabian Sea Marine environment through Science and Advanced Training (EKAMSAT) OB_DAAC STAC Catalog 2023-06-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2795192513-OB_DAAC.umm_json Enhancing Knowledge of the Arabian Sea Marine environment through Science and Advanced Training (EKAMSAT) is a collaborative Indo-US field campaign funded by the Ministry of Earth Sciences, Govt. of India and the Office of Naval Research, USA, focused on the acquisition of contemporary oceanographic and atmospheric datasets deemed critical for improving the predictive skills of operational monsoon models. The atmospheric and oceanographic datasets acquired will be used primarily to examine how oceanographic conditions such as recent SST increases, enhanced stratification, formation of boundary layers, a recurring warm water pool and other changes in the Arabian Sea are influencing the onset, intensity and length of the Indian monsoon. The campaign commenced with a pilot study in June 2023 in preparation for subsequent full-fledged field campaigns in May-June of 2024-2025. This and the following cruises target atmospheric and oceanographic measurements supplemented with limited bio-optical and biogeochemical observations to advance understanding of the influence of seasonally evolving mixed layer on biological productivity and biogeochemical cycling in northern Arabian Sea. Microtops data available at https://aeronet.gsfc.nasa.gov/new_web/cruises_v3/Roger_Revelle_23_0.html . proprietary
+ELOKA001_1 Baffin Bay Region Narwhal Research, Version 1 NSIDCV0 STAC Catalog 2001-01-01 2006-06-30 -85.24028, 62.69456, -51.37068, 76.32567 https://cmr.earthdata.nasa.gov/search/concepts/C1386206287-NSIDCV0.umm_json This data set highlights the research conducted by the Narwhal Tusk Research Project in Baffin Bay, between Canada and Greenland. Content includes laboratory and field studies directly investigating the physical and dental properties of the narwhal tusk, narwhal behavior, and an examination of the field expeditions and collected interviews from Inuit community members. proprietary
+ELOKA033_1 Atlas of Community-Based Monitoring in a Changing Arctic (Arctic CBM), Version 1 NSIDCV0 STAC Catalog 2013-01-01 2016-12-31 -180, 66.6, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246215-NSIDCV0.umm_json This atlas showcases Arctic communities actively involved in observing social and environmental change. It was designed to highlight the many community-based monitoring (CBM) and traditional knowledge (TK) initiatives across the circumpolar region. proprietary
+ELOKA037_1 Cillaput: Our Weather, Yukon-Kuskowim Delta Weather Station Network, Version 1 NSIDCV0 STAC Catalog 2018-02-16 -165.62, 61.5, -163.56, 63.02 https://cmr.earthdata.nasa.gov/search/concepts/C2041284029-NSIDCV0.umm_json Cillaput: Our Weather, Yukon-Kuskowim Delta Weather Station Network provides access to current weather conditions in the villages of Chevak and Kotlik located in the Yukon-Kuskokwim Delta region of western Alaska. Measurements are collected hourly and include air temperature, humidity, wind speed, rainfall, solar radiation, and soil and surface temperatures. The weather stations were installed in late 2017 through a partnership between the Chevak Traditional Council, the US Geological Survey, and collaboration with the US Forest Service. The Cillaput data application displays the hourly conditions and graphs showing the past 24 hours of data. Users may download the data record by completing the user registration form on this page. proprietary
+ELOKA039_1 Evenki Atlas, Version 1 NSIDCV0 STAC Catalog 2004-01-01 2019-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1728290818-NSIDCV0.umm_json This Atlas focuses on sharing the knowledge, wisdom, and culture of one of the Indigenous Nations of Siberia, Russian Federation, the Evenki, who live in Iyengra, Russia, and the surrounding taiga. Access the atlas here, or read more about the Evenki here. proprietary
EM27_XCO2_XCH4_XCO_AK_1831_1 Ground-based Observations of XCO2, XCH4, and XCO, Fairbanks, AK, 2016-2019 ORNL_CLOUD STAC Catalog 2016-08-04 2019-10-31 -149.09, 64.47, -146.92, 65.12 https://cmr.earthdata.nasa.gov/search/concepts/C2762258684-ORNL_CLOUD.umm_json This dataset provides ground-based column-averaged dry mole fractions (DMFs) of CO2 (xco2), CO (xco), CH4 (xch4), and N2O (xn2o) to supplement satellite-based observations of carbon dynamics of northern boreal ecosystems. Measurements were conducted with Bruker EM27/SUN Fourier transform spectrometers (FTS) at the University of Alaska Fairbanks (UAF) and two sites on the edges of the Tanana Flats wetlands to the south from 2016-08-04 to 2019-10-31. Single detectors were used during the first campaign at UAF in 2017, then two instruments were updated to dual detectors in early 2018 to allow retrieval of xco and xn2o. Data from additional FTS instruments, operated by Los Alamos National Laboratories (LANL), Karlsruhe Institute of Technology (KIT), and Jet Propulsion Laboratory (JPL), employed in these campaigns are included. proprietary
EMITL1BATT_001 EMIT L1B Corrected Spacecraft Attitude and Ephemeris V001 LPCLOUD STAC Catalog 2022-08-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2408031090-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS). During its one-year mission, EMIT will take mineralogical measurements of the sunlit regions of interest between 52° N latitude and 52° S latitude. A map of the regions being investigated can be found on the EMIT website. The EMIT Level 1B Corrected Spacecraft Attitude and Ephemeris (EMITL1BATT) Version 1 data product provides both corrected and uncorrected attitude quaternions and spacecraft ephemeris data obtained from the ISS, including Earth-centered inertial (ECI) position and velocity, and associated time elements. The data are provided in 1 second intervals, and each product file contains vectors from the duration of the orbit. The time elements are copied from the ISS raw data. The data for each EMITL1BATT granule are delivered in a single Network Common Data Format 4 (netCDF-4) file. proprietary
-EMITL1BRAD_001 EMIT L1B At-Sensor Calibrated Radiance and Geolocation Data 60 m V001 LPCLOUD STAC Catalog 2022-08-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2408009906-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 1B At-Sensor Calibrated Radiance and Geolocation (EMITL1BRAD) Version 1 data product provides at-sensor calibrated radiance values along with observation data in a spatially raw, non-orthocorrected format. Each EMITL1BRAD granule consists of two Network Common Data Format Version 4 (netCDF-4) files at a spatial resolution of 60 meters (m): Radiance (EMIT_L1B_RAD) and Observation (EMIT_L1B_OBS). The Radiance file contains the at-sensor radiance measurements of 285 bands with a spectral range of 381-2493 nanometers (nm) and with a spectral resolution of ~7.5 nm, which are held within a single science dataset layer (SDS). The Observation file contains viewing and solar geometries, timing, topographic, and other information related to the observation. Each NetCDF4 file holds a location group containing geometric lookup tables (GLT), which are orthorectified images that provide relative x and y reference locations from the raw scene to allow for projection of the data. Along with the GLT layers, the files also contain latitude, longitude, and elevation layers. The latitude and longitude coordinates are presented using the World Geodetic System (WGS84) ellipsoid. The elevation data was obtained from Shuttle Radar Topography Mission v3 (SRTM v3) data and resampled to EMIT’s spatial resolution. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length. proprietary
+EMITL1BRAD_001 EMIT L1B At-Sensor Calibrated Radiance and Geolocation Data 60 m V001 LPCLOUD STAC Catalog 2022-08-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2408009906-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 1B At-Sensor Calibrated Radiance and Geolocation (EMITL1BRAD) Version 1 data product provides at-sensor calibrated radiance values along with observation data in a spatially raw, non-orthocorrected format. Each EMITL1BRAD granule consists of two Network Common Data Format Version 4 (netCDF-4) files at a spatial resolution of 60 meters (m): Radiance (EMIT_L1B_RAD) and Observation (EMIT_L1B_OBS). The Radiance file contains the at-sensor radiance measurements of 285 bands with a spectral range of 381-2493 nanometers (nm) and with a spectral resolution of ~7.5 nm, which are held within a single science dataset layer (SDS). The Observation file contains viewing and solar geometries, timing, topographic, and other information related to the observation. Each NetCDF4 file holds a location group containing geometric lookup tables (GLT), which are orthorectified images that provide relative x and y reference locations from the raw scene to allow for projection of the data. Along with the GLT layers, the files also contain latitude, longitude, and elevation layers. The latitude and longitude coordinates are presented using the World Geodetic System (WGS84) ellipsoid. The elevation data was obtained from Shuttle Radar Topography Mission v3 (SRTM v3) data and resampled to EMIT’s spatial resolution. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length. proprietary
EMITL2ARFL_001 EMIT L2A Estimated Surface Reflectance and Uncertainty and Masks 60 m V001 LPCLOUD STAC Catalog 2022-08-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2408750690-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 2A Estimated Surface Reflectance and Uncertainty and Masks (EMITL2ARFL) Version 1 data product provides surface reflectance data in a spatially raw, non-orthocorrected format. Each EMITL2ARFL granule consists of three Network Common Data Format 4 (NetCDF4) files at a spatial resolution of 60 meters (m): Reflectance (EMIT_L2A_RFL), Reflectance Uncertainty (EMIT_L2A_RFLUNCERT), and Reflectance Mask (EMIT_L2A_MASK). The Reflectance file contains surface reflectance maps of 285 bands with a spectral range of 381-2493 nanometers (nm) at a spectral resolution of ~7.5 nm, which are held within a single science dataset layer (SDS). The Reflectance Uncertainty file contains uncertainty estimates about the reflectance captured as per-pixel, per-band, posterior standard deviations. The Reflectance Mask file contains six binary flag bands and two data bands. The binary flag bands identify the presence of features including clouds, water, and spacecraft which indicate if a pixel should be excluded from analysis. The data bands contain estimates of aerosol optical depth (AOD) and water vapor. Each NetCDF4 file holds a location group containing a geometric lookup table (GLT) which is an orthorectified image that provides relative x and y reference locations from the raw scene to allow for projection of the data. Along with the GLT layers, the files will also contain latitude, longitude, and elevation layers. The latitude and longitude coordinates are presented using the World Geodetic System (WGS84) ellipsoid. The elevation data was obtained from Shuttle Radar Topography Mission v3 (SRTM v3) data and resampled to EMIT’s spatial resolution. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length. proprietary
EMITL2BCH4ENH_001 EMIT L2B Methane Enhancement Data 60 m V001 LPCLOUD STAC Catalog 2022-08-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2748097305-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take measurements of the sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. In addition to its primary objective described above, EMIT has demonstrated the capacity to characterize methane (CH4) and carbon dioxide (CO2) point-source emissions by measuring gas absorption features in the short-wave infrared bands. The EMIT Level 2B Greenhouse Gas (GHG) series of products can be used to identify and quantify point source emissions. The EMIT Level 2B Methane Enhancement Data (EMITL2BCH4ENH) Version 1 data product is a total vertical column enhancement estimate of methane in parts per million meter (ppm m) based on an adaptive matched filter approach. EMITL2BCH4ENH provides per-pixel methane enhancement data used to identify methane plume complexes. The initial release of the EMITL2BCH4ENH data product will only include granules where methane plume complexes have been identified. Each granule contains one Cloud Optimized GeoTIFF (COG) file at a spatial resolution of 60 meters (m): Methane Enhancement (EMIT_L2B_CH4ENH). The EMITL2BCH4ENH file contains methane enhancement data based primarily on EMITL1BRAD radiance values. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length. proprietary
EMITL2BCH4PLM_001 EMIT L2B Estimated Methane Plume Complexes 60 m V001 LPCLOUD STAC Catalog 2022-08-09 180, -54, -180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2748088093-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take measurements of the sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the locations of methane plumes along with metadata, regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. In addition to its primary objective described above, EMIT has demonstrated the capacity to characterize methane (CH4) and carbon dioxide (CO2) point-source emissions by measuring gas absorption features in the short-wave infrared bands. The EMIT Level 2B Greenhouse Gas (GHG) series of products can be used to identify and quantify point source emissions. The EMIT Level 2B Estimated Methane Plume Complexes (EMITL2BCH4PLM) Version 1 data product provides estimated methane plume complexes in parts per million meter (ppm m) along with uncertainty data. The EMITL2BCH4PLM data product will only be generated where methane plume complexes have been identified. To reduce the risk of false positives, all EMITL2BCH4ENH data undergo a manual review (or identification and confirmation) process before being designated as a plume complex. For more information on the manual review process, see Section 4.2.2 of the EMIT GHG Algorithm Theoretical Basis Document (ATBD). Each EMITL2BCH4PLM granule is sized to a specific plume complex but may cross multiple EMITL2BCH4ENH granules. A list of source EMITL2BCH4ENH granules is included in the GeoTIFF file metadata as well as the GeoJSON file. Each EMITL2BCH4PLM granule contains two files: one Cloud Optimized GeoTIFF (COG) file at a spatial resolution of 60 meters (m) and one GeoJSON file. The EMITL2BCH4PLM COG file contains a raster image of a methane plume complex extracted from EMITL2BCH4ENH v001 data. The EMITL2BCH4PLM GeoJSON file contains a vector outline of the plume complex, a list of source scenes, coordinates of the maximum enhancement values, and the uncertainty of the plume complex. proprietary
@@ -5330,8 +5335,50 @@ Frac_FuelComponent_Maps_Tundra_1761_1 ABoVE: Distribution Maps of Wildland Fire
Freeze_Thaw_NorthernHemisphere_2323_1 Probabilistic Freeze-Thaw Record for the Northern Hemisphere, 2016-2020 ORNL_CLOUD STAC Catalog 2016-01-01 2020-12-31 -180, 0, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2953939783-ORNL_CLOUD.umm_json This dataset provides a probabilistic freeze/thaw (FT) data record from 2016 to 2020 for the Northern Hemisphere derived using a deep learning model (U-Net). The model was informed by satellite multi-frequency microwave brightness temperature retrievals from the NASA SMAP (Soil Moisture Active Passive) and JAXA AMSR2 (Advanced Microwave Scanning Radiometer 2) radiometers, and trained using daily soil temperature observations from Northern Hemisphere weather stations and global reanalysis data (ERA-5). Unlike other available FT data records that provide only a binary classification of frozen or non-frozen conditions, this product includes both binary FT and continuous variable estimates of the probability of thawed conditions. This product is designed to complement other established binary FT data records, including the NASA FT Earth System Data Record and SMAP Level 3 FT operational products, by providing a probabilistic FT variable with enhanced accuracy and sensitivity to near-surface (<=5 cm depth) soil FT condition. The data are provided in cloud optimized GeoTIFF (COG) format. proprietary
Frost_Boils_Veg_Plots_1361_1 Arctic Vegetation Plots at Frost Boil Sites, North Slope, Alaska, 2000-2006 ORNL_CLOUD STAC Catalog 2000-08-16 2006-07-30 -148.99, 69.15, -147.99, 70.38 https://cmr.earthdata.nasa.gov/search/concepts/C2170969622-ORNL_CLOUD.umm_json This data set describes the environment, soil, and vegetation on nonsorted circles and earth hummocks at seven study sites along a N-S-transect from the Arctic Ocean to the Arctic Foothills based on data collected from 2000 to 2006. The study sites are located along the Dalton Highway, beginning in Prudhoe Bay, on the North Slope of Alaska. These frost-boil features are important landscape components of the arctic tundra. Data include the baseline plot information for vegetation, soils, and site factors for 117 study plots subjectively located in areas of homogeneous, representative vegetation on frost-heave features surrounding stable tundra. Nine community types were identified in three bioclimate subzones. Vegetation was classified according to the Braun-Blanquet system. proprietary
Ft_Lauderdale_0 Measurements made by the Lady Pamela research vessel off the south Florida coast OB_DAAC STAC Catalog 2003-08-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360238-OB_DAAC.umm_json Measurements made by the Lady Pamela research vessel off the south Florida coast near Fort Lauderdale in 2003. proprietary
+G00472_1 Glacier Photograph Collection, Version 1 NSIDCV0 STAC Catalog 1857-01-01 2020-09-26 -180, -43, 180, 81 https://cmr.earthdata.nasa.gov/search/concepts/C1386206411-NSIDCV0.umm_json "The Glacier Photograph Collection is a database of digital photographs of glaciers from around the world, some dating back to the mid-19th century, that provide an historical reference for glacier extent. As of August 2021, the database contains over 25,000 photographs. Further information can be found on the Glacier Photo Collection Product Web Site." proprietary
+G00486_1 Great Lakes Ice Charts, Version 1 NSIDCV0 STAC Catalog 1973-12-01 2002-05-09 -93, 41, -79, 49 https://cmr.earthdata.nasa.gov/search/concepts/C1386246219-NSIDCV0.umm_json These charts show ice extent and concentration three times weekly during the ice season, for all lakes except Ontario, from the 1973/74 ice season through the 2001/2002 ice season. Most charts are annotated to indicate data sources. The Straits of Mackinac, Green Bay, and Sault Ste. Marie are enlarged as insets; and in some cases, provided as separate charts. From 1973/74 through 1986/87, charts were prepared by the National Weather Service Forecast Office in Ann Arbor, Michigan. Beginning with the 1987/88 season, the National Ice Center (formerly known as the Navy/NOAA Joint Ice Center) in Suitland, Maryland prepared the charts. Charts are available as GIF files. proprietary
+G00799_1 Arctic and Southern Ocean Sea Ice Concentrations, Version 1 NSIDCV0 STAC Catalog 1953-01-01 1995-08-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246223-NSIDCV0.umm_json This data set provides monthly sea ice concentration for the Arctic from 1901 to 1995 and for the Southern Oceans from 1973 to 1990 on a standard 1-degree grid (cylindrical projection) to provide a relatively uniform set of sea ice extent for all longitudes. The data are in ASCII format and are available via FTP. proprietary
+G00801_1 GLERL Great Lakes Air Temperature/Degree Day Climatology, 1897-1983, Version 1 NSIDCV0 STAC Catalog 1897-01-01 1983-12-31 -93, 41, -76, 49 https://cmr.earthdata.nasa.gov/search/concepts/C1386206475-NSIDCV0.umm_json Daily maximum and minimum temperatures for 25 stations around the Great Lakes, 1897 to 1983, were given to NSIDC by the NOAA Great Lakes Environmental Research Laboratory (GLERL), Ann Arbor, MI. Daily data can be used to produce daily maximum, minimum, and mean temperatures, and seasonal accumulations of freezing and thawing degree days. The statistical data are archived in ASCII text files transcribed from 25 reels of 35 mm microfilm, one roll per station. Microfilm rolls are the appendices to Assel (1980), with updates covering 1978 to 1983 spliced to the end of each microfilm roll. Data sources include U.S. Department of Commerce summaries of meteorological data for Minnesota, Michigan, Wisconsin, Illinois, Pennsylvania, and New York, and the monthly meteorological observations published by Environment Canada. proprietary
+G00802_1 GLERL Radiation Transfer Through Freshwater Ice, Version 1 NSIDCV0 STAC Catalog 1978-01-01 1978-12-31 -85, 42, -83, 46 https://cmr.earthdata.nasa.gov/search/concepts/C1386206477-NSIDCV0.umm_json Radiation transmittance (ratio of transmitted to incident radiation) through clear ice, refrozen slush ice, and brash ice, from ice surface to ice-water interface in the 400 to 600 nanometer range (photosynthetically active range), was measured at two freshwater lakes: Silver Lake, near Ann Arbor, Michigan and Whitefish Point on Lake Superior. Data available include surface and under-ice sensor readings, date and time of observation, ice thickness, water depth, distance of under-ice sensor from ice bottom surface, and site number/location. proprietary
+G00803_1 GLERL Great Lakes Ice Thickness Data Base, 1966-1979, Version 1 NSIDCV0 STAC Catalog 1965-01-01 1977-05-01 -93, 41, -76, 49 https://cmr.earthdata.nasa.gov/search/concepts/C1386206478-NSIDCV0.umm_json During the winters of 1965/66 through 1976/77, NOAA/Great Lakes Environmental Research Laboratory (GLERL) collected weekly ice thickness and stratigraphy data at up to 90 stations per year on the Great Lakes. Data include station name, latitude, longitude and period of record as well as thickness of up to six ice layers, total ice thickness, snow depth (on top of ice), snow condition, ice condition, and ice type code. proprietary
+G00804_1 GLERL Great Lakes Ice Concentration Data Base, 1960-1979, Version 1 NSIDCV0 STAC Catalog 1960-11-01 1979-05-01 -93, 41, -76, 49 https://cmr.earthdata.nasa.gov/search/concepts/C1386246224-NSIDCV0.umm_json This data set consists of ice concentration grids from 1960 to 1979 for the Great Lakes. Over 2800 charts were digitized to produce this data base. The data were given to NSIDC by the NOAA Great Lakes Environmental Research Laboratory (GLERL), Ann Arbor, MI. proprietary
+G00805_1 Great Lakes Surface Ice Reports from U.S. Coast Guard, 1961 - 2004, Version 1 NSIDCV0 STAC Catalog 1961-11-10 2004-12-31 -93, 41, -76, 49 https://cmr.earthdata.nasa.gov/search/concepts/C2205522291-NSIDCV0.umm_json Data consist of ice observations from U.S. Coast Guard vessels operating on the Great Lakes and from Coast Guard shore stations reported via teletype messages and ice logging forms. Observations include ice thickness and concentration, weather conditions, and ice breaking activity. Data from 1961/1962 through 1966/1967 have been processed to a standard format and sorted by year and stations, and are available via FTP as ASCII files, one for each of the five lakes. proprietary
+G00945_1 Great Lakes Daily Ice Observations at NOAA Water Level Gauge Sites, 1956 - 1997, Version 1 NSIDCV0 STAC Catalog 1956-11-01 1997-04-30 -93, 41, -75, 49 https://cmr.earthdata.nasa.gov/search/concepts/C2205522271-NSIDCV0.umm_json This data set contains daily visual ice observations taken yearly from 1 November to 30 April at NOAA/National Ocean Service water level gauge sites in the Great Lakes Basin from 1956 to the 1997. Not all gauge sites have reported each season; a list of sites with coordinates and reporting years is included with the data set. The longest records tend to be at river stations such as St. Clair, St. Marys, Detroit, and St. Lawrence. Daily observations are coded (open water, solid ice, honeycombed ice, slush ice, windrowed ice, drifting ice, or ice gorge), as well as first and last reported ice for each season. proprietary
+G01170_1 Former Soviet Union Hydrological Snow Surveys, 1966-1996, Version 1 NSIDCV0 STAC Catalog 1966-01-10 1996-12-31 30, 35, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1386246234-NSIDCV0.umm_json The Former Soviet Union Hydrological Snow Surveys are based on observations made by personnel at 1,345 sites throughout the Former Soviet Union between 1966 and 1990, and over 200 of those sites between 1991 and 1996. These observations include snow depths at World Meteorological Organization (WMO) stations and snow depth and snow water equivalent measured over a nearby snow course transect. The station snow depth measurements are a ten-day average of individual snow depth measurements. The transect snow depth data are the spatial average of 100 to 200 individual measuring points. The transect snow water equivalent is the spatial average of 20 individual measuring points. Data were acquired from the Institute of Geography, Russian Academy of Sciences Moscow, and data were digitized in Russia under the supervision of Professor Alexander Krenke. proprietary
+G01171_1 Central Asian Snow Cover from Hydrometeorological Surveys, Version 1 NSIDCV0 STAC Catalog 1932-01-31 1990-04-30 66, 37, 74, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1386246235-NSIDCV0.umm_json This data set provides observations of end of month snow depth, snow density, and snow water equivalent from three river basins in Central Asia: Amu Darya, Sir Darya, and Naryn. Temporal coverage varies for each snow point, with the longest station record extending from 1932 through 1990. proprietary
+G01174_1 Estonian Mean Snow Depth and Duration (1891-1994), Version 1 NSIDCV0 STAC Catalog 1891-01-01 1994-12-31 21.5, 57.3, 28.1, 59.5 https://cmr.earthdata.nasa.gov/search/concepts/C1386206485-NSIDCV0.umm_json This data set contains the number of days of snow cover in days per year, and three 10-day snow depth means per month in centimeters from stations across Estonia. The days of snow cover data extend from 1891 through 1994, while the snow depth means extend from 1891 through 1990. Some stations for some years have two data entries, one for a protected collection area, and one for an exposed collection area. proprietary
+G01358_1 Arctic Ocean Drift Tracks from Ships, Buoys, and Manned Research Stations, 1872-1973, Version 1 NSIDCV0 STAC Catalog 1893-01-01 1973-12-31 -180, 80, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246237-NSIDCV0.umm_json Thirty-four drift tracks in the Arctic Ocean pack ice are collected in a unified tabular data format, one file per track. Data are from drifting ships, manned research stations on ice floes (ice islands) and data buoys. Track names are FRAM (ship, 1893 to 1896), NP-01 through NP-20 (Soviet North Pole stations on ice floes, 1937, 1950, 1954 to 1970), IGY-A and IGY-B (International Geophysical Year ice camps, 1957 to 59), T-3 (Fletcher's Ice Island, 1959 to 1970), ARLIS-II (Arctic Research Laboratory Ice Station II ice camp, 1961 to 1965), BTAE (British Transarctic Expedition, 1968 to 1969), seven buoys deployed during the AIDJEX (Arctic Ice Dynamics Joint Experiment) pilot study (1972), TEGG (Austrian ship Tegetthoff, 1872 to 1873) and St. Anna (Russian ship, 1912 to 1914). proprietary
+G01359_1 AWI Moored ULS Data, Weddell Sea (1990-1998), Version 1 NSIDCV0 STAC Catalog 1990-11-22 1998-04-11 -53, -71, 0, -59 https://cmr.earthdata.nasa.gov/search/concepts/C1386246238-NSIDCV0.umm_json This data set consists of moored Upward Looking Sonar (ULS) data from 14 stations in the Weddell Sea. Parameters in the processed data files are water pressure, water temperature, draft, and a flag to indicate if the instrument is under ice. Raw data files contain additional parameters. These data were contributed by the Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany, in 1999. Data are available via ftp. proprietary
+G01375_1 Glacier Inventory of West Greenland, 1948 - 1985, Version 1 NSIDCV0 STAC Catalog 1948-01-01 1985-12-31 -53, 59, -43, 71 https://cmr.earthdata.nasa.gov/search/concepts/C2205521096-NSIDCV0.umm_json The inventory includes 5,297 Glaciers from west Greenland between 59 to 71 degrees latitude north and 43 to 53 degrees longitude west. The glacier data basin division is based on a simplified version of the World Glacier Monitoring Service (WGMS) system. Data are based on 1:250000 maps, Landsat imagery, and aerial photos that were taken between 1948 and 1985. proprietary
+G01377_1 Global Lake and River Ice Phenology Database, Version 1 NSIDCV0 STAC Catalog 0874-01-01 2018-02-02 -140.4, 36.15, 149.3, 82.5 https://cmr.earthdata.nasa.gov/search/concepts/C1386206492-NSIDCV0.umm_json The Global Lake and River Ice Phenology Database contains freeze and thaw/breakup dates as well as other descriptive ice cover data for 865 lakes and rivers in the Northern Hemisphere. Of the 542 water bodies that have records longer than 19 years, 370 of them are in North America and 172 are in Eurasia. 249 lakes and rivers have records longer than 50 years, and 66 have records longer than 100 years. A few water bodies have data available prior to 1845. This database, with water bodies distributed around the Northern Hemisphere, allows for the analysis of broad spatial patterns as well as long-term temporal patterns. proprietary
G01378_1 Airborne Surface Profiling of Alaskan Glaciers, 1994 - 2001, Version 1 NSIDCV0 STAC Catalog 1994-05-01 2001-06-30 -149.25, 57, -132.33, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2205521521-NSIDCV0.umm_json This data set consists of glacier outline, laser altimetry profile, and surface elevation change data for 46 glaciers in Alaska and British Columbia, Canada, measured with an airborne laser altimetry system. Six glaciers in the Alaska Range of central Alaska, two glaciers in the Wrangell Mountains of southcentral Alaska, 11 glaciers in the Chugach Mountains of southcentral Alaska, five glaciers in the Chigmit Mountains of southcentral Alaska, 13 glaciers in the Kenai Mountains of southcentral Alaska (comprising the Harding Icefield), one glacier in the St. Elias Mountains of southeast Alaska, one glacier in the Takhinsha Mountains of southeast Alaska, and seven glaciers in the Coast Mountains of southeast Alaska and British Columbia were profiled between 1994 and 2001. Surface elevation profiles are accurate to about 0.3 m. Long-term elevation changes can be estimated by comparison of these profiles with existing maps. proprietary
+G01938_1 Environmental Working Group Arctic Meteorology and Climate Atlas, Version 1 NSIDCV0 STAC Catalog 1950-01-01 1995-12-31 -180, 60, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246240-NSIDCV0.umm_json "The Arctic Meteorology and Climate Atlas is part of the NOAA@NSIDC Environmental Working Group (EWG) Atlases data collection. The Arctic Meteorology and Climate Atlas was developed in the late 1990s by specialists from the Arctic and Antarctic Research Institute (AARI), St. Petersburg, Russia, the University of Washington, Seattle, and the National Snow and Ice Data Center, University of Colorado, Boulder. The Atlas contains three main sections: a history section, a Primer, and a data section. The history section summarizes Arctic exploration from both Russian and U.S. vantage points. It includes a condensed translation of an AARI publication detailing the Russian North Pole drifting station program, as well as a photo gallery from the North Pole stations. The Primer provides introductory information for newcomers to arctic meteorology. The data section contains gridded fields of meteorological parameters. These maps of air temperature, sea level pressure, precipitation, cloud cover, and snow and solar radiation from drifting and coastal stations can be browsed using an included viewer. Meteorological station data from Russian and other sources, newly released at the time the atlas was published, is included as well. In addition, the Atlas includes several English translations of Russian technical documents, and a glossary of meteorological terms in English and Russian. See the User Guide for a more complete listing of contents. The online User Guide includes an important Addendum and Errata section that is not included in the documentation that accompanies the Atlas download." proprietary
+G01961_1 Environmental Working Group Joint U.S.-Russian Atlas of the Arctic Ocean, Version 1 NSIDCV0 STAC Catalog 1948-01-01 1993-12-31 -180, 60, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246245-NSIDCV0.umm_json "The Environmental Working Group Joint U.S.-Russian Atlas of the Arctic Ocean is part of the NOAA@NSIDC Environmental Working Group (EWG) Atlases data collection. The Environmental Working Group (EWG) was established in 1995 under the framework of the U.S.-Russian Joint Commission on Economic and Technological Cooperation. The EWG Arctic Climatology Group took on the task of compiling digital data on arctic regions. This atlas of the Arctic Ocean was developed by specialists from the Environmental Research Institute of Michigan with Russian and U.S. partners. Separate volumes for winter and summer have file names G01961a and G01961b respectively. More than 1.3 million individual temperature and salinity observations collected from Russian and western drifting stations, ice breakers, and airborne expeditions were used to develop the products contained in the winter volume. The primary products of the Atlas are gridded mean fields for decadal periods (1950s,1960s, 1970s, 1980s) of temperature, salinity, density and dynamic height, Atlantic water layer depth, and temperature and salinity profiles and transects. The original individual observations that were used to derive these fields are not provided with the Atlas and are not available. Note that the Polar Science Center Hydrographic Climatology (PHC) ocean database (version 3.0) is available from the Polar Science Center, Applied Physics Laboratory, University of Washington. This is a global gridded database with a high-quality description of arctic seas achieved by merging data from several sources, including data from the Environmental Working Group Joint U.S.-Russian Atlas of the Arctic Ocean. The PHC or later versions may be more suitable for your research. As of January 2023, contact Michael Steele, Applied Physics Laboratory, 1013 NE 40th Street, Seattle, WA 98105 if you are interested in learning more about the PHC." proprietary
+G01962_1 Environmental Working Group Joint U.S.-Russian Arctic Sea Ice Atlas, Version 1 NSIDCV0 STAC Catalog 1950-01-01 1994-12-31 -180, 45, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246246-NSIDCV0.umm_json "The Environmental Working Group Joint U.S.-Russian Arctic Sea Ice Atlas is part of the NOAA@NSIDC Environmental Working Group (EWG) Atlases data collection. The EWG Joint U.S.-Russian Arctic Sea Ice Atlas was developed by U.S. and Russian partners in the late 1990s. It is based on observations collected over the period 1950 through 1994 from satellite data, ice stations, icebreakers, and airborne ice surveys. Additionally, U.S. submarines operating in the Arctic over the period from 1977 through 1993 collected data used for a previously classified ice climatology. The Atlas contains four main sections: an introduction to Arctic sea ice, a section that describes primary sea ice data sets and analysis methods, a section with a graphical atlas containing two-dimensional color-coded ice charts and graphical products, and an Arctic sea ice data section. Note: The Russian chart component of this product has been replaced and updated by Sea Ice Charts of the Russian Arctic in Gridded Format, 1933-2006 and the U.S chart component by National Ice Center Arctic Sea Ice Charts and Climatologies in Gridded Format, 1972-2007 and U.S. National Ice Center Arctic and Antarctic Sea Ice Concentration and Climatologies in Gridded Format." proprietary
+G02139_1 AWI Moored ULS Data, Greenland Sea and Fram Strait, 1991-2002, Version 1 NSIDCV0 STAC Catalog 1991-08-01 2002-09-30 2, 74.4, 12.98333, 79 https://cmr.earthdata.nasa.gov/search/concepts/C1386246251-NSIDCV0.umm_json This data set consists of Upward Looking Sonar (ULS) data from 11 moorings in the Greenland Sea. Parameters in the processed data files include ice draft, water pressure, and water temperature. Raw data files with sonar travel time, and files with draft frequency of occurrence, are available as well. A single statistical file for each mooring summarizes that mooring's record. These data were contributed by the Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany, in 2002 and 2004, as a contribution to the World Climate Research Programme's Arctic Climate System Study/Climate and Cryosphere (ACSYS/CliC) Project. Data are available via FTP. NSIDC strongly encourages you to register as a user of this data product. As a registered user, you will be notified of updates and corrections. When registering, please include the title of this data set, AWI Moored ULS Data, Greenland Sea and Fram Strait, 1991-2002. proprietary
+G02159_1 Arctic Sea Ice Melt Pond Statistics and Maps, 1999-2001, Version 1 NSIDCV0 STAC Catalog 1999-08-01 2001-09-30 -180, 73, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206507-NSIDCV0.umm_json Visible band imagery from high-resolution satellites were acquired over four Arctic Ocean sites (three in 1999) during the summers of 1999, 2000, and 2001. The sites were within the median extent of the perennial ice pack. Imagery was analyzed using supervised maximum likelihood classification to derive either two (water and ice) or three (pond, open water, and ice) surface classes. Clouds were masked by hand. The data set consists of tables of pond coverage and size statistics for 500 m square cells within 10 km square images (image resolution is 1 meter), along with the surface type maps called Image Derived Products (IDPs) from which the pond statistics were derived. A total of 101 images over the three summers and four sites were used for pond statistics, out of a total of 1056 images acquired. The images are irregularly spaced in time. Data are stored in Microsoft Excel format and ASCII text, image files are stored as GeoTIFF binary images, browse images in PNG, and JPG image files, and are available from August 1999 and generally for May into September for 2000 and 2001 via FTP. proprietary
+G02164_1 Daily Precipitation Sums at Coastal and Island Russian Arctic Stations, 1940-1990, Version 1 NSIDCV0 STAC Catalog 1940-01-01 1990-12-31 36.76, 64.41, 170.16, 84.78 https://cmr.earthdata.nasa.gov/search/concepts/C1386206508-NSIDCV0.umm_json This data set contains precipitation data originally recorded in log books at 65 Russian coastal and island meteorological stations, and later digitized at the Arctic and Antarctic Research Institute (AARI), St. Petersburg, Russia, under the direction of Vladimir Radionov. Records from most stations begin in 1940 and contain daily precipitation amounts in mm. proprietary
+G02171_1 Canadian Ice Service Arctic Regional Sea Ice Charts in SIGRID-3 Format, Version 1 NSIDCV0 STAC Catalog 2006-01-01 -164.05002, 39.52777, 21.96925, 83.19372 https://cmr.earthdata.nasa.gov/search/concepts/C1386246266-NSIDCV0.umm_json The Canadian Ice Service (CIS) produces digital Arctic regional sea ice charts for marine navigation, forecasting, and climate research. The ice charts are created through the manual analysis of in situ, satellite, and aerial reconnaissance data. The ice charts have information on ice concentration, stage of development, and ice form, following World Meteorological Organization terminology. This digital record of sea ice charts begin in 2006 and cover the following regions of the Canadian Arctic: Northern Canadian waters (Western Arctic, Eastern Arctic, and Hudson Bay) and Southern Canadian waters (Great Lakes and East Coast). Each regional shapefile (.shp) (encoded in SIGRID-3 format) and associated metadata file (.xml) are combined into a tar archive file (.tar) for distribution. All data are available via FTP. proprietary
+G02174_1 Central Asia Temperature and Precipitation Data, 1879-2003, Version 1 NSIDCV0 STAC Catalog 1879-01-01 2003-12-31 55, 35, 85, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1386206511-NSIDCV0.umm_json This data set provides temperature and precipitation data from 298 meteorological stations in the Northern Tien Shan and Pamir Mountain Ranges of Central Asia, specifically from stations in Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The period of record covered by each station is variable, however, most stations have almost 100 years of observations with the earliest record from 1879 and the latest from 2003. The data are stored as tab-delimited ASCII text format, Microsoft Excel, and PDF, and are availabe via FTP. proprietary
+G02175_1 Good Days on the Trail, 1938-1942: Film Footage of the Rocky Mountains, Colorado, Version 1 NSIDCV0 STAC Catalog 1938-01-01 1942-12-31 -105.9, 40, -105.5, 40.54 https://cmr.earthdata.nasa.gov/search/concepts/C1386206512-NSIDCV0.umm_json This silent film documents student hiking trips conducted by the University of Colorado at Boulder in the Rocky Mountains, Colorado, USA during the summers of 1938-1942. The hikes took place in various locations west of Boulder, including Rocky Mountain National Park, Indian Peaks Wilderness, and Roosevelt National Forest. The film contains rare historical footage of the Rocky Mountains, including Arapaho Glacier and Fair Glacier. proprietary
+G02178_1 Barnes Ice Cap South Dome Trilateration Net Survey Data 1970-1984, Version 1 NSIDCV0 STAC Catalog 1970-01-01 1984-12-31 -72.16667, 69.7, -72.06667, 69.83333 https://cmr.earthdata.nasa.gov/search/concepts/C1386206514-NSIDCV0.umm_json The Barnes Ice Cap data set contains survey measurements of a network of 43 stakes along a 10 km flow line on the northeast flank of the south dome of the Barnes Ice Cap. The measurements are of mass balance, surface velocity, and surface elevation. They were taken over a period of time from 1970 to 1984. The data set came from a hard copy computer printout containing raw data as well as processed quantities. This printout was scanned and digitized into a PDF file. This PDF file was put through Optical Character Recognition (OCR) software and saved as another PDF file. The resultant PDF file is human readable and all values are correct when viewed in an Adobe PDF reader. However, if you copy the contents and paste them into another application there may be errors in the values as the OCR process did not accurately compute all characters correctly. If you copy the data values into another application for analysis, double check the values against what is in the PDF file. The data are available via FTP. proprietary
+G02183_1 Arctic Ice Dynamics Joint Experiment (AIDJEX) Second Pilot Study, March - May 1972: A Documentary Film, Version 1 NSIDCV0 STAC Catalog 1972-03-01 1972-05-31 -165, 72, -125, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1386206517-NSIDCV0.umm_json The project described in this documentary was a pilot study conducted in 1972 in preparation for the AIDJEX main experiment of 1975 to 1976. The study included a main camp on drifting sea ice in the Beaufort Sea north of Alaska along with two satellite camps forming a station triangle with a 100 km side length. A detailed description of the observational program and a running account of the results can be found in the AIDJEX Bulletin series published between 1970 and the end of the project in 1978. The Polar Science Center at the University of Washington maintains an AIDJEX electronic library. It includes downloadable copies of the contents of all 40 AIDJEX Bulletins, AIDJEX Operations Manuals for the Pilot Study and the Main Experiment, and other resources. The film was produced by Hannes Zell and Dieter Wittich of Vienna, Austria under an arrangement with the AIDJEX Project Office at the University of Washington. The transfer of the original 16 mm film to electronic medium was performed by Victory Studios of Seattle, Washington, USA. The digital copy was donated to NSIDC by Dr. Norbert Untersteiner, AIDJEX Project Director. proprietary
G02191_1 AIDJEX Beaufort Sea Upward Looking Sonar April 1976, Version 1 NSIDCV0 STAC Catalog 1976-04-07 1976-04-10 -155, 70, -137, 76 https://cmr.earthdata.nasa.gov/search/concepts/C1386206523-NSIDCV0.umm_json "This data contains Upward Looking Sonar (ULS) profiles of the underside of the Arctic pack ice along three transects whose total length is 777 nautical miles. The data were obtained by the USS Gurnard (SSN-662), a U.S. Navy submarine, on a traverse of the AIDJEX Main Experiment area in the Beaufort Sea from 07 April 1976 to 10 April 1976. The sea ice thickness derived from the ULS is given in feet. The data are in a single ASCII text file: Aidjex_04_1976_uls.txt. The data in this text file are not formatted into columns; all data are presented in one long row separated by spaces. Little is known about the format of the file, so caution should be used when working with the data. NSIDC is providing this data as part of our effort to preserve historical data. The data file begins with nine values that appear to be header information. These nine values include latitude and longitude values along with other unknown values. After the header, there are approximately 2100 measurements of what NSIDC believes is sea ice thickness in feet, however it is unclear how often these measurements were taken. After these 2100 values, another header of nine values occurs followed again by 2100 measurements. The file continues in this pattern through the remainder of the file. Users with information about the contents of the file are encouraged to contact NSIDC User Services. Two supporting documents that provide some background have been scanned and included as PDF files. These are AIDJEX_ULS_background.pdf and AIDJEX_ULS_format.pdf. These data are available via FTP. Note: These data are in a raw format with unknown fields and are being provided as is for preservation purposes. A processed version of the data are available in the Submarine Upward Looking Sonar Ice Draft Profile Data and Statistics data set." proprietary
+G02195_1 Arctic Landfast Sea Ice 1953-1998, Version 1 NSIDCV0 STAC Catalog 1953-01-01 1998-12-31 -180, 55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206527-NSIDCV0.umm_json "The files in this data set contain monthly mean landfast sea ice data gathered from both Russian Arctic and Antarctic Research Institute (AARI) and Canadian Ice Service (CIS) sources. Data are in the form of percent of area covered, within a longitude-latitude grid with 0.2° resolution. Details on processing and treatment are given in the contributor's PhD thesis (König, 2007). The data are provided in NetCDF format. The time span over which data are available is split into three ranges: for 1953-1967 there are only AARI data, for 1968-1990 both AARI and CIS data are available, and from 1991-1998 only CIS data are available. There are a total of six files: two for the 1953-1967 data, two for the 1968-1990 data, and two for the 1991-1998 data. There are two files for each range because the files with ""_noNaN"" in their names contain ""-1000"" as the missing value, and the other files use ""nan"" as the missing value. Otherwise, the data in those files are identical. König obtained AARI data from NSIDC data set AARI 10-Day Arctic Ocean EASE-Grid Sea Ice Observations. NSIDC has replaced that data set with Sea Ice Charts of the Russian Arctic in Gridded Format, 1933-2006 (AARI, 2007). That data set was edited and compiled by V. Smolyanitsky, V. Borodachev, A. Mahoney, F. Fetterer, and R. Barry (https://nsidc.org/data/g02176). Notice to Data Users: The documentation for this data set was provided solely by the contributor, Christof S. König, and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited." proprietary
+G02196_1 Arctic Marine Transportation Program 1979-1986, Version 1 NSIDCV0 STAC Catalog 1979-01-01 1986-12-31 -180, 54, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246285-NSIDCV0.umm_json The purpose of this program was to collect data relevant to developing year-round transportation capabilities in the Arctic Ocean. The US Maritime Administration sponsored this multi-year program to define environmental conditions in the Bering, Chukchi, and Beaufort Seas; to obtain data to improve design criteria for ice-worthy ships and offshore structures; and to demonstrate the operational feasibility of commercial icebreaking ships along possible future Arctic marine routes. The research was performed using the US Coast Guard Polar Star and Polar Sea ice-class ships, which were at the time the world's most powerful non-nuclear icebreakers and the only US ships capable of mid-winter Arctic operations. The items in this data set are PDFs of Arctic Marine Transportation reports with embedded data, along with a PDF of the Achievement Record Brochure (Achievement_Record_1979_1984_Brochure.pdf), and JPEG images providing a historical context of the program. The 15 JPEG images and a PDF of accompanying captions (G02196_images_captions.pdf) are located in the images directory. The PDF reports, an Executive Summary (Executive_Summary_Arctic_Marine_Transportation_Program.pdf), and the Appendix to the Executive Summary (Executive_Summary_Arctic_Marine_Transportation_Program_Appendix_A_List_of_Reports.pdf) are located in the Arctic_Marine_Transportation_Reports directory. Note that page 33 of the Executive Summary is missing. The Appendix to the Executive Summary contains an index of reports included in this data set. This index lists 64 reports; however, out of these 64, the following reports were never included and their location is unknown: 1, 4, 36, 37, 60, 61, and 62. Also note that reports 35 and 44 come in two parts. The data cover the years 1979 to 1986 and were collected from ships in the Bering, Chukchi, and Beaufort Seas. Data are available via FTP. This data is being provided as is. NOAA@NSIDC believes these data to be of value, but is unable to provide documentation. If you have information about this data set that others would find useful, please contact NSIDC User Services. proprietary
+G02199_1 Dust Count Observations March 1933 - August 1933 in College-Fairbanks, AK, Version 1 NSIDCV0 STAC Catalog 1933-03-23 1933-08-29 -147.9, 64.8, -147.8, 64.9 https://cmr.earthdata.nasa.gov/search/concepts/C1386246287-NSIDCV0.umm_json "These data are daily dust count observations taken in College-Fairbanks, Alaska from 23 March 1933 to 29 August 1933. The data are part of a larger collection titled ""Second International Polar Year Records, 1931-1936, Department of Terrestrial Magnetism, Carnegie Institute of Washington."" Within this larger collection, the data are identified as ""Series 1: College-Fairbanks IPY Station Records and Data, 1932-1934: Subseries C: Auroral and Meteorological Records and Data, 1932-1933: Dust Count Observations, March 1933 - August 1933."" The data are provided in a PDF copy of the handwritten entries (Dust_Count_Observations_March1933_to_August1933.pdf). Two supporting files are also included in this data set. The first is a copy of the handwritten data transcribed to a Microsoft Excel spreadsheet (Dust_Count_Observations_March1933_to_August1933.xls). The second is a PDF document that explains the larger collection (DTM_Collection_Description.pdf). The entries were recorded using an Aitken Dust Counter. Each entry includes up to 10 counts per day with measurements of wind, clouds, and visibility. The handwritten copy has the most complete data, as some of the handwritten notes were not transcribed into the computer spreadsheet. For example, handwritten notes concerning problems with the counter itself were not transcribed into the computer spreadsheet. The data are available via FTP. NOAA@NSIDC believes these data to be of value but is unable to provide documentation. If you have information about this data set that others would find useful, please contact NSIDC User Services." proprietary
+G02203_1 Arctic Sea Ice Charts from Danish Meteorological Institute, 1893 - 1956, Version 1 NSIDCV0 STAC Catalog 1893-04-01 1956-08-31 -180, 55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206533-NSIDCV0.umm_json "These charts, created by the Danish Meteorological Institute (DMI), provide observed and inferred sea ice extent for each summer month from 1893 to 1956. From 1893 to 1956, the Danish Meteorological Institute (DMI) created charts of observed and inferred sea ice extent for each summer month. These charts are based on compiled observations of ice conditions reported by a variable network of national organizations, shore-based observers, scientific expeditions, and ships as detailed in each report; in cases where no observations were available, the lead mapmakers extrapolated further ice cover using their knowledge of ice movement. Except for where direct observations are indicated, caution is advised in using the charts’ ice edge because there is no way to quantify the assumptions used in extrapolating ice edge or the error involved in this method. See the note on reliability for further discussion of potential error. The charts were scanned at the Icelandic Meteorological Office (IMO) and are being made available here as a service and in cooperation with DMI and other contributors. In all, there are 266 image files containing 291 images.
For a gridded data set derived from this product, see the Arctic Sea Ice Concentration and Extent from Danish Meteorological Institute Sea Ice Charts, 1901-1956data set
" proprietary
+G10002_1 Glacier Mass Balance and Regime Measurements and Analysis, 1945-2003, Version 1 NSIDCV0 STAC Catalog 1945-01-01 2003-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246291-NSIDCV0.umm_json This data set consists of glacier regime parameters observed between 1945 and 2003. Data include annual mass balances, ablation, accumulation, and equilibrium-line altitude of mountain and subpolar glaciers outside the two major ice sheets. All available sources of information, such as publications, archived data, and personal communications have been collected, and include time series of more than 300 glaciers. Data have been digitized and quality checked. proprietary
+G10004_1 Greenland Snow Pit and Core Stratigraphy (Analog and Digital Formats), Version 1 NSIDCV0 STAC Catalog 1911-01-01 1981-12-31 -69, 69, -38, 78 https://cmr.earthdata.nasa.gov/search/concepts/C1386206538-NSIDCV0.umm_json This data set is comprised of scientific field study notebooks from geologist Carl S. Benson describing his traverses of Greenland from 1952 to 1955. The notebooks contain data on Greenland snow accumulation, snow temperature, stratigrapy, ice sheet facies, and snow densification. Dr. Benson's notebooks also include a supplementary 1956 snow accumulation study done by the U.S. Air Force. The notebooks have been scanned and put into PDF format. In addition, a compendium of Greenland snow accumulation data, compiled by Dr. Benson in 1986, is included that spans 1911 to 1981. It is in ASCII text format. During a four-year period from 1952 through 1955, Carl Benson, along with many other individuals and several other organizations, dug and studied 146 snow pits and made 288 supplementary snow hardness profiles with a ramsonde instrument along a 1100 mile traverse in Northwest Greenland (Benson 1962). For each exposed pit, temperature, density, ram hardness, and grain size were measured. The data in the notebooks include a listing of all pit locations, a summary matrix of data collected at each station; accumulation data adjusted for Fall 1954 and Fall 1955 reference horizons; average accumulation for all stations; integrated ram hardness (snow density); descriptive stratigraphy, pit profile temperature and density; and pit and core temperature, density, ram hardness, and stratigraphy for each location. Benson's notebooks for 1952 through 1954 were scanned at NSIDC and are available via FTP. As of January 2013, the 1955 notebooks have not been digitized. proprietary
+G10007_1 Arctic Sea Ice Concentration and Extent from Danish Meteorological Institute Sea Ice Charts, 1901-1956, Version 1 NSIDCV0 STAC Catalog 1901-04-01 1956-08-31 -180, 55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206542-NSIDCV0.umm_json This data set provides estimates of Arctic sea ice extent and concentration from 1901 to 1956 created from a collection of historic, hand-drawn sea ice charts from the Danish Meteorological Institute (DMI). These were used to create estimates for each summer month from 1901 to 1956 by manual, subjective interpretation of scanned versions of the charts. These estimates, shown in colored-coded fields, are available as GIS shapefiles, gridded NetCDF files, and browse image files. proprietary
+G10008_1 ClimoBase: Rouse Canadian Surface Observations of Weather, Climate, and Hydrological Variables, 1984-1998, Version 1 NSIDCV0 STAC Catalog 1984-05-14 1998-12-31 -133.505278, 58.133333, -93.816667, 68.736944 https://cmr.earthdata.nasa.gov/search/concepts/C1386206543-NSIDCV0.umm_json ClimoBase is a collection of surface climate measurements collected in Northern Canada by Dr. Wayne Rouse between 1984 and 1998 in three locations: Churchill, Manitoba; Marantz Lake, Manitoba; and Inuvik, Northwest Territories. These data are comprised of surface-climate measurements, including solar time, wind speed, wind direction, dry-bulb, wet-bulb, and vapor pressure in 24 sites focused at the three Northern Canadian locations. The sites were chosen to include a variety of terrains in the study: sedge fen wetland, willow-birch wetland, lichen-heath, bedrock boulders/heath, spruce- tamarack forest, tundra lake, creek, various (e.g. a basin: sedge, willow, lichen-heath, forest, etc.), sparse vegetation (short grass/sedge, heath spp.), and coastal marsh (tall grass, sandy soils). The measurements were taken in increments ranging from seasonally to every 15 minutes. In all, 177 different variables were measured and recorded. The data are valuable due to their unique and consistent nature. proprietary
+G10010_2 Gridded Monthly Sea Ice Extent and Concentration, 1850 Onward, Version 2 NSIDCV0 STAC Catalog 1850-01-01 2017-12-31 -180, 30.1, 180, 89.9 https://cmr.earthdata.nasa.gov/search/concepts/C1632006975-NSIDCV0.umm_json Observations from historical sources are the basis of this monthly gridded sea ice concentration product that begins in 1850. In 1979, these sources give way to a single source: concentration from satellite passive microwave data. The historical observations come in many forms: ship observations, compilations by naval oceanographers, analyses by national ice services, and others. Monthly sea ice concentration is given in a 1/4 degree latitude by 1/4 degree longitude grid. In addition to the concentration array, for each month a corresponding source array indicates where each of 16 possible sources is used. The file of concentration and source arrays conforms to NetCDF-4 standards. proprietary
+G10021_1 Daily Gridded North American Snow, Temperature, and Precipitation, 1959-2009, Version 1 NSIDCV0 STAC Catalog 1959-09-01 2009-12-31 -166.5, 25.5, -53.5, 82.5 https://cmr.earthdata.nasa.gov/search/concepts/C1526585432-NSIDCV0.umm_json These data provide daily snow, temperature, and precipitation data for North America from 1959 to 2009. They are gridded to a 1-degree latitude by 1-degree longitude resolution to create a 114 x 58 grid for each day of data. proprietary
+G10027_1 Contribution to High Asia Runoff from Ice and Snow (CHARIS) Melt Model Output, 2001 - 2014, Version 1 NSIDCV0 STAC Catalog 2001-01-01 2014-12-31 68.9, 26, 93, 43.3 https://cmr.earthdata.nasa.gov/search/concepts/C1676848754-NSIDCV0.umm_json This data set contains input and output data for temperature index (TI) model runs completed for the Contributions to High Asia Runoff from Ice and Snow (CHARIS) project at NSIDC in 2018 and 2019. The input data are the area of snow on land, snow on ice, and exposed glacier ice as well as surface air temperature. These inputs are used to model the volumes of melt runoff from the snow on land, snow on ice, and exposed glacier ice in certain areas of High Mountain Asia. proprietary
+G10029_1 Daily Great Lakes Ice Concentration, 1973 Onward, Version 1 NSIDCV0 STAC Catalog 1972-12-20 2023-05-21 -92.42, 38.86, -75.86, 50.6 https://cmr.earthdata.nasa.gov/search/concepts/C1712034199-NSIDCV0.umm_json This data set consists of daily gridded lake ice concentration for the Laurentian Great Lakes from the NOAA Great Lakes Environmental Research Laboratory (GLERL). The data are provided as gridded ASCII text files and shapefiles along with corresponding browse image files in .jpg format. proprietary
+G10030_1 Arctic Sea State 2015 Field Campaign, Version 1 NSIDCV0 STAC Catalog 2015-10-01 2015-11-07 -168.49, 62.76, -148.53, 75.48 https://cmr.earthdata.nasa.gov/search/concepts/C2109756241-NSIDCV0.umm_json The U.S. Office of Naval Research (ONR) Sea State Departmental Research Initiative (DRI) field campaign was conducted during autumn of 2015 in the Beaufort Sea in order to better understand how waves and ice interact as Arctic ice advances in late autumn. Data collection took place under four sampling modes: wave experiments, ice stations, flux stations, and ship surveys. This data set provides curated data from this field campaign in NetCDF data files. proprietary
+G10040_1 Glacier Covered Area for the State of Alaska, 1985-2020, Version 1 NSIDCV0 STAC Catalog 1985-01-01 2020-12-31 -167, 53, -130, 69 https://cmr.earthdata.nasa.gov/search/concepts/C2245266323-NSIDCV0.umm_json This data set captures changes in glacier covered area across the state of Alaska for the period 1985 to 2020.The data set includes 18 biannual shapefiles each for overall glacier covered area, supraglacial debris area, and debris-free glacier covered area. proprietary
+G10042_1 Arctic Ice Dynamics Joint Experiment (AIDJEX) Second Pilot Study, March - May 1972: Still Images, Version 1 NSIDCV0 STAC Catalog 1972-03-01 1972-05-31 -165, 72, -125, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2747978314-NSIDCV0.umm_json "This data set contains photographs of camps on drifting sea ice from the early 1970s along with a few aerial photographs of the drifting ice station T-3. Most of the photos were taken during a pilot study conducted in 1972 in preparation for the AIDJEX main experiment of 1975 to 1976. There are 83 photos in JPEG format with captions available for 60 of them, which are listed in an accompanying Excel (.xlsx) file. The photos were taken by Tom Marlar of the U.S. Army Cold Regions Research and Engineering Laboratory (CRREL). Pat Martin took the aerial photographs. The pilot study included a main camp on drifting sea ice in the Beaufort Sea north of Alaska along with two satellite camps forming a station triangle with a 100 km side length. Additional details on the AIDJEX experiment can be found on the NOAA@NSIDC AIDJEX web site. Also, a detailed description of the observational program and a running account of the results can be found in the AIDJEX Bulletin series published between 1970 and the end of the project in 1978. The Polar Science Center at the University of Washington maintains an AIDJEX electronic library at http://psc.apl.washington.edu/nonwp_projects/aidjex/. It includes downloadable copies of the contents of all 40 AIDJEX Bulletins, AIDJEX Operations Manuals for the Pilot Study and the Main Experiment, and other resources. These photographs existed as 8” x 10” prints in the analog collection of material at NSIDC, and were scanned under the direction of the NSIDC archivist around 2007. The captions come from text that was written on the prints. Some captions may have been added to at a later date. At least four of the photographs are not from AIDJEX, but are aerial photographs of Fletcher’s Ice Island, or T-3. In 1972, when the AIDJEX pilot study was taking place in the Beaufort Sea, T-3 was north of the Canadian Archipelago and on its way East, as explained in the caption for AIDJEX_1972_002.jpg. According to the captions, the T-3 photos were taken in 1974. We believe that these photographs, like other aerial shots, were taken by Pat Martin, and included with other 8” x 10” prints that may have been sent to NSIDC by personnel at CRREL. The track of T-3, as well as data from T-3 and other drifting ice stations, can be found on the EWG Arctic Meteorology and Climate Atlas" proprietary
G18-ABI-L2P-ACSPO-v2.90_2.90 GHRSST L2P NOAA/ACSPO GOES-18/ABI West America Region Sea Surface Temperature v2.90 dataset POCLOUD STAC Catalog 2022-06-07 163, -60, -77, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2731035022-POCLOUD.umm_json The G18-ABI-L2P-ACSPO-v2.90 dataset produced by the NOAA ACSPO system is used to derive Subskin and Depth Sea Surface Temperature (SST) from the ABI onboard the G18 satellite. NOAA’s G18 (aka, GOES-T pre-launch) was launched on March 1, 2022, replacing the G17 as GOES West in Jan'2023. It is the third satellite in the US GOES–R Series, the Western Hemisphere’s most sophisticated weather-observing and environmental-monitoring system. The ABI is the primary instrument on the GOES-R Series for imaging Earth’s weather, oceans, and environment.
G18/ABI maps SST in a Full Disk (FD) area from 163E-77W and 60S-60N, with a spatial resolution of 2km/nadir to 15km/VZA 67-deg, and 10-min temporal sampling. The 10-min FD data are subsequently collated in time, to produce the 1-hr product, with improved coverage and reduced cloud leakages and image noise. The L2P is produced in netCDF4 GDS2 format, with 24 granules per day, and a total data volume 0.8 GB/day. The near-real time (NRT) data are updated hourly, with several hours latency. The NRT files are replaced with Delayed Mode (DM) files, with a latency of ~2-months. File names remain unchanged, and DM vs NRT can be identified by different time stamps and global attributes inside the files (MERRA instead of GFS for atmospheric profiles, and same day CMC L4 analyses in DM instead of one-day delayed in NRT processing).
Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script available at Documents tab under How-To section. The ACSPO G18 ABI SSTs are validated against quality controlled in situ data from the NOAA iQuam system (Xu and Ignatov, 2014) and continuously monitored in NOAA SQUAM system (Dash et al, 2010). A 0.02-deg equal-angle gridded L3C product 0.7GB/day) is available at https://podaac.jpl.nasa.gov/dataset/G18-ABI-L3C-ACSPO-v2.90 proprietary
G18-ABI-L3C-ACSPO-v2.90_2.90 GHRSST L3C NOAA/ACSPO GOES-18/ABI West America Region Sea Surface Temperature v2.90 dataset POCLOUD STAC Catalog 2022-06-07 163, -60, -77, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2731041317-POCLOUD.umm_json The G18-ABI-L3C-ACSPO-v2.90 dataset produced by the NOAA ACSPO system is used to derive Subskin and Depth Sea Surface Temperature (SST) from the ABI sensor onboard the G18 satellite. NOAA’s G18 (aka GOES-T before launch) was launched on March 1, 2022, replacing G17 as GOES West in Jan'2023. It is the third satellite in the US GOES–R Series, the Western Hemisphere’s most sophisticated weather-observing and environmental-monitoring system. The ABI is the primary instrument on the GOES-R Series for imaging Earth’s weather, oceans, and environment.
The G18-ABI-L3C-ACSPO-v2.90 dataset is a gridded version of the G18-ABI-L2P-ACSPO-v2.90 dataset (https://podaac.jpl.nasa.gov/dataset/G18-ABI-L2P-ACSPO-v2.90). The L3C (Level 3 Collated) outputs 24 hourly granules per day, with a daily volume of 0.7 GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST.
The ACSPO G18/ABI L3C product is validated against iQuam in situ data (Xu and Ignatov, 2014) and continuously monitored in the NOAA SQUAM system (Dash et al, 2010). The NRT files are replaced with Delayed Mode (DM) files, with a latency of ~2-months. File names remain unchanged, and DM vs NRT can be identified by different time stamps and global attributes inside the files (MERRA instead of GFS for atmospheric profiles, and same day CMC L4 analyses in DM instead of one-day delayed in NRT processing). proprietary
G5NR_1 GEOS-5 Nature Run data NCCS STAC Catalog 2005-05-15 2007-06-16 -180, 90, 179.9375, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1634215803-NCCS.umm_json This specific GEOS-5 model configuration used to perform a two-year global, non-hydrostatic mesoscale simulation for the period 2005-2007 at 7-km (3.5-km in the future) horizontal resolution. Because this simulation is intended to serve as a reference Nature Run for Observing System Simulation Experiments (OSSEs, e.g., Errico et al., 2012) it will be referred to as the 7-km GEOS-5 Nature Run or 7-km G5NR. This simulation has been performed with the Ganymed version of GEOS- 5, more specifically with CVS Tag wmp-Ganymed-4_0_BETA8. In addition to standard meteorological parameters (wind, temperature, moisture, surface pressure), this simulation includes 15 aerosol tracers (dust, sea-salt, sulfate, black and organic carbon), O3, CO and CO2. This model simulation is driven by prescribed sea-surface temperature and sea-ice, as well as surface emissions and uptake of aerosols and trace gases, including daily volcanic and biomass burning emissions, biogenic sources and sinks of CO2, and high-resolution inventories of anthropogenic sources.The simulation is performed at a horizontal resolution of 7 km using a cubed-sphere horizontal grid with 72 vertical levels, extending up to to 0.01 hPa (~ 80 km). For user convenience, all data products are generated on two logically rectangular longitude-latitude grids: a full-resolution 0.0625o grid that approximately matches the native cubed-sphere resolution, and another 0.5o reduced-resolution grid. The majority of the full-resolution data products are instantaneous with some fields being time-averaged. The reduced-resolution datasets are mostly time-averaged, with some fields being instantaneous. Hourly data intervals are used for the reduced-resolution datasets, while 30-minute intervals are used for the full-resolution products. All full-resolution output is on the model’s native 72-layer hybrid sigma-pressure vertical grid, while the reduced-resolution output is given on native vertical levels and on 48 pressure surfaces extending up to 0.02 hPa. Section 4 presents additional details on horizontal and vertical grids. proprietary
@@ -6067,24 +6114,41 @@ GFSAD30SAAFGIRCE_001 Global Food Security-support Analysis Data (GFSAD) Cropland
GFSAD30SACE_001 Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 South America product 30 m V001 LPCLOUD STAC Catalog 2013-01-01 2016-12-31 -110, -60, -20, 15 https://cmr.earthdata.nasa.gov/search/concepts/C2763261708-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over South America for nominal year 2015 at 30 meter resolution (GFSAD30SACE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30SACE data product uses the pixel-based supervised classifier, Random Forest (RF), to retrieve cropland extent from a combination of Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 8 Operational Land Imager (OLI) data, and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD30SACE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10° by 10° area. proprietary
GFSAD30SEACE_001 Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Southeast and Northeast Asia product 30 m V001 LPCLOUD STAC Catalog 2013-01-01 2016-12-31 70, -45, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763261715-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over Southeast and Northeast Asia for nominal year 2015 at 30 meter resolution (GFSAD30SEACE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30SEACE data product uses the pixel-based supervised classifiers, Random Forest (RF), to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD30SEACE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10° by 10° area. proprietary
GFSAD30VAL_001 Global Food Security-support Analysis Data (GFSAD) Cropland Extent-Product 2015 Validation 30 m V001 LPDAAC_ECS STAC Catalog 2008-01-01 2016-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1432078714-LPDAAC_ECS.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data of the globe for nominal year 2015 at 30 meter resolution. The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30 Validation (GFSAD30VAL) data product provides a thorough and independent accuracy assessment and validation of the cropland extent products produced for each of the seven regions. The accuracy assessment and validation process utilizes a cluster of 3 by 3 pixels of 30 meter data to resample the product to 90 meter resolution. Each GFSAD30VAL shapefile contains information on sample locations, presence of cropland or no cropland, and the zones that were randomly selected for accuracy assessment across the globe. proprietary
+GGD200_1 Borehole temperatures in deep wells of Western Siberia, Russia, 1960-1995, Version 1 NSIDCV0 STAC Catalog 1960-01-01 1995-12-31 67, 60, 80, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1386206546-NSIDCV0.umm_json This data set is a database of the permafrost and geothermal conditions of the oil and gas deposits of Western Siberia. Data were taken from 736 plots, each having from one to ten wells. The data set includes soil and rock temperatures at 20, 50, 100, 200, 300, 400, 500, 1000, and 3000 meters; depth of the bedding of the top and bottom of permafrost layers; size of the thermal flows in the subpermafrost; and thickness of frozen layers and underlying thawed layers. Additional information includes the geographical coordinates of the sites, the air temperature, permafrost-geothermal geological sections, maps of thermal flows, and the distribution of the temperatures at each depth (down to 5000 meters). The data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
GGD222_1 Active layer and permafrost properties, including snow depth, soil temperature, and soil moisture, Barrow, Alaska, Version 1 NSIDCV0 STAC Catalog 1962-01-01 1993-12-31 -156.78872, 71.29058, -156.78872, 71.29058 https://cmr.earthdata.nasa.gov/search/concepts/C1386206550-NSIDCV0.umm_json This data set contains soil temperature, soil moisture, thaw depth, and snow depth data collected at test sites near Barrow, Alaska, during the following years. Soil temperature data - 1963-1966, 1993 Soil moisture data - 1963 Thaw depth - 1962-1968, 1991-1993 Snow depth - 1963-1964 This study focused on characterizing the active soil layer at Barrow, and determining the relationships between and among these physical properties at permafrost sites in the Arctic. This site is U1 of the IPA's Circumpolar Active Layer Monitoring (CALM) Program and later measurements are available at the CALM Web site. proprietary
+GGD223_1 Borehole locations and permafrost depths, Alaska, USA, Version 1 NSIDCV0 STAC Catalog 1950-01-01 1989-12-31 -165.767, 62.19, -141.15, 71.189 https://cmr.earthdata.nasa.gov/search/concepts/C1386206551-NSIDCV0.umm_json The methods utilized by the U.S. Geological Survey to measure subsurface temperatures have evolved considerably over the years. Although some of the early measurements were obtained using thermistor strings frozen into permafrost, the vast majority of the measurements were made in fluid-filled holes using a custom temperature sensor. A typical sensor used in Alaska prior to 1989 consisted of a series-parallel network of 20 thermistors; see Sass et al. [1971] for a more detailed description. During a logging experiment, the resistance of the thermistor network was determined using a Wheatstone bridge prior to 1967. After that time, a 4-wire resistance measurement was made using a commercial 5.5-digit multimeter (DMM). Before 1984, boreholes were logged in the 'incremental' or 'stop-and-go' modes; the vertical spacing of the measurements was typically 3-15 m. Beginning in 1984, the depth/resistance measurements were automatically stored on magnetic tape, allowing boreholes to be logged in the 'continuous' mode; the typical data spacing for the continuous temperature logs was 0.3 m (1 ft). Many of the Alaskan boreholes were re-logged several times to quantify the thermal disturbance caused by drilling the holes (see Lachenbruch and Brewer [1959]). A review of current temperature measuring techniques used by the USGS in the polar regions is given by Clow et al. [1996]. Data from 1950-1989 are included on the CAPS CD-ROM Version 1.0, June 1998. proprietary
GGD239_1 Active layer physical processes at Broeggerhalvoya, western Spitsbergen, Version 1 NSIDCV0 STAC Catalog 1985-07-01 1986-06-30 12.462, 78.958, 12.462, 78.958 https://cmr.earthdata.nasa.gov/search/concepts/C1386206556-NSIDCV0.umm_json These data have been collected from an Arctic desert site (latitude 78o57'29N, longitude 12o27'42E), Broeggerhalvoya in western Spitsbergen, 10 km NW from Ny Alesund, 45 m above sea level, 2 km from the shore. This is a low relief tip of a bedrock peninsula covered with several meters of glacial drift and reworked raised beach ridges. The measurements are obtained in the site of well developed patterned ground, sorted polygons, where the influence of plants, including thermal insulation and transpiration, is negligible. The 1985-1986 period was average. Mean annual air temperature was -6.6 C, 0.4 C colder than the long-term (1975-1990) mean, but well within the mean variability. Mean winter air temperature is relatively warm (mean of coldest month, February, is -14.6 C). Annual precipitation was 17 % greater than the ong-term mean (372 mm); however, the number of rain-on-snow events was less (3) than average (5.5). Overall, the reference period is close to long-term averages. A program of automated soil temperature recordings was initiated in the summer of 1984, at a patterned ground field site Thermistors were placed approximately 0.1 m apart in an epoxy-filled PVC rod (18 mm outside diameter), buried in the center of a fine-grained domain of a sorted circle, down to 1.14 m below the ground surface. The data presented here covers 7/1/85-7/1/86, once a day (6 am), at two levels (0.0 m, 1.145 m below surface). The resolution of the thermistors is 0.004 C, and the accuracy is estimated to be 0.02 C near 0 C. Missing data accounts for less than 7 %. The gaps are filled with simple average of the beginning and end of the gap values. For a detailed description of the field site and data analysis see Putkonen (1997) and Hallet and Prestrud (1986). These data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
GGD23_1 Active-Layer and Permafrost Temperatures, Sisimiut (Holsteinsborg), Greenland, Version 1 NSIDCV0 STAC Catalog 1967-09-01 1982-08-31 -53.64, 66.94, -53.64, 66.94 https://cmr.earthdata.nasa.gov/search/concepts/C1386206552-NSIDCV0.umm_json This data set contains active-layer and permafrost temperatures from Sisimiut, west Greenland, recorded from 18 sensors at depths of 0.25 m, 0.5 m, 0.75 m, 1 m, 1.25 m, 1.5 m, 1.75 m, 2 m, 2.5 m, 3 m, 3.5 m, 4 m, 4.5 m, 5 m, 6 m, 7 m, 8 m, and 9 m below the surface. Snow depth, snow extent, and surface air temperature were also recorded. Thermometers recorded temperatures once a day from September 1967 to August 1982; however, this data set only contains bi-weekly averages. Data are in tab-delimited ASCII text format and are available via FTP. proprietary
GGD249_1 Active layer thickness and ground temperatures, Svea, Svalbard, Version 1 NSIDCV0 STAC Catalog 1987-07-01 1996-05-31 16.683, 77.9, 16.683, 77.9 https://cmr.earthdata.nasa.gov/search/concepts/C1386206575-NSIDCV0.umm_json Snow and soil temperature records for January 1988 - May 1996 are presented. Included are snow depth and weight measurements, snow density (calculated), active layer depth in the frost tubes, weight of wet and dried soil samples from unknown depth within the active layer (water content calculated), and soil temperature at the surface (0.05 cm) and to the depths of 3 to 4 meters at 3 sites. The sites are 1) on a road covered by 1 m of gravel underlain by clay; 2) outside a building on piles, (sensors are placed 1 to 2 m from the building wall); and 3) under the building between piles. In addition, air temperature was measured inside the building or between the piles (documentation is not clear on this point.) There are several gaps in temperature measurements (January 1991 to May 1992). These data are presented on the CAPS CD-ROM version 1.0, June 1998. Air temperature, wind direction, and temperature were measured at 5, 20, 50, 100, 150, and 200 cm below the tundra surface at an undisturbed site; and at 5, 20, 50, 100, 150, 200 cm, and 3 m and 8 m below the concrete surface of a building. Incoming radiation, outgoing radiation, temperature of the heat flux instrument, global radiation, heat flux, wind speed, wind speed maximum, average wind speed, and temperature inside the building were measured since 1993 with data loggers. All data are recorded for July 1987 - February 1996. proprietary
+GGD272_1 Cryosolic pedons from Russia and Alaska, Version 1 NSIDCV0 STAC Catalog 1970-01-01 -149, 62, 161, 69 https://cmr.earthdata.nasa.gov/search/concepts/C1386206581-NSIDCV0.umm_json U.S. pedon data on the CAPS Version 1.0 CD-ROM, June 1998, are a sample of the pedon data contained on a CD-ROM produced by the National Soil Survey Center - Soil Survey Laboratory(NSSC-SSL). The data include recent pedons from analyses for soil characterization and research within the National Cooperative Soil Survey. Less-than-complete characterization data are available for many pedons because only selected measurements were planned or because the planned measurements are not yet complete. This database is dynamic-- data for additional pedons are added as they are sampled and analyzed, other information is updated as pedons are classified, suspect measurements are rerun and replaced, and errors are found and corrected. The data on the NSSC-SSL CD-ROM represent a 'snapshot' of the database. The database includes pedons that represent the central concept of a soil series, pedons that represent the central concept of a map unit but not of a series, and pedons sampled to bracket a range of properties within a series or landscape. Thus, attribute data for some data elements may be incomplete or missing for certain portions of the United States. In instances where data are unavailable, a mask should be used to exclude the area from the analysis. For research purposes, all data are retained in the database. Users unfamiliar with a given soil or set of data may want to consult with a research soil scientist at the National Soil Survey Center. A research soil scientist can be reached by telephone at (402) 437-5006, or by writing the Soil Survey Laboratory Head, National Soil Survey Center, Natural Resources Conservation Service, Federal Building, Room 152, 100 Centennial Mall North, Lincoln, NE 68508-3866 USA. Pedons on the CAPS Version 1.0 CD-ROM cover areas in Russia (60 deg 37 min N to 69 deg 27 min N; 159 deg 07 min E to 161 deg 33 min E) and in Alaska (62 deg to 68 deg N; 135 deg to 149 deg W). proprietary
+GGD311_1 Cryosolic pedons from Northern Canada, Version 1 NSIDCV0 STAC Catalog 1975-01-01 1996-12-31 -138.997, 63.942, -64.681, 81.832 https://cmr.earthdata.nasa.gov/search/concepts/C1386206775-NSIDCV0.umm_json Pedons included here represent Cryosolic (permafrost-affected) soils from across the Canadian North from Baffin Island in the east, to the lower Mackenzie Valley and northern Yukon in the west, and to Ellesmere Island in the High Arctic. Pedon locations are Pangnirtung Pass, Baffin Island, N.W.T. (8 pedons); Inuvik area, N.W.T. (2 pedons); Mackenzie Delta, N.W.T. (2 pedons); Tanquary Fiord, Ellesmere Island, N.W.T. (4 pedons); Lake Hazen, Ellesmere Island, N.W.T. (4 pedons); Eagle Plains, northern Yukon (3 pedons); Dawson City area, central Yukon (2 pedons). Cryosolic soils, according to the Canadian soil classification, are either mineral or organic materials that have permafrost either within 1 m of the surface (Static and Organic Cryosols) or within 2 m (Turbic Cryosols) if more than one-third of the pedon has been strongly cryoturbated, as indicated by disrupted, mixed, or broken horizons. They have a mean annual temperature below 0 degree C. In the soil profile descriptions, the perennially frozen (permafrost) soil horizons are identified by the letter 'z'. The descriptions and nomenclature used to describe these pedons are according to - Expert Committee on Soil Survey. 1983. The Canada Soil Information System, Manual for describing soil in the field. Agriculture Canada, Ottawa, Canada. Agriculture Canada Expert Committee on Soil Survey. 1987. The Canadian System of Soil Classification. (2nd ed.) Research Branch, Agriculture Canada, Ottawa, Canada. The methods for laboratory analysis are according to - Sheldrick, B.H. (editor). 1984. Analytical Methods Manual. 1984. Land Resource Research Institute, Agriculture Canada, Ottawa, Canada. Additional information relating to these pedons can be obtain by contacting Charles Tarnocai, Agriculture and Agri-Food Canada, Research Branch (ECORC), K.W. Neatby Building, Rm. 1135, 960 Carling Avenue, OTTAWA, Canada, K1A 0C6; Tel.- (613) 759-1857; Fax- (613) 759-1937; E-mail- tarnocaict@em.agr.ca. The data file on the CAPS Version 1.0 CD-ROM contains laboratory analyses of the soil samples, including chemical, physical, mineralogical (clay mineralogy when applicable), and particle size distribution analyses. proprietary
+GGD316_1 Catalog of boreholes from Russia and Mongolia, Version 1 NSIDCV0 STAC Catalog 1980-01-01 1993-12-31 53.383, 46.8, 178.683, 75.583 https://cmr.earthdata.nasa.gov/search/concepts/C1386206796-NSIDCV0.umm_json This catalog of boreholes from across Russia and Mongolia includes those published in papers and monographs as well as other literature of limited circulation. The 122 boreholes were used to derive a characterization of the Russian territory according to eight geocryological regions. Five boreholes are included for Mongolia. Data from these boreholes were used in the generation of the Circum-arctic Map of Permafrost and Ground-Ice Conditions (Brown et al., 1997). Data obtained from various sources as noted within each borehole entry. The time period varies for each borehole, but is primarily from the late 1980s to early 1990s. Observation methods include 'Standard logging', a combined natural gamma logging, electric logging and well caliper logging; 'Geothermal observations' which demonstrate the thickness of layer with the temperature below zero (data of Yakutsk Permafrost Institute, Siberian Branch, Academy of Sciences of the USSR); visual observations on ice-content in the core, and depth of appearance of fresh water table; thermologging of the boreholes (studies of 'PGO Yakutskgeologia'); and electric, well caliper and thermal logging in pioneer and exploratory oil and gas wells ('PGO Lenaneftegasgeologia' studies). The permafrost base is exposed by a number of adjacent boreholes; interval of fluctuations of permafrost depth is shown. The data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
+GGD318_2 Circum-Arctic Map of Permafrost and Ground-Ice Conditions, Version 2 NSIDCV0 STAC Catalog 1970-01-01 -180, 28, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206814-NSIDCV0.umm_json The Circum-Arctic permafrost and ground ice map is available via ftp in ESRI Shapefile format and Equal-Area Scalable Earth Grid (EASE-Grid) format. See the Format section for an explanation of the files provided via FTP. The circumpolar permafrost and ground ice data contribute to a unified international data set that depicts the distribution and properties of permafrost and ground ice in the Northern Hemisphere (20°N to 90°N). The re-gridded data set shows discontinuous, sporadic, or isolated permafrost boundaries. Permafrost extent is estimated in percent area (90-100 percent, 50-90 percent, 10-50 percent, <10 percent, and no permafrost). Relative abundance of ground ice in the upper 20 m is estimated in percent volume (>20 percent, 10-20 percent, <10 percent, and 0 percent). The data set also contains the location of subsea and relict permafrost. the gridded data are gridded at 12.5 km, 25 km, and 0.5 degree resolution. The shapefiles were derived from the original 1:10,000,000 paper map (Brown et al. 1997) Permafrost, or permanently frozen ground, is ground (soil, sediment, or rock) that remains at or below 0°C for at least two years (Permafrost Subcommittee, 1988). It occurs both on land and beneath offshore arctic continental shelves, and underlies about 22 percent of the Earth's land surface. For more information on the creation of the original map, see Heginbottom et al. (1993). The original paper map also includes information on the relative abundance of ice wedges, massive ice bodies and Pingos, ranges of permafrost temperature and thickness (Brown et al. 1997). proprietary
+GGD332_1 Borehole temperatures from mountain permafrost monitoring, Mongolia, Version 1 NSIDCV0 STAC Catalog 1970-01-01 1996-12-31 98.24, 45.217, 108.29, 51.06 https://cmr.earthdata.nasa.gov/search/concepts/C1386206833-NSIDCV0.umm_json Location and description of some geocryological boreholes in Mongolia. Data include latitude, longitude, location, depth of permafrost top and bottom, and mean annual soil temperature. These data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
GGD353_6 Active Layer Monitoring, Arctic and Subarctic Canada, Version 6 NSIDCV0 STAC Catalog 1991-01-01 2007-12-31 -134.95, 61.883, -121.6, 69.717 https://cmr.earthdata.nasa.gov/search/concepts/C1386206842-NSIDCV0.umm_json This project involves measuring regional and site variability in maximum annual active layer development and vertical surface movement over permafrost, and monitoring sites over time in order to observe trends. The project records maximum thaw penetration, maximum heave and subsidence, late season snow depths, current depth of thaw, elevation, and soil properties. Some sites are twinned with soil- and air-temperature recording equipment. The project includes about 60 monitoring stations extending from Fort Simpson, Canada, in the upper Mackenzie River valley to the Beaufort Sea coast at North Head, Richards Island, Canada. Ten of the sites are part of the IPA's Circumpolar Active Layer Monitoring (CALM) Program. CALM site numbers are in parentheses after the site names: North Head (C3), Taglu (C4), Lousy Point (C5), Reindeer Depot (C7), Rengleng River (C8), Mountain River (C9), Norman Wells (C11), Ochre River (C13), Willowlake River (C14), and Fort Simpson (C15). See the CALM Program Web page for geographic coordinates and site history for all CALM sites. These data are the property of the people of Canada and the responsibility of the Geological Survey of Canada. If published, adequate acknowledgment is expected. Please contact F. M. Nixon regarding use of the data set or access to the extended data. proprietary
+GGD402_1 Borehole and environmental protection descriptive and numerical data, Yamal Peninsula, Russia, Version 1 NSIDCV0 STAC Catalog 1977-01-01 1990-12-31 65.5, 66, 74, 72.5 https://cmr.earthdata.nasa.gov/search/concepts/C1386206850-NSIDCV0.umm_json This database of selected borehole records from the Yamal Peninsula, Russia, contains environmental descriptions (textual and numerical) of the units on the index map, and relevant borehole data. The Index Map of Yamal Peninsula (VSEGINGEO-Earth Cryosphere Institute SB RAS; PI - Prof.E.S.Melnikov) was originally compiled at a scale of 1 to 1,000,000, as 'The Map of Natural Complexes of West Siberia for the Purpose of Geocryological Prediction and Planning of Nature-Protection Measures for the Mass Construction, 1 to 1 mln' (1991) by E.S.Melnikov and N.G.Moskalenko (eds.). It was taken as a base map for nature-protection regionalization. Environmental 'regions', 'sub-regions', 'landscapes' and localities' shown on a landscape map are merged into the nature-protection regions. The map was compiled by interpreting more than 1000 satellite images and aerial photos as well as from analysis of field data from several institutions. Dominating components of the landscape, composition of the surface deposits, geocryological conditions and natural protection of ground water were considered while distinguishing the Nature-Protection Regions within the limits of Environmental Regions (Melnikov, 1988). The map is supplied with relevant databases, containing the following information - number of regions and landscape type; category of resiliency; category of the ground water protection; vegetation type; geological and geocryological structure to the depth of 10-15 m; ice content (of lenses and of macro-inclusions separately); thickness of seasonally frozen and seasonally thawed layers; ground temperature; contemporary exogenic geological (periglacial) processes; and the area affected by these processes. The 55 nature-protection regions of Yamal Peninsula generalize information. To approve the ranges of geocryological and cryolithological characteristics, 160 boreholes were retrieved out of the database containing more than 4000 boreholes data obtained in 1977-1990 by Fundamentproekt Design Institute (Moscow, Russia; PI - Dr.sci.M.A.Minkin) at Kharasavey and Bovanenkovo gas fields and along the pipelines Yamal-Ukhta and Yamal-Uzhgorod. The boreholes have reference to geographical coordinates (latitude and longitude), as well as to the nature-protection region numbers shown on the Index Map. A total of 21 units are covered by borehole data, 5-8 boreholes in each unit, covering most typical conditions The original database consisted of 3 relational tables. The first table includes category of resiliency; locality type description; landscape type description; ground-ice content, water saturation, cryogenic structure, macro-ground-ice content; vegetation types; seasonally frozen and seasonally thawed layer depths; ground temperature at 10 m; exogenic geological processes an their paragenesis and combinations; and degree of the surface disturbance. The second relational table contains layer-by-layer description of the lithological section types. The third table for the boreholes includes the description of topography around the borehole; types of geological profiles through the active layer and depths down to the permafrost table; ground temperature at 10-m depth (close to the depth of zero annual amplitude in the area); macro-ice content; and salinity of permafrost. These data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
+GGD499_1 Borehole permafrost data, Kumtor and Taragai Valleys, Tienshan, Kazakhstan, Version 1 NSIDCV0 STAC Catalog 1974-02-23 1995-03-29 77.817, 41.65, 78.233, 41.933 https://cmr.earthdata.nasa.gov/search/concepts/C1386206869-NSIDCV0.umm_json This dataset includes observations of the permafrost temperatures in the Inner Tien Shan were started in 1986 by Kazakhstan Alpine Permafrost Laboratory. Observations are carried out on more than 40 boreholes, at altitudes between 3300-4200 m. The depths of the boreholes vary from 30 to 600 m. The boreholes are located in both loose (moraines) sediments and bedrock. Several boreholes are situated in the territory of the 'Kumtor' goldmine. The geocryological conditions of goldmine 'Kumtor' and nearby territory have been discussed in scientific reports 1988, 1989 and articles (see references). Two boreholes were drilled in body of glacier 'Davydov' and located in the central and lateral parts of the glacier (depth - 30 m). A third borehole passed through the glacier, moraine and bedrock to a depth of 600 m. In the Kumtor and Taragai valleys, permafrost temperature in 14 boreholes from 25 to 50 m depth, between 3300-3750 m ASL were observed. The distance between outermost boreholes is about 40 km. Temperature measurements in 9 geological prospecting adits [tunnels] (lengthwise 1500-1900 m) located in the four neighboring valleys (altitudes from 3920 to 4010 m) were carried out. At the same sites, but in natural conditions, the thermal conductivity of the bedrock was determined by the cylindrical sounding method. Grain size, soil moisture content, cryogenic structure and depth of seasonal thaw were also obtained from 15 pits located in differing altitudinal levels and exposures. At two further sites, ground temperatures measurements at depths of 0, 2, 5, 10, 15, 20 and 40 cm were taken every hour during daylight hours every 5 days over a two year period. Air temperature, wind velocity and duration of daylight were measured at the same time as the ground temperature measurements. These data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
+GGD503_1 Canadian Geothermal Data Collection: Deep permafrost temperatures and thickness of permafrost, Version 1 NSIDCV0 STAC Catalog 1965-01-01 1997-12-31 -151, 60, -60, 85 https://cmr.earthdata.nasa.gov/search/concepts/C1386206872-NSIDCV0.umm_json Precision temperature measurements have been made in some 150 deep wells and holes drilled in the course of natural resource exploration in the permafrost regions of Northern Canada. In most cases, holes were logged by lowering a probe containing a regions of Northern Canada. In most cases, holes were logged by lowering a probe containing a thermistor incrementally down the well, in other cases multi-thermistor cables were left in the holes and periodic measurements taken. In the 1990's, a few holes were logged by a automatic quasi- continuous logging system. Most holes were logged annually for 5-10 years after drilling completion, and measured temperatures show the disturbance due to drilling and the gradual recovery to near-undisturbed conditions. Some holes in the collection are of depth less than 125 m. Permafrost thicknesses are estimated at each well or hole from the depth of the 0 degree Celsius isotherm. This data collection provides the highest quality of permafrost temperature and permafrost thickness information available for Northern Canada. Other data are the large number of downhole temperature and permafrost thickness estimates taken during commercial well logging of petroleum exploration wells, and are by nature of lesser quality. These data are not included in this data set, but references to compilations of this data are provided. A short text (2000 words), tables of site locations and permafrost thicknesses with small-scale maps, and an extensive bibliography accompany the data collection. The file structure and contents of each file are well described. The text is sufficient to locate the data of interest, and the file description is adequate for a user to recover the parameters of interest. The data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
GGD611_1 Air Temperatures at High Altitude, Kanchanjunga Himal, Eastern Nepal, Version 1 NSIDCV0 STAC Catalog 1998-11-04 1999-11-17 87.933, 27.65, 88.067, 27.8 https://cmr.earthdata.nasa.gov/search/concepts/C1386206883-NSIDCV0.umm_json This data set provides air temperature (1.5 m above ground surface) data from the Kanchanjunga Himal, eastern Nepal. Air temperature was monitored from November 1998 to November 1999 at three locations (Tengkoma, Lhonak, and Ghunsa) at altitudes of 3410, 4750 and 6012 m ASL. Although temperature was measured at one-hour intervals, only daily mean values are provided. proprietary
GGD622_1 Active-Layer Depth of a Finnish Palsa Bog, Version 1 NSIDCV0 STAC Catalog 1993-09-08 2002-10-14 27.17, 69.82, 27.17, 69.82 https://cmr.earthdata.nasa.gov/search/concepts/C1386206889-NSIDCV0.umm_json This data set contains 76 active-layer depth measurements (cm) of the Vaisjeäggi palsa bog, Finland, from 08 September 1993 to 14 October 2002. Data were collected from a single location at 69 deg 49'16.6' N, 27 deg 10'17.1' E. Data also contain snow depth (cm) when snow cover was present. Data are in tab-delimited ASCII text format, and are available via ftp. proprietary
+GGD623_1 Annual Thaw Depths and Water Depths in Tanana Flats, Alaska, Version 1 NSIDCV0 STAC Catalog 1995-08-01 2002-08-01 -147.9, 64.7, -147.9, 64.7 https://cmr.earthdata.nasa.gov/search/concepts/C1386206891-NSIDCV0.umm_json Thaw depths and water depths were monitored at 1 m to 2 m intervals along a 255-m transect across an area of discontinuous and degrading permafrost on the Tanana Flats south of Fairbanks, Alaska. Measurements were taken once a year in late August from 1995 to 2002 to show effects of winter snow depths, climate warming, and vegetation and wetland creation-surface subsidence. Data are in a single tab-delimited ASCII text file, available via FTP. proprietary
GGD632_1 Active-Layer and Permafrost Temperatures, Soendre Stroemfjord, Greenland, Version 1 NSIDCV0 STAC Catalog 1967-09-06 1976-02-15 50.8, 67, 50.8, 67 https://cmr.earthdata.nasa.gov/search/concepts/C1386206903-NSIDCV0.umm_json This data set contains active-layer and permafrost temperatures from two stations in Soendre Stroemfjord, Greenland. Snow depth and snow extent were also recorded. Thermometers at Station A (67 deg N, 50.8 deg W, 50 m asl) recorded temperatures once a day from September 1967 to February 1976. Thermometers at Station B (67 deg N, 50.8 deg W, 38 m asl) recorded temperatures once a day from September 1967 to August 1970; however, only bi-weekly averages are given for Station B. Data are in tab-delimited ASCII text format and are available via FTP. proprietary
+GGD641_2 Arctic Soil Freeze/Thaw Status from SMMR and SSM/I, Version 2 NSIDCV0 STAC Catalog 1978-10-01 2004-06-30 -180, 45, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246391-NSIDCV0.umm_json This data set contains near-surface (< 5 cm) soil freeze/thaw status on snow-free and snow-covered land surfaces over the Arctic terrestrial drainage basin. The near-surface soil freeze/thaw status is determined by using passive-microwave remote sensing data over snow-free land and a numerical model over snow-covered land. Data are projected to a 25 km x 25 km Northern Hemisphere EASE-Grid. Version 2 of this data set greatly extends the temporal coverage and makes use of data from SMMR as well as SSM/I. Data are from October 1978 to June 2004. Data are in ASCII text format and are available via FTP. proprietary
+GGD642_1 Annual Thaw Depths in Illisarvik, Northwest Territories, Version 1 NSIDCV0 STAC Catalog 1979-08-21 1999-08-18 134.5333, 69.5, 134.5333, 69.5 https://cmr.earthdata.nasa.gov/search/concepts/C1386206904-NSIDCV0.umm_json Thaw-depth data were collected annually in August from 21 August 1979 to 18 August 1999, from 400-m, 600-m, and tundra transects at Illisarvik lake, Richards Island, Northwest Territories, Canada. Coordinates are 69 deg 30 min N, 134 deg 32 min W. Data are in tab-delimited ASCII text format, and are available via FTP. proprietary
+GGD648_1 Geocryology and Geocryological Zonation of Mongolia, Version 1 NSIDCV0 STAC Catalog 1990-01-01 1990-12-31 87.00179, 40.60767, 121.35476, 52.22926 https://cmr.earthdata.nasa.gov/search/concepts/C1386206905-NSIDCV0.umm_json The map of Geocryology and Geocryological Zonation of Mongolia was derived from the National Atlas of Mongolia (Sodnom and Yanshin, 1990). The data set depicts the distribution and general properties of permafrost and seasonally frozen ground and locations of specific cryogenic phenomena in Mongolia. Two plates were digitized. One plate, at a scale of 1:12,000,000, depicts four general geocryological zones: continuous and discontinuous permafrost, insular and sparsely insular permafrost, sporadic permafrost, and seasonally frozen ground. The second plate, at a scale of 1:4,500,000, depicts 14 different terrain classifications determined according to elevation, mean annual air temperature, permafrost thickness and thaw depth, and seasonal frozen ground freeze depth. The locations of six specific cryogenic phenomena are also included: perennial frost mounds, icings, thermokarst, cryogenic landslides, solifluction, and cryogenic planation. Data are available via FTP as ESRI shapefiles. proprietary
+GGD651_1 Arctic EASE-Grid Freeze and Thaw Depths, 1901 - 2002, Version 1 NSIDCV0 STAC Catalog 1901-01-01 2002-12-31 -180, 50, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206909-NSIDCV0.umm_json This data set contains mean, median, minimum and maximum freeze and thaw depths for each year from 1901 to 2002 on the 25 km resolution Equal-Area Scalable Earth Grid (EASE-Grid) for areas north of 50 deg. Freeze and thaw depths are estimated using a variant of the Stefan solution using an edaphic factor and freezing or thawing indices as inputs. The edaphic factor is estimated based on different land surface types; the freezing and thawing indices are from Northern Hemisphere EASE-Grid annual freezing and thawing indices, 1901 - 2002 (Zhang, et al. 2005). Two ASCII files are available for each year for freeze depth and thaw depth, respectively. Each file is approximately 25.6 MB in size. In addition, there is one 10.5 MB ASCII file defining the latitude and longitude coordinates for each grid point. The data set is available via FTP as three compressed files. proprietary
+GGD700_1 Boreholes and temperature logs from the Tibetan Plateau and Northeast China, Version 1 NSIDCV0 STAC Catalog 1962-08-31 1995-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206914-NSIDCV0.umm_json Four groups of borehole data from the Qinghai-Xizang (Tibet) Plateau are presented. 1) Boreholes at three sites, with sand surface, natural surface, and near a sand dune, at 66 Road Station - 1994 and 1995 measurements to about 17 meters. 2) Borehole temperatures at Borehole CK123 - 1979, 1984, 1994 measurements to 60 meters. 3) Borehole temperatures at five sites in Fenghuoshan Station area - 1962, 1967, 1980, 1984, 1989, 1994, 1995 measurements to 35 meters. 4) Boreholes at Xidatan-Kunlun Pass area - 1994 and 1995 measurements to 17.5 meters; 1994 and 1995 measurements to 25 meters; and 1975, 1976, 1979, 1985, 1989, 1994 and 1995 to 30 meters. Data provided by Wang Shaoling and Cheng Guodong, Lanzhou Institute of Glaciology and Geocryology. Some of these data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
+GGD906_1 Daily Soil Temperature and Meteorological Data for Sites at Toolik Lake Alaska, Version 1 NSIDCV0 STAC Catalog 1988-06-01 2002-08-30 -149.6, 68.63, -149.6, 68.63 https://cmr.earthdata.nasa.gov/search/concepts/C1386206916-NSIDCV0.umm_json This data set consists of daily air, water, and soil temperature, wind speed, vapor pressure, and the sum of global radiation and unfrozen precipitation data from the Toolik Lake area of Alaska between 1998 and 2002. The data includes readings from two sites: the Toolik Arctic Long Term Ecological Research (LTER) Tundra site and the nearby Toolik Tussock Experimental plots site that includes soil measurements from fertilized and unfertilized greenhouse and 'shadehouse' areas. Data loggers recorded soil temperatures at various intervals down to 150 cm. Air temperatures were recorded between 1 and 5 meters. The data consist of 28 comma-delimited ASCII text files, and are available via ftp. Data files for each site contain slightly different meteorological parameters. This data set is a subset of the more comprehensive data set, Monitoring and Manipulation of Tundra Response to Climate Change, Arctic LTER, Toolik Lake, Alaska. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant number OPP-9810222. proprietary
GHGSat.archive.and.tasking_NA GHGSat archive and tasking ESA STAC Catalog 2020-09-02 -180, -86.3, 180, 86.3 https://cmr.earthdata.nasa.gov/search/concepts/C2119689583-ESA.umm_json The GHGSat-C1 and GHGSat-C2 satellites capture with very high spatial and spectral resolution the greenhouse gas emissions and measures the vertical column densities of atmospheric gases through its hyperspectral imaging spectrometer operating in a narrow band of the short-wave infrared (SWIR) region of the electromagnetic spectrum. Both archive and new tasking data can be requested, based on a single observation of the scene, as well as the full year product which is the average annual emission rate based on as many observations as can be successfully collected. Following products are made available • Abundance dataset (Level 2): Set of per-pixel abundances (ppb or mol/m2) for a single species, and per-pixel measurement error expressed as a standard deviation for a single site on a single satellite pass. Data format is GeoTIFF (16-bit) or optionally GeoTIFF (32-bit or 64-bit floating point) • Concentration Maps (Level 2): High readability pseudocolour map combining surface reflectance, and column density expressed in ppb or mol/m2 for a single species in PNG (optional PDF) format. The relevant abundance dataset is provided as well. • Emission Rates (Level 4): Instantaneous emission rate from targeted source estimated using abundance datasets from a single satellite pass and applying dispersion modelling techniques in PDF format. The delivered product includes the emission rate estimate with uncertainty and key dispersion parameters (in CSV format) as well as the abundance dataset used for the emission estimate. The properties of available products are summarized in the table Table Details about the data provision, data access conditions and quota assignment procedure are described in the GHGSat Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/GHGSat-Terms-of-Applicability.pdf). proprietary
GHISACASIA_001 Global Hyperspectral Imaging Spectral-library of Agricultural crops for Central Asia V001 LPCLOUD STAC Catalog 2006-04-30 2007-08-28 56, 36, 77, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2763264649-LPCLOUD.umm_json The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircrafts and drones), and ground based hyperspectral imaging spectroscopy. The GHISA for Central Asia (GHISACASIA) Version 1 product provides dominant crop data (wheat, rice, corn, alfalfa, and cotton) in different growth stages across the Galaba and Kuva farm fields in the Syr Darya river basin in Central Asia. The GHISA hyperspectral library for the two irrigated areas was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired in 2007 and ASD (Analytical Spectral Devices, Inc.) Spectroradiometer data acquired in 2006 and 2007. GHISACASIA is extracted from three Hyperion hyperspectral images and several thousands of field ASD Spectroradiometer data. Measurements were taken from 1,232 randomly chosen points scattered across the two farm sites throughout the growing season. All the processing algorithms are coded in Statistical Analysis System (SAS) format and available for download. Provided in the .xlsx files are the spectral library including image information, plot IDs, study area, instrument, Julian or acquisition date, and crop type labels for Central Asia sample fields. proprietary
GHISACONUS_001 Global Hyperspectral Imaging Spectral-library of Agricultural crops for Conterminous United States V001 LPCLOUD STAC Catalog 2008-01-01 2015-12-31 -125, 24, -67, 49 https://cmr.earthdata.nasa.gov/search/concepts/C2763264663-LPCLOUD.umm_json The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircrafts and drones), and ground based hyperspectral imaging spectroscopy. The GHISA for the Conterminous United States (GHISACONUS) Version 1 product provides dominant crop data in different growth stages for various agroecological zones (AEZs) of the United States. The GHISA hyperspectral library of the five major agricultural crops (e.g., winter wheat, rice, corn, soybeans, and cotton) for CONUS was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired from 2008 through 2015 from different AEZs of CONUS using the United States Department of Agriculture (USDA) Cropland Data Layer (CDL) as reference data.. GHISACONUS is comprised of seven AEZs throughout the United States covering the major agricultural crops in six different growth stages: emergence/very early vegetative (Emerge VEarly), early and mid vegetative (Early Mid), late vegetative (Late), critical, maturing/senescence (Mature Senesc), and harvest. The crop growth stage data were derived using crop calendars generated by the Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison. Provided in the CSV file is the spectral library including image information, geographic coordinates, corresponding agroecological zone, crop type labels, and crop growth stage labels for the United States. proprietary
GIMMS3g_NDVI_Trends_1275_1 Long-Term Arctic Growing Season NDVI Trends from GIMMS 3g, 1982-2012 ORNL_CLOUD STAC Catalog 1982-06-01 2012-08-31 -180, 20, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784897341-ORNL_CLOUD.umm_json This data set provides normalized difference vegetation index (NDVI) data for the arctic growing season derived primarily with data from Advanced Very High Resolution Radiometer (AVHRR) sensors onboard several NOAA satellites over the years 1982 through 2012. The NDVI data, which show vegetation activity, were averaged annually for the arctic growing season (GS; June, July and August). The products include the annual GS-NDVI values and the results of a cumulative GS-NDVI time series trends analysis. The data are circumpolar in coverage at 8-km resolution and limited to greater than 20 degrees N.These normalized difference vegetation index (NDVI) trends were calculated using the third generation data set from the Global Inventory Modeling and Mapping Studies (GIMMS 3g). GIMMS 3g improves on its predecessor (GIMMS g) in three important ways. First, GIMMS 3g integrates data from NOAA-17 and 18 satellites to lengthen its record. Second, it addresses the spatial discontinuity north of 72 degrees N, by using SeaWiFS, in addition to SPOT VGT, to calibrate between the second and third versions of the AVHRR sensor (AVHRR/2 and AVHRR/3). Finally, the GIMMS 3g algorithm incorporates improved snowmelt detection and is calibrated based on data from the shorter, arctic growing season (May-September) rather than the entire year (January-December). proprietary
GISS-CMIP5_1 GISS ModelE2 contributions to the CMIP5 archive NCCS STAC Catalog 0850-01-01 2100-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1542315069-NCCS.umm_json We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era (1980-2004) taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics. proprietary
GIS_EastAngliaClimateMonthly_551_1 Global Monthly Climatology for the Twentieth Century (New et al.) ORNL_CLOUD STAC Catalog 1900-01-01 1998-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2780535151-ORNL_CLOUD.umm_json A 0.5 degree lat/lon data set of monthly surface climate over global land areas, excluding Antarctica. Primary variables are interpolated directly from station time-series: precipitation, mean temperature and diurnal temperature range. proprietary
-GLAH01_033 GLAS/ICESat L1A Global Altimetry Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547306-NSIDC_CPRD.umm_json Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter. Each data granule has an associated browse product. proprietary
GLAH01_033 GLAS/ICESat L1A Global Altimetry Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.umm_json Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter. Each data granule has an associated browse product. proprietary
-GLAH02_033 GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547430-NSIDC_CPRD.umm_json GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product. proprietary
+GLAH01_033 GLAS/ICESat L1A Global Altimetry Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547306-NSIDC_CPRD.umm_json Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter. Each data granule has an associated browse product. proprietary
GLAH02_033 GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product. proprietary
+GLAH02_033 GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547430-NSIDC_CPRD.umm_json GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product. proprietary
GLAH03_033 GLAS/ICESat L1A Global Engineering Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.umm_json Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02. proprietary
GLAH03_033 GLAS/ICESat L1A Global Engineering Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02. proprietary
GLAH04_033 GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.umm_json Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing. proprietary
@@ -6093,24 +6157,24 @@ GLAH05_034 GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V
GLAH05_034 GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000460-NSIDC_ECS.umm_json GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization). Each data granule has an associated browse product. proprietary
GLAH06_034 GLAS/ICESat L1B Global Elevation Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product. proprietary
GLAH06_034 GLAS/ICESat L1B Global Elevation Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.umm_json GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product. proprietary
-GLAH07_033 GLAS/ICESat L1B Global Backscatter Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data. Each data granule has an associated browse product. proprietary
GLAH07_033 GLAS/ICESat L1B Global Backscatter Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.umm_json GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data. Each data granule has an associated browse product. proprietary
+GLAH07_033 GLAS/ICESat L1B Global Backscatter Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data. Each data granule has an associated browse product. proprietary
GLAH08_033 GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1631093696-NSIDC_ECS.umm_json GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate). Each data granule has an associated browse product. proprietary
GLAH08_033 GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.umm_json GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate). Each data granule has an associated browse product. proprietary
-GLAH09_033 GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549579-NSIDC_CPRD.umm_json GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz. Each data granule has an associated browse product. proprietary
GLAH09_033 GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991869-NSIDC_ECS.umm_json GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz. Each data granule has an associated browse product. proprietary
-GLAH10_033 GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-09-25 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.umm_json GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product. proprietary
+GLAH09_033 GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549579-NSIDC_CPRD.umm_json GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz. Each data granule has an associated browse product. proprietary
GLAH10_033 GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-09-25 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product. proprietary
+GLAH10_033 GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-09-25 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.umm_json GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product. proprietary
GLAH11_033 GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549738-NSIDC_CPRD.umm_json GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product. proprietary
GLAH11_033 GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991871-NSIDC_ECS.umm_json GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product. proprietary
GLAH12_034 GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH12_034 GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH13_034 GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH13_034 GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
-GLAH14_034 GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153551318-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH14_034 GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000443-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
-GLAH15_034 GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
+GLAH14_034 GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153551318-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH15_034 GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
+GLAH15_034 GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLCHMK_001 G-LiHT Canopy Height Model KML V001 LPCLOUD STAC Catalog 2011-06-30 -170, 10, -50, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2763264695-LPCLOUD.umm_json Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT(https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Canopy Height Model Keyhole Markup Language (KML) data product (GLCHMK) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed. GLCHMK data are processed as a Google Earth overlay KML file at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format. proprietary
GLCHMT_001 G-LiHT Canopy Height Model V001 LPCLOUD STAC Catalog 2011-06-30 -170, 10, -50, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2763264702-LPCLOUD.umm_json Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT(https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Canopy Height Model data product (GLCHMT) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed. GLCHMT data are processed as a raster data product (GeoTIFF) at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format. proprietary
GLDAS_CLM10SUBP_3H_001 GLDAS CLM Land Surface Model L4 3 hourly 1.0 x 1.0 degree Subsetted V001 (GLDAS_CLM10SUBP_3H) at GES DISC GES_DISC STAC Catalog 1979-01-02 2020-03-31 -180, -60, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1279404074-GES_DISC.umm_json With the upgraded Land Surface Models (LSMs) and updated forcing data sets, the GLDAS version 2.1 (GLDAS-2.1) production stream serves as a replacement for GLDAS-001. The entire GLDAS-001 collection from January 1979 through March 2020 was decommissioned on June 30, 2020 and removed from the GES DISC system. However, the replacement for GLDAS-001 monthly and 3-hourly 1.0 x 1.0 degree products from CLM Land Surface Model currently are not available yet. Once their replacement data products become available, the DOIs of GLDAS-001 CLM data products will direct to the GLDAS-2.1 CLM data products. This data set contains a series of land surface parameters simulated from the Common Land Model (CLM) V2.0 model in the Global Land Data Assimilation System (GLDAS). The data are in 1.0 degree resolution and range from January 1979 to present. The temporal resolution is 3-hourly. This simulation was forced by a combination of NOAA/GDAS atmospheric analysis fields, spatially and temporally disaggregated NOAA Climate Prediction Center Merged Analysis of Precipitation (CMAP) fields, and observation based downward shortwave and longwave radiation fields derived using the method of the Air Force Weather Agency's AGRicultural METeorological modeling system (AGRMET). The simulation was initialized on 1 January 1979 using soil moisture and other state fields from a GLDAS/CLM model climatology for that day of the year. WGRIB or another GRIB reader is required to read the files. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. For more information, please see the README document. proprietary
@@ -6612,8 +6676,8 @@ HAQ_TROPOMI_NO2_CONUS_M_L3_2.4 HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2)
HAQ_TROPOMI_NO2_CONUS_S_L3_2.4 HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) CONUS Seasonal Level 3 0.01 x 0.01 Degree Gridded Data V2.4 (HAQ_TROPOMI_NO2_CONUS_S_L3) at GES DISC GES_DISC STAC Catalog 2018-06-01 -124.75, 24.5, -66.76, 49.49 https://cmr.earthdata.nasa.gov/search/concepts/C2839237223-GES_DISC.umm_json This product provides level 3 seasonal averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the Continental United States oversampled to a spatial resolution of 0.01˚ x 0.01˚ (~1 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in June-August 2018 and continues to the present. This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time. NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations. proprietary
HAQ_TROPOMI_NO2_GLOBAL_A_L3_2.4 HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) GLOBAL Annual Level 3 0.1 x 0.1 Degree Gridded Data Version 2.4 (HAQ_TROPOMI_NO2_GLOBAL_A_L3) at GES DISC GES_DISC STAC Catalog 2019-01-01 -179.5, -60, 179.5, 75 https://cmr.earthdata.nasa.gov/search/concepts/C3087325001-GES_DISC.umm_json This product provides level 3 annual averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the globe oversampled to a spatial resolution of 0.1˚ x 0.1˚ (~10 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in January 2019 and continues to the present. This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time. NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations. proprietary
HAQ_TROPOMI_NO2_GLOBAL_M_L3_2.4 HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) GLOBAL Monthly Level 3 0.1 x 0.1 Degree Gridded Data Version 2.4 (HAQ_TROPOMI_NO2_GLOBAL_M_L3) at GES DISC GES_DISC STAC Catalog 2019-01-01 -179.5, -60, 179.5, 75 https://cmr.earthdata.nasa.gov/search/concepts/C3087325222-GES_DISC.umm_json This product provides level 3 monthly averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the globe oversampled to a spatial resolution of 0.1˚ x 0.1˚ (~10 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in January 2019 and continues to the present. This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time. NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations. proprietary
-HAWKEYE_L1_1 SeaHawk-1 HawkEye Level-1A Data, version 1 OB_CLOUD STAC Catalog 2018-12-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3160685741-OB_CLOUD.umm_json The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON). proprietary
HAWKEYE_L1_1 SeaHawk HawkEye Level-1 Data, version 1 OB_DAAC STAC Catalog 2018-12-03 -180, 90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2124738110-OB_DAAC.umm_json The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON). proprietary
+HAWKEYE_L1_1 SeaHawk-1 HawkEye Level-1A Data, version 1 OB_CLOUD STAC Catalog 2018-12-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3160685741-OB_CLOUD.umm_json The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON). proprietary
HAWKEYE_L2_OC_2018.0 SeaHawk HawkEye Regional Ocean Color (OC) Data, version 2018.0 OB_DAAC STAC Catalog 2021-04-16 -180, 90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2124738174-OB_DAAC.umm_json The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON). proprietary
HAWKEYE_L2_OC_2022.0 SeaHawk-1 HawkEye Level-2 Regional Ocean Color (OC) Data, version 2022.0 OB_CLOUD STAC Catalog 2019-03-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3160685780-OB_CLOUD.umm_json The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON). proprietary
HCDN_810_1 Monthly Climate Data for Selected USGS HCDN Sites, 1951-1990, R1 ORNL_CLOUD STAC Catalog 1951-01-01 1990-12-31 -125.15, 24.16, -66.74, 49.39 https://cmr.earthdata.nasa.gov/search/concepts/C2756285170-ORNL_CLOUD.umm_json Time series of monthly minimum and maximum temperature, precipitation, and potential evapotranspiration were derived for 1,469 watersheds in the conterminous United States for which stream flow measurements were also available from the national streamflow database, termed the Hydro-Climatic Data Network (HCDN), developed by Slack et al. (1993a,b). Monthly climate estimates were derived for the years 1951-1990.The climate characteristic estimates of temperature and precipitation were estimated using the PRISM (Daly et al. 1994, 1997) climate analysis system as described in Vogel, et al. 1999.Estimates of monthly potential evaporation were obtained using a method introduced by Hargreaves and Samani (1982) which is based on monthly time series of average minimum and maximum temperature data along with extraterrestrial solar radiation. Extraterrestrial solar radiation was estimated for each basin by computing the solar radiation over 0.1 degree grids using the method introduced by Duffie and Beckman (1980) and then summing those estimates for each river basin. This process is described in Sankarasubramanian, et al. (2001). Revision Notes: This data set has been revised to update the number of watersheds included in the data set and to updated the units for the potential evapotranspiration variable. Please see the Data Set Revisions section of this document for detailed information. proprietary
@@ -9242,110 +9306,110 @@ Long_Fjord_Depth_Measurements_2007_1 Bathymetry/depth measurements made at Long
M1_AVH02C1_6 METOP-B AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG LAADS STAC Catalog 2013-01-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2751091676-LAADS.umm_json The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg CMG, short-name M1_AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The M1_AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time). proprietary
M1_AVH09C1_6 METOP-B AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg CMG LAADS STAC Catalog 2013-01-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2187507677-LAADS.umm_json The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg CMG, short-name M1_ AVH09C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The M1_ AVH09C1 consist of BRDF-corrected surface reflectance for bands 1, 2, and 3, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), and thermal data (thermal bands 3, 4, and 5). The AVH09C1 product is available in HDF4 file format. proprietary
M1_AVH13C1_6 METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG LAADS STAC Catalog 2013-01-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2751635237-LAADS.umm_json The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index (NDVI) Daily L3 Global 0.05 Deg CMG, short-name M1_AVH13C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (M1_AVH01C1). The M1_AVH13C1 product is available in HDF4 file format. proprietary
-M2C0NXASM_5.12.4 MERRA-2 const_2d_asm_Nx: 2d, constants 0.625 x 0.5 degree V5.12.4 (M2C0NXASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812819-GES_DISC.umm_json "M2C0NXASM (or const_2d_asm_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant model parameters, such as the fraction of lake, land, and ocean within a model grid cell. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2C0NXCTM_5.12.4 MERRA-2 const_2d_ctm_Nx: Constant Model Parameters for Usage by CTM 0.625 x 0.5 degree V5.12.4 (M2C0NXCTM) at GES DISC GES_DISC STAC Catalog 1980-01-01 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1278787764-GES_DISC.umm_json "M2C0NXCTM (or const_2d_ctm_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant model parameters for usage by the chemistry transport model (CTM), such as the fraction of lake, land, ice, or ocean within a model grid cell. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2C0NXLND_5.12.4 MERRA-2 const_2d_lnd_Nx: 2d, constants Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2C0NXLND) at GES DISC GES_DISC STAC Catalog 1980-01-01 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1278787757-GES_DISC.umm_json "M2C0NXLND (or const_2d_lnd_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant land surface parameters, such as thickness of the predefined soil layers, soil porosity, and soil wilting point. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I1NXASM_5.12.4 MERRA-2 inst1_2d_asm_Nx: 2d,1-Hourly,Instantaneous,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2I1NXASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812820-GES_DISC.umm_json "M2I1NXASM (or inst1_2d_asm_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, … , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I1NXINT_5.12.4 MERRA-2 inst1_2d_int_Nx: 2d,1-Hourly,Instantaneous,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2I1NXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812821-GES_DISC.umm_json "M2I1NXINT (or inst1_2d_int_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, … , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I1NXLFO_5.12.4 MERRA-2 inst1_2d_lfo_Nx: 2d,1-Hourly,Instantaneous,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2I1NXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812822-GES_DISC.umm_json "M2I1NXLFO (or inst1_2d_lfo_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, … , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I3NPASM_5.12.4 MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2I3NPASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812879-GES_DISC.umm_json "M2I3NPASM (or inst3_3d_asm_Np) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 42 pressure levels, such as temperature, wind components, vertical pressure velocity, water vapor, ozone mass mixing ratio, and layer height. The data field is available every three hours starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I3NVAER_5.12.4 MERRA-2 inst3_3d_aer_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio 0.625 x 0.5 degree V5.12.4 (M2I3NVAER) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812882-GES_DISC.umm_json "M2I3NVAER (or inst3_3d_aer_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of aerosol mixing ratio parameters at 72 model layers, such as dust, sulphur dioxide, sea salt, black carbon, and organic carbon. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I3NVASM_5.12.4 MERRA-2 inst3_3d_asm_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2I3NVASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812900-GES_DISC.umm_json "M2I3NVASM (or inst3_3d_asm_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 72 model layers, such as temperature, wind components, vertical pressure velocity, water vapor, and layer height. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I3NVCHM_5.12.4 MERRA-2 inst3_3d_chm_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Carbon Monoxide and Ozone Mixing Ratio 0.625 x 0.5 degree V5.12.4 (M2I3NVCHM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812901-GES_DISC.umm_json "M2I3NVCHM (or inst3_3d_chm_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of carbon monoxide and ozone mixing ratio at 72 model layers. The data is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I3NVGAS_5.12.4 MERRA-2 inst3_3d_gas_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio Analysis Increments 0.625 x 0.5 degree V5.12.4 (M2I3NVGAS) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812883-GES_DISC.umm_json "M2I3NVGAS (or inst3_3d_gas_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of aerosol mixing ratio analysis increments at 72 model layers, such as mixing ratio analysis increments of black carbon, dust, organic carbon, sea salt, and sulfate. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I3NXGAS_5.12.4 MERRA-2 inst3_2d_gas_Nx: 2d,3-Hourly,Instantaneous,Single-Level,Assimilation,Aerosol Optical Depth Analysis 0.625 x 0.5 degree V5.12.4 (M2I3NXGAS) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812759-GES_DISC.umm_json "M2I3NXGAS (or inst3_3d_gas_Nx) is an instantaneous 2-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I6NPANA_5.12.4 MERRA-2 inst6_3d_ana_Np: 3d,6-Hourly,Instantaneous,Pressure-Level,Analysis,Analyzed Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2I6NPANA) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812884-GES_DISC.umm_json "M2I6NPANA (or inst6_3d_ana_Np) is an instantaneous 3-dimensional 6-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analyzed meteorological fields at 42 pressure levels, such as temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height. The data field is available every six hour starting from 00:00 UTC, e.g.: 00:00, 06:00, … , 18:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2I6NVANA_5.12.4 MERRA-2 inst6_3d_ana_Nv: 3d,6-Hourly,Instantaneous,Model-Level,Analysis,Analyzed Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2I6NVANA) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812885-GES_DISC.umm_json "M2I6NVANA (or inst6_3d_ana_Nv) is an instantaneous 3-dimensional 6-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analized meteorological fields at 72 model layers, such as temperature, wind components,specific humidity, and layer pressure thickness. The data field is available every six hour starting from 00:00 UTC, e.g.: 00:00, 06:00, … , 18:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IMNPANA_5.12.4 MERRA-2 instM_3d_ana_Np: 3d,Monthly mean,Instantaneous,Pressure-Level,Analysis,Analyzed Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2IMNPANA) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812902-GES_DISC.umm_json "M2IMNPANA (or instM_3d_ana_Np) is an instantaneous 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analyzed meteorological fields at 42 pressure levels, such as temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes certain quadratic information (such as the variance and covariance of certain parameters). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IMNPASM_5.12.4 MERRA-2 instM_3d_asm_Np: 3d,Monthly mean,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2IMNPASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812904-GES_DISC.umm_json "M2IMNPASM (or instM_3d_asm_Np) is an instantaneous 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 42 pressure levels, such as temperature, wind components, vertical pressure velocity, water vapor, ozone mass mixing ratio, and layer height. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes certain quadratic information (such as the variance and covariance of certain parameters). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IMNXASM_5.12.4 MERRA-2 instM_2d_asm_Nx: 2d,Monthly mean,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2IMNXASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812823-GES_DISC.umm_json "M2IMNXASM (or instM_2d_asm_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IMNXGAS_5.12.4 MERRA-2 instM_2d_gas_Nx: 2d,Monthly mean,Instantaneous,Single-Level,Assimilation,Aerosol Optical Depth Analysis 0.625 x 0.5 degree V5.12.4 (M2IMNXGAS) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812824-GES_DISC.umm_json "M2IMNXGAS (or instM_3d_gas_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. The collection also includes the variance of parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IMNXINT_5.12.4 MERRA-2 instM_2d_int_Nx: 2d,Monthly mean,Instantaneous,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2IMNXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812825-GES_DISC.umm_json "M2IMNXINT (or instM_2d_int_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). The collection also includes variance of certain variables. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IMNXLFO_5.12.4 MERRA-2 instM_2d_lfo_Nx: 2d,Monthly mean,Instantaneous,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2IMNXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812840-GES_DISC.umm_json "M2IMNXLFO (or instM_2d_lfo_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IUNPANA_5.12.4 MERRA-2 instU_3d_ana_Np: 3d,diurnal,Instantaneous,Pressure-Level,Analysis,Analyzed Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2IUNPANA) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812907-GES_DISC.umm_json "M2IUNPANA (or instU_3d_ana_Np) is an instantaneous 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analyzed meteorological fields at 42 pressure levels, such as temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height. It is the monthly mean of data fields every six hour starting from 00:00 UTC, e.g.: 00:00, 06:00, … , 18:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IUNPASM_5.12.4 MERRA-2 instU_3d_asm_Np: 3d,diurnal,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2IUNPASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812888-GES_DISC.umm_json "M2IUNPASM (or instU_3d_asm_Np) is an instantaneous 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 42 pressure levels, such as temperature, wind components, vertical pressure velocity, water vapor, ozone mass mixing ratio, and layer height. The data collection is the monthly mean of data fields every three hours starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IUNXASM_5.12.4 MERRA-2 instU_2d_asm_Nx: 2d,diurnal,Instantaneous,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2IUNXASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812841-GES_DISC.umm_json "M2IUNXASM (or instU_2d_asm_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The data consists of the monthly mean of the data field at each hour of a day, e.g., 00:00, 01:00, …, 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IUNXGAS_5.12.4 MERRA-2 instU_2d_gas_Nx: 2d,diurnal,Instantaneous,Single-Level,Assimilation,Aerosol Optical Depth Analysis 0.625 x 0.5 degree V5.12.4 (M2IUNXGAS) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812826-GES_DISC.umm_json "M2IUNXGAS (or instU_3d_gas_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. It consists of the monthly mean of the data fields every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IUNXINT_5.12.4 MERRA-2 instU_2d_int_Nx: 2d,diurnal,Instantaneous,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2IUNXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812827-GES_DISC.umm_json "M2IUNXINT (or instU_2d_int_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). It consists of the monthly mean of the data fields on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, … , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2IUNXLFO_5.12.4 MERRA-2 instU_2d_lfo_Nx: 2d,diurnal,Instantaneous,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2IUNXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812842-GES_DISC.umm_json "M2IUNXLFO (or instU_2d_lfo_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. It consists of the monthly mean of the data fields on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, … , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2SDNXSLV_5.12.4 MERRA-2 statD_2d_slv_Nx: 2d,Daily,Aggregated Statistics,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2SDNXSLV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812843-GES_DISC.umm_json "M2SDNXSLV (or statD_2d_slv_Nx) is a 2-dimensional daily data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of daily statistics, such as daily mean (or daily minimum and maximum) air temperature at 2-meter, and maximum precipitation rate during the period. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2SMNXEDI_1 MERRA-2 statM_2d_edi_Nx: 2d, Single-Level, Monthly Extremes Detection Indices V1 (M2SMNXEDI) at GES DISC GES_DISC STAC Catalog 1980-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1949649168-GES_DISC.umm_json "M2SMNXEDI (or statM_2d_edi_Nx) is a 2-dimensional monthly data collection for extreme detection indices derived from daily Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets within each month. V1, the original version of this extreme detection indices data collection, is computed based on the 1981-2010 climatology, covering the period from January 1980 to December 2022. In contrast, V2, the second version, is calculated based on a 30-year climatology (1991-2020), covering the period from January 1980 to the present. This collection consists of indices used to identify or characterize extreme weather events associated with temperature, such as heatwaves and cold spells (e.g., their frequency, duration, and intensity), as well as events associated with precipitation, such as dry days and wet days (e.g., their frequency, duration, and intensity). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)" proprietary
-M2SMNXEDI_2 MERRA-2 statM_2d_edi_Nx: 2d, Single-Level, Monthly Extremes Detection Indices based on 1991-2020 V2 (M2SMNXEDI) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2531963170-GES_DISC.umm_json "M2SMNXEDI (or statM_2d_edi_Nx) is a 2-dimensional monthly data collection for extreme detection indices derived from daily Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets within each month. V2 of this extreme detection indices data collection is computed based on the 1991-2020 climatology, covering the time period from January 1980 to present. In contrast, V1, the original version, is computed based on an earlier 30-year climatology (1981-2010). This collection consists of indices used to identify or characterize extreme weather events associated with temperature, such as heatwaves and cold spells (e.g., their frequency, duration, and intensity), as well as events associated with precipitation, such as dry days and wet days (e.g., their frequency, duration, and intensity). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)" proprietary
-M2SMNXPCT_1 MERRA-2 statM_2d_pct_Nx: 2d, Single-Level, Monthly Percentiles V1 (M2SMNXPCT) at GES DISC GES_DISC STAC Catalog 1980-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1949649171-GES_DISC.umm_json "M2SMNXPCT (or statM_2d_pct_Nx) is a 2-dimensional monthly data collection for percentile statistics derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V1, the original version of this percentile data collection, is computed based on the 1981-2010 climatology, covering the period from January 1980 to December 2022. In contrast, V2, the second version, is calculated based on a 30-year climatology (1991-2020), covering the period from January 1980 to the present. This collection consists of percentiles used to identify or characterize extreme weather events associated with temperature (maximum, mean, and minimum 2-m air temperature), as well as with precipitation (total precipitation). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)" proprietary
-M2SMNXPCT_2 MERRA-2 statM_2d_pct_Nx: 2d, Single-Level, Monthly Percentiles based on 1991-2020 V2 (M2SMNXPCT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2531963252-GES_DISC.umm_json "M2SMNXPCT (or statM_2d_pct_Nx) is a 2-dimensional monthly data collection for percentile statistics derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this percentile data collection is computed based on the 1991-2020 climatology, covering the time period from January 1980 to present. In contrast, V1, the original version, is computed based on an earlier 30-year climatology (1981-2010). This collection consists of percentiles used to identify or characterize extreme weather events associated with temperature (maximum, mean, and minimum 2-m air temperature), as well as with precipitation (total precipitation). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)" proprietary
-M2SMNXSLV_5.12.4 MERRA-2 statM_2d_slv_Nx: 2d,Monthly,Aggregated Statistics,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2SMNXSLV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812828-GES_DISC.umm_json "M2SMNXSLV (or statM_2d_slv_Nx) is a 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of monthly mean of daily statistics, such as daily mean (or daily minimum and maximum) air temperature at 2-meter, and maximum precipitation rate during the period. The collection also includes the variance of parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXADG_5.12.4 MERRA-2 tavg1_2d_adg_Nx: 2d,1-Hourly,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics (extended) 0.625 x 0.5 degree V5.12.4 (M2T1NXADG) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812829-GES_DISC.umm_json "M2T1NXADG (or tavg1_2d_adg_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics (extended), such as dry and wet deposition of each aerosol component, dust emission and sedimentation for each sized bin, and organic carbon convective scavenging. The data fields are time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXAER_5.12.4 MERRA-2 tavg1_2d_aer_Nx: 2d,1-Hourly,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXAER) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812830-GES_DISC.umm_json "M2T1NXAER (or tavg1_2d_aer_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea salt, sulfate, and organic carbon), surface mass concentration of aerosol components, and total extinction (and scattering ) aerosol optical thickness (AOT) at 550 nm. The total PM1.0, PM2.5, and PM10 may be derived with the formula described in the FAQs under the Documentation tab of this page. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXCHM_5.12.4 MERRA-2 tavg1_2d_chm_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Carbon Monoxide and Ozone Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXCHM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812831-GES_DISC.umm_json "M2T1NXCHM (or tavg1_2d_chm_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXCSP_5.12.4 MERRA-2 tavg1_2d_csp_Nx: 2d,1-Hourly,Time-averaged,Single-Level,Assimilation,COSP Satellite Simulator 0.625 x 0.5 degree V5.12.4 (M2T1NXCSP) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812834-GES_DISC.umm_json "M2T1NXCSP (or tavg1_2d_csp_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of parameters from CFMIP Observations Simulator Package(COSP), such as ISCCP total cloud area fraction, MODIS cloud fraction water (ice) mean, MODIS cloud fraction low (mid,high) mean, modis cloud particle size water (ice) mean. CFMIP is the abbreviation of Cloud Feedback Model Intercomparison Project. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXFLX_5.12.4 MERRA-2 tavg1_2d_flx_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXFLX) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812838-GES_DISC.umm_json "M2T1NXFLX (or tavg1_2d_flx_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, and evaporation from turbulence. The “surface” in this data collection is the model surface layer. The heights of the model surface layer (HLML) vary with time and location, with the value of ~60 meter above ground. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXINT_5.12.4 MERRA-2 tavg1_2d_int_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812846-GES_DISC.umm_json "M2T1NXINT (or tavg1_2d_int_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically Integrated diagnostics of water and energy, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXLFO_5.12.4 MERRA-2 tavg1_2d_lfo_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2T1NXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812850-GES_DISC.umm_json "M2T1NXLFO (or tavg1_2d_lfo_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as bias corrected precipitation, shortwave and longwave radiation at surface. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXLND_5.12.4 MERRA-2 tavg1_2d_lnd_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXLND) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812861-GES_DISC.umm_json "M2T1NXLND (or tavg1_2d_lnd_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXOCN_5.12.4 MERRA-2 tavg1_2d_ocn_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Ocean Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXOCN) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812862-GES_DISC.umm_json "M2T1NXOCN (or tavg1_2d_ocn_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXRAD_5.12.4 MERRA-2 tavg1_2d_rad_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812851-GES_DISC.umm_json "M2T1NXRAD (or tavg1_2d_rad_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T1NXSLV_5.12.4 MERRA-2 tavg1_2d_slv_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXSLV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812863-GES_DISC.umm_json "M2T1NXSLV (or tavg1_2d_slv_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850 hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NEMST_5.12.4 MERRA-2 tavg3_3d_mst_Ne: 3d,3-Hourly,Time-Averaged,Model-Level Edge,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NEMST) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812912-GES_DISC.umm_json "M2T3NEMST (or tavg3_3d_mst_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moisture processes diagnostics at the 73 model layer edges. The parameters include cumulative mass flux, 3D flux of liquid (or ice) convective (or nonconvective) precipitation, and model layer edge pressure. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NENAV_5.12.4 MERRA-2 tavg3_3d_nav_Ne: 3d,3-Hourly,Time-Averaged, Vertical Coordinates 0.625 x 0.5 degree V5.12.4 (M2T3NENAV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812686-GES_DISC.umm_json "M2T3NENAV (or tavg3_3d_nav_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertical coordinates of the 73 model layer edges. The parameters include edge pressure and edge heights. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NETRB_5.12.4 MERRA-2 tavg3_3d_trb_Ne: 3d,3-Hourly,Time-Averaged,Model-Level Edge,Assimilation,Turbulence Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NETRB) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812890-GES_DISC.umm_json "M2T3NETRB (or tavg3_3d_trb_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated turbulence diagnostics at the 73 model layer edges. The parameters include total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, Richardson number from Louis, and more. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NPCLD_5.12.4 MERRA-2 tavg3_3d_cld_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Cloud Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NPCLD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812893-GES_DISC.umm_json "M2T3NPCLD (or tavg3_3d_cld_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics on the 42 pressure levels, such as updraft areal fraction, cloud fraction for radiation , in-cloud cloud liquid (or ice) for radiation, and mass fraction of cloud liquid (or ice) water. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NPMST_5.12.4 MERRA-2 tavg3_3d_mst_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NPMST) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812688-GES_DISC.umm_json "M2T3NPMST (or tavg3_3d_mst_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist processes diagnostics on the 42 pressure levels, such as convective rainwater source, 3D flux of ice convective (or nonconvective) precipitation, and 3D flux of liquid convective (or nonconvective) precipitation. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NPODT_5.12.4 MERRA-2 tavg3_3d_odt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Ozone Tendencies 0.625 x 0.5 degree V5.12.4 (M2T3NPODT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812689-GES_DISC.umm_json "M2T3NPODT (or tavg3_3d_odt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of ozone tendencies on the 42 pressure levels, such as total ozone analysis tendency, tendency of odd oxygen mixing ratio due to chemistry, tendency of odd oxygen due to moist processes, and tendency of ozone due to dynamics. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NPQDT_5.12.4 MERRA-2 tavg3_3d_qdt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Moist Tendencies 0.625 x 0.5 degree V5.12.4 (M2T3NPQDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812924-GES_DISC.umm_json "M2T3NPQDT (or tavg3_3d_qdt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist tendencies on the 42 pressure levels, such as tendency of ice (or liquid) water due to dynamics, total ice (or liquid) water tendency due to moist, total specific humidity analysis tendency, and specific humidity tendency due to moist. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NPRAD_5.12.4 MERRA-2 tavg3_3d_rad_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NPRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812899-GES_DISC.umm_json "M2T3NPRAD (or tavg3_3d_rad_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of radiation diagnostics on 42 pressure levels, such as cloud fraction for radiation, and air temperature tendency due to longwave (or shortwave). The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NPTDT_5.12.4 MERRA-2 tavg3_3d_tdt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Temperature Tendencies 0.625 x 0.5 degree V5.12.4 (M2T3NPTDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812940-GES_DISC.umm_json "M2T3NPTDT (or tavg3_3d_tdt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of air temperature tendencies on 42 pressure levels, such as total temperature analysis tendency, and tendency of air temperature due to dynamics (or friction, moisture, radiation, and physics). The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NPTRB_5.12.4 MERRA-2 tavg3_3d_trb_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Turbulence Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NPTRB) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812691-GES_DISC.umm_json "M2T3NPTRB (or tavg3_3d_trb_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of turbulence diagnostics on 42 pressure levels, such as total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, and Richardson number from Louis. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NPUDT_5.12.4 MERRA-2 tavg3_3d_udt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Wind Tendencies 0.625 x 0.5 degree V5.12.4 (M2T3NPUDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812941-GES_DISC.umm_json "M2T3NPUDT (or tavg3_3d_udt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of wind tendencies on 42 pressure levels, such as total eastward (or northward) wind analysis tendency, tendency of eastward (or northward) wind due to dynamics, and tendency of eastward (or northward) wind due to turbulence. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NVASM_5.12.4 MERRA-2 tavg3_3d_asm_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2T3NVASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812925-GES_DISC.umm_json "M2T3NVASM (or tavg3_3d_asm_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 72 model layers, such as air temperature, wind components, vertical pressure velocity, water vapor, and layer height. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NVCLD_5.12.4 MERRA-2 tavg3_3d_cld_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Cloud Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NVCLD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812926-GES_DISC.umm_json "M2T3NVCLD (or tavg3_3d_cld_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics at 72 model layers, such as cloud fraction for radiation, pressure thickness, in cloud cloud ice (or liquid) for radiation, and relative humidity. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NVMST_5.12.4 MERRA-2 tavg3_3d_mst_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NVMST) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812927-GES_DISC.umm_json "M2T3NVMST (or tavg3_3d_mst_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated moist processes diagnostics at 72 model layers, such as convective rainwater source, large scale rainwater source, evap subl of convective precipitation, and evap subl of non convective precipitation. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NVRAD_5.12.4 MERRA-2 tavg3_3d_rad_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NVRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812928-GES_DISC.umm_json "M2T3NVRAD (or tavg3_3d_rad_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated radiation diagnostics at 72 model layers, such as air temperature tendency due to longwave and air temperature tendency due to shortwave. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2T3NXGLC_5.12.4 MERRA-2 tavg3_2d_glc_Nx: 2d,3-Hourly,Time-Averaged,Single-Level,Assimilation,Land Ice Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NXGLC) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812864-GES_DISC.umm_json "M2T3NXGLC (or tavg3_2d_glc_Nx) is a 2-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TCNPLTM_1 MERRA-2 tavgC_3d_ltm_Np: 3d, Long Term Mean 3-Dimensional Meteorological Fields V1 (M2TCNPLTM) at GES DISC GES_DISC STAC Catalog 1981-01-01 2010-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1949650985-GES_DISC.umm_json "M2TCNPLTM (or tavgC_3d_ltm_Np) is a 3-dimensional monthly data collection for climatological long term mean and standard deviation representing the interannual variability on a monthly timescale, derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this data collection is calculated with data from January 1991 to December 2020. In contrast, V1, the original version, is computed with data from an earlier 30-year time of 1981-2010. This collection consists of meteorological diagnostics at 12 vertical pressure levels (e.g.,850 hPa, 500hPa, and 200 hPa), such as air temperature, wind components, and both relative and specific humidity. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)" proprietary
-M2TCNPLTM_2 MERRA-2 tavgC_3d_ltm_Np: 3d, Long Term Mean 3-Dimensional Meteorological Fields based on 1991-2020 V2 (M2TCNPLTM) at GES DISC GES_DISC STAC Catalog 1991-01-01 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2531964023-GES_DISC.umm_json "M2TCNPLTM (or tavgC_3d_ltm_Np) is a 3-dimensional monthly data collection for climatological long term mean and standard deviation representing the interannual variability on a monthly timescale, derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this data collection is calculated with data from January 1991 to December 2020. In contrast, V1, the original version, is computed with data from an earlier 30-year time of 1981-2010. This collection consists of meteorological diagnostics at 12 vertical pressure levels (e.g.,850 hPa, 500hPa, and 200 hPa), such as air temperature, wind components, and both relative and specific humidity. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)" proprietary
-M2TCNXLTM_1 MERRA-2 tavgC_2d_ltm_Nx: 2d, Single-Level, Long Term Mean Diagnostics V1 (M2TCNXLTM) at GES DISC GES_DISC STAC Catalog 1981-01-01 2010-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1949650995-GES_DISC.umm_json "M2TCNXLTM (or tavgC_2d_ltm_Nx) is a 2-dimensional monthly data collection for climatological long term mean and standard deviation representing the interannual variability on a monthly timescale, derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this data collection is calculated with data from January 1991 to December 2020. In contrast, V1, the original version, is computed with data from an earlier 30-year time of 1981-2010. This collection consists of meteorological diagnostics, such as air temperature (maximum, mean, and minimum at 2-meter), wind components at different vertical levels (2-meter, 10-meter, 50-meter, 850 hPa, 500hPa, and 250 hPa), sea level pressure, surface pressure, and total precipitation, evaporation, and total precipitable water vapor. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)" proprietary
-M2TCNXLTM_2 MERRA-2 tavgC_2d_ltm_Nx: 2d, Single-Level, Long Term Mean Diagnostics based on 1991-2020 V2 (M2TCNXLTM) at GES DISC GES_DISC STAC Catalog 1991-01-01 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2531963528-GES_DISC.umm_json "M2TCNXLTM (or tavgC_2d_ltm_Nx) is a 2-dimensional monthly data collection for climatological long term mean and standard deviation representing the interannual variability on a monthly timescale, derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this data collection is calculated with data from January 1991 to December 2020. In contrast, V1, the original version, is computed with data from an earlier 30-year time of 1981-2010. This collection consists of meteorological diagnostics, such as air temperature (maximum, mean, and minimum at 2-meter), wind components at different vertical levels (2-meter, 10-meter, 50-meter, 850 hPa, 500hPa, and 250 hPa), sea level pressure, surface pressure, and total precipitation, evaporation, and total precipitable water vapor. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)" proprietary
-M2TMNPCLD_5.12.4 MERRA-2 tavgM_3d_cld_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Cloud Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNPCLD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812942-GES_DISC.umm_json "M2TMNPCLD (or tavgM_3d_cld_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics on 42 the pressure levels, such as updraft areal fraction, cloud fraction for radiation, in-cloud cloud liquid (or ice) for radiation, and mass fraction of cloud liquid (or ice) water. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNPMST_5.12.4 MERRA-2 tavgM_3d_mst_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNPMST) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812692-GES_DISC.umm_json "M2TMNPMST (or tavgM_3d_mst_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist processes diagnostics on the 42 pressure levels, such as convective rainwater source, 3D flux of ice convective (or nonconvective) precipitation, and 3D flux of liquid convective (or nonconvective) precipitation. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNPODT_5.12.4 MERRA-2 tavgM_3d_odt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Ozone Tendencies 0.625 x 0.5 degree V5.12.4 (M2TMNPODT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812929-GES_DISC.umm_json "M2TMNPODT (or tavgM_3d_odt_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of ozone tendencies on the 42 pressure levels, such as total ozone analysis tendency, tendency of odd oxygen mixing ratio due to chemistry, tendency of odd oxygen due to moist processes, and tendency of ozone due to dynamics. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNPQDT_5.12.4 MERRA-2 tavgM_3d_qdt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Moist Tendencies 0.625 x 0.5 degree V5.12.4 (M2TMNPQDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812930-GES_DISC.umm_json "M2TMNPQDT (or tavgM_3d_qdt_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist tendencies on the 42 pressure levels, such as tendency of ice (or liquid) water due to dynamics, total ice (or liquid) water tendency due to moist, total specific humidity analysis tendency, and specific humidity tendency due to moist. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNPRAD_5.12.4 MERRA-2 tavgM_3d_rad_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNPRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812931-GES_DISC.umm_json "M2TMNPRAD (or tavgM_3d_rad_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of radiation diagnostics on 42 pressure levels, such as cloud fraction for radiation, and air temperature tendency due to longwave (or shortwave). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNPTDT_5.12.4 MERRA-2 tavgM_3d_tdt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Temperature Tendencies 0.625 x 0.5 degree V5.12.4 (M2TMNPTDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812693-GES_DISC.umm_json "M2TMNPTDT (or tavgM_3d_tdt_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of air temperature tendencies on 42 pressure levels, such as total temperature analysis tendency, and tendency of air temperature due to dynamics (or friction, moisture, radiation, and physics). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNPTRB_5.12.4 MERRA-2 tavgM_3d_trb_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Turbulence Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNPTRB) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812943-GES_DISC.umm_json "M2TMNPTRB (or tavgM_3d_trb_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of turbulence diagnostics on 42 pressure levels, such as total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, and Richardson number from Louis. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNPUDT_5.12.4 MERRA-2 tavgM_3d_udt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Wind Tendencies 0.625 x 0.5 degree V5.12.4 (M2TMNPUDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812944-GES_DISC.umm_json "M2TMNPUDT (or tavgM_3d_udt_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of wind tendencies on 42 pressure levels, such as total eastward (or northward) wind analysis tendency, tendency of eastward (or northward) wind due to dynamics, and tendency of eastward (or northward) wind due to turbulence. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXADG_5.12.4 MERRA-2 tavgM_2d_adg_Nx: 2d,Monthly mean,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics (extended) 0.625 x 0.5 degree V5.12.4 (M2TMNXADG) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812865-GES_DISC.umm_json "M2TMNXADG (or tavgM_2d_adg_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics (extended), such as dry and wet deposition of each aerosol component, dust emission and sedimentation for each sized bin, and organic carbon convective scavenging. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXAER_5.12.4 MERRA-2 tavgM_2d_aer_Nx: 2d,Monthly mean,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXAER) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812866-GES_DISC.umm_json "M2TMNXAER (or tavgM_2d_aer_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea salt, sulfate, and organic carbon), surface mass concentration of aerosol components, and total extinction (and scattering ) aerosol optical thickness (AOT) at 550 nm. The total PM1.0, PM2.5, and PM10 may be derived with the formula described in the FAQs under the Documentation tab of this page. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXCHM_5.12.4 MERRA-2 tavgM_2d_chm_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Carbon Monoxide and Ozone Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXCHM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812852-GES_DISC.umm_json "M2TMNXCHM (or tavgM_2d_chm_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXCSP_5.12.4 MERRA-2 tavgM_2d_csp_Nx: 2d,Monthly mean,Time-averaged,Single-Level,Assimilation,COSP Satellite Simulator 0.625 x 0.5 degree V5.12.4 (M2TMNXCSP) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812867-GES_DISC.umm_json "M2TMNXCSP (or tavgM_2d_csp_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of parameters from CFMIP Observations Simulator Package(COSP), such as ISCCP total cloud area fraction, MODIS cloud fraction water (ice) mean, MODIS cloud fraction low (mid,high) mean, modis cloud particle size water (ice) mean. CFMIP is the abbreviation of Cloud Feedback Model Intercomparison Project. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXFLX_5.12.4 MERRA-2 tavgM_2d_flx_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXFLX) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812868-GES_DISC.umm_json "M2TMNXFLX (or tavgM_2d_flx_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, and evaporation from turbulence. The “surface” in this data collection is the model surface layer. The heights of the model surface layer (HLML) vary with time and location, with the value of ~60 meter above ground. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXGLC_5.12.4 MERRA-2 tavgM_2d_glc_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Land Ice Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXGLC) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812853-GES_DISC.umm_json "M2TMNXGLC (or tavgM_2d_glc_Nx) is a 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXINT_5.12.4 MERRA-2 tavgM_2d_int_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812854-GES_DISC.umm_json "M2TMNXINT (or tavgM_2d_int_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of water and energy related vertically Integrated diagnostics, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXLFO_5.12.4 MERRA-2 tavgM_2d_lfo_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2TMNXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812855-GES_DISC.umm_json "M2TMNXLFO (or tavgM_2d_lfo_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as bias corrected precipitation, shortwave and longwave radiation at surface. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXLND_5.12.4 MERRA-2 tavgM_2d_lnd_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXLND) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812856-GES_DISC.umm_json "M2TMNXLND (or tavgM_2d_lnd_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXOCN_5.12.4 MERRA-2 tavgM_2d_ocn_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Ocean Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXOCN) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812857-GES_DISC.umm_json "M2TMNXOCN (or tavgM_2d_ocn_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXRAD_5.12.4 MERRA-2 tavgM_2d_rad_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812858-GES_DISC.umm_json "M2TMNXRAD (or tavgM_2d_rad_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TMNXSLV_5.12.4 MERRA-2 tavgM_2d_slv_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXSLV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812859-GES_DISC.umm_json "M2TMNXSLV (or tavgM_2d_slv_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNPCLD_5.12.4 MERRA-2 tavgU_3d_cld_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Cloud Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNPCLD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812932-GES_DISC.umm_json "M2TUNPCLD (or tavgU_3d_cld_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics on 42 the pressure levels, such as updraft areal fraction, cloud fraction for radiation, in-cloud cloud liquid (or ice) for radiation, and mass fraction of cloud liquid (or ice) water. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNPMST_5.12.4 MERRA-2 tavgU_3d_mst_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNPMST) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812933-GES_DISC.umm_json "M2TUNPMST (or tavgU_3d_mst_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist processes diagnostics on the 42 pressure levels, such as convective rainwater source, 3D flux of ice convective (or nonconvective) precipitation, and 3D flux of liquid convective (or nonconvective) precipitation. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNPODT_5.12.4 MERRA-2 tavgU_3d_odt_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Ozone Tendencies 0.625 x 0.5 degree V5.12.4 (M2TUNPODT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812694-GES_DISC.umm_json "M2TUNPODT (or tavgU_3d_odt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of ozone tendencies on the 42 pressure levels, such as total ozone analysis tendency, tendency of odd oxygen mixing ratio due to chemistry, tendency of odd oxygen due to moist processes, and tendency of ozone due to dynamics. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNPQDT_5.12.4 MERRA-2 tavgU_3d_qdt_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Moist Tendencies 0.625 x 0.5 degree V5.12.4 (M2TUNPQDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812945-GES_DISC.umm_json "M2TUNPQDT (or tavgU_3d_qdt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist tendencies on the 42 pressure levels, such as tendency of ice (or liquid) water due to dynamics, total ice (or liquid) water tendency due to moist, total specific humidity analysis tendency, and specific humidity tendency due to moist. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNPRAD_5.12.4 MERRA-2 tavgU_3d_rad_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNPRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812946-GES_DISC.umm_json "M2TUNPRAD (or tavgU_3d_rad_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of radiation diagnostics on 42 pressure levels, such as cloud fraction for radiation, and air temperature tendency due to longwave (or shortwave). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour that is time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNPTDT_5.12.4 MERRA-2 tavgU_3d_tdt_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Temperature Tendencies 0.625 x 0.5 degree V5.12.4 (M2TUNPTDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812695-GES_DISC.umm_json "M2TUNPTDT (or tavgU_3d_tdt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of air temperature tendencies on 42 pressure levels, such as total temperature analysis tendency, and tendency of air temperature due to dynamics (or friction, moisture, radiation, and physics). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNPTRB_5.12.4 MERRA-2 tavgU_3d_trb_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Turbulence Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNPTRB) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812934-GES_DISC.umm_json "M2TUNPTRB (or tavgU_3d_trb_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of turbulence diagnostics on 42 pressure levels, such as total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, and Richardson number from Louis. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNPUDT_5.12.4 MERRA-2 tavgU_3d_udt_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Wind Tendencies 0.625 x 0.5 degree V5.12.4 (M2TUNPUDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812935-GES_DISC.umm_json "M2TUNPUDT (or tavgU_3d_udt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of wind tendencies on 42 pressure levels, such as total eastward (or northward) wind analysis tendency, tendency of eastward (or northward) wind due to dynamics, and tendency of eastward (or northward) wind due to turbulence. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXADG_5.12.4 MERRA-2 tavgU_2d_adg_Nx: 2d,diurnal,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics (extended) 0.625 x 0.5 degree V5.12.4 (M2TUNXADG) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812880-GES_DISC.umm_json "M2TUNXADG (or tavgU_2d_adg_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics (extended), such as dry and wet deposition of each aerosol component, dust emission and sedimentation for each sized bin, and organic carbon convective scavenging. This data collection is the monthly mean of data fields for each hour and is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXAER_5.12.4 MERRA-2 tavgU_2d_aer_Nx: 2d,diurnal,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXAER) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812869-GES_DISC.umm_json "M2TUNXAER (or tavgU_2d_aer_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea salt, sulfate, and organic carbon), surface mass concentration of aerosol components, and total extinction (and scattering ) aerosol optical thickness (AOT) at 550 nm. The total PM1.0, PM2.5, and PM10 may be derived with the formula described in the FAQs under the Documentation tab of this page. This data collection is the monthly mean of data fields for each hour and is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXCHM_5.12.4 MERRA-2 tavgU_2d_chm_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Carbon Monoxide and Ozone Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXCHM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812870-GES_DISC.umm_json "M2TUNXCHM (or tavgU_2d_chm_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXCSP_5.12.4 MERRA-2 tavgU_2d_csp_Nx: 2d,diurnal,Time-averaged,Single-Level,Assimilation,COSP Satellite Simulator 0.625 x 0.5 degree V5.12.4 (M2TUNXCSP) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812871-GES_DISC.umm_json "M2TUNXCSP (or tavgU_2d_csp_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of parameters from CFMIP Observations Simulator Package(COSP), such as ISCCP total cloud area fraction, MODIS cloud fraction water (ice) mean, MODIS cloud fraction low (mid,high) mean, modis cloud particle size water (ice) mean. CFMIP is the abbreviation of Cloud Feedback Model Intercomparison Project. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXFLX_5.12.4 MERRA-2 tavgU_2d_flx_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXFLX) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812872-GES_DISC.umm_json "M2TUNXFLX (or tavgU_2d_flx_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, and evaporation from turbulence. The “surface” in this data collection is the model surface layer. The heights of the model surface layer (HLML) vary with time and location, with the value of ~60 meter above ground. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXGLC_5.12.4 MERRA-2 tavgU_2d_glc_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Land Ice Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXGLC) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812873-GES_DISC.umm_json "M2TUNXGLC (or tavgU_2d_glc_Nx) is a 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXINT_5.12.4 MERRA-2 tavgU_2d_int_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812874-GES_DISC.umm_json "M2TUNXINT (or tavgU_2d_int_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of water and energy related vertically Integrated diagnostics, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXLFO_5.12.4 MERRA-2 tavgU_2d_lfo_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2TUNXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812875-GES_DISC.umm_json "M2TUNXLFO (or tavgU_2d_lfo_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as bias corrected precipitation, shortwave and longwave radiation at surface. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXLND_5.12.4 MERRA-2 tavgU_2d_lnd_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXLND) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812876-GES_DISC.umm_json "M2TUNXLND (or tavgU_2d_lnd_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXOCN_5.12.4 MERRA-2 tavgU_2d_ocn_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Ocean Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXOCN) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812877-GES_DISC.umm_json "M2TUNXOCN (or tavgU_2d_ocn_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXRAD_5.12.4 MERRA-2 tavgU_2d_rad_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812881-GES_DISC.umm_json "M2TUNXRAD (or tavgU_2d_rad_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2TUNXSLV_5.12.4 MERRA-2 tavgU_2d_slv_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXSLV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812878-GES_DISC.umm_json "M2TUNXSLV (or tavgU_2d_slv_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850 hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may email the question on data access to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), or the question on science to the MERRA-2 science team (merra-questions@lists.nasa.gov)." proprietary
-M2_TMAX_PM25_1 MERRA-2 avgM_2d_pm25_admin0, 2d, Single-Level, Country-Level Surface PM2.5 Monthly Mean Products V1 (M2_TMAX_PM25) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2184005745-GES_DISC.umm_json M2_TMAX_PM25 is a value-added product derived from the MERRA-2 aerosol monthly product M2TMNXAER_5.12.4 (or tavgM_2d_aer_Nx). The surface concentration of fine particulate matter (PM2.5) is calculated as the sum of individual aerosol components (organic carbon, black carbon, sulfate, sea salt, and dust) (Buchard et al., 2017) and is recast from the native MERRA-2 model grid. This data collection includes separate files for country-level (and territories) PM2.5 concentrations with and without population weighting applied. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question on data access, email to the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov), and the question on science, email to the MERRA-2 science team (merra-questions@lists.nasa.gov). proprietary
+M2C0NXASM_5.12.4 MERRA-2 const_2d_asm_Nx: 2d, constants 0.625 x 0.5 degree V5.12.4 (M2C0NXASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812819-GES_DISC.umm_json "M2C0NXASM (or const_2d_asm_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant model parameters, such as the fraction of lake, land, and ocean within a model grid cell. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2C0NXCTM_5.12.4 MERRA-2 const_2d_ctm_Nx: Constant Model Parameters for Usage by CTM 0.625 x 0.5 degree V5.12.4 (M2C0NXCTM) at GES DISC GES_DISC STAC Catalog 1980-01-01 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1278787764-GES_DISC.umm_json "M2C0NXCTM (or const_2d_ctm_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant model parameters for usage by the chemistry transport model (CTM), such as the fraction of lake, land, ice, or ocean within a model grid cell. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2C0NXLND_5.12.4 MERRA-2 const_2d_lnd_Nx: 2d, constants Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2C0NXLND) at GES DISC GES_DISC STAC Catalog 1980-01-01 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1278787757-GES_DISC.umm_json "M2C0NXLND (or const_2d_lnd_Nx) is a data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of 2-dimensional constant land surface parameters, such as thickness of the predefined soil layers, soil porosity, and soil wilting point. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I1NXASM_5.12.4 MERRA-2 inst1_2d_asm_Nx: 2d,1-Hourly,Instantaneous,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2I1NXASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812820-GES_DISC.umm_json "M2I1NXASM (or inst1_2d_asm_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, … , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I1NXINT_5.12.4 MERRA-2 inst1_2d_int_Nx: 2d,1-Hourly,Instantaneous,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2I1NXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812821-GES_DISC.umm_json "M2I1NXINT (or inst1_2d_int_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, … , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I1NXLFO_5.12.4 MERRA-2 inst1_2d_lfo_Nx: 2d,1-Hourly,Instantaneous,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2I1NXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812822-GES_DISC.umm_json "M2I1NXLFO (or inst1_2d_lfo_Nx) is an instantaneous 2-dimensional hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. The timestamp of a data field is on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, … , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I3NPASM_5.12.4 MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2I3NPASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812879-GES_DISC.umm_json "M2I3NPASM (or inst3_3d_asm_Np) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 42 pressure levels, such as temperature, wind components, vertical pressure velocity, water vapor, ozone mass mixing ratio, and layer height. The data field is available every three hours starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I3NVAER_5.12.4 MERRA-2 inst3_3d_aer_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio 0.625 x 0.5 degree V5.12.4 (M2I3NVAER) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812882-GES_DISC.umm_json "M2I3NVAER (or inst3_3d_aer_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of aerosol mixing ratio parameters at 72 model layers, such as dust, sulphur dioxide, sea salt, black carbon, and organic carbon. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I3NVASM_5.12.4 MERRA-2 inst3_3d_asm_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2I3NVASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812900-GES_DISC.umm_json "M2I3NVASM (or inst3_3d_asm_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 72 model layers, such as temperature, wind components, vertical pressure velocity, water vapor, and layer height. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I3NVCHM_5.12.4 MERRA-2 inst3_3d_chm_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Carbon Monoxide and Ozone Mixing Ratio 0.625 x 0.5 degree V5.12.4 (M2I3NVCHM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812901-GES_DISC.umm_json "M2I3NVCHM (or inst3_3d_chm_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of carbon monoxide and ozone mixing ratio at 72 model layers. The data is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I3NVGAS_5.12.4 MERRA-2 inst3_3d_gas_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio Analysis Increments 0.625 x 0.5 degree V5.12.4 (M2I3NVGAS) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812883-GES_DISC.umm_json "M2I3NVGAS (or inst3_3d_gas_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of aerosol mixing ratio analysis increments at 72 model layers, such as mixing ratio analysis increments of black carbon, dust, organic carbon, sea salt, and sulfate. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I3NXGAS_5.12.4 MERRA-2 inst3_2d_gas_Nx: 2d,3-Hourly,Instantaneous,Single-Level,Assimilation,Aerosol Optical Depth Analysis 0.625 x 0.5 degree V5.12.4 (M2I3NXGAS) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812759-GES_DISC.umm_json "M2I3NXGAS (or inst3_3d_gas_Nx) is an instantaneous 2-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I6NPANA_5.12.4 MERRA-2 inst6_3d_ana_Np: 3d,6-Hourly,Instantaneous,Pressure-Level,Analysis,Analyzed Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2I6NPANA) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812884-GES_DISC.umm_json "M2I6NPANA (or inst6_3d_ana_Np) is an instantaneous 3-dimensional 6-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analyzed meteorological fields at 42 pressure levels, such as temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height. The data field is available every six hour starting from 00:00 UTC, e.g.: 00:00, 06:00, … , 18:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2I6NVANA_5.12.4 MERRA-2 inst6_3d_ana_Nv: 3d,6-Hourly,Instantaneous,Model-Level,Analysis,Analyzed Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2I6NVANA) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812885-GES_DISC.umm_json "M2I6NVANA (or inst6_3d_ana_Nv) is an instantaneous 3-dimensional 6-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analized meteorological fields at 72 model layers, such as temperature, wind components,specific humidity, and layer pressure thickness. The data field is available every six hour starting from 00:00 UTC, e.g.: 00:00, 06:00, … , 18:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IMNPANA_5.12.4 MERRA-2 instM_3d_ana_Np: 3d,Monthly mean,Instantaneous,Pressure-Level,Analysis,Analyzed Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2IMNPANA) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812902-GES_DISC.umm_json "M2IMNPANA (or instM_3d_ana_Np) is an instantaneous 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analyzed meteorological fields at 42 pressure levels, such as temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes certain quadratic information (such as the variance and covariance of certain parameters). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IMNPASM_5.12.4 MERRA-2 instM_3d_asm_Np: 3d,Monthly mean,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2IMNPASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812904-GES_DISC.umm_json "M2IMNPASM (or instM_3d_asm_Np) is an instantaneous 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 42 pressure levels, such as temperature, wind components, vertical pressure velocity, water vapor, ozone mass mixing ratio, and layer height. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes certain quadratic information (such as the variance and covariance of certain parameters). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IMNXASM_5.12.4 MERRA-2 instM_2d_asm_Nx: 2d,Monthly mean,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2IMNXASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812823-GES_DISC.umm_json "M2IMNXASM (or instM_2d_asm_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IMNXGAS_5.12.4 MERRA-2 instM_2d_gas_Nx: 2d,Monthly mean,Instantaneous,Single-Level,Assimilation,Aerosol Optical Depth Analysis 0.625 x 0.5 degree V5.12.4 (M2IMNXGAS) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812824-GES_DISC.umm_json "M2IMNXGAS (or instM_3d_gas_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. The collection also includes the variance of parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IMNXINT_5.12.4 MERRA-2 instM_2d_int_Nx: 2d,Monthly mean,Instantaneous,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2IMNXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812825-GES_DISC.umm_json "M2IMNXINT (or instM_2d_int_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). The collection also includes variance of certain variables. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IMNXLFO_5.12.4 MERRA-2 instM_2d_lfo_Nx: 2d,Monthly mean,Instantaneous,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2IMNXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812840-GES_DISC.umm_json "M2IMNXLFO (or instM_2d_lfo_Nx) is an instantaneous 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IUNPANA_5.12.4 MERRA-2 instU_3d_ana_Np: 3d,diurnal,Instantaneous,Pressure-Level,Analysis,Analyzed Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2IUNPANA) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812907-GES_DISC.umm_json "M2IUNPANA (or instU_3d_ana_Np) is an instantaneous 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of analyzed meteorological fields at 42 pressure levels, such as temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height. It is the monthly mean of data fields every six hour starting from 00:00 UTC, e.g.: 00:00, 06:00, … , 18:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IUNPASM_5.12.4 MERRA-2 instU_3d_asm_Np: 3d,diurnal,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2IUNPASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812888-GES_DISC.umm_json "M2IUNPASM (or instU_3d_asm_Np) is an instantaneous 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 42 pressure levels, such as temperature, wind components, vertical pressure velocity, water vapor, ozone mass mixing ratio, and layer height. The data collection is the monthly mean of data fields every three hours starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IUNXASM_5.12.4 MERRA-2 instU_2d_asm_Nx: 2d,diurnal,Instantaneous,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2IUNXASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812841-GES_DISC.umm_json "M2IUNXASM (or instU_2d_asm_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological diagnostic parameters at the single levels, such as temperature at 2-meter and 10-meter; wind components at 2-meter, 10-meter, and 50-meter; surface pressure, and total precipitable water. The data consists of the monthly mean of the data field at each hour of a day, e.g., 00:00, 01:00, …, 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IUNXGAS_5.12.4 MERRA-2 instU_2d_gas_Nx: 2d,diurnal,Instantaneous,Single-Level,Assimilation,Aerosol Optical Depth Analysis 0.625 x 0.5 degree V5.12.4 (M2IUNXGAS) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812826-GES_DISC.umm_json "M2IUNXGAS (or instU_3d_gas_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilation of aerosol optical depth analysis and aerosol optical depth analysis increment. It consists of the monthly mean of the data fields every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IUNXINT_5.12.4 MERRA-2 instU_2d_int_Nx: 2d,diurnal,Instantaneous,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2IUNXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812827-GES_DISC.umm_json "M2IUNXINT (or instU_2d_int_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically integrated diagnostics, such as kinetic energy, virtual potential temperature, and total precipitable water (or ice, liquid, and vapor). It consists of the monthly mean of the data fields on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, … , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2IUNXLFO_5.12.4 MERRA-2 instU_2d_lfo_Nx: 2d,diurnal,Instantaneous,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2IUNXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812842-GES_DISC.umm_json "M2IUNXLFO (or instU_2d_lfo_Nx) is an instantaneous 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as height, specific humidity, wind, and air temperature of the model surface layer. It consists of the monthly mean of the data fields on each hour starting from 00:00 UTC, e.g.: 00:00, 01:00, … , 23:00 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2SDNXSLV_5.12.4 MERRA-2 statD_2d_slv_Nx: 2d,Daily,Aggregated Statistics,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2SDNXSLV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812843-GES_DISC.umm_json "M2SDNXSLV (or statD_2d_slv_Nx) is a 2-dimensional daily data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of daily statistics, such as daily mean (or daily minimum and maximum) air temperature at 2-meter, and maximum precipitation rate during the period. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2SMNXEDI_1 MERRA-2 statM_2d_edi_Nx: 2d, Single-Level, Monthly Extremes Detection Indices V1 (M2SMNXEDI) at GES DISC GES_DISC STAC Catalog 1980-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1949649168-GES_DISC.umm_json "M2SMNXEDI (or statM_2d_edi_Nx) is a 2-dimensional monthly data collection for extreme detection indices derived from daily Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets within each month. V1, the original version of this extreme detection indices data collection, is computed based on the 1981-2010 climatology, covering the period from January 1980 to December 2022. In contrast, V2, the second version, is calculated based on a 30-year climatology (1991-2020), covering the period from January 1980 to the present. This collection consists of indices used to identify or characterize extreme weather events associated with temperature, such as heatwaves and cold spells (e.g., their frequency, duration, and intensity), as well as events associated with precipitation, such as dry days and wet days (e.g., their frequency, duration, and intensity). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2SMNXEDI_2 MERRA-2 statM_2d_edi_Nx: 2d, Single-Level, Monthly Extremes Detection Indices based on 1991-2020 V2 (M2SMNXEDI) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2531963170-GES_DISC.umm_json "M2SMNXEDI (or statM_2d_edi_Nx) is a 2-dimensional monthly data collection for extreme detection indices derived from daily Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets within each month. V2 of this extreme detection indices data collection is computed based on the 1991-2020 climatology, covering the time period from January 1980 to present. In contrast, V1, the original version, is computed based on an earlier 30-year climatology (1981-2010). This collection consists of indices used to identify or characterize extreme weather events associated with temperature, such as heatwaves and cold spells (e.g., their frequency, duration, and intensity), as well as events associated with precipitation, such as dry days and wet days (e.g., their frequency, duration, and intensity). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2SMNXPCT_1 MERRA-2 statM_2d_pct_Nx: 2d, Single-Level, Monthly Percentiles V1 (M2SMNXPCT) at GES DISC GES_DISC STAC Catalog 1980-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1949649171-GES_DISC.umm_json "M2SMNXPCT (or statM_2d_pct_Nx) is a 2-dimensional monthly data collection for percentile statistics derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V1, the original version of this percentile data collection, is computed based on the 1981-2010 climatology, covering the period from January 1980 to December 2022. In contrast, V2, the second version, is calculated based on a 30-year climatology (1991-2020), covering the period from January 1980 to the present. This collection consists of percentiles used to identify or characterize extreme weather events associated with temperature (maximum, mean, and minimum 2-m air temperature), as well as with precipitation (total precipitation). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2SMNXPCT_2 MERRA-2 statM_2d_pct_Nx: 2d, Single-Level, Monthly Percentiles based on 1991-2020 V2 (M2SMNXPCT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2531963252-GES_DISC.umm_json "M2SMNXPCT (or statM_2d_pct_Nx) is a 2-dimensional monthly data collection for percentile statistics derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this percentile data collection is computed based on the 1991-2020 climatology, covering the time period from January 1980 to present. In contrast, V1, the original version, is computed based on an earlier 30-year climatology (1981-2010). This collection consists of percentiles used to identify or characterize extreme weather events associated with temperature (maximum, mean, and minimum 2-m air temperature), as well as with precipitation (total precipitation). MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2SMNXSLV_5.12.4 MERRA-2 statM_2d_slv_Nx: 2d,Monthly,Aggregated Statistics,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2SMNXSLV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812828-GES_DISC.umm_json "M2SMNXSLV (or statM_2d_slv_Nx) is a 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of monthly mean of daily statistics, such as daily mean (or daily minimum and maximum) air temperature at 2-meter, and maximum precipitation rate during the period. The collection also includes the variance of parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXADG_5.12.4 MERRA-2 tavg1_2d_adg_Nx: 2d,1-Hourly,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics (extended) 0.625 x 0.5 degree V5.12.4 (M2T1NXADG) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812829-GES_DISC.umm_json "M2T1NXADG (or tavg1_2d_adg_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics (extended), such as dry and wet deposition of each aerosol component, dust emission and sedimentation for each sized bin, and organic carbon convective scavenging. The data fields are time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXAER_5.12.4 MERRA-2 tavg1_2d_aer_Nx: 2d,1-Hourly,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXAER) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812830-GES_DISC.umm_json "M2T1NXAER (or tavg1_2d_aer_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea salt, sulfate, and organic carbon), surface mass concentration of aerosol components, and total extinction (and scattering ) aerosol optical thickness (AOT) at 550 nm. The total PM1.0, PM2.5, and PM10 may be derived with the formula described in the FAQs under the Documentation tab of this page. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXCHM_5.12.4 MERRA-2 tavg1_2d_chm_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Carbon Monoxide and Ozone Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXCHM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812831-GES_DISC.umm_json "M2T1NXCHM (or tavg1_2d_chm_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXCSP_5.12.4 MERRA-2 tavg1_2d_csp_Nx: 2d,1-Hourly,Time-averaged,Single-Level,Assimilation,COSP Satellite Simulator 0.625 x 0.5 degree V5.12.4 (M2T1NXCSP) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812834-GES_DISC.umm_json "M2T1NXCSP (or tavg1_2d_csp_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of parameters from CFMIP Observations Simulator Package(COSP), such as ISCCP total cloud area fraction, MODIS cloud fraction water (ice) mean, MODIS cloud fraction low (mid,high) mean, modis cloud particle size water (ice) mean. CFMIP is the abbreviation of Cloud Feedback Model Intercomparison Project. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXFLX_5.12.4 MERRA-2 tavg1_2d_flx_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXFLX) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812838-GES_DISC.umm_json "M2T1NXFLX (or tavg1_2d_flx_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, and evaporation from turbulence. The “surface” in this data collection is the model surface layer. The heights of the model surface layer (HLML) vary with time and location, with the value of ~60 meter above ground. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXINT_5.12.4 MERRA-2 tavg1_2d_int_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812846-GES_DISC.umm_json "M2T1NXINT (or tavg1_2d_int_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertically Integrated diagnostics of water and energy, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXLFO_5.12.4 MERRA-2 tavg1_2d_lfo_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2T1NXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812850-GES_DISC.umm_json "M2T1NXLFO (or tavg1_2d_lfo_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as bias corrected precipitation, shortwave and longwave radiation at surface. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXLND_5.12.4 MERRA-2 tavg1_2d_lnd_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXLND) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812861-GES_DISC.umm_json "M2T1NXLND (or tavg1_2d_lnd_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXOCN_5.12.4 MERRA-2 tavg1_2d_ocn_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Ocean Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXOCN) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812862-GES_DISC.umm_json "M2T1NXOCN (or tavg1_2d_ocn_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXRAD_5.12.4 MERRA-2 tavg1_2d_rad_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812851-GES_DISC.umm_json "M2T1NXRAD (or tavg1_2d_rad_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T1NXSLV_5.12.4 MERRA-2 tavg1_2d_slv_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXSLV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812863-GES_DISC.umm_json "M2T1NXSLV (or tavg1_2d_slv_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850 hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). The data field is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NEMST_5.12.4 MERRA-2 tavg3_3d_mst_Ne: 3d,3-Hourly,Time-Averaged,Model-Level Edge,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NEMST) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812912-GES_DISC.umm_json "M2T3NEMST (or tavg3_3d_mst_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moisture processes diagnostics at the 73 model layer edges. The parameters include cumulative mass flux, 3D flux of liquid (or ice) convective (or nonconvective) precipitation, and model layer edge pressure. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NENAV_5.12.4 MERRA-2 tavg3_3d_nav_Ne: 3d,3-Hourly,Time-Averaged, Vertical Coordinates 0.625 x 0.5 degree V5.12.4 (M2T3NENAV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812686-GES_DISC.umm_json "M2T3NENAV (or tavg3_3d_nav_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of vertical coordinates of the 73 model layer edges. The parameters include edge pressure and edge heights. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NETRB_5.12.4 MERRA-2 tavg3_3d_trb_Ne: 3d,3-Hourly,Time-Averaged,Model-Level Edge,Assimilation,Turbulence Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NETRB) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812890-GES_DISC.umm_json "M2T3NETRB (or tavg3_3d_trb_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated turbulence diagnostics at the 73 model layer edges. The parameters include total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, Richardson number from Louis, and more. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NPCLD_5.12.4 MERRA-2 tavg3_3d_cld_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Cloud Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NPCLD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812893-GES_DISC.umm_json "M2T3NPCLD (or tavg3_3d_cld_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics on the 42 pressure levels, such as updraft areal fraction, cloud fraction for radiation , in-cloud cloud liquid (or ice) for radiation, and mass fraction of cloud liquid (or ice) water. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NPMST_5.12.4 MERRA-2 tavg3_3d_mst_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NPMST) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812688-GES_DISC.umm_json "M2T3NPMST (or tavg3_3d_mst_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist processes diagnostics on the 42 pressure levels, such as convective rainwater source, 3D flux of ice convective (or nonconvective) precipitation, and 3D flux of liquid convective (or nonconvective) precipitation. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NPODT_5.12.4 MERRA-2 tavg3_3d_odt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Ozone Tendencies 0.625 x 0.5 degree V5.12.4 (M2T3NPODT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812689-GES_DISC.umm_json "M2T3NPODT (or tavg3_3d_odt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of ozone tendencies on the 42 pressure levels, such as total ozone analysis tendency, tendency of odd oxygen mixing ratio due to chemistry, tendency of odd oxygen due to moist processes, and tendency of ozone due to dynamics. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NPQDT_5.12.4 MERRA-2 tavg3_3d_qdt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Moist Tendencies 0.625 x 0.5 degree V5.12.4 (M2T3NPQDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812924-GES_DISC.umm_json "M2T3NPQDT (or tavg3_3d_qdt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist tendencies on the 42 pressure levels, such as tendency of ice (or liquid) water due to dynamics, total ice (or liquid) water tendency due to moist, total specific humidity analysis tendency, and specific humidity tendency due to moist. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NPRAD_5.12.4 MERRA-2 tavg3_3d_rad_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NPRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812899-GES_DISC.umm_json "M2T3NPRAD (or tavg3_3d_rad_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of radiation diagnostics on 42 pressure levels, such as cloud fraction for radiation, and air temperature tendency due to longwave (or shortwave). The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NPTDT_5.12.4 MERRA-2 tavg3_3d_tdt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Temperature Tendencies 0.625 x 0.5 degree V5.12.4 (M2T3NPTDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812940-GES_DISC.umm_json "M2T3NPTDT (or tavg3_3d_tdt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of air temperature tendencies on 42 pressure levels, such as total temperature analysis tendency, and tendency of air temperature due to dynamics (or friction, moisture, radiation, and physics). The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NPTRB_5.12.4 MERRA-2 tavg3_3d_trb_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Turbulence Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NPTRB) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812691-GES_DISC.umm_json "M2T3NPTRB (or tavg3_3d_trb_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of turbulence diagnostics on 42 pressure levels, such as total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, and Richardson number from Louis. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NPUDT_5.12.4 MERRA-2 tavg3_3d_udt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Wind Tendencies 0.625 x 0.5 degree V5.12.4 (M2T3NPUDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812941-GES_DISC.umm_json "M2T3NPUDT (or tavg3_3d_udt_Np) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of wind tendencies on 42 pressure levels, such as total eastward (or northward) wind analysis tendency, tendency of eastward (or northward) wind due to dynamics, and tendency of eastward (or northward) wind due to turbulence. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NVASM_5.12.4 MERRA-2 tavg3_3d_asm_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree V5.12.4 (M2T3NVASM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812925-GES_DISC.umm_json "M2T3NVASM (or tavg3_3d_asm_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of meteorological parameters at 72 model layers, such as air temperature, wind components, vertical pressure velocity, water vapor, and layer height. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NVCLD_5.12.4 MERRA-2 tavg3_3d_cld_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Cloud Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NVCLD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812926-GES_DISC.umm_json "M2T3NVCLD (or tavg3_3d_cld_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics at 72 model layers, such as cloud fraction for radiation, pressure thickness, in cloud cloud ice (or liquid) for radiation, and relative humidity. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NVMST_5.12.4 MERRA-2 tavg3_3d_mst_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NVMST) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812927-GES_DISC.umm_json "M2T3NVMST (or tavg3_3d_mst_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated moist processes diagnostics at 72 model layers, such as convective rainwater source, large scale rainwater source, evap subl of convective precipitation, and evap subl of non convective precipitation. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NVRAD_5.12.4 MERRA-2 tavg3_3d_rad_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NVRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812928-GES_DISC.umm_json "M2T3NVRAD (or tavg3_3d_rad_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated radiation diagnostics at 72 model layers, such as air temperature tendency due to longwave and air temperature tendency due to shortwave. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2T3NXGLC_5.12.4 MERRA-2 tavg3_2d_glc_Nx: 2d,3-Hourly,Time-Averaged,Single-Level,Assimilation,Land Ice Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NXGLC) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812864-GES_DISC.umm_json "M2T3NXGLC (or tavg3_2d_glc_Nx) is a 2-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TCNPLTM_1 MERRA-2 tavgC_3d_ltm_Np: 3d, Long Term Mean 3-Dimensional Meteorological Fields V1 (M2TCNPLTM) at GES DISC GES_DISC STAC Catalog 1981-01-01 2010-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1949650985-GES_DISC.umm_json "M2TCNPLTM (or tavgC_3d_ltm_Np) is a 3-dimensional monthly data collection for climatological long term mean and standard deviation representing the interannual variability on a monthly timescale, derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this data collection is calculated with data from January 1991 to December 2020. In contrast, V1, the original version, is computed with data from an earlier 30-year time of 1981-2010. This collection consists of meteorological diagnostics at 12 vertical pressure levels (e.g.,850 hPa, 500hPa, and 200 hPa), such as air temperature, wind components, and both relative and specific humidity. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TCNPLTM_2 MERRA-2 tavgC_3d_ltm_Np: 3d, Long Term Mean 3-Dimensional Meteorological Fields based on 1991-2020 V2 (M2TCNPLTM) at GES DISC GES_DISC STAC Catalog 1991-01-01 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2531964023-GES_DISC.umm_json "M2TCNPLTM (or tavgC_3d_ltm_Np) is a 3-dimensional monthly data collection for climatological long term mean and standard deviation representing the interannual variability on a monthly timescale, derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this data collection is calculated with data from January 1991 to December 2020. In contrast, V1, the original version, is computed with data from an earlier 30-year time of 1981-2010. This collection consists of meteorological diagnostics at 12 vertical pressure levels (e.g.,850 hPa, 500hPa, and 200 hPa), such as air temperature, wind components, and both relative and specific humidity. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TCNXLTM_1 MERRA-2 tavgC_2d_ltm_Nx: 2d, Single-Level, Long Term Mean Diagnostics V1 (M2TCNXLTM) at GES DISC GES_DISC STAC Catalog 1981-01-01 2010-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1949650995-GES_DISC.umm_json "M2TCNXLTM (or tavgC_2d_ltm_Nx) is a 2-dimensional monthly data collection for climatological long term mean and standard deviation representing the interannual variability on a monthly timescale, derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this data collection is calculated with data from January 1991 to December 2020. In contrast, V1, the original version, is computed with data from an earlier 30-year time of 1981-2010. This collection consists of meteorological diagnostics, such as air temperature (maximum, mean, and minimum at 2-meter), wind components at different vertical levels (2-meter, 10-meter, 50-meter, 850 hPa, 500hPa, and 250 hPa), sea level pressure, surface pressure, and total precipitation, evaporation, and total precipitable water vapor. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TCNXLTM_2 MERRA-2 tavgC_2d_ltm_Nx: 2d, Single-Level, Long Term Mean Diagnostics based on 1991-2020 V2 (M2TCNXLTM) at GES DISC GES_DISC STAC Catalog 1991-01-01 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2531963528-GES_DISC.umm_json "M2TCNXLTM (or tavgC_2d_ltm_Nx) is a 2-dimensional monthly data collection for climatological long term mean and standard deviation representing the interannual variability on a monthly timescale, derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) datasets. V2 of this data collection is calculated with data from January 1991 to December 2020. In contrast, V1, the original version, is computed with data from an earlier 30-year time of 1981-2010. This collection consists of meteorological diagnostics, such as air temperature (maximum, mean, and minimum at 2-meter), wind components at different vertical levels (2-meter, 10-meter, 50-meter, 850 hPa, 500hPa, and 250 hPa), sea level pressure, surface pressure, and total precipitation, evaporation, and total precipitable water vapor. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present, with a latency of ~3 weeks after the end of the previous month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes”, linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original filename. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changes to tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read the ""MERRA-2 File Specification Document'', “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page for more information. If these documents do not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNPCLD_5.12.4 MERRA-2 tavgM_3d_cld_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Cloud Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNPCLD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812942-GES_DISC.umm_json "M2TMNPCLD (or tavgM_3d_cld_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics on 42 the pressure levels, such as updraft areal fraction, cloud fraction for radiation, in-cloud cloud liquid (or ice) for radiation, and mass fraction of cloud liquid (or ice) water. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNPMST_5.12.4 MERRA-2 tavgM_3d_mst_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNPMST) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812692-GES_DISC.umm_json "M2TMNPMST (or tavgM_3d_mst_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist processes diagnostics on the 42 pressure levels, such as convective rainwater source, 3D flux of ice convective (or nonconvective) precipitation, and 3D flux of liquid convective (or nonconvective) precipitation. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNPODT_5.12.4 MERRA-2 tavgM_3d_odt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Ozone Tendencies 0.625 x 0.5 degree V5.12.4 (M2TMNPODT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812929-GES_DISC.umm_json "M2TMNPODT (or tavgM_3d_odt_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of ozone tendencies on the 42 pressure levels, such as total ozone analysis tendency, tendency of odd oxygen mixing ratio due to chemistry, tendency of odd oxygen due to moist processes, and tendency of ozone due to dynamics. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNPQDT_5.12.4 MERRA-2 tavgM_3d_qdt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Moist Tendencies 0.625 x 0.5 degree V5.12.4 (M2TMNPQDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812930-GES_DISC.umm_json "M2TMNPQDT (or tavgM_3d_qdt_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist tendencies on the 42 pressure levels, such as tendency of ice (or liquid) water due to dynamics, total ice (or liquid) water tendency due to moist, total specific humidity analysis tendency, and specific humidity tendency due to moist. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNPRAD_5.12.4 MERRA-2 tavgM_3d_rad_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNPRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812931-GES_DISC.umm_json "M2TMNPRAD (or tavgM_3d_rad_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of radiation diagnostics on 42 pressure levels, such as cloud fraction for radiation, and air temperature tendency due to longwave (or shortwave). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNPTDT_5.12.4 MERRA-2 tavgM_3d_tdt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Temperature Tendencies 0.625 x 0.5 degree V5.12.4 (M2TMNPTDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812693-GES_DISC.umm_json "M2TMNPTDT (or tavgM_3d_tdt_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of air temperature tendencies on 42 pressure levels, such as total temperature analysis tendency, and tendency of air temperature due to dynamics (or friction, moisture, radiation, and physics). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNPTRB_5.12.4 MERRA-2 tavgM_3d_trb_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Turbulence Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNPTRB) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812943-GES_DISC.umm_json "M2TMNPTRB (or tavgM_3d_trb_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of turbulence diagnostics on 42 pressure levels, such as total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, and Richardson number from Louis. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNPUDT_5.12.4 MERRA-2 tavgM_3d_udt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Wind Tendencies 0.625 x 0.5 degree V5.12.4 (M2TMNPUDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812944-GES_DISC.umm_json "M2TMNPUDT (or tavgM_3d_udt_Np) is a 3-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of wind tendencies on 42 pressure levels, such as total eastward (or northward) wind analysis tendency, tendency of eastward (or northward) wind due to dynamics, and tendency of eastward (or northward) wind due to turbulence. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXADG_5.12.4 MERRA-2 tavgM_2d_adg_Nx: 2d,Monthly mean,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics (extended) 0.625 x 0.5 degree V5.12.4 (M2TMNXADG) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812865-GES_DISC.umm_json "M2TMNXADG (or tavgM_2d_adg_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics (extended), such as dry and wet deposition of each aerosol component, dust emission and sedimentation for each sized bin, and organic carbon convective scavenging. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXAER_5.12.4 MERRA-2 tavgM_2d_aer_Nx: 2d,Monthly mean,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXAER) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812866-GES_DISC.umm_json "M2TMNXAER (or tavgM_2d_aer_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea salt, sulfate, and organic carbon), surface mass concentration of aerosol components, and total extinction (and scattering ) aerosol optical thickness (AOT) at 550 nm. The total PM1.0, PM2.5, and PM10 may be derived with the formula described in the FAQs under the Documentation tab of this page. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXCHM_5.12.4 MERRA-2 tavgM_2d_chm_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Carbon Monoxide and Ozone Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXCHM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812852-GES_DISC.umm_json "M2TMNXCHM (or tavgM_2d_chm_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXCSP_5.12.4 MERRA-2 tavgM_2d_csp_Nx: 2d,Monthly mean,Time-averaged,Single-Level,Assimilation,COSP Satellite Simulator 0.625 x 0.5 degree V5.12.4 (M2TMNXCSP) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812867-GES_DISC.umm_json "M2TMNXCSP (or tavgM_2d_csp_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of parameters from CFMIP Observations Simulator Package(COSP), such as ISCCP total cloud area fraction, MODIS cloud fraction water (ice) mean, MODIS cloud fraction low (mid,high) mean, modis cloud particle size water (ice) mean. CFMIP is the abbreviation of Cloud Feedback Model Intercomparison Project. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXFLX_5.12.4 MERRA-2 tavgM_2d_flx_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXFLX) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812868-GES_DISC.umm_json "M2TMNXFLX (or tavgM_2d_flx_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, and evaporation from turbulence. The “surface” in this data collection is the model surface layer. The heights of the model surface layer (HLML) vary with time and location, with the value of ~60 meter above ground. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXGLC_5.12.4 MERRA-2 tavgM_2d_glc_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Land Ice Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXGLC) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812853-GES_DISC.umm_json "M2TMNXGLC (or tavgM_2d_glc_Nx) is a 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXINT_5.12.4 MERRA-2 tavgM_2d_int_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812854-GES_DISC.umm_json "M2TMNXINT (or tavgM_2d_int_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of water and energy related vertically Integrated diagnostics, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXLFO_5.12.4 MERRA-2 tavgM_2d_lfo_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2TMNXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812855-GES_DISC.umm_json "M2TMNXLFO (or tavgM_2d_lfo_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as bias corrected precipitation, shortwave and longwave radiation at surface. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXLND_5.12.4 MERRA-2 tavgM_2d_lnd_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXLND) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812856-GES_DISC.umm_json "M2TMNXLND (or tavgM_2d_lnd_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXOCN_5.12.4 MERRA-2 tavgM_2d_ocn_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Ocean Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXOCN) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812857-GES_DISC.umm_json "M2TMNXOCN (or tavgM_2d_ocn_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXRAD_5.12.4 MERRA-2 tavgM_2d_rad_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812858-GES_DISC.umm_json "M2TMNXRAD (or tavgM_2d_rad_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TMNXSLV_5.12.4 MERRA-2 tavgM_2d_slv_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXSLV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812859-GES_DISC.umm_json "M2TMNXSLV (or tavgM_2d_slv_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). The collection also includes variance of certain parameters. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNPCLD_5.12.4 MERRA-2 tavgU_3d_cld_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Cloud Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNPCLD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812932-GES_DISC.umm_json "M2TUNPCLD (or tavgU_3d_cld_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics on 42 the pressure levels, such as updraft areal fraction, cloud fraction for radiation, in-cloud cloud liquid (or ice) for radiation, and mass fraction of cloud liquid (or ice) water. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNPMST_5.12.4 MERRA-2 tavgU_3d_mst_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNPMST) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812933-GES_DISC.umm_json "M2TUNPMST (or tavgU_3d_mst_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist processes diagnostics on the 42 pressure levels, such as convective rainwater source, 3D flux of ice convective (or nonconvective) precipitation, and 3D flux of liquid convective (or nonconvective) precipitation. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNPODT_5.12.4 MERRA-2 tavgU_3d_odt_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Ozone Tendencies 0.625 x 0.5 degree V5.12.4 (M2TUNPODT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812694-GES_DISC.umm_json "M2TUNPODT (or tavgU_3d_odt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of ozone tendencies on the 42 pressure levels, such as total ozone analysis tendency, tendency of odd oxygen mixing ratio due to chemistry, tendency of odd oxygen due to moist processes, and tendency of ozone due to dynamics. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNPQDT_5.12.4 MERRA-2 tavgU_3d_qdt_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Moist Tendencies 0.625 x 0.5 degree V5.12.4 (M2TUNPQDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812945-GES_DISC.umm_json "M2TUNPQDT (or tavgU_3d_qdt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moist tendencies on the 42 pressure levels, such as tendency of ice (or liquid) water due to dynamics, total ice (or liquid) water tendency due to moist, total specific humidity analysis tendency, and specific humidity tendency due to moist. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNPRAD_5.12.4 MERRA-2 tavgU_3d_rad_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNPRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812946-GES_DISC.umm_json "M2TUNPRAD (or tavgU_3d_rad_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of radiation diagnostics on 42 pressure levels, such as cloud fraction for radiation, and air temperature tendency due to longwave (or shortwave). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour that is time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNPTDT_5.12.4 MERRA-2 tavgU_3d_tdt_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Temperature Tendencies 0.625 x 0.5 degree V5.12.4 (M2TUNPTDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812695-GES_DISC.umm_json "M2TUNPTDT (or tavgU_3d_tdt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of air temperature tendencies on 42 pressure levels, such as total temperature analysis tendency, and tendency of air temperature due to dynamics (or friction, moisture, radiation, and physics). The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNPTRB_5.12.4 MERRA-2 tavgU_3d_trb_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Turbulence Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNPTRB) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812934-GES_DISC.umm_json "M2TUNPTRB (or tavgU_3d_trb_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of turbulence diagnostics on 42 pressure levels, such as total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, and Richardson number from Louis. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNPUDT_5.12.4 MERRA-2 tavgU_3d_udt_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation,Wind Tendencies 0.625 x 0.5 degree V5.12.4 (M2TUNPUDT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812935-GES_DISC.umm_json "M2TUNPUDT (or tavgU_3d_udt_Np) is a 3-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of wind tendencies on 42 pressure levels, such as total eastward (or northward) wind analysis tendency, tendency of eastward (or northward) wind due to dynamics, and tendency of eastward (or northward) wind due to turbulence. The information on the pressure levels can be found in the section 4.2 of the MERRA-2 File Specification document. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXADG_5.12.4 MERRA-2 tavgU_2d_adg_Nx: 2d,diurnal,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics (extended) 0.625 x 0.5 degree V5.12.4 (M2TUNXADG) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812880-GES_DISC.umm_json "M2TUNXADG (or tavgU_2d_adg_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics (extended), such as dry and wet deposition of each aerosol component, dust emission and sedimentation for each sized bin, and organic carbon convective scavenging. This data collection is the monthly mean of data fields for each hour and is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXAER_5.12.4 MERRA-2 tavgU_2d_aer_Nx: 2d,diurnal,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXAER) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812869-GES_DISC.umm_json "M2TUNXAER (or tavgU_2d_aer_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated aerosol diagnostics, such as column mass density of aerosol components (black carbon, dust, sea salt, sulfate, and organic carbon), surface mass concentration of aerosol components, and total extinction (and scattering ) aerosol optical thickness (AOT) at 550 nm. The total PM1.0, PM2.5, and PM10 may be derived with the formula described in the FAQs under the Documentation tab of this page. This data collection is the monthly mean of data fields for each hour and is time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXCHM_5.12.4 MERRA-2 tavgU_2d_chm_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Carbon Monoxide and Ozone Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXCHM) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812870-GES_DISC.umm_json "M2TUNXCHM (or tavgU_2d_chm_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated carbon monoxide and ozone diagnostics, such as properties of carbon monoxide (column burden, emission, chemical production, and surface concentration), and total column ozone. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXCSP_5.12.4 MERRA-2 tavgU_2d_csp_Nx: 2d,diurnal,Time-averaged,Single-Level,Assimilation,COSP Satellite Simulator 0.625 x 0.5 degree V5.12.4 (M2TUNXCSP) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812871-GES_DISC.umm_json "M2TUNXCSP (or tavgU_2d_csp_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of parameters from CFMIP Observations Simulator Package(COSP), such as ISCCP total cloud area fraction, MODIS cloud fraction water (ice) mean, MODIS cloud fraction low (mid,high) mean, modis cloud particle size water (ice) mean. CFMIP is the abbreviation of Cloud Feedback Model Intercomparison Project. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXFLX_5.12.4 MERRA-2 tavgU_2d_flx_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXFLX) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812872-GES_DISC.umm_json "M2TUNXFLX (or tavgU_2d_flx_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, and evaporation from turbulence. The “surface” in this data collection is the model surface layer. The heights of the model surface layer (HLML) vary with time and location, with the value of ~60 meter above ground. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXGLC_5.12.4 MERRA-2 tavgU_2d_glc_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Land Ice Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXGLC) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812873-GES_DISC.umm_json "M2TUNXGLC (or tavgU_2d_glc_Nx) is a 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated land ice surface diagnostics at the single levels, such as fractional area of glaciated surface snow cover, snow mass over glaciated surface, snow depth over glaciated surface, and total snow mass residual due to densification. This data collection is the monthly mean of data fields for each 3-hour and time-stamped at the central time starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXINT_5.12.4 MERRA-2 tavgU_2d_int_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Vertically Integrated Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXINT) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812874-GES_DISC.umm_json "M2TUNXINT (or tavgU_2d_int_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of water and energy related vertically Integrated diagnostics, such as autoconversion loss of cloud water, convective source of cloud ice (water), eastward (nothward) flux of atmospheric ice (liquid, vapor), total potential energy tendency, vertically integrated potential energy tendency, and vertically integrated kinetic energy tendency. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXLFO_5.12.4 MERRA-2 tavgU_2d_lfo_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Land Surface Forcings 0.625 x 0.5 degree V5.12.4 (M2TUNXLFO) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812875-GES_DISC.umm_json "M2TUNXLFO (or tavgU_2d_lfo_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface forcing parameters, such as bias corrected precipitation, shortwave and longwave radiation at surface. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXLND_5.12.4 MERRA-2 tavgU_2d_lnd_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXLND) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812876-GES_DISC.umm_json "M2TUNXLND (or tavgU_2d_lnd_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such as baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at root zone layer, and soil temperature at six layers. This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXOCN_5.12.4 MERRA-2 tavgU_2d_ocn_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Ocean Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXOCN) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812877-GES_DISC.umm_json "M2TUNXOCN (or tavgU_2d_ocn_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of ocean surface diagnostics, such as open water skin temperature (sea surface temperature), open water latent energy flux, open water upward sensible heat flux, and open water net downward longwave ( or shortwave ) flux . This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXRAD_5.12.4 MERRA-2 tavgU_2d_rad_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXRAD) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812881-GES_DISC.umm_json "M2TUNXRAD (or tavgU_2d_rad_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface net downward shortwave flux, and upwelling longwave flux at toa (top of atmosphere) (i.e. outgoing longwave radiation (OLR) at toa). This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2TUNXSLV_5.12.4 MERRA-2 tavgU_2d_slv_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXSLV) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1276812878-GES_DISC.umm_json "M2TUNXSLV (or tavgU_2d_slv_Nx) is a time-averaged 2-dimensional monthly diurnal means data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850 hPa, 500 hPa, 250hPa), wind components at 50-meter (or at 2-meter, 10-meter, 850hPa, 500hPa, 250 hPa), sea level pressure, surface pressure, and total precipitable water vapor (or ice water, liquid water). This data collection is the monthly mean of data fields for each hour and time-stamped with the central time of an hour starting from 00:30 UTC, e.g.: 00:30, 01:30, … , 23:30 UTC. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
+M2_TMAX_PM25_1 MERRA-2 avgM_2d_pm25_admin0, 2d, Single-Level, Country-Level Surface PM2.5 Monthly Mean Products V1 (M2_TMAX_PM25) at GES DISC GES_DISC STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2184005745-GES_DISC.umm_json "M2_TMAX_PM25 is a value-added product derived from the MERRA-2 aerosol monthly product M2TMNXAER_5.12.4 (or tavgM_2d_aer_Nx). The surface concentration of fine particulate matter (PM2.5) is calculated as the sum of individual aerosol components (organic carbon, black carbon, sulfate, sea salt, and dust) (Buchard et al., 2017) and is recast from the native MERRA-2 model grid. This data collection includes separate files for country-level (and territories) PM2.5 concentrations with and without population weighting applied. MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. Questions: If you have a question, please read ""MERRA-2 File Specification Document"", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov/viewforum.php?f=7) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov)." proprietary
MAA_0 Measurements along the Massachusetts and Maine coast OB_DAAC STAC Catalog 2007-04-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360468-OB_DAAC.umm_json Measurements taken along the Massachusetts and Maine coastal regions in 2007. proprietary
MAC021S0_002 MODIS/Aqua Calibrated Radiances 1km 5-Min 1B Narrow Swath Subset along CloudSat V002 (MAC021S0) at GES DISC GES_DISC STAC Catalog 2006-06-02 2018-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350891-GES_DISC.umm_json This is the narrow-swath MODIS/Aqua subset along CloudSat field of view track. The goal of the narrow-swath subset is to select and return MODIS data that are within +-5 km across the CloudSat track. I.e. the resultant MODIS subset swath is about 10 km cross-track. Thus, MAC021S0 cross-track width is 11 pixels for radiances. Geolocations in the original product, however, are subsampled at 5-km, and thus the cross-track width of the subset geolocations is 3 pixels. Along-track, all MODIS pixels from the original product are preserved. In the standard product, the MODIS Level 1B data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 to 14.4 micron region of electromagentic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W/(m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for the solar reflective bands (1-19, 26) through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously. (The shortname for this product is MAC021S0). proprietary
MAC021S1_002 MODIS/Aqua Calibrated Radiances 1km 5-Min 1B Wide Swath Subset along CloudSat V002 (MAC021S1) at GES DISC GES_DISC STAC Catalog 2006-06-02 2018-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350878-GES_DISC.umm_json This is the wide-swath MODIS/Aqua subset along CloudSat field of view track. The goal of the wide-swath subset is to select and return MODIS data that are within +-100 km across the CloudSat track. I.e. the resultant MODIS subset swath is about 200 km cross-track. Thus, MAC021S1 cross-track width is 201 pixels for radiances. Geolocations in the original product, however, are subsampled at 5-km, and thus the cross-track width of the subset geolocations is 41 pixels. Along-track, all MODIS pixels from the original product are preserved. In the standard product, the MODIS Level 1B data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 to 14.4 micron region of electromagentic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W/(m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for the solar reflective bands (1-19, 26) through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously. (The shortname for this product is MAC021S1). proprietary
@@ -9997,7 +10061,7 @@ MOD09A1_061 MODIS/Terra Surface Reflectance 8-Day L3 Global 500m SIN Grid V061 L
MOD09CMA_6.1NRT MODIS/Terra Aerosol Optical Thickness Daily L3 Global 0.05Deg CMA NRT LANCEMODIS STAC Catalog 2021-02-07 -180, -81, 180, 81 https://cmr.earthdata.nasa.gov/search/concepts/C2007660084-LANCEMODIS.umm_json The MODIS/Terra Aerosol Optical Thickness Daily L3 Global 0.05Deg CMA Neal Real Time (NRT) Product (MOD09CMA) is a daily level 3 and global product. It is in linear latitude and longitude (Plate Carre) projection with a 0.05Deg spatial resolution. This product is derived from MOD09IDN, MOD09IDT and MOD09IDS for each orbit by compositing the data on the basis of minimum band 3 (459 - 479 nm band) values (after excluding pixels flagged for clouds and high solar zenith angles). proprietary
MOD09CMG_061 MODIS/Terra Surface Reflectance Daily L3 Global 0.05Deg CMG V061 LPCLOUD STAC Catalog 2000-02-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2565788876-LPCLOUD.umm_json The MOD09CMG Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, resampled to 5600 meter (m) pixel resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. The MOD09CMG data product provides 25 layers including MODIS bands 1 through 7; Brightness Temperature data from thermal bands 20, 21, 31, and 32; along with Quality Assurance (QA) and observation bands. This product is based on a Climate Modeling Grid (CMG) for use in climate simulation models. Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data product is available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09). Improvements/Changes from Previous Versions * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). proprietary
MOD09CMG_6.1NRT MODIS/Terra Surface Reflectance Daily L3 Global 0.05Deg CMG NRT LANCEMODIS STAC Catalog 2021-02-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2007659960-LANCEMODIS.umm_json The MODIS/Terra Surface Reflectance Daily L3 Global 0.05Deg CMG Near Real Time (NRT) product provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. The short name for this product is MOD09CMG which provides Bands 1 through 7 in a daily level-3 product gridded on a simple 0.05 degree (5600-meter) Geographic projection. Data for each pixel is selected on the basis of low solar zenith angle, minimum Band 3 (blue) reflectance, and absence of cloud from level-3 intermediate files. Science Data Sets provided for this product include reflectance values for Bands 1???7, brightness temperatures for Bands 20, 21, 31, and 32, solar and view zenith angles, relative azimuth angle, ozone, granule time, and quality assessment. proprietary
-MOD09GA_061 MODIS/Terra Surface Reflectance Daily L2G Global 1km and 500m SIN Grid V061 LPCLOUD STAC Catalog 2000-02-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2202497474-LPCLOUD.umm_json The MOD09GA Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 500 meter (m) surface reflectance, observation, and quality bands are a set of ten 1 kilometer (km) observation bands and geolocation flags. The reflectance layers from the MOD09GA are used as the source data for many of the MODIS land products. Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data product is available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09). Improvements/Changes from Previous Versions * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). proprietary
+MOD09GA_061 MODIS/Terra Surface Reflectance Daily L2G Global 1km and 500m SIN Grid V061 LPCLOUD STAC Catalog 2000-02-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2202497474-LPCLOUD.umm_json The MOD09GA Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 500 meter (m) surface reflectance, observation, and quality bands are a set of ten 1 kilometer (km) observation bands and geolocation flags. The reflectance layers from the MOD09GA are used as the source data for many of the MODIS land products. proprietary
MOD09GA_6.1NRT MODIS/Terra Surface Reflectance Daily L2G Global 1km and 500m SIN Grid NRT LANCEMODIS STAC Catalog 2021-02-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2007661943-LANCEMODIS.umm_json The MODIS/Terra Surface Reflectance Daily L2G Global 1km and 500m SIN Grid Near Real Time (NRT) product is an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. This product, with short name MOD09GA provides Bands 1-7 in a daily gridded L2G product in the Sinusoidal projection, which includes 500-meter reflectance values and 1-kilometer observation and geolocation statistics. 500-meter Science Data Sets provided by this product include reflectance for Bands 1-7, a quality rating, observation coverage, observation number, and 250-meter scan information. 1-kilometer Science Data Sets provided include number of observations, quality state, sensor angles, solar angles, geolocation flags, and orbit pointers. proprietary
MOD09GQ_061 MODIS/Terra Surface Reflectance Daily L2G Global 250m SIN Grid V061 LPCLOUD STAC Catalog 2000-02-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2343115666-LPCLOUD.umm_json The MOD09GQ Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter (m) bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the 250 m surface reflectance bands are the Quality Assurance (QA) layer and five observation layers. This product is intended to be used in conjunction with the quality and viewing geometry information of the 500 m product (MOD09GA). Validation at stage 3 (https://modis-land.gsfc.nasa.gov/MODLAND_val.html) has been achieved for the MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data product is available from the MODIS Land Team Validation site (https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09). Improvements/Changes from Previous Versions * The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. * A polarization correction has been applied to the L1B Reflective Solar Bands (RSB). proprietary
MOD09GQ_6.1NRT MODIS/Terra Surface Reflectance Daily L2G Global 250 m SIN Grid NRT LANCEMODIS STAC Catalog 2021-02-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2007662107-LANCEMODIS.umm_json The MODIS/Terra Surface Reflectance Daily L2G Global 250m SIN Grid, Near Real Time (NRT) like other Surface Reflectance products are an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products. This product, with short name MOD09GQ provides Bands 1 and 2 at a 250-meter resolution in a daily gridded L2G product in the Sinusoidal projection. Science Data Sets provided for this product include reflectance for Bands 1 and 2 a quality rating observation coverage and observation number. This product is meant to be used in conjunction with MOD09GA where important quality and viewing geometry information is stored. proprietary
@@ -11033,44 +11097,108 @@ NSF-ANT90-24544_Not provided Atmospheric Boundary Layer Measurements on the Wedd
NSF-BWZ_0 National Science Foundation (NSF)-Blue Water Zone (BWZ) measurements OB_DAAC STAC Catalog 2004-02-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360531-OB_DAAC.umm_json Measurements taken in the Blue Water Zone (BWZ) under NSF funding near Antarctica and Drakes Passage in 2004 to 2006. proprietary
NSF_Gulf_Rapid_0 NSF Collaborative Research: A RAPID response to Hurricane Harvey impacts on coastal carbon cycle, metabolic balance and ocean acidification OB_DAAC STAC Catalog 2017-09-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1719969318-OB_DAAC.umm_json Collaborative Research: A RAPID response to Hurricane Harvey's impacts on coastal carbon cycle, metabolic balance and ocean acidification. proprietary
NSIDC-0001_6 DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures V006 NSIDC_ECS STAC Catalog 1987-07-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2113542962-NSIDC_ECS.umm_json This data set provides daily gridded brightness temperatures derived from passive microwave sensors and distributed in a polar stereographic projection. NSIDC produces daily gridded brightness temperatures from orbital swath data generated by the Special Sensor Microwave/Imager (SSM/I) aboard the Defense Meteorological Satellite Program (DMSP) F8, F11, and F13 platforms and the Special Sensor Microwave Imager/Sounder (SSMIS) aboard DMSP F17 and F18. The SSM/I and SSMIS channels used to calculate brightness temperatures include 19.3 GHz vertical and horizontal, 22.2 GHz vertical, 37.0 GHz vertical and horizontal, 85.5 GHz vertical and horizontal (on SSM/I), and 91.7 GHz vertical and horizontal (on SSMIS). Data at 85.5 GHz and 91.7 GHz are gridded at a resolution of 12.5 km, with all other frequencies at a resolution of 25 km. Orbital data for each 24-hour period are mapped to respective grid cells using a simple sum-and-average method, also known as the drop-in-the-bucket method. Data coverage began on 09 July 1987 and is ongoing through the most current processing, with updated data processed several times annually. proprietary
+NSIDC-0020_1 Coordinated Eastern Arctic Experiment (CEAREX) Data, Version 1 NSIDCV0 STAC Catalog 1988-03-01 1989-05-31 -30, 60, 30, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206955-NSIDCV0.umm_json CEAREX was a multi-platform field program conducted in the Norwegian Seas and Greenland north to Svalbard from September 1988 through May 1989. Canada, Denmark, France, Norway and the United States participated in the experiment. proprietary
+NSIDC-0026_1 AVHRR Leads-ARI Polar Gridded Brightness Temperatures, Version 1 NSIDCV0 STAC Catalog 1988-01-01 1989-12-31 -180, 60, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246913-NSIDCV0.umm_json This data set consists of AVHRR imagery selected from hard copy 'quick look' images to provide the best coverage possible over the Arctic approximately every three days for a three-year period. Level-1B data from NOAA/SDSD have been calibrated and mapped to earth locations, then gridded to 1 km pixels on a basin scale to the polar stereographic projection. The projection is similar to that used by NSIDC to produce DMSP SSM/I polar brightness temperature and sea ice products. Each image was ranked for areal coverage of particular seas and for degree of cloud coverage. Passes covering a large area are generally favored over shorter passes with less cloud cover. The data set was developed in support of the Office Of Naval Research Arctic Leads Accelerated Research Initiative (Arctic Leads ARI). The aim of the Initiative was to develop a more thorough understanding of the oceanography, meteorology, and ice dynamics surrounding formation and evolution of leads in sea ice. The leads ARI field experiment took place from March to April 1992. A spreadsheet containing the image rankings is available in hard copy (NOARL Tech. Note 118, April 1991); paper copies of the spreadsheet are available on request. Data set information is available on-line. Data are available via FTP. proprietary
+NSIDC-0033_1 Arctic Water Vapor Characteristics from Rawinsondes, Version 1 NSIDCV0 STAC Catalog 1954-01-01 1991-12-31 -180, 65, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386246952-NSIDCV0.umm_json A gridded climatological monthly-mean data base of Arctic water vapor characteristics has been assembled by combining fixed station data with data from soundings taken over the Arctic Ocean from ships and Russian drifting stations. Variables provided include temperature, specific humidity, zonal vapor flux, meridional vapor flux, zonal wind speed, and meridional wind speed, available for 15 pressure levels extending from the surface (1,000 mb) to 300 mb. Sea level pressure and geopotential height are provided for the 850 mb, 700 mb, 500 mb and 300 mb levels. Precipitable water, vertically integrated zonal vapor flux and vertically integrated meridional vapor flux are available for five layers: surface to 850 mb, 850 to 700 mb, 700 to 500 mb, 500 to 400 mb and 400 to 300 mb. Coverage of the rawinsonde archives extends from 1954 through 1990 for data from the Russian North Pole series of drifting ice stations over the Arctic Ocean; from 1976 through 1991 for fixed-station data obtained from the National Center for Atmospheric Research; and from about 1958 through 1991 for fixed-station data obtained from the Historical Arctic Rawinsonde Archive. All variables were obtained through interpolation of the raw sounding data, with the exception of sea level pressure and geopotential height. The files are structured in monthly data arrays over a subsection of the National Meteorological Center grid (octagonal grid format) centered over the pole, extending to approximately 65 degrees North on each side and about 55 degrees North at the corners. proprietary
NSIDC-0051_2 Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data V002 NSIDC_ECS STAC Catalog 1978-10-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2399557265-NSIDC_ECS.umm_json This data set is generated from brightness temperature data and is designed to provide a consistent time series of sea ice concentrations spanning the coverage of several passive microwave instruments.The data are provided in the polar stereographic projection at a grid cell size of 25 x 25 km. Data coverage began on 26 October 1978 and is ongoing through the most current processing, with updated data processed several times annually. proprietary
+NSIDC-0052_1 Digital SAR Mosaic and Elevation Map of the Greenland Ice Sheet, Version 1 NSIDCV0 STAC Catalog 1991-01-01 1995-12-31 -73, 60, -10, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1386206960-NSIDCV0.umm_json The Digital SAR Mosaic and Elevation Map of the Greenland Ice Sheet combines the most detailed synthetic aperture radar (SAR) image mosaic available with the best current digital elevation model. The mosaic image shows both the location of the ice edge and the distribution of melt-related 'scatterers' on the surface. These scatterers include ice lenses and complex layered structure in the percolation zone and bare ice of the ablation zone. Other melt-related features that can be seen include lake and surface meltwater stream channels at lower elevations, as well as ice-marginal lakes. This characterization of the ice sheet provides a reference against which future change can be measured. Changing conditions resulting from climatic variation should show up as changes in the ice margin and shifts in the hydrologic zones. It is hoped that the standard reference provided by this data set can facilitate activities aimed at change detection and promote other work aimed at understanding the processes operating on the ice sheet. The image data are derived from SAR image swaths acquired by the ERS-1 satellite during August of 1992. The mosaic was assembled at the Jet Propulsion Laboratory (JPL) and Goddard Space Flight Center (GSFC). Its component images are a copyrighted product of the European Space Agency. The mosaic, a value-added derived product, is available to individuals and non-profit organizations for research oriented purposes only. The Danish geodetic and cadastral agency Kort-og Matrikelstyrelsen (KMS) compiled the elevation data provided with the product from a number of sources, including field surveys, aerial photographs, and the ERS-1 radar altimeter. proprietary
+NSIDC-0057_1 Comprehensive Ocean - Atmosphere Data Set (COADS) LMRF Arctic Subset, 1950 - 1995, Version 1 NSIDCV0 STAC Catalog 1950-01-01 1995-12-31 -180, 65, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205520538-NSIDCV0.umm_json The Comprehensive Ocean - Atmosphere Data Set (COADS) Long Marine Reports Fixed-Length (LMRF) Arctic subset contains marine surface weather reports for regions north of 65 degrees N from ships, drifting ice stations, and buoys. The COADS LMRF Arctic subset contains data collected over the years 1950 to 1995 and includes the following parameters: air and sea temperature, cloudiness, humidity, and winds. The data are in the form of individual marine reports with a given latitude and longitude. proprietary
+NSIDC-0060_1 Daily Arctic Ocean Rawinsonde Data from Soviet Drifting Ice Stations, Version 1 NSIDCV0 STAC Catalog 1954-04-19 1990-07-31 -180, 70, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206963-NSIDCV0.umm_json This archive of daily rawinsonde measurements of wind direction and speed, atmospheric pressure, humidity, air temperature, and geopotential height as well as surface-based observation of cloud cover (amount, type and height) from Soviet North Pole drifting stations was assembled under the direction of Dr. J. Kahl, with funding from the National Oceanic and Atmospheric Administration, the National Science Foundation, and the Electric Power Research Institute. Soundings were recorded from April 19, 1954 to July 31, 1990 at drifting stations located in the Arctic Ocean, north of approximately 70 degrees North. Data were obtained from several different sources. All of these data are ultimately derived from the set of bound volumes of handwritten tables kept at the Arctic and Antarctic Research Institute (AARI) in St. Petersburg, Russia. Data are in 21 ASCII text format files with an average size of under 10 MB. proprietary
+NSIDC-0063_1 Global Annual Freezing and Thawing Indices, Version 1 NSIDCV0 STAC Catalog 1920-01-01 1980-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206964-NSIDCV0.umm_json The total annual freezing and thawing indices are defined as the cumulative number of degree-days when air temperatures are below and above zero degrees Celsius. The total annual freezing index has been widely used to predict permafrost distribution; estimate the maximum thickness of sea, lake, and river ice, and the maximum depth of ground-frost penetration; and classify snow types. The annual total thawing index has been used to predict permafrost distribution and to estimate the maximum depth of thaw in frozen ground. Both total freezing and thawing indices are important parameters for engineering design in cold regions. Data coverage is global. The data set contains the total annual freezing and thawing indices with a spatial resolution of 0.5 degrees latitude by 0.5 degrees longitude. Two data files are available, for the freeze and thaw indices respectively, in flat binary format. Each file is approximately 1 MB in size. The total annual freezing and thawing indexes were calculated based upon the monthly mean air temperature by Legates and Willmott (1990). proprietary
NSIDC-0070_1 Antarctic Ice Velocity Data AMD_USAPDC STAC Catalog 1975-01-01 -180, -90, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C2532071491-AMD_USAPDC.umm_json This compilation of recent ice velocity data of the Antarctic ice sheet is intended for use by the polar scientific community. The data are presented in tabular form (ASCII), containing latitude, longitude, speed, bearing, and error ranges. A metadata header describes the source of the data, the time of measurement, and gives details on measurement accuracy and precision. The tables are available for ftp transfer. Web pages developed specifically for this data set provide detailed information for viewing and selecting the velocity data. These pages contain large satellite image maps (available as jpeg files). The data sets used to create these images were contributed by several investigators, generally from already published work. Both in situ and image-based methods are used. References for the data sets are included with the data tables. If you have well-characterized Antarctic ice velocity data you would like to contribute to this site, please contact teds@icehouse.colorado.edu. If you have any questions concerning the relevance of these data to your work please contact NSIDC User Services. proprietary
NSIDC-0071_1 Nimbus-7 SMMR Pathfinder Daily EASE-Grid Brightness Temperatures V001 NSIDC_ECS STAC Catalog 1978-10-25 1987-08-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1518647226-NSIDC_ECS.umm_json This data set consists of brightness temperatures acquired from the Scanning Multichannel Microwave Radiometer (SMMR) on board the Nimbus-7 Pathfinder satellite. The brightness temperatures are gridded onto the Equal-Area Scalable Earth Grid (EASE-Grid) and are presented in three different projections: Northern Hemisphere, Southern Hemisphere, and global. proprietary
+NSIDC-0075_1 GEOSAT Radar Altimeter DEM Atlas of Antarctica North of 72.1 degrees South, Version 1 NSIDCV0 STAC Catalog 1985-04-01 1986-09-30 -180, -72, 180, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1386207005-NSIDCV0.umm_json The Antarctic atlas consists of 28 digital elevation maps which cover all of Antarctica north of 72.1 degrees south at a resolution of three kilometers. Each map contains surface elevations and coordinates for one atlas page covering 16 degrees of longitude. Data were acquired by the Geodetic Satellite (GEOSAT) Geodetic Mission (GM) from March 1985 through September 1986 and are available in both Universal Transverse Mercator (UTM) coordinates, and in latitude and longitude coordinates. Data were mapped using the UTM projection in atlas form to decrease the distortion that usually occurs at the poles. Many features of the Antarctic Ice Sheet are shown in more detail than in previous digital elevation models, especially along the margin of the East Antarctic Ice Sheet. A geostatistical mapping technique (Herzfeld et al. 1993) improved the accuracy of surface elevations compared to previous GEOSAT elevation data sets. This atlas will facilitate the monitoring of changes in surface elevation that could indicate mass changes in the Antarctic Ice Sheet. proprietary
+NSIDC-0076_1 Antarctic 5-km Digital Elevation Model from ERS-1 Altimetry, Version 1 NSIDCV0 STAC Catalog 1994-03-01 1995-05-31 -180, -81, 180, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1386207013-NSIDCV0.umm_json This data set provides a Digital Elevation Model (DEM) for Antarctica to 81.5 degrees south latitude, at a resolution of 5 km. Approximately twenty million data points were used to generate this data set. Data points were derived from ERS-1 radar altimetry during the geodetic phase from March 1994 to May 1995. proprietary
NSIDC-0077_2 Nimbus-5 ESMR Polar Gridded Brightness Temperatures V002 NSIDC_ECS STAC Catalog 1972-12-11 1977-05-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1518648948-NSIDC_ECS.umm_json The Nimbus-5 Electrically Scanning Microwave Radiometer (ESMR) data set consists of gridded brightness temperature arrays for the Arctic and Antarctic, spanning 11 December 1972 through 16 May 1977. The ESMR instrument senses horizontally polarized radiation at a frequency of 19 GHz. The data are gridded to a polar stereographic projection at 25 km resolution and adjusted to partially remove instrument drift and sensitivity shifts. Daily data that could not be adjusted are missing from this data set. Data are in 2-byte integer flat-binary format. proprietary
NSIDC-0079_4 Bootstrap Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS V004 NSIDC_ECS STAC Catalog 1978-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2794540918-NSIDC_ECS.umm_json This sea ice concentration data set was derived using measurements from the Scanning Multichannel Microwave Radiometer (SMMR) on the Nimbus-7 satellite and from the Special Sensor Microwave/Imager (SSM/I) sensors on the Defense Meteorological Satellite Program's (DMSP) -F8, -F11, and -F13 satellites. Measurements from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard DMSP-F17 are also included. The data set has been generated using the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) Bootstrap Algorithm with daily varying tie-points. Daily (every other day prior to July 1987) and monthly data are available for both the north and south polar regions. Data are gridded on the SSM/I polar stereographic grid (25 x 25 km) and provided in two-byte integer format. Data coverage began on 01 November 1978 and is ongoing through the most current processing, with updated data processed several times annually. proprietary
NSIDC-0080_2 Near-Real-Time DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures V002 NSIDC_ECS STAC Catalog 2021-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2519306057-NSIDC_ECS.umm_json The Near-Real-Time DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperature product provides near-real-time polar stereographic gridded daily brightness temperatures for both the Northern and Southern Hemispheres. proprietary
NSIDC-0081_2 Near-Real-Time DMSP SSMIS Daily Polar Gridded Sea Ice Concentrations V002 NSIDC_ECS STAC Catalog 2021-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2176562253-NSIDC_ECS.umm_json This data set provides a Near-Real-Time (NRT) map of sea ice concentrations for both the Northern and Southern Hemispheres. proprietary
+NSIDC-0092_1 Greenland 5 km DEM, Ice Thickness, and Bedrock Elevation Grids, Version 1 NSIDCV0 STAC Catalog 1970-01-01 1999-12-31 -72, 60, -15, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1386250156-NSIDCV0.umm_json A Digital Elevation Model (DEM), ice thickness grid, and bedrock elevation grid of Greenland, acquired as part of the PARCA program. DEM data are a combination of ERS-1 and Geosat satellite radar altimetry data, Airborne Topographic Mapper (ATM) data, and photogrammetric digital height data. Ice thickness data are based on approximately 700,000 data points collected in the 1990s from a University of Kansas airborne Ice Penetrating Radar (IPR). Nearly 30,000 data points were collected in the 1970s from a Technical University of Denmark (TUD) airborne echo sounder.The ice thickness grid was subtracted from the DEM to produce a grid of bedrock elevation values. Data set applications include studies of gravitational driving stress and ice volume (mass balance) of the Greenland Ice Sheet. proprietary
NSIDC-0093_1 Central West Antarctic Glaciochemistry from Ice Cores AMD_USAPDC STAC Catalog 1740-01-01 1995-12-31 -120, -85, -105, -80 https://cmr.earthdata.nasa.gov/search/concepts/C2532071477-AMD_USAPDC.umm_json Glaciochemical and accumulation rate records developed from four ice cores in central West Antarctica are used to reconstruct former atmospheric circulation patterns in this region for the last 40 years with extended records (150-250 years) at two sites. The sites lie on a 200 km traverse from 82 degrees 22 minutes south, 119 degrees 17 minutes west to 81 degrees 22 minutes south, 107 degrees 17 minutes west, gaining elevation from 950 to 1930 m. The glaciochemical records represent the major ionic species present in Antarctic snow: sodium, potassium, magnesium, calcium, chloride, nitrate, and sulfate. proprietary
NSIDC-0108_1 Carbon-Isotopic Composition of Atmospheric CO2 since the Last Glacial Maximum AMD_USAPDC STAC Catalog 1970-01-01 158.71, -77.8, 158.71, -77.8 https://cmr.earthdata.nasa.gov/search/concepts/C2532071453-AMD_USAPDC.umm_json These data describe the concentration and carbon-isotopic composition (d13CO2) of atmospheric CO2 from air trapped in ice between 27,000 and 1,300 years before present from Taylor Dome, Antarctica. Data are used to investigate the causes of the CO2 concentration increase that occurred during the transition between the last glacial maximum (LGM) and the Holocene. Data are in tab-delimited ASCII and Excel formats, and are available via ftp. proprietary
NSIDC-0114_1 Blue Ice Tephra II - Brimstone Peak AMD_USAPDC STAC Catalog 1996-01-01 1997-12-31 158.55, -75.9, 158.67, -75.86 https://cmr.earthdata.nasa.gov/search/concepts/C2532071442-AMD_USAPDC.umm_json This data set is the result of a study of volcanic ash and rock fragment (tephra) layers in exposed blue ice areas on Brimstone Peak (75.888S 158.55E) in East Antarctica. Tephra samples were collected between 15 November 1996 and 15 January 1997. The Antarctic ice sheets preserve a record of the volcanic ash layers and chemical aerosol signatures of local and distant volcanic eruptions. Correlation of individual tephra layers, or sets of layers, in blue ice areas will allow a better understanding of the geometry of ice flow in these areas. Tephra layers in deep ice cores can also provide unique time-stratigraphic markers in cores that are difficult to date. Data include the following information for each sample site: a general description, electron microprobe analysis, GPS location, neutron activation analysis, and a visual description of the petrography.Data are provided as Excel 97 data files, JPG map files, and GIF-formatted BSE images. Data are available via ftp. proprietary
NSIDC-0115_1 Blue Ice Tephra II - Mt. DeWitt AMD_USAPDC STAC Catalog 1996-01-01 1997-12-31 -159.51, -77.12, -159.51, -77.12 https://cmr.earthdata.nasa.gov/search/concepts/C2532071439-AMD_USAPDC.umm_json This data set is the result of a study of volcanic ash and rock fragment (tephra) layers in exposed blue ice areas on Mt. DeWitt, Antarctica (77.12 deg S, 159.51 deg E). Tephra samples were collected between 15 November 1996 and 15 January 1997. Data include the following information for each sample site: a general description, electron microprobe analysis, GPS location, neutron activation analysis, and a visual description of the petrography. Data are provided as an Excel 97 data file, (this file is also divided into various text files) and TIF images. Data are available via ftp. Antarctic ice sheets preserve a record of the volcanic ash layers and chemical aerosol signatures of local and distant volcanic eruptions. Correlation of individual tephra layers, or sets of layers, in blue ice areas will allow a better understanding of the geometry of ice flow in these areas. Tephra layers in deep ice cores can also provide unique time-stratigraphic markers in cores that are difficult to date. proprietary
+NSIDC-0118_1 DISP Yearly Satellite Photographic Mosaics of Greenland 1962-1963, Version 1 NSIDCV0 STAC Catalog 1962-05-15 1963-10-31 -75, 58, -10, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1386250176-NSIDCV0.umm_json The Declassified Intelligence Satellite Photographs (DISP) Yearly Satellite Photographic Mosaics of Greenland are composites of black-and-white photographs of Greenland taken from American satellites in 1962 and 1963. The mosaics provide details of ice sheet morphology, glaciers, rock outcrops, the coastline, and other features. The image mosaics are useful for comparing the extent and internal configuration of the Greenland ice sheet with current satellite data. The data set consists of one tagged image file (.TIF) for each year. The files are large-- the 1962 mosaic image dimensions are 17,092 by 28,484 pixels and the file size is 464.3 MB. The 1963 image dimensions are 17,792 by 27,805 pixels and the file size is 471.8 MB. proprietary
+NSIDC-0144_1 CLPX-Satellite: SSM/I Brightness Temperature Grids, Version 1 NSIDCV0 STAC Catalog 2002-02-01 2003-05-31 -108.5, 38.5, -104, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1386250192-NSIDCV0.umm_json This data set includes Defense Meteorological Satellite Program (DMSP) F-13 passive microwave brightness temperatures gridded to the geographic (lat/long) and UTM grids of the Cold Land Processes Field Experiment (CLPX) Large Regional Study Area (LRSA). proprietary
+NSIDC-0145_1 CLPX-Satellite: AMSR-E Brightness Temperature Grids, Version 1 NSIDCV0 STAC Catalog 2003-02-01 2003-05-31 -108.5, 38.5, -104, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1386208442-NSIDCV0.umm_json This data set includes Aqua Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) passive microwave brightness temperatures gridded to the geographic (lat/long) and UTM grids of the Large Regional Study Area (LRSA) of the NASA Cold Land Processes Field Experiement (CLPX). proprietary
+NSIDC-0148_1 CLPX-Satellite: EO-1 Hyperion Surface Reflectance, Snow-Covered Area, and Grain Size, Version 1 NSIDCV0 STAC Catalog 2002-02-15 2002-03-19 -106, 39.6, -105.7, 40.3 https://cmr.earthdata.nasa.gov/search/concepts/C1386208452-NSIDCV0.umm_json This data set consists of apparent surface reflectance, subpixel snow-covered area, and grain size collected from the Hyperion hyperspectral imager. The Hyperion imager has a spectral range of 400-2500 nm, a spectral resolution of 10 nm, spatial resolution of 30 m, and a swath width of 7.8 km. Sampling is scene based (256 samples, 512 lines). proprietary
+NSIDC-0149_1 CLPX-Satellite: Landsat Thematic Mapper Imagery, Version 1 NSIDCV0 STAC Catalog 2001-11-10 2003-01-09 -107.23799, 39.34853, -104.51927, 41.3098 https://cmr.earthdata.nasa.gov/search/concepts/C1386256658-NSIDCV0.umm_json This data set consists of Landsat thematic mapper imagery collected over the Cold Land Processes Field Experiment (CLPX) Large Regional Study Area (LRSA), located between 38.5-42 N and 104-108.5 W. Data consist of Level 1G imagery products (radiance) that have been radiometrically and geometrically corrected. proprietary
+NSIDC-0150_1 CLPX-Satellite: Multi-angle Imaging Spectroradiometer (MISR) Products, Version 1 NSIDCV0 STAC Catalog 2002-02-15 2003-05-15 -108.5, 38.5, -104, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1386203797-NSIDCV0.umm_json This data set includes Level-1B2 georectified terrain, Level-2 land surface, and an ancillary geographic product for the Large Regional Study Area (LRSA) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado and southern Wyoming. proprietary
+NSIDC-0151_1 CLPX-Satellite: MODIS Radiances, Reflectances, Snow Cover and Related Grids, Version 1 NSIDCV0 STAC Catalog 2002-02-15 2003-05-15 -108.5, 38.5, -104, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1386250201-NSIDCV0.umm_json This data set provides Moderate Resolution Imaging Spectroradiometer (MODIS) data as part of the Cold Land Processes Field Experiment (CLPX). Parameters include radiances, surface reflectance, snow cover, land surface temperature/emissivity, and vegetation indices. proprietary
+NSIDC-0152_1 CLPX-Satellite: AVHRR/HRPT Brightness Temperatures and Reflectances, Version 1 NSIDCV0 STAC Catalog 2001-11-09 2003-06-26 -108.55, 38.45, -103.95, 42.05 https://cmr.earthdata.nasa.gov/search/concepts/C1386203814-NSIDCV0.umm_json This data set includes AVHRR/HRPT (Advanced Very High Resolution Radiometer/High Resolution Picture Transmission) brightness temperatures and reflectances over the NASA Cold Land Processes Field Experiment (CLPX) Large Regional Study Area (LRSA). proprietary
+NSIDC-0153_1 CLPX-Airborne: Airborne Synthetic Aperture Radar (AIRSAR) Imagery, Version 1 NSIDCV0 STAC Catalog 2002-02-19 2003-03-30 -106.7, 39.9, -105.9, 40.7 https://cmr.earthdata.nasa.gov/search/concepts/C1386203823-NSIDCV0.umm_json Airborne Synthetic Aperture Radar (AIRSAR) is a side-looking imaging radar that is able to collect data irrespective of daylight or cloud cover. The AIRSAR instrument operated in two modes over each Cold Land Processes Field Experiment (CLPX) Meso-cell Study Area (MSA). In the first mode (POLSAR), polarimetric radar data were collected at P-, L-, and C-bands. In the second mode (TOPSAR), cross-track interferometry data were collected at C- and L-bands. proprietary
+NSIDC-0154_1 CLPX Airborne: Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Data, Version 1 NSIDCV0 STAC Catalog 2002-02-19 2002-04-08 -107, 39.7, -105.5, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1386203832-NSIDCV0.umm_json This data set consists of apparent surface reflectance, subpixel snow-covered area and grain size inferred from data acquired by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). proprietary
+NSIDC-0155_1 CLPX-Airborne: Multiband Polarimetric Scanning Radiometer (PSR) Imagery, Version 1 NSIDCV0 STAC Catalog 2002-02-19 2003-03-31 -107.4, 39.6, -105.2, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1386203844-NSIDCV0.umm_json This data set provides multiband polarimetric brightness temperature images over three 25 x 25 km mesoscale study areas (MSAs) in Northern Colorado. proprietary
+NSIDC-0157_1 CLPX-Airborne: Infrared Orthophotography and Lidar Topographic Mapping, Version 1 NSIDCV0 STAC Catalog 2003-04-08 2003-09-19 -107.5, 39.5, -105, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1386203856-NSIDCV0.umm_json The data set consists of color infrared orthophotography (TerrainVision® - High resolution Topographic Mapping & Aerial Photography, with 6-inch pixel resolution), lidar elevation returns (raw/combined, filtered to bare ground/snow, and filtered to top of vegetation), elevation contours (0.5 meter) and snow depth contours (0.1 meter). proprietary
+NSIDC-0158_1 CLPX Airborne Gamma Snow and Soil Moisture Surveys, Version 1 NSIDCV0 STAC Catalog 2001-09-20 2003-03-31 -107.5, 39.5, -105, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1386203867-NSIDCV0.umm_json Airborne gamma surveys were conducted over each of the three Cold Land Processes Field Experiment (CLPX) Meso-cell Study Areas (MSAs) in northern Colorado, USA, during September 2001 and 2002, and during the three Intensive Observation Periods (IOPs) in February 2002 (IOP1), February 2003 (IOP3) and March 2003 (IOP4). Data collected in September 2001 and 2002 provided background gamma radiation measurements necessary to calculate measurements of snow water equivalent (SWE) and soil moisture during subsequent winters. proprietary
+NSIDC-0159_1 CLPX-Airborne: Polarimetric Ku-Band Scatterometer (POLSCAT) Data, Version 1 NSIDCV0 STAC Catalog 2002-02-21 2003-03-30 -106.81694, 39.76694, -105.71694, 40.78361 https://cmr.earthdata.nasa.gov/search/concepts/C1386203879-NSIDCV0.umm_json This data set contains Ku-band polarimetric scatterometer (POLSCAT) data collected as part of the Cold Land Processes Field Experiment (CLPX) to enable the development of a retrieval algorithm for snow water equivalent (SWE). proprietary
+NSIDC-0161_1 CLPX-Ground: Ground-Based Infrared Images of the LSOS Site, Version 1 NSIDCV0 STAC Catalog 2002-02-18 2003-03-30 -105.8829, 39.9066, -105.8829, 39.9066 https://cmr.earthdata.nasa.gov/search/concepts/C1386250208-NSIDCV0.umm_json This data set presents more than 400 sub-canopy digital thermograms collected at the Fraser Experimental Forest (Fraser, Colorado, USA) using an Infrared Solutions IR SnapShot™ thermoelectric thermal infrared (IR) imaging radiometer that was cold-weather modified. proprietary
+NSIDC-0164_1 CLPX-Ground: Ground-Based Frequency Modulated Continuous Wave (FMCW) Radar, Version 1 NSIDCV0 STAC Catalog 2002-02-19 2003-03-29 -106.6788, 39.828, -105.7681, 40.6449 https://cmr.earthdata.nasa.gov/search/concepts/C1386203912-NSIDCV0.umm_json This data set is comprised of FMCW radar measurements, which are sensitive to electromagnetic discontinuities in the snowpack made during the 2002 and 2003 Cold Land Processes Field Experiment (CLPX). proprietary
+NSIDC-0165_1 CLPX-Ground: Ground Based Passive Microwave Radiometer (GBMR-7) Data, Version 1 NSIDCV0 STAC Catalog 2002-01-19 2003-03-29 -105.9, 39.95, -105.9, 39.95 https://cmr.earthdata.nasa.gov/search/concepts/C1386203927-NSIDCV0.umm_json This data set contains brightness temperature observations of the snow cover at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in Fraser, Colorado, USA. proprietary
+NSIDC-0166_1 CLPX-Ground: Ground-based L and Ku band polarimetric scatterometry, Version 1 NSIDCV0 STAC Catalog 2003-02-17 2003-03-30 -105.9, 39.95, -105.9, 39.95 https://cmr.earthdata.nasa.gov/search/concepts/C1386203934-NSIDCV0.umm_json This data set includes ground-based radar observations carried out at the Fraser Experimental Forest Headquarters, Colorado, USA. proprietary
+NSIDC-0167_1 CLPX-Ground: University of Michigan Ground-Based Microwave Radiometer, Version 1 NSIDCV0 STAC Catalog 2003-03-24 2003-04-02 -105.883056, 39.903611, -105.883056, 39.903611 https://cmr.earthdata.nasa.gov/search/concepts/C1386203941-NSIDCV0.umm_json This data set contains microwave radiometry data collected at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in Colorado, USA, during IOP4 (March-April 2003). proprietary
+NSIDC-0168_1 CLPX-Ground: Micrometeorological Data at the Local Scale Observation Site (LSOS), Version 1 NSIDCV0 STAC Catalog 2002-11-06 2003-05-29 -105.88294, 0, 0, 39.90661 https://cmr.earthdata.nasa.gov/search/concepts/C1386203951-NSIDCV0.umm_json This data set includes two sets of soil temperature profiles, two sets of soil moisture profiles, two sets of soil heat flux profiles (in dense pine and open pine areas), and one set of a snow temperature profile, air temperature, and relative humidity measurements. Measurements were made at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado. proprietary
+NSIDC-0169_1 CLPX-Ground: Snow Measurements at the Local Scale Observation Site (LSOS), Version 1 NSIDCV0 STAC Catalog 2002-02-22 2003-03-30 -105.9, 39.95, -105.9, 39.95 https://cmr.earthdata.nasa.gov/search/concepts/C1386203964-NSIDCV0.umm_json This data set presents snow depth, snow water equivalence (SWE), snow wetness data, and snow pit data from two pine sites and a small clearing at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado. proprietary
+NSIDC-0170_1 CLPX-Ground: Sub-Canopy Energetics at the Local Scale Observation Site (LSOS), Version 1 NSIDCV0 STAC Catalog 2001-11-01 2003-03-31 -105.883, 39.9038, -105.883, 39.9038 https://cmr.earthdata.nasa.gov/search/concepts/C1386203972-NSIDCV0.umm_json This data set consists of solar and longwave radiation data from beneath two pine canopies (one uniform, one discontinuous) at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado. proprietary
+NSIDC-0172_1 CLPX-Ground: ISA Main Meteorological Data, Version 1 NSIDCV0 STAC Catalog 2002-09-20 2003-10-01 -107.5, 39.5, -105, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1386250216-NSIDCV0.umm_json This data set contains meteorological observations at ten sites throughout the Small Regional Study Area (SRSA) of the Cold Land Processes Field Experiment (CLPX) in Fraser, Colorado, USA. proprietary
+NSIDC-0173_1 CLPX-Ground: ISA Corner Site Meteorological Data, Version 1 NSIDCV0 STAC Catalog 2002-09-01 2003-10-31 -107.5, 39.5, -105, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1386250221-NSIDCV0.umm_json This data set contains meteorological observations at 36 sites throughout the Small Regional Study Area (SRSA) of the NASA Cold Land Processes Field Experiment (CLPX) in Colorado, USA. proprietary
+NSIDC-0175_2 CLPX-Ground: ISA Snow Depth Transects and Related Measurements, Version 2 NSIDCV0 STAC Catalog 2002-02-19 2003-03-31 -108.5, 38.5, -104, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1386203993-NSIDCV0.umm_json This data set consists of snow depth data from nine study areas, within three larger-scale areas in northern Colorado (Fraser, North Park, and Rabbit Ears Meso-cell Study Areas (MSAs)). The study areas range from low-relief (flat topography) unforested areas with shallow snow covers, to high-relief (complex topography) densely forested areas with deep snow covers. proprietary
+NSIDC-0176_2 CLPX-Ground: ISA Snow Pit Measurements, Version 2 NSIDCV0 STAC Catalog 2002-02-19 2002-03-30 -108.5, 38.5, -104, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1386204008-NSIDCV0.umm_json This data set consists of snow pit data from nine study areas, within three larger-scale areas in northern Colorado (Fraser, North Park, and Rabbit Ears Meso-cell Study Areas (MSAs)). The study areas range from low-relief (flat topography) unforested areas with shallow snow covers, to high-relief (complex topography) densely forested areas with deep snow covers. proprietary
+NSIDC-0178_1 CLPX-Ground: ISA Soil Moisture Measurements, Version 1 NSIDCV0 STAC Catalog 2001-09-01 2003-04-30 -106.8, 39.8, -105.7, 40.8 https://cmr.earthdata.nasa.gov/search/concepts/C1386250228-NSIDCV0.umm_json This data set consists of in-situ point measurements of soil moisture within three 25-km by 25-km Meso-cell Study Areas (MSAs) in northern Colorado (Fraser, North Park , and Rabbit Ears). proprietary
+NSIDC-0179_1 CLPX-Model: Local Analysis and Prediction System: 4-D Atmospheric Analyses, Version 1 NSIDCV0 STAC Catalog 2001-09-01 2003-08-31 -108.5, 38.5, -104, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1386250229-NSIDCV0.umm_json The Local Analysis and Prediction System (LAPS), run by the NOAA's Forecast Systems Laboratory (FSL), combines numerous observed meteorological data sets into a collection of atmospheric analyses. proprietary
+NSIDC-0180_1 CLPX NOAA FSL Rapid Update Cycle 20 km (RUC-20) Dataset, Version 1 NSIDCV0 STAC Catalog 2002-09-30 2003-09-30 -126, 24, 66, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1386250230-NSIDCV0.umm_json The Rapid Update Cycle analysis/model system at a 20-km horizontal resolution (RUC20) provides short-range numerical weather guidance for general forecasting, as well as for the special short-term needs of aviation and severe-weather forecasting. This data set consists of 60 meteorological and soil parameters at 50 computational levels. proprietary
+NSIDC-0181_1 CLPX-Model: Land Data Assimilation System (LDAS) Data, Version 1 NSIDCV0 STAC Catalog 2001-01-01 2003-08-01 -108.5, 38.5, -104, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1386250231-NSIDCV0.umm_json The LDAS data set contains 43 model and observation-based fields produced by the LDAS uncoupled modeling system at the NASA Goddard Space Flight Center using the Mosaic Land Surface Model (LSM). proprietary
NSIDC-0194_1 AMMR Air and Brightness Temperature Data, Wakasa Bay, Version 1 NSIDCV0 STAC Catalog 2003-01-14 2003-02-03 134.0313, 30.6763, 150.3528, 41.476 https://cmr.earthdata.nasa.gov/search/concepts/C1386204122-NSIDCV0.umm_json The Wakasa Bay Field Campaign was conducted to validate rainfall algorithms developed for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). proprietary
+NSIDC-0195_1 APR-2 Dual-frequency Airborne Radar Observations, Wakasa Bay, Version 1 NSIDCV0 STAC Catalog 2003-01-14 2003-02-03 130, 30, 150, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1386204138-NSIDCV0.umm_json The Airborne Second Generation Precipitation Radar (APR-2) collected data in the Wakasa Bay AMSR-E validation campaign over the sea of Japan on board a NASA P-3 aircraft. Data were collected on all P-3 flights that encountered precipitation. proprietary
NSIDC-0201_1 Biogenic Sulfur in the Siple Dome Ice Core AMD_USAPDC STAC Catalog 2002-09-01 2003-11-30 -148.8, -81.7, -148.8, -81.7 https://cmr.earthdata.nasa.gov/search/concepts/C2532071372-AMD_USAPDC.umm_json This data set is a continuous, high-resolution record of biogenic sulfur (methanesulfonate, known as MSA and CH3SO3-) in the 1000 m deep Siple Dome A (SDMA) core, covering 100,000 to 20 years BP. The analysis was done on between August 2002 and November 2003 at the University of California, Irvine. Investigators used a mass spectrometer to measure methanesulfonate. Measurements are given as MSA concentration at various depths. Estimated age of the ice at each depth is also given. This project was a part of the West Antarctic Ice Sheet Cores (WAISCORES) project for deep ice coring in West Antarctica. WAISCORES is supported by the Office of Polar Programs, National Science Foundation (NSF). proprietary
NSIDC-0202_1 Atmospheric CO2 Trapped in the Ice Core from Siple Dome, Antarctica AMD_USAPDC STAC Catalog 2001-01-01 2003-03-01 -148.82, -81.66, -148.82, -81.66 https://cmr.earthdata.nasa.gov/search/concepts/C2532071367-AMD_USAPDC.umm_json These data are CO2 concentrations of the air occluded in Siple Dome ice core, Antarctica. The study was conducted between January 2001 and March 2003 on a deep ice core from Siple Dome Core A, located at 81.66 S, 148.82 W. proprietary
+NSIDC-0209_1 Baltic Sea Experiment (BALTEX) Ground-Based Radar Polar Volume Data, Version 1 NSIDCV0 STAC Catalog 2002-09-01 2003-05-31 18.39, 57.24, 18.39, 57.24 https://cmr.earthdata.nasa.gov/search/concepts/C1386204148-NSIDCV0.umm_json This data set includes non-Doppler polar volume reflectivity data from the Baltic Sea Experiment (BALTEX). Data were collected on Sweden's Gotland Island, using an Ericsson radar mounted at 56 m above sea level. proprietary
+NSIDC-0210_1 Double Rain Gauge Network, Iowa, Version 1 NSIDCV0 STAC Catalog 2002-06-18 2003-11-13 -91.75, 41.5, -91.5, 41.75 https://cmr.earthdata.nasa.gov/search/concepts/C1386204149-NSIDCV0.umm_json This data set includes rainfall data from 25 sites in Iowa, centered on the Iowa City Municipal Airport. proprietary
+NSIDC-0211_1 CLPX-Model: Rapid Update Cycle 40km (RUC-40) Model Output Reduced Data, Version 1 NSIDCV0 STAC Catalog 2002-10-01 2003-06-30 -108.615, 38.394, -103.971, 42.568 https://cmr.earthdata.nasa.gov/search/concepts/C1386250242-NSIDCV0.umm_json The Rapid Update Cycle, version 2 at 40km (RUC-2, known to the Cold Land Processes community as RUC40) model is a Mesoscale Analysis and Prediction System (MAPS) data set that uses the Model Output Reduced Data Set (MORDS) version. This data set has been subsetted for use in the Cold Land Processes Field Experiment (CLPX). proprietary
NSIDC-0212_1 Airborne Cloud Radar (ACR) Reflectivity, Wakasa Bay, Japan, Version 1 NSIDCV0 STAC Catalog 2003-01-14 2003-02-03 130, 30, 150, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1386204153-NSIDCV0.umm_json This data set includes 94 GHz co- and cross-polarized radar reflectivity. The Airborne Cloud Radar (ACR) sensor was mounted to a NASA P-3 aircraft flown over the Sea of Japan, the Western Pacific Ocean, and the Japanese Islands. proprietary
+NSIDC-0218_1 Greenland Ice Sheet Melt Characteristics Derived from Passive Microwave Data, Version 1 NSIDCV0 STAC Catalog 1979-04-02 2007-12-31 -73, 60, -10, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1386250243-NSIDCV0.umm_json The Greenland ice sheet melt extent data, acquired as part of the NASA Program for Arctic Regional Climate Assessment (PARCA), is a daily (or every other day, prior to August 1987) estimate of the spatial extent of wet snow on the Greenland ice sheet since 1979. It is derived from passive microwave satellite brightness temperature characteristics using the Cross-Polarized Gradient Ratio (XPGR) of Abdalati and Steffen (1997). It is physically based on the changes in microwave emission characteristics observable in data from the Scanning Multi-channel Microwave Radiometer (SMMR) and the Special Sensor Microwave/Imager (SSM/I) instruments when surface snow melts. It is not a direct measure of the snow wetness but rather is a binary indicator of the state of melt of each SMMR and SSM/I pixel on the ice sheet for each day of observation. It is, however, a useful proxy for the amount of melt that occurs on the Greenland ice sheet. The data are provided in a variety of formats including raw data in ASCII format, gridded daily data in binary format, and annual and complete time series climatologies in gridded binary and GeoTIFF format. All data are in a 60 x 109 pixel subset of the standard Northern Hemisphere polar stereographic grid with a 25 km resolution and are available via FTP. proprietary
+NSIDC-0223_1 Elevation Change of the Southern Greenland Ice Sheet from 1978-88, Version 1 NSIDCV0 STAC Catalog 1978-01-01 1988-12-31 -52, 61, -30, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1386204165-NSIDCV0.umm_json Southern Greenland ice sheet elevation change estimates are derived from SEASAT and GEOSAT radar altimetry data from 1978 to 1988. Data are confined to 61-72 deg N, 30-50 deg W, above 1700 m elevation. The addition of GEOSAT Geodetic Mission (GM) data results in twice as many crossover points and 50% greater coverage than previous studies. Coverage above 2000 m elevation is improved to 90%, and about 75% of the area between 1700 m and 2000 m is now covered. Data are in ASCII text format, available via FTP, and consist of elevation change rate (dH/dt, cm/year) and corresponding error estimates in 50 km grid cells. proprietary
NSIDC-0240_1 Antarctic Aerogeophysics Data AMD_USAPDC STAC Catalog 1994-01-01 2004-12-31 -90, -75, 90, -68.73 https://cmr.earthdata.nasa.gov/search/concepts/C2532073961-AMD_USAPDC.umm_json The data that the Support Office for Aerogeophysical Research (SOAR) provides include various aerogeophysical measurements taken in the West Antarctic Ice Shelf (WAIS) from 1994 to 2001. The instruments used in experiments include ice-penetrating radar, laser altimetry and magnetics, and an integrated aerogeophysical platform that includes airborne gravity with carrier-phase GPS to support kinematic differential positioning. SOAR is a part of the University of Texas Institute for Geophysics (UTIG) and provides several types of data associated with various campaigns over the years. This material is based on work supported by the National Science Foundation under Grants: OPP-9120464, 9319369, 9319379, and 9911617. proprietary
NSIDC-0247_1 Byrd Ice Core Microparticle and Chemistry Data AMD_USAPDC STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2532071324-AMD_USAPDC.umm_json This data set consists of microparticle and chemistry data from Byrd Ice Core, the first ice core to reach bedrock in Antarctica. The core was drilled with a cable-suspended electromechanical rotary drill at Byrd Station, Antarctica. The vertical thickness of the ice was 2164 meters and more than 99 percent of the core was recovered. Cores were sought for investigations of the physical properties of the ice sheet, the nature of the ice-rock contact, and the composition of the underlying bedrock. proprietary
NSIDC-0253_1 Antarctic and Greenland Climate Change Comparison AMD_USAPDC STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2532071287-AMD_USAPDC.umm_json This data set compares global atmospheric concentration of methane from ice cores taken on the ice sheets of Antarctica and Greenland. The data come from multiple ice cores on each continent, including Greenland Ice Core Project (GRIP) and Greenland Ice Sheet Project (GISP) ice cores and the Byrd and Vostok cores from Antarctica. proprietary
+NSIDC-0271_1 Global Monthly EASE-Grid Snow Water Equivalent Climatology, Version 1 NSIDCV0 STAC Catalog 1978-01-01 2007-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386250252-NSIDCV0.umm_json This data set comprises global, monthly satellite-derived Snow Water Equivalent (SWE) climatologies from November 1978 through May 2007, with periodic updates released as resources permit. Global data are gridded to the Northern and Southern 25 km Equal-Area Scalable Earth Grids (EASE-Grids). Global snow water equivalent is derived from Scanning Multichannel Microwave Radiometer (SMMR) and selected Special Sensor Microwave/Imagers (SSM/I). Northern Hemisphere data are enhanced with snow cover frequencies derived from the Northern Hemisphere EASE-Grid Weekly Snow Cover and Sea Ice Extent Version 2 data (these data were not produced for the Southern Hemisphere). The data are binary data files and PNG images, and are available via HTTPS. proprietary
+NSIDC-0272_1 GLIMS Glacier Database, Version 1 NSIDCV0 STAC Catalog 1850-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386250255-NSIDCV0.umm_json Global Land Ice Measurements from Space (GLIMS) is an international initiative with the goal of repeatedly surveying the world's estimated 200,000 glaciers. GLIMS uses data collected by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument aboard the Terra satellite and the LANDSAT series of satellites, along with historical observations. The GLIMS initiative has created a unique glacier inventory, storing information about the extent and rates of change of all the world's mountain glaciers and ice caps. The GLIMS Glacier Database was built up from data contributions from many glaciological institutions, which are managed by Regional Coordinators, who coordinate the production of glacier mapping results for their particular region. The GLIMS Glacier Database provides students, educators, scientists, and the public with reliable glacier data from these analyses. New glacier data are continually being added to the database. The GLIMS Glacier Viewer was developed to provide the public with easy access to the GLIMS Glacier Database. This Web application allows users to view and query several thematic layers, including glacier outlines, Regional Coordinator institution locations, the World Glacier Inventory, and more. GLIMS data can be downloaded into a number of GIS-compatible formats, including ESRI Shapefiles, MapInfo tables, Geographic Mark-up Language (GML), and Keyhole Mark-up Language (KML) suitable for viewing in Google Earth. proprietary
NSIDC-0279_1 Analysis of Siple Dome Ice Core: Carbonyl Sulfide (COS), Methyl Chloride (CH3Cl), and Methyl Bromide (CH3Br) AMD_USAPDC STAC Catalog 1970-01-01 -148.81, -81.65, -148.81, -81.65 https://cmr.earthdata.nasa.gov/search/concepts/C2532071202-AMD_USAPDC.umm_json This data set is part of the WAISCORES (West Antarctic Ice Sheet cores) project, research funded by the National Science Foundation (NSF) and designed to improve understanding of how the West Antarctic ice sheet influences climate and sea level change. WAISCORES investigators acquired and analyzed ice cores from the Siple Dome, in the Siple Coast region, West Antarctica. These data provide researchers with a record of natural climatic variability and anthropogenic influence on biogeochemical cycles. Because ice cores contain an archive of preindustrial air, a baseline can be established, and the extent of human impact on the climate can be ascertained. This data set includes mixing ratios of carbonyl sulfide (COS), methyl chloride (CH3Cl), and methyl bromide (CH3Br). Data samples were retrieved from the Siple C ice core, which was drilled at 81.65� S, 148.81� W in December 1995. The core site sits 620 m above sea level near the edge of the Ross Ice Shelf where there is a mean annual temperature of -25.4 �C. Data are available via FTP. proprietary
NSIDC-0281_1 Atmospheric Nitrate Isotopic Analysis at Amundsen-Scott South Pole Station, A Twenty-Five Year Record AMD_USAPDC STAC Catalog 2003-12-01 2004-12-31 139.2728, -89.9975, 139.2728, -89.9975 https://cmr.earthdata.nasa.gov/search/concepts/C2532071195-AMD_USAPDC.umm_json This data set contains snow pit measurements of oxygen isotopes, 17O and 18O, in nitrate and ion concentrations, and surface measurements of oxygen isotopes in nitrate and in nitrate aerosols from the Amundsen-Scott South Pole Station, Antarctica. The 6-meter snow pit provides investigators with a 25-year record of nitrate isotope variations and ion concentrations for a period spanning from 1979 to 2004. Monthly surface snow and weekly aerosol collections yield a year-long record of nitrate isotopic composition starting 01 December 2003 and ending 31 December 2004. Little is known about the past denitrification of the stratosphere in high latitude regions. Such knowledge is important to understanding the chemical state of the ancient atmospheres and evaluating the present climate models. With this research, investigators aim to understand the denitrification of the Antarctic stratosphere and quantify the sources of nitrate aerosols over time. Data are in Microsoft Excel format and are available via FTP. proprietary
NSIDC-0283_1 AWS Data: Characteristics of Snow Megadunes and Their Potential Effect on Ice Core Interpretation AMD_USAPDC STAC Catalog 2004-01-16 2004-11-17 124.4345, -80.79008, 124.52668, -80.77546 https://cmr.earthdata.nasa.gov/search/concepts/C2532071185-AMD_USAPDC.umm_json The Antarctic megadune research was conducted during two field seasons, one in November 2002 and the other during the period of December 2003 through January 2004. The megadune field site is located on the East Antarctic Plateau, southeast of Vostok station. The objectives of this multi-facetted research are 1) to determine the physical characteristics of the firn across the dunes including typical climate indicators such as stable isotopes and major chemical species and 2) to install instruments to measure the time variation of near-surface wind and temperature with depth, to test and refine hypotheses for megadune formation. It is important to improve our current understanding of the megadunes because of their extreme nature, their broad extent, and their potential impact on the climate record. Megadunes are a manifestation of an extreme terrestrial climate and may provide insight on the past terrestrial climate or on processes active on other planets. Snow megadunes are undulating variations in accumulation and surface texture with wavelengths of 2 to 5 km and amplitudes up to 5 meters. The features cover 500,000 km2 of the East Antarctic plateau, occurring in areas of moderate regional slope and low accumulation on the flanks of the ice sheet between 2500 and 3800 meters elevation. Landsat images and aerial photography indicate the dunes consist of alternating surfaces of glaze and rough sastrugi, with gradational boundaries. This pattern is oriented perpendicular to the mean wind direction, as modeled in katabatic wind studies. Glazed surfaces cover the leeward faces and troughs; rough sastrugi cover the windward faces and crests. The megadune pattern is crossed by smooth to eroded wind-parallel longitudinal dunes. Wind-eroded longitudinal dunes form spectacular 1-meter-high sastrugi in nearby areas. This data set contains automated weather station (AWS) data from two sites. The Mac site was oriented on the rough sastrugi-covered windward face and the Zoe site was on the glazed leeward face. The AWSs collected data throughout the year from 16 January 2004 to 17 November 2004. Investigators received data from the two field sites via the ARGOS Satellite System (http://www.argosinc.com/). Data are provided in space-delimited ASCII text format and are available via FTP. proprietary
+NSIDC-0291_1 CLPX NCAR Data Analysis and Numerical Modeling, Version 1 NSIDCV0 STAC Catalog 2001-10-01 2003-06-30 -108.5, 38.5, -104, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1386250297-NSIDCV0.umm_json This data set consists of three-dimensional meteorological analyses for the entire cold season 2002-2003 for the three CLPX Meteorological Study Areas (MSAs) in northern Colorado (North Park, Fraser and Rabbit Ears) using high-resolution (500 m horizontal grid spacing). proprietary
NSIDC-0301_1 AMSR-E/Aqua Daily EASE-Grid Brightness Temperatures, Version 1 NSIDCV0 STAC Catalog 2002-06-19 2011-09-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386204218-NSIDCV0.umm_json The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA EOS Aqua satellite provides global passive microwave measurements of the Earth. NSIDC produces AMSR-E gridded brightness temperature data by interpolating AMSR-E data (6.9 GHz, 10.7 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz, and 89.0 GHz) to the output grids from swath space using an Inverse Distance Squared (ID2) method. AMSR-E/Aqua L2A Global Swath Spatially-Resampled Brightness Temperatures (AE_L2A) input source data are used. These data are provided in three EASE-Grid projections (north and south Lambert azimuthal and global cylindrical) at 25 km resolution, and in one global cylindrical, equidistant latitude-longitude projection at 0.25 degree (quarter-degree) resolution. proprietary
NSIDC-0302_1 AMSR-E/Aqua Daily Global Quarter-Degree Gridded Brightness Temperatures, Version 1 NSIDCV0 STAC Catalog 2002-06-19 2011-09-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386204219-NSIDCV0.umm_json The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA EOS Aqua satellite provides global passive microwave measurements of the Earth. NSIDC produces AMSR-E gridded brightness temperature data by interpolating AMSR-E data (6.9 GHz, 10.7 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz, and 89.0 GHz) to the output grids from swath space using an inverse-distance squared method. AMSR-E/Aqua L2A Global Swath Spatially-Resampled Brightness Temperatures (AE_L2A) input source data are used to create the gridded brightness temperature data. proprietary
+NSIDC-0304_1 GLAS/ICESat 500 m Laser Altimetry Digital Elevation Model of Antarctica, Version 1 NSIDCV0 STAC Catalog 2003-02-01 2005-06-30 -180, -86, 180, -63 https://cmr.earthdata.nasa.gov/search/concepts/C1386204222-NSIDCV0.umm_json The Geoscience Laser Altimeter System (GLAS) instrument on the Ice, Cloud, and land Elevation Satellite (ICESat) provides global measurements of elevation, and repeats measurements along nearly-identical tracks; its primary mission is to measure changes in ice volume (mass balance) over time. This digital elevation model (DEM) of Antarctica is derived from GLAS/ICESat laser altimetry profile data and provides new surface elevation grids of the ice sheets and coastal areas, with greater latitudinal extent and fewer slope-related effects than radar altimetry. This DEM is generated from the first seven operational periods (from February 2003 through June 2005) of the GLAS instrument. It is provided on polar stereographic grids at 500 m grid spacing. The grid covers all of Antarctica north of 86° S. Elevations are reported as centimeters above the datums, relative to both the WGS 84 ellipsoid and the EGM96 geoid, in two separate elevation data files. A data quality map of the interpolation distance is distributed in addition to the elevation data. ENVI header files are also provided. The data are in 4-byte (long) signed integer binary files (big endian byte order) and are available via FTP. proprietary
+NSIDC-0305_1 GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland, Version 1 NSIDCV0 STAC Catalog 2003-02-01 2005-06-30 -73, 60, -11, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1386204224-NSIDCV0.umm_json The Geoscience Laser Altimeter System (GLAS) instrument on the Ice, Cloud, and land Elevation Satellite (ICESat) provides global measurements of elevation, and repeats measurements along nearly-identical tracks; its primary mission is to measure changes in ice volume (mass balance) over time. This digital elevation model (DEM) of Greenland is derived from GLAS/ICESat laser altimetry profile data and provides new surface elevation grids of the ice sheets and coastal areas, with greater latitudinal extent and fewer slope-related effects than radar altimetry. This DEM is generated from the first seven operational periods (from February 2003 through June 2005) of the GLAS instrument. It is provided on polar stereographic grids at 1 km grid spacing. The grid covers all of Greenland south of 83° N. Elevations are reported as centimeters above the datums, relative to both the WGS 84 ellipsoid and the EGM96 geoid, in two separate elevation data files. A data quality map of the interpolation distance is distributed in addition to the elevation data. ENVI header files are also provided. The data are in 4-byte (long) signed integer binary files (big endian byte order) and are available via FTP. proprietary
NSIDC-0310_1 Carbon-13 Isotopic Composition of Atmospheric Methane in Firn Air, South Pole and Siple Dome, Antarctica AMD_USAPDC STAC Catalog 1995-01-01 2001-01-31 -148.3023, -81.403, -148.3023, -81.403 https://cmr.earthdata.nasa.gov/search/concepts/C2532071168-AMD_USAPDC.umm_json This data set includes records of the delta carbon-13 (δ13C) of methane (CH4) in firn air from the South Pole and trapped in bubbles in a short ice core from Siple Dome, Antarctica. Using two firn air samples, one from January 1995 and the other from January 2001, investigators reconstructed records of the isotopic composition of paleoatmospheric methane covering the last 2 centuries, from 1820 to 2001. Data are in Microsoft Excel and Microsoft Word formats and are available via FTP. proprietary
NSIDC-0312_1 Amundsen Sea Sector Data Set AMD_USAPDC STAC Catalog 2004-12-21 2005-03-21 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532071161-AMD_USAPDC.umm_json This data set includes a nested model, that starts at low resolution for the whole Antarctic Ice Sheet, and then embeds higher resolution data at limited domains. There are at least three levels of nesting: whole, regional, and specific ice streams. Investigators focused on the Thwaites Glacier and the Pine Island Glacier. The model was produced using data from (Holt et al. 2006) and (Vaughan et al. 2006). Data are in Network Common Data Form (NetCDF) format and are available via FTP. proprietary
NSIDC-0313_1 Antarctic Ice Cores: Methyl Chloride and Methyl Bromide AMD_USAPDC STAC Catalog 1970-01-01 -144.39, -89.93, -144.39, -89.93 https://cmr.earthdata.nasa.gov/search/concepts/C2532071158-AMD_USAPDC.umm_json This data set is an analysis of methyl chloride (CH3Cl) and methyl bromide (CH3Br) in Antarctic ice core samples. Investigators reported mixing ratios of methyl chloride gas extracted from samples taken from the South Pole Remote Earth Science and Seismological Observatory (SPRESSO) core, drilled as part of the International Trans Antarctic Science Expedition (ITASE). This data covers an age range of 2159 - 140 years before present (Y.B.P.) where the year 2000 was used as present. Investigators analyzed trace gases in ice core samples from Siple Dome, West Antarctica (dry-drilled C core and deep, fluid-drilled A core) and from South Pole, Antarctica (300 m dry drilled SPRESSO core). Data are available in Microsoft Excel format and are available via FTP. proprietary
NSIDC-0314_1 Atmospheric CO2 and Climate: Byrd Ice Core, Antarctica AMD_USAPDC STAC Catalog 1970-01-01 -119.833611, -80.01, -119.833611, -80.01 https://cmr.earthdata.nasa.gov/search/concepts/C2532071152-AMD_USAPDC.umm_json Reconstructions of ancient atmospheric CO2 variations help us better understand how the global carbon cycle and climate are linked. This data set compares CO2 variations on millennial time scales between 20,000 and 90,000 years with an Antarctic temperature proxy and records of abrupt climate change in the Northern hemisphere. proprietary
NSIDC-0315_1 Atmospheric CO2 and Climate: Taylor Dome Ice Core, Antarctica AMD_USAPDC STAC Catalog 1970-01-01 158, -77.666667, 158, -77.666667 https://cmr.earthdata.nasa.gov/search/concepts/C2532070838-AMD_USAPDC.umm_json Using new and existing ice core CO2 data from 65 - 30 ka BP a new chronology for Taylor Dome ice core CO2 is established and synchronized with Greenland ice core records to study how high latitude climate change and the carbon cycle were linked during the last glacial period. The new data and chronology should provide a better target for models attempting to explain CO2 variability and abrupt climate change. proprietary
NSIDC-0318_1 Antarctic Mean Annual Temperature Map AMD_USAPDC STAC Catalog 1957-01-01 2003-12-31 -180, -90, 180, -65 https://cmr.earthdata.nasa.gov/search/concepts/C2532070844-AMD_USAPDC.umm_json The Mean Annual Temperature map was calculated by creating a contour map using compiled 10 meter firn temperature data from NSIDC and other mean annual temperature data from both cores and stations. The 10 meter data contains temperature measurements dating back to 1957 and the International Geophysical Year, including measurements from several major recent surveys. Data cover the entire continental ice sheet and several ice shelves, but coverage density is generally low. Data are stored in Microsoft Excel and Tagged Image File Format (TIFF), and are available sporadically from 1957 to 2003 via FTP. proprietary
+NSIDC-0321_1 Global EASE-Grid 8-day Blended SSM/I and MODIS Snow Cover, Version 1 NSIDCV0 STAC Catalog 2000-03-05 2008-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386250333-NSIDCV0.umm_json This data set comprises global, 8-day Snow-Covered Area (SCA) and Snow Water Equivalent (SWE) data from 2000 through 2008. Global SWE data are derived from the Special Sensor Microwave Imager (SSM/I) and are enhanced with MODIS/Terra Snow Cover 8-Day Level 3 Global 0.05 degree Climate Modeling Grid (CMG) data. Global data are gridded to the Northern and Southern 25 km Equal-Area Scalable Earth Grids (EASE-Grids). These data are suitable for continental-scale time-series studies of snow cover and snow water equivalent. proprietary
NSIDC-0326_1 Ablation Rates of Taylor Glacier, Antarctica AMD_USAPDC STAC Catalog 2002-11-19 2011-01-12 160.1, -77.9, 162.2, -77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2532070867-AMD_USAPDC.umm_json This data set provides glacier surface ablation rates for a network of approximately 250 sites on Taylor Glacier, spanning a period from 2003 to 2011. Here sublimation is the dominant ablation mechanism, though a few sites have accumulation. Ablation data are provided in meters water equivalent per year. Data are available via FTP in space-delimited ASCII format. proprietary
NSIDC-0334_1 Airborne Laser Altimetry of the Thwaites Glacier Catchment, West Antarctica AMD_USAPDC STAC Catalog 2004-12-10 2005-01-29 -130, -80, -95, -75 https://cmr.earthdata.nasa.gov/search/concepts/C2532070878-AMD_USAPDC.umm_json This data set includes airborne altimetry collected over the catchment and main trunk of Thwaites Glacier, one of Antarctica's most active ice streams. The airborne altimetry comprises 35,000 line-kilometers sampled at 20 meters along track. The full dataset has an internal error of �20 cm; a primary subset has an error of �8 cm. We find a +20 cm bias with Geoscience Laser Altimeter System data over a flat interior region. These data will serve as an additional temporal reference for the evolution of Thwaites Glacier surface, as well as aid the construction of future high resolution Digital Elevation Models (DEM). Line data are available in space-delimited ASCII format and are available via FTP. proprietary
NSIDC-0336_1 Antarctic Subglacial Lake Classification Inventory AMD_USAPDC STAC Catalog 1998-12-01 2001-02-28 -160, -90, 15, -70 https://cmr.earthdata.nasa.gov/search/concepts/C2532070882-AMD_USAPDC.umm_json This data set is an Antarctic radar-based subglacial lake classification collection, which focuses on the radar reflection properties of each given lake. The Subglacial lakes are separated into four categories specified by radar reflection properties. Additional information includes: latitude, longitude, length (in kilometers), hydro-potential (in meters), bed elevation (in meters above WGS84), and ice thickness (in meters). Source data used to compile this data set were collected between 1998 and 2001. Data are available via FTP as a Microsoft Excel Spreadsheet (XLS), and Tagged Image File Format (TIF). proprietary
+NSIDC-0393_1 Arctic Sea Ice Freeboard and Thickness, Version 1 NSIDCV0 STAC Catalog 2003-02-20 2008-10-19 -180, 65, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1386250451-NSIDCV0.umm_json This data set provides measurements of sea ice freeboard and sea ice thickness for the Arctic region. The data were derived from measurements made by from the Ice, Cloud, and land Elevation Satellite (ICESat) Geoscience Laser Altimeter System (GLAS) instrument, the Special Sensor Microwave/Imager (SSM/I), and climatologies of snow and drift of ice. proprietary
NSIDC-0394_1 Atmospheric Mixing Ratios of Hydroperoxides above the West Antarctic Ice Sheet AMD_USAPDC STAC Catalog 2000-11-20 2003-01-15 -124, -90, -84, -76 https://cmr.earthdata.nasa.gov/search/concepts/C2532071044-AMD_USAPDC.umm_json This data set contains atmospheric mixing ratios of hydrogen peroxide and methylhydroperoxide at 21 sites on the West Antarctic Ice Sheet (WAIS) were obtained from 2000 to 2003 during the US International Trans-Antarctic Scientific Expedition (US ITASE) deployments. Sample location from the WAIS region (76-90�S / 84-124�W) were approximately 100-300 km apart and correspond to US ITASE ice core sites. At each site, ambient air from 1 m above the snow surface was sampled between two to five days. Atmospheric hydroperoxides (ROOH) were continuously scrubbed from the sample air with a glass coil scrubber and subsequently quantified using a fluorescence detection method. Data are available via FTP as ASCII text files (.txt). proprietary
NSIDC-0414_1 Antarctic Radar Echograms and Derived Ice Thickness Data from CReSIS AMD_USAPDC STAC Catalog 2002-11-26 2004-11-29 -110, -77, -60, -62 https://cmr.earthdata.nasa.gov/search/concepts/C2532071137-AMD_USAPDC.umm_json The Center for Remote Sensing of Ice Sheets (CReSIS) data from the 2002 and 2006 Flight missions. Basic Processing has been done to obtain the radar echograms and derived ice thickness data. Algorithms are being developed to reduce the multiples to obtain accurate measurement of ice sheet thickness over some areas. Data are available in Matlab (.mat) and Adobe .pdf formats. proprietary
+NSIDC-0422_1 Antarctic 1 km Digital Elevation Model (DEM) from Combined ERS-1 Radar and ICESat Laser Satellite Altimetry, Version 1 NSIDCV0 STAC Catalog 1994-03-01 2008-03-21 -180, -86, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1386250461-NSIDCV0.umm_json This data set provides a 1 km resolution Digital Elevation Model (DEM) of Antarctica. The DEM combines measurements from the European Remote Sensing Satellite-1 (ERS-1) Satellite Radar Altimeter (SRA) and the Ice, Cloud, and land Elevation Satellite (ICESat) Geosciences Laser Altimeter System (GLAS). The ERS-1 data are from two long repeat cycles of 168 days initiated in March 1994, and the GLAS data are from 20 February 2003 through 21 March 2008. The data set is approximately 240 MB comprised of two gridded binary files and two Environment for Visualizing Images (ENVI) header files viewable using ENVI or other similar software packages. The data are available via FTP. proprietary
+NSIDC-0424_1 AMSRIce03 Snow Depth Data, Version 1 NSIDCV0 STAC Catalog 2003-03-04 2003-03-19 -156.4, 71.18, -147.5, 72.95 https://cmr.earthdata.nasa.gov/search/concepts/C1386205135-NSIDCV0.umm_json Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains snow depth measurements collected over sea ice in the Barrow, Alaska area and at the Navy Ice Camp in the main pack ice of the Arctic Ocean as part of the joint in situ and aircraft AMSRIce03 campaign. proprietary
NSIDC-0426_1 AMSRIce03 Sea Ice Thickness Data, Version 1 NSIDCV0 STAC Catalog 2003-03-09 2003-03-21 -156.4, 71.18, -147.5, 72.95 https://cmr.earthdata.nasa.gov/search/concepts/C1386205138-NSIDCV0.umm_json Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains ice thickness measurements collected over sea ice in the Barrow, Alaska area and at the Navy Ice Camp in the main pack ice of the Arctic Ocean as part of the joint in situ and aircraft AMSRIce03 campaign conducted in March 2003. proprietary
+NSIDC-0427_1 AMSRIce03 Surface Roughness Data, Version 1 NSIDCV0 STAC Catalog 2003-03-16 2003-03-16 -156.4, 71.18, -156.15, 71.28 https://cmr.earthdata.nasa.gov/search/concepts/C1386205139-NSIDCV0.umm_json Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains surface roughness measurements collected over sea ice in the Barrow, Alaska USA area as part the joint in situ and aircraft AMSRIce03 campaign. proprietary
+NSIDC-0428_1 AMSRIce03 Snow Ice Temperature Data, Version 1 NSIDCV0 STAC Catalog 2003-03-13 2003-03-20 -156.4, 71.18, -156.15, 71.28 https://cmr.earthdata.nasa.gov/search/concepts/C1386205140-NSIDCV0.umm_json Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains snow ice temperature measurements collected over sea ice in the Barrow, Alaska USA area as part of the joint in situ and aircraft AMSRIce03 campaign. proprietary
+NSIDC-0429_1 AMSRIce03 Snow Pit Data, Version 1 NSIDCV0 STAC Catalog 2003-03-03 2003-03-23 -156.4, 71.18, -147.5, 72.95 https://cmr.earthdata.nasa.gov/search/concepts/C1386205141-NSIDCV0.umm_json Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains snow pit data collected over sea ice in the Barrow, Alaska, USA area and nearby at the Navy Ice Camp in the main pack ice of the Arctic Ocean. proprietary
NSIDC-0430_1 AMSRIce03 Photomosaics, Version 1 NSIDCV0 STAC Catalog 2003-03-07 2003-03-11 -156.4, 71.18, -156.15, 71.28 https://cmr.earthdata.nasa.gov/search/concepts/C1386205142-NSIDCV0.umm_json Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains photographic mosaics of sea ice in the Barrow, Alaska USA area as part of the joint in situ and aircraft AMSRIce03. proprietary
NSIDC-0431_1 AMSRIce03 Landsat-7 ETM+ Imagery, Version 1 NSIDCV0 STAC Catalog 2003-03-13 2003-03-22 -175, 58, -145, 74 https://cmr.earthdata.nasa.gov/search/concepts/C1386250481-NSIDCV0.umm_json This data set contains Landsat-7 Enhanced Thematic Mapper Plus (ETM+) satellite imagery of the Bering Sea and Chukchi Sea areas to complement the joint in situ and aircraft Advanced Microwave Scanning Radiometer Sea Ice Product Validation (AMSRIce03) campaign. proprietary
NSIDC-0432_1 AMSRIce03 MODIS Imagery, Version 1 NSIDCV0 STAC Catalog 2003-03-13 2003-03-22 -175.63, 40.94, -103.35, 86.6 https://cmr.earthdata.nasa.gov/search/concepts/C1386205149-NSIDCV0.umm_json This data set contains Moderate Resolution Imaging Spectroradiometer (MODIS) imagery of the Alaska, USA area, complementing the joint in situ and aircraft Advanced Microwave Scanning Radiometer Sea Ice Product Validation (AMSRIce03) campaign. proprietary
+NSIDC-0437_1 Greenland Climate Network (GC-Net) Radiation for Arctic System Reanalysis, Version 1 NSIDCV0 STAC Catalog 1995-01-01 2008-05-09 -61.09, 63.15, -42.5, 80.75 https://cmr.earthdata.nasa.gov/search/concepts/C1386205153-NSIDCV0.umm_json This data set provides incoming shortwave radiation measurements from fourteen stations of the Greenland Climate Network (GC-Net) distributed over the Greenland Ice Sheet. The original data were obtained from the GC-Net and subsequently quality controlled. The data span from 01 January 1995 through 09 May 2008. The data set is approximately 15 MB comprised of fourteen Network Common Data Form (netCDF) files. The data are available via FTP. proprietary
+NSIDC-0447_1 Canadian Meteorological Centre (CMC) Daily Snow Depth Analysis Data, Version 1 NSIDCV0 STAC Catalog 1998-08-01 2020-12-31 -180, 0, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386205170-NSIDCV0.umm_json This data set consists of a Northern Hemisphere subset of the Canadian Meteorological Centre (CMC) operational global daily snow depth analysis. Data include daily analyzed snow depths, as well as monthly means and climatologies of snow depth and estimated snow water equivalent (SWE). proprietary
+NSIDC-0450_1 Co-Registered AMSR-E, QuikSCAT, and WMO Data, Version 1 NSIDCV0 STAC Catalog 2002-01-01 2009-12-31 -179.83301, 30.667, 180, 79.55 https://cmr.earthdata.nasa.gov/search/concepts/C1386250555-NSIDCV0.umm_json Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains the following spatially and temporally co-registered data: Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) brightness temperatures for all channels; Quick Scatterometer (QuikSCAT) backscattering coefficients; and World Meteorological Organization (WMO) ground observations acquired from more than two thousand stations. There is a large, increasing interest in the potential arising from the combination of active and passive microwave data for the extraction of geophysical parameters from spaceborne platforms. Often, one of the major obstacles is the generation of spatially and temporally co-registered data sets for testing hypotheses, validating models, and developing retrieval approaches. The temporal coverage of this data set spans from 01 January 2002 through 19 March 2009 with AMSR-E data included for the 19 June 2002 through 19 March 2009 time period. The volume of the data set is approximately two gigabytes. Data are provided in tab-delimited ASCII text files and are available via FTP. proprietary
+NSIDC-0451_3 Daily Global Land Parameters Derived from AMSR-E and AMSR2, Version 3 NSIDCV0 STAC Catalog 2002-06-19 2021-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2101849384-NSIDCV0.umm_json This data set contains satellite-retrieved geophysical parameter files generated from the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the National Aeronautics and Space Administration (NASA) Aqua satellite and the Advanced Microwave Scanning Radiometer 2 (AMSR2) sensor on the JAXA GCOM-W1 satellite. The geophysical parameters include daily air surface temperature, fractional open water cover estimates, vegetation optical depth, surface volumetric soil moisture, and atmosphere total column precipitable water vapor. The global retrievals were derived over land for non-precipitating, non-snow, and non-ice covered conditions. proprietary
+NSIDC-0459_1 AMSRIce06 Aerial Photographs, Version 1 NSIDCV0 STAC Catalog 2006-03-18 2006-03-25 -168.30655, 64.81921, -147.86187, 76.87383 https://cmr.earthdata.nasa.gov/search/concepts/C1386205191-NSIDCV0.umm_json Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains photographs of sea ice in the Chukchi and Beaufort Seas of the Arctic Ocean, and of snow cover off the northern coast of Alaska, USA. Photographs were taken from a P3 aircraft using two Kodak digital DC4800 cameras. proprietary
+NSIDC-0461_1 AMSRIce06 Airborne Topographic Mapper (ATM) Lidar Data, Version 1 NSIDCV0 STAC Catalog 2006-03-21 2006-03-25 -166.1468, 64.8929, -148.2055, 71.9577 https://cmr.earthdata.nasa.gov/search/concepts/C1386205193-NSIDCV0.umm_json Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains Lidar measurements of sea ice in the Chukchi and Beaufort Seas of the Arctic Ocean, and of snow cover off the northern coast of Alaska, USA. The Lidar data were obtained by the Airborne Topographic Mapper (ATM) instrument mounted on a P3 aircraft. proprietary
NSIDC-0466_1 Climate, Drift, and Image Data from Antarctic Icebergs A22A and UK211, 2006-2007 AMD_USAPDC STAC Catalog 2006-03-05 2007-01-15 -60, -80, -15, -47 https://cmr.earthdata.nasa.gov/search/concepts/C2532071110-AMD_USAPDC.umm_json This data set includes a variety of station data from two Antarctic icebergs. In 2006, researchers installed specialized weather stations called Automated Meteorological Ice Geophysical Observing Stations (AMIGOS) on two icebergs, A22A and UK211 (nicknamed Amigosberg), near Marambio Station in Antarctica.The AMIGOS stations were outfitted with Global Positioning System (GPS) sensors, cameras, and an electronic thermometer. They collected data from their installation in March 2006 until the icebergs crumbled into the ocean, in 2006 (Amigosberg) and 2007 (A22A). Available data include GPS, temperature and ablation measurements, and photographs of the station base and of flag lines extending out to the edges of the icebergs. Snow pit data from iceberg A22A is also included. This data set was collected as part of a National Science Foundation Office of Polar Programs Special Grant for Exploratory Research, to explore the possibility of using drfting icebergs to investigate ice shelf evolution caused by climate change. The expedition, nicknamed IceTrek, was conducted jointly with Argentine scientists. The data are available via FTP in ASCII text (.txt) and Joint Photographic Experts Group (.jpg) formats. proprietary
NSIDC-0468_1 Borehole Optical Stratigraphy Modeling, Antarctica AMD_USAPDC STAC Catalog 2005-02-01 2010-04-01 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532071116-AMD_USAPDC.umm_json This data set consists of scripts and code designed for modeling the properties of boreholes in polar ice sheets, under a range of variations in the borehole geometry, firn layering, and camera pointing and position. The data set contains two folders. One includes two perl scripts and a piece of C code, along with directions for setting up and running a Monte Carlo model of photons traveling to and from a borehole in the firn. The second includes scripts for generating ray-tracing input files to be used with the POV-Ray package (a standard, free raytracing package) to generate simulated borehole video frames based on the results of the Monte Carlo model. The project was conducted between February 2005 and April 2010. The codes to run the models are available via FTP, in Perlscript (.pl) and C code. proprietary
NSIDC-0477_5 MEaSUREs Global Record of Daily Landscape Freeze/Thaw Status V005 NSIDC_ECS STAC Catalog 1979-01-01 2021-12-31 -179.9999, -86.7167, 179.9999, 86.7167 https://cmr.earthdata.nasa.gov/search/concepts/C2137003017-NSIDC_ECS.umm_json This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains a global record of the daily freeze/thaw status of the landscape. The record is derived from radiometric brightness temperatures acquired between 1979 and 2021 by four satellite-based, passive microwave sensors: the Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave/Imager (SSM/I), the Special Sensor Microwave Imager/Sounder (SSMIS), and the Advanced Microwave Scanning Radiometer 2 (AMSR2). proprietary
@@ -11099,44 +11227,63 @@ NSIDC-0547_2 MEaSUREs MODIS Mosaic of Greenland (MOG) 2005, 2010, and 2015 Image
NSIDC-0599_1 Carbonyl Sulfide Measurements in the Taylor Dome M3C1 Ice Core AMD_USAPDC STAC Catalog 2008-01-01 2012-12-31 157.4, -77.4, 157.4, -77.4 https://cmr.earthdata.nasa.gov/search/concepts/C2532071645-AMD_USAPDC.umm_json The data set includes carbonyl sulfide (COS) measurements made on air extracted from 53 samples from the Taylor Dome M3C1 ice core. COS was measured in air from the Taylor Dome ice core to reconstruct an atmospheric record for the Holocene (11-0 kyr B.P.) and part of the last glacial period (50-30 kyr B.P.). proprietary
NSIDC-0603_1 Average Annual Layer Thickness of the WAIS Divide Ice Core from Visual Stratigraphy AMD_USAPDC STAC Catalog 2005-01-01 -112.0865, -79.4676, -112.0865, -79.4676 https://cmr.earthdata.nasa.gov/search/concepts/C2532071604-AMD_USAPDC.umm_json This data set includes ~50 m averaged annual layer thicknesses down to 3403 m depth at the West Antarctic Ice Sheet (WAIS) Divide ice core as observed visually using diffuse transmitted light opposite a planed surface in a light-shielded booth in the core-processing line at the National Ice Core Lab in Denver, CO. proprietary
NSIDC-0605_1 C-axis Fabric from Physical Properties Samples of the WAIS Divide Ice Core AMD_USAPDC STAC Catalog 2011-08-01 2014-10-01 -112.085, -79.467, -112.085, -79.467 https://cmr.earthdata.nasa.gov/search/concepts/C2532071576-AMD_USAPDC.umm_json This data set contains c-axis fabric measurements and grain area from the physical properties samples taken from the main West Antarctic Ice Sheet (WAIS) Divide ice core, WDC06A , Antarctica. proprietary
+NSIDC-0607_1 EASE-Grid Land-Ocean-Coastline-Ice Masks Derived from Boston University MODIS/Terra Land Cover Data, Version 1 NSIDCV0 STAC Catalog 2000-07-01 2000-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386205661-NSIDCV0.umm_json These Land-Ocean-Coastline-Ice (LOCI) files provide land classification masks derived from the Boston University MOD12Q1 V004 MODIS/Terra 1 km Land Cover Product (Friedl et al. 2002). The masks are available in various EASE-Grid azimuthal and global projections, at 12.5 km and 25 km spatial resolutions. The masks are in flat binary, 1 byte files stored by row. Quick-look browse images of the masks are also available in PNG (.png) format. proprietary
+NSIDC-0608_1 EASE-Grid Land Cover Classifications Derived from Boston University MODIS/Terra Land Cover Data, Version 1 NSIDCV0 STAC Catalog 2000-07-01 2000-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386205662-NSIDCV0.umm_json These data provide land cover classifications derived from the Boston University MOD12Q1 V004 MODIS/Terra 1 km Land Cover Product (Friedl et al. 2002). The data are available in various EASE-Grid azimuthal and global projections, in 12.5 km and 25 km spatial resolutions. The data are in flat binary, 1 byte files that are stored by row. proprietary
+NSIDC-0609_1 EASE-Grid 2.0 Land-Ocean-Coastline-Ice Masks Derived from Boston University MODIS/Terra Land Cover Data, Version 1 NSIDCV0 STAC Catalog 2000-07-01 2000-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386205663-NSIDCV0.umm_json These Land-Ocean-Coastline-Ice (LOCI) files provide land classification masks derived from the Boston University MOD12Q1 V004 MODIS/Terra 1 km Land Cover Product (Friedl et al. 2002). The masks are available in various EASE-Grid 2.0 azimuthal and global projections, at various spatial resolutions ranging from 3 km to 100 km. The masks are in flat binary, 1 byte files stored by row. Quick-look browse images of the masks are also available in PNG (.png) format. proprietary
+NSIDC-0610_1 EASE-Grid 2.0 Land Cover Classifications Derived from Boston University MODIS/Terra Land Cover Data, Version 1 NSIDCV0 STAC Catalog 2000-07-01 2000-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386205664-NSIDCV0.umm_json These data provide land cover classifications derived from the Boston University MOD12Q1 V004 MODIS/Terra 1 km Land Cover Product (Friedl et al. 2002). The data are available in various EASE-Grid 2.0 azimuthal and global projections, in multiple spatial resolutions ranging from 3 km to 100 km. The data are in flat binary, 1 byte files that are stored by row. proprietary
+NSIDC-0611_4 EASE-Grid Sea Ice Age, Version 4 NSIDCV0 STAC Catalog 1984-01-01 2022-12-31 -180, 29.7, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1599727713-NSIDCV0.umm_json This data set provides weekly estimates of sea ice age for the Arctic Ocean derived from remotely sensed sea ice motion and sea ice extent. For more recent data, see the Quicklook Arctic Weekly EASE-Grid Sea Ice Age data product (https://nsidc.org/data/nsidc-0749). proprietary
NSIDC-0627_1 Borehole Temperatures at Pine Island Glacier, Antarctica AMD_USAPDC STAC Catalog 2012-12-20 2013-05-10 -100.5, -75.1, -100.5, -75.1 https://cmr.earthdata.nasa.gov/search/concepts/C2532070657-AMD_USAPDC.umm_json This data set is a time series of borehole temperatures at different depths from three thermistor strings deployed in three boreholes drilled through the Pine Island Glacier ice shelf, Antarctica. proprietary
NSIDC-0630_1 MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR V001 NSIDC_ECS STAC Catalog 1978-10-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1371883515-NSIDC_ECS.umm_json This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, is an improved, enhanced-resolution, gridded passive microwave Earth System Data Record (ESDR) for monitoring cryospheric and hydrologic time series from SMMR, SSM/I-SSMIS, and AMSR-E. It is derived from the most mature and available Level-2 satellite passive microwave records from 1978 through the present. proprietary
NSIDC-0630_2 Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR V002 NSIDC_ECS STAC Catalog 1978-10-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776464104-NSIDC_ECS.umm_json The Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR, Version 2 data set is a multi-sensor Level 3 Earth Science Data Record (ESDR) with improvements upon Version 1 in cross-sensor calibration and quality checking, modern file formats, better quality control, improved projection grids, and local time-of-day (LTOD) processing. These data are gridded to three EASE-Grid 2.0 projections (North Azimuthal, South Azimuthal, and Cylindrical) and include enhanced-resolution imagery, as well as coarse-resolution, averaged imagery. Inputs include brightness temperature data from the Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I), Special Sensor Microwave Imager/Sounder (SSMIS), Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E), and Advanced Microwave Scanning Radiometer 2 (AMSR2). proprietary
NSIDC-0634_1 Alaska Tidewater Glacier Terminus Positions, Version 1 NSIDCV0 STAC Catalog 1948-01-01 2012-12-31 -151, 56.5, -132, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C1386250732-NSIDCV0.umm_json This data set contains Alaska tidewater glacier terminus positions digitized from USGS topographic maps and Landsat images. proprietary
NSIDC-0637_1 Borehole Temperature Measurement in WDC05A in January 2008 and January 2009 AMD_USAPDC STAC Catalog 2008-01-01 2009-01-01 -112.125, -79.463, -112.125, -79.463 https://cmr.earthdata.nasa.gov/search/concepts/C2532071518-AMD_USAPDC.umm_json This data set includes borehole temperature measurements performed in January 2008 and January 2009 at the West Antarctic Ice sheet divide from the 300 m hole WDC05A. proprietary
NSIDC-0642_2 MEaSUREs Annual Greenland Outlet Glacier Terminus Positions from SAR Mosaics V002 NSIDC_ECS STAC Catalog 1972-09-16 2021-03-25 -75, 60, -14, 83 https://cmr.earthdata.nasa.gov/search/concepts/C2139015179-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of annual, digitized (polyline) ice front positions for 239 outlet glaciers in Greenland. Ice front positions are derived from Sentinel-1A, Sentinel-1B, and RADARSAT-1 synthetic aperture radar (SAR) mosaics, plus imagery from Landsat 1 through Landsat 5 and Landsat 7 and Landsat 8. Although temporal coverage varies by glacier, data are available for the winter seasons 1972–1973 through 2020–2021. Data are provided as shapefiles. See Greenland Ice Mapping Project (GrIMP) for related data." proprietary
+NSIDC-0644_1 Greenland Annual Accumulation along the EGIG Line, 1959–2004, from Airborne Radar and Neutron Probe Densities, Version 1 NSIDCV0 STAC Catalog 1959-10-01 2004-09-30 -42.838297, 70.585609, -36.232431, 71.207715 https://cmr.earthdata.nasa.gov/search/concepts/C1436304012-NSIDCV0.umm_json This data set reports mean annual snow accumulation rates in meters water equivalent (m·w.e.) from 1959 to 2004 along a 250 km segment of the Expéditions Glaciologiques Internationales au Groenland (EGIG) line. Accumulation rates are derived from Airborne SAR/Interferometric Radar Altimeter System (ASIRAS) data and high resolution neutron-probe (NP) density profiles. proprietary
NSIDC-0645_1 MEaSUREs Greenland Ice Mapping Project (GIMP) Digital Elevation Model V001 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -75, 60, -14, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1458574534-NSIDC_ECS.umm_json "This data set consists of an enhanced resolution digital elevation model (DEM) for the Greenland Ice Sheet. It was constructed by combining ASTER and SPOT 5 DEMs over the ice sheet periphery and margin with AVHRR photoclinometry for the interior and far north, and calibrating the data to approximate mean ICESat/GLAS elevations from 2003 to 2009. See Greenland Ice Mapping Project (GIMP) for related data." proprietary
NSIDC-0646_3 MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from Optical Images V003 NSIDC_ECS STAC Catalog 1985-03-01 2021-11-30 -70, 60, -20, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1938060210-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of mean monthly velocity maps for selected glacier outlet areas. The maps are generated by tracking visible features between optical image pairs acquired by the Landsat 4 and 5 Thematic Mapper (TM), the Landsat 7 Enhanced Thematic Mapper Plus (ETM+), the Landsat 8 Operational Land Imager (OLI), and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). See Greenland Ice Mapping Project (GIMP) for related data." proprietary
NSIDC-0666_1 PALS/In Situ Multi-Campaign 800 m UTM Grid Brightness Temperature, Backscatter, and Soil Moisture Match-Up V001 NSIDC_ECS STAC Catalog 1999-07-08 2008-10-13 -98.67, 34.91, -75.54, 41.99 https://cmr.earthdata.nasa.gov/search/concepts/C1397135483-NSIDC_ECS.umm_json This data set contains data obtained by the Passive Active L- and S-band (PALS) microwave aircraft instrument that are matched up with a variety of soil moisture campaign data. The data were collected as part of four different campaigns: Southern Great Plains 1999 (SGP99), Cloud and Land Surface Interaction Campaign 2007 (CLASIC07), Soil Moisture Experiment 2002 (SMEX02), and the SMAP Validation Experiment 2008 (SMAPVEX08). proprietary
+NSIDC-0668_2 CanSISE Observation-Based Ensemble of Northern Hemisphere Terrestrial Snow Water Equivalent, Version 2 NSIDCV0 STAC Catalog 1981-01-01 2010-12-31 -180, 0, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386256679-NSIDCV0.umm_json "This data set is a daily gridded terrestrial snow water equivalent (SWE) dataset based on five component SWE products: " proprietary
NSIDC-0670_1 MEaSUREs Multi-year Greenland Ice Sheet Velocity Mosaic V001 NSIDC_ECS STAC Catalog 1995-12-01 2015-10-31 -75, 60, -14, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1418998752-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains a multi-year ice-sheet-wide velocity mosaic for Greenland, derived from Interferometric Synthetic Aperture Radar (InSAR), Synthetic Aperture Radar (SAR), and Landsat 8 optical imagery data. See Greenland Ice Mapping Project (GIMP) for related data." proprietary
+NSIDC-0690_1 Gridded Observational Sea Ice Thickness Products, Version 1 NSIDCV0 STAC Catalog 1993-01-01 2014-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386205715-NSIDCV0.umm_json Fields of long-term mean spring ice thickness derived from ERS-1 (1993-2001) and CryoSat (2011 to 2013) radar altimeters, ICESat laser altimeter (2004 to 2009), Operation IceBridge airborne altimeter and snow radar (2009 to 2014), and submarine upward looking sonar (1986-) are provided on 100 km EASE grids. All satellite-derived ice thickness fields were regridded as needed from their original gridded format to 100-km EASE grids using a drop-in-the-bucket averaging. IceBridge and submarine thickness estimates within 70 km of a 100 km EASE grid box center were averaged to give a grid cell mean thickness. proprietary
+NSIDC-0707_1 CryoSat-2 Sea Ice Freeboard, Thickness, and Snow Depth Quick Look, Version 1 NSIDCV0 STAC Catalog 2014-03-01 2015-03-31 -180, 55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386250736-NSIDCV0.umm_json "This data set contains sea ice thickness and other derived geophysical parameters measured over the Arctic sea ice cover. The data are primarily based on ESA's CryoSat-2 Level-1B SAR/SarIn Baseline B data products for March 2014 and March 2015. Ancillary data include snow depth, snow density, sea ice concentration, sea ice freeboard, and sea ice roughness. This quick look product is experimental and designed to aid in seasonal sea ice forecasting and other time-sensitive projects. The data were collected as part of Operation IceBridge funded campaigns. Note: This data set is the Quick Look counterpart to the CryoSat-2 Level-4 Sea Ice Elevation, Freeboard, and Thickness data set." proprietary
NSIDC-0709_2 MEaSUREs Antarctic Boundaries for IPY 2007-2009 from Satellite Radar V002 NSIDC_ECS STAC Catalog 1992-02-07 2015-12-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1454773262-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides maps of Antarctic ice shelves, Antarctic basins, and the Antarctic coastline. The maps are assembled from 2008-2009 ice-front data from the Japan Aerospace Exploration Agency's (JAXA) ALOS PALSAR and European Space Agency's ENVISAT ASAR data, acquired during International Polar Years 2007-2009 (IPY); the InSAR-based grounding line data (MEaSUREs Antarctic Grounding Line from Differential Satellite Radar Interferometry), augmented with other grounding line sources; the Antarctic ice velocity map (MEaSUREs InSAR-Based Antarctica Ice Velocity Map); and the Bedmap-2 DEM. See Antarctic Ice Sheet Velocity and Mapping Data for related data." proprietary
+NSIDC-0710_1 Global Land Ice Velocity Extraction from Landsat 8 (GoLIVE), Version 1 NSIDCV0 STAC Catalog 2013-05-01 2017-04-30 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1386250737-NSIDCV0.umm_json This data set is a compilation of ice velocity mappings generated from pairs of Landsat 8 panchromatic images acquired from May 2013 to present covering all terrestrial permanent ice within the latitude range 82°S to 82°N that is larger than 5 km2 in area. The data are updated monthly with new images acquired by Landsat 8 that are then paired with older images acquired within 400 days of the new acquisition for the Antarctic ice sheet, 112 days for the Greenland ice sheet, and 96 days for all other glacierized areas. The data are generated by an image correlation algorithm that produces grids of ice displacement referenced to in-image rock outcrops, slow moving ice, or if lacking that, using the satellite's geo-positioning (accurate to +/- 5 m). Velocity vector grids are generated at a sample spacing of 300 m from small sub-images that are either 300 m or 600 m on a side, depending on the region. For example, ice sheet areas are mapped with 600 m x 600 m sub-images, and mountain glaciers are mapped with 300 m x 300 m sub-images. Accuracy of the velocity data varies depending on the time separation between the images, ranging between ~1 m/d per day to 0.02 m/d per day. proprietary
NSIDC-0712_1 SMAP/In Situ Core Validation Site Land Surface Parameters Match-Up Data V001 NSIDC_ECS STAC Catalog 2015-04-01 2021-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1420518036-NSIDC_ECS.umm_json SMAP radiometer and radar soil moisture data products are matched with in situ-based soil moisture estimates from core validation sites to produce this data set. These data provide performance assessments of various SMAP soil moisture products. proprietary
NSIDC-0713_1 MEaSUREs Greenland Ice Mapping Project (GIMP) 2000 Image Mosaic V001 NSIDC_ECS STAC Catalog 1999-06-30 2002-09-04 -70, 60, -20, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1602494076-NSIDC_ECS.umm_json "This data set, part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides a complete 15 m resolution image mosaic of the Greenland ice sheet, derived from USGS Landsat 7 ETM+ imagery and Canadian Space Agency's (CSA) RADARSAT-1 imagery from the years 1999 to 2002. Additional bands (some at 30 m resolution) are provided for each tile in the mosaic and are useful for understanding surface properties, such as snow grain size, bedrock outcrops, mapping layering in the snow, and blue ice or lake-filled regions, during the spring and summer months. The panchromatic (band 8) mosaic provides the highest-resolution view of the ice sheet surface at 15 m, resolving topographic features, large crevasses, and other geophysical structures. See Greenland Ice Mapping Project (GIMP) for related data." proprietary
NSIDC-0714_1 MEaSUREs Greenland Ice Mapping Project (GIMP) Land Ice and Ocean Classification Mask V001 NSIDC_ECS STAC Catalog 1999-07-01 2015-09-30 -90, 58, 7, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1729194107-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides a complete land ice and ocean classification mask for the Greenland ice sheet, that was mapped using a combination of USGS Landsat 7 ETM+ panchromatic band imagery, and the Canadian Space Agency's (CSA) RADARSAT-1 Synthetic Aperture Radar (SAR) amplitude images. See Greenland Ice Mapping Project (GIMP) for related data." proprietary
NSIDC-0715_2 MEaSUREs Greenland Ice Mapping Project (GrIMP) Digital Elevation Model from GeoEye and WorldView Imagery V002 NSIDC_ECS STAC Catalog 2008-05-15 2020-11-19 -75, 60, -14, 83 https://cmr.earthdata.nasa.gov/search/concepts/C2295286903-NSIDC_ECS.umm_json "This data set consists of an enhanced resolution digital elevation model (DEM) for the Greenland Ice Sheet, derived from sub-meter resolution, panchromatic stereoscopic imagery collected by the GeoEye-1, WorldView-1, -2, and -3 satellites operated by Maxar Technologies. The DEM was created from in-track image pairs (i.e., both images collected minutes apart along the same orbital pass) and cross-track images (i.e., from different orbits) within the in-track imaging geometry and maximum time separation criteria. The DEM is registered to ATLAS/ICESat-2 L3A Land Ice Height, Version 5 (ATL06, V5) data collected in the summers of 2019 and 2020. See Greenland Ice Mapping Project (GrIMP) for related data" proprietary
+NSIDC-0719_1 Daily 4 km Gridded SWE and Snow Depth from Assimilated In-Situ and Modeled Data over the Conterminous US, Version 1 NSIDCV0 STAC Catalog 1981-10-01 2022-09-30 -125, 24, -66.5, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1609344161-NSIDCV0.umm_json This data set provides daily 4 km snow water equivalent (SWE) and snow depth over the conterminous United States from 1981 to 2022, developed at the University of Arizona (UA) under the support of the NASA MAP and SMAP Programs. The data were created by assimilating in-situ snow measurements from the National Resources Conservation Service's SNOTEL network and the National Weather Service's COOP network with modeled, gridded temperature and precipitation data from PRISM. proprietary
NSIDC-0720_1 MEaSUREs Annual Antarctic Ice Velocity Maps V001 NSIDC_ECS STAC Catalog 2000-07-01 2020-06-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2245171699-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides annual maps of Antarctic ice velocity. The maps are assembled using SAR data from the Japanese Space Agency's (JAXA) ALOS PALSAR, the European Space Agency's (ESA) ENVISAT ASAR and Copernicus Sentinel-1, the Canadian Space Agency's (CSA) RADARSAT-1, RADARSAT-2, the German Aerospace Agency's (DLR) TerraSAR-X (TSX) and TanDEM –X (TDX), and the U.S. Geological Survey's (USGS) Landsat-8 optical imagery.. See Antarctic Ice Sheet Velocity and Mapping Data for related data." proprietary
+NSIDC-0722_1 Daily Snow Depth and SWE from GPS Signal-to-Noise Ratios, Version 1 NSIDCV0 STAC Catalog 2002-09-01 2017-06-30 -180, 32, 18.37, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1412992229-NSIDCV0.umm_json This data set consists of daily snow depths and snow-water equivalents (SWEs) estimated from GPS signal-to-noise ratios (SNRs). Snow depth is determined by calculating the relative change of the effective multipath reflector height (i.e. the snow surface) with respect to the snow free surface. SWEs are determined using GPS snow depths and, when available, density observations from nearby SNOpack TELemetry (SNOTEL) stations. When a nearby SNOTEL station is not available, density is estimated using GPS snow depth and climate classes, which account for variables such as location and time of the year. proprietary
NSIDC-0723_4 MEaSUREs Greenland Image Mosaics from Sentinel-1A and -1B V004 NSIDC_ECS STAC Catalog 2015-01-01 2024-05-30 -87.1, 58.8, 5.8, 81.4 https://cmr.earthdata.nasa.gov/search/concepts/C2074946965-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of 6-day and 12-day 50 m resolution image mosaics of the Greenland coastline and ice sheet periphery. The mosaics are derived from C-band Synthetic Aperture Radar (C-SAR) acquired by the Copernicus Sentinel-1A and -1B satellites. See Greenland Ice Mapping Project (GrIMP) for related data sets." proprietary
NSIDC-0724_1 MEaSUREs Greenland Monthly Image Mosaics from MODIS V001 NSIDC_ECS STAC Catalog 2008-03-01 2016-09-30 -109, 57, 11, 85 https://cmr.earthdata.nasa.gov/search/concepts/C1524053173-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of monthly image mosaics of the Greenland coastline and ice sheet periphery constructed from composited MODIS imagery. See Greenland Ice Mapping Project (GIMP) for related data." proprietary
NSIDC-0725_5 MEaSUREs Greenland Annual Ice Sheet Velocity Mosaics from SAR and Landsat V005 NSIDC_ECS STAC Catalog 2014-12-01 2023-11-30 -90.9, 58.5, 8.32, 83 https://cmr.earthdata.nasa.gov/search/concepts/C2816704526-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains annual ice velocity mosaics for the Greenland Ice Sheet. Velocities are derived from synthetic aperture radar (SAR) data, obtained by TerraSAR-X/TanDEM-X and Sentinel-1A and -1B, and from optical imagery acquired by Landsat 8 and Landsat 9. See Greenland Ice Mapping Project (GrIMP) for related data." proprietary
+NSIDC-0726_1 Daily Lake Ice Phenology Time Series Derived from AMSR-E and AMSR2, Version 1 NSIDCV0 STAC Catalog 2002-06-04 2022-12-31 -180, 0, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1451430508-NSIDCV0.umm_json The Daily Lake Ice Phenology Time Series Derived from AMSR-E and AMSR2 provides 5 km ice phenology retrievals describing daily lake ice conditions (ice-on/ice-off) over the Northern Hemisphere. This satellite-based data set allows for rapid assessment and regional monitoring of seasonal ice coverage over large lakes with resulting accuracy suitable for global change studies. Data are provided in the 5 km Northern Hemisphere Equal-Area Scalable Earth Grid 2.0 (EASE-Grid 2.0). proprietary
NSIDC-0727_5 MEaSUREs Greenland Quarterly Ice Sheet Velocity Mosaics from SAR and Landsat V005 NSIDC_ECS STAC Catalog 2014-12-01 2024-05-31 -90.9, 58.5, 8.32, 83 https://cmr.earthdata.nasa.gov/search/concepts/C2627036252-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains quarterly (three-month interval) ice velocity mosaics for the Greenland Ice Sheet. This data set is derived from Synthetic Aperture Radar (SAR) data, obtained by TerraSAR-X/TanDEM-X and Sentinel-1A and -1B, and from optical imagery acquired by Landsat 8 and Landsat 9. See Greenland Ice sheet Mapping Project (GrIMP) for related data." proprietary
NSIDC-0731_5 MEaSUREs Greenland Monthly Ice Sheet Velocity Mosaics from SAR and Landsat V005 NSIDC_ECS STAC Catalog 2014-12-01 2024-05-31 -90.9, 58.5, -8.32, 83 https://cmr.earthdata.nasa.gov/search/concepts/C2627046644-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains monthly ice velocity mosaics for the Greenland Ice Sheet. The data are derived from Synthetic Aperture Radar (SAR) data, obtained by TerraSAR-X/TanDEM-X and Sentinel-1A and -1B, and from optical imagery acquired by Landsat 8 and Landsat 9. See Greenland Ice sheet Mapping Project (GrIMP) for related data." proprietary
NSIDC-0738_2 SMAP Radiometer Twice-Daily rSIR-Enhanced EASE-Grid 2.0 Brightness Temperatures V002 NSIDC_ECS STAC Catalog 2015-03-31 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2103333573-NSIDC_ECS.umm_json This data set contains twice-daily, enhanced-resolution brightness temperature data derived from the SMAP radiometer. Data are available on the Northern Hemisphere, Southern Hemisphere, Temperate, and Mid-Latitude (sub-set of Global) EASE-Grid 2.0 projections and on the 3 km, 3.125 km, 9 km, 25 km, and 36 km resolution grids. This data set applies the same SIR technique used to derive brightness temperatures from the SMMR, AMSR-E, and SSM/I-SSMIS sensors and is a companion product for the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR data set (DOI: 10.5067/MEASURES/CRYOSPHERE/NSIDC-0630.001). proprietary
+NSIDC-0747_1 Arctic Sea Ice Seasonal Change and Melt/Freeze Climate Indicators from Satellite Data, Version 1 NSIDCV0 STAC Catalog 1979-03-01 2018-02-28 -180, 30, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1593699726-NSIDCV0.umm_json The product contains melt-season indicators that can be used to delineate various stages in the summer melt and freeze-up period of sea ice. The data were primarily derived using Sea Ice Concentration (SIC) observations from the NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration and brightness temperature observations from the DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures; both input data sets are archived at NSIDC. The main parameters for this data set include the dates of melt onset, early melt onset, and continuous melt onset; dates of early and continuous freeze onset; day of opening (last day SIC is above 80%); day of retreat (last day SIC drops below 15%); day of advance (first day SIC increases above 15%); day of closing (first day SIC increases above 80%); total outer ice-free period; total inner ice-free period; seasonal loss-of-ice period; seasonal gain-of-ice period; and the seasonal ice zone. These data are available for 1979 through 2017. They are gridded on the NSIDC northern hemisphere polar stereographic grid at 25 km. proprietary
NSIDC-0754_1 MEaSUREs Phase-Based Antarctica Ice Velocity Map V001 NSIDC_ECS STAC Catalog 1996-01-01 2018-12-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1699753973-NSIDC_ECS.umm_json "This data set, as part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, combines interferometric phases from multiple satellite interferometric synthetic-aperture radar systems to derive the first comprehensive phase-based map of Antarctic ice velocity. The precision in ice speed and flow direction over 80% of Antarctica is better than prior mappings based on feature and speckle tracking by a factor of 10. Phase-derived velocity mostly covers the years between 2007 and 2018, while tracking-derived velocity (for regions along the coasts) is mostly found in the years from 2013 to 2017. Additional data acquired between 1996 and 2018 were used as needed to maximize coverage. See Antarctic Ice Sheet Velocity and Mapping Data for related data." proprietary
NSIDC-0756_3 MEaSUREs BedMachine Antarctica V003 NSIDC_ECS STAC Catalog 1970-01-01 2019-10-01 -180, -90, 180, -53 https://cmr.earthdata.nasa.gov/search/concepts/C2509060594-NSIDC_ECS.umm_json This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains a bed topography/bathymetry map of Antarctica based on mass conservation, streamline diffusion, and other methods. The data set also includes ice thickness, surface elevation, an ice/ocean/land mask, ice thickness estimation errors, and a map showing where each method was utilized. proprietary
NSIDC-0761_1 MEaSUREs Multi-year Reference Velocity Maps of the Antarctic Ice Sheet V001 NSIDC_ECS STAC Catalog 1995-07-01 2017-06-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2274866095-NSIDC_ECS.umm_json This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of three as-complete-as-possible mosaic maps of velocities on the Antarctic ice sheet for the time periods 1995–2001, 2007–2009, and 2014–2017. The maps are posted at 450 m in the WGS 84/Antarctic Polar Stereographic projection. In addition to ice velocity, the data set provides maps of velocity error and standard deviation; counts of velocity estimates used per pixel; date ranges; and masks that delineate the ice fronts and grounding lines for the each period. proprietary
NSIDC-0764_1 CALFIN Subseasonal Greenland Glacial Terminus Positions V001 NSIDC_ECS STAC Catalog 1972-09-06 2019-06-25 -75, 60, -15, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2116307977-NSIDC_ECS.umm_json This data set contains shapefiles of Greenland’s glacial termini and basins for the years 1972 to 2019. These vector data were created from Landsat 1-8 satellite imagery using the Calving Front Machine (CALFIN) an automated processing workflow utilizing neural networks for extracting calving fronts from satellite images of marine-terminating glaciers. proprietary
NSIDC-0766_1 MEaSUREs Greenland 6 and 12 day Ice Sheet Velocity Mosaics from SAR V001 NSIDC_ECS STAC Catalog 2015-01-01 2021-02-03 -75, 60, -14, 83 https://cmr.earthdata.nasa.gov/search/concepts/C2135251651-NSIDC_ECS.umm_json This data set contains 6 and 12 day surface velocity estimates for the Greenland Ice Sheet and periphery derived from images acquired between 2015–2021 by the European Space Agency (ESA) Copernicus Sentinel-1A and Sentinel-1B satellites. proprietary
NSIDC-0766_2 MEaSUREs Greenland 6 and 12 day Ice Sheet Velocity Mosaics from SAR V002 NSIDC_ECS STAC Catalog 2015-01-01 2024-04-24 -90.9, 58.5, 8.32, 83 https://cmr.earthdata.nasa.gov/search/concepts/C2439350316-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains 6 and 12 day surface velocity estimates for the Greenland Ice Sheet and periphery. Velocities are derived from images acquired by the European Space Agency (ESA) Copernicus Sentinel-1A and Sentinel-1B satellites. See Greenland Ice Mapping Project (GrIMP) for related data sets." proprietary
+NSIDC-0768_1 Global Seasonal-Snow Classification, Version 1 NSIDCV0 STAC Catalog 1981-01-01 2019-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2218487926-NSIDCV0.umm_json This data set consists of global, seasonal snow classifications—e.g., tundra, boreal forest, maritime, ephemeral, prairie, montane forest, and ice—determined from air temperature, precipitation, and wind speed climatologies. Data are available on global, North America, and Eurasia latitude-longitude grids at four resolutions: 10 arcsec (~300 m), 30 arcsec (~1 km), 2.5 arcmin (~5 km), and 0.5° (~50 km). proprietary
+NSIDC-0772_1 EASE Grids Ancillary Grid Information, Version 1 NSIDCV0 STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2248794489-NSIDCV0.umm_json EASE-Grids 2.0 provide arrays of the latitude and longitude at the center of each grid cell. New products use the EASE-Grid 2.0, but many existing data sets still use the original EASE-Grids. proprietary
NSIDC-0774_1 SMAP Radar Twice-Daily SAR and SIR-Enhanced Scatterometer EASE-Grid 2.0 Radar Backscatter V001 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2568349136-NSIDC_ECS.umm_json "This data set contains twice-daily synthetic aperture radar (SAR) and enhanced-resolution scatterometer radar backscatter derived from SMAP radar data. Data are available on the Northern Hemisphere, Southern Hemisphere, Temperate, and Mid-Latitude (sub-set of Global) EASE-Grid 2.0 projections and as either 25 km or 3.125 km resolution grids. This new product uses the drop-in-the bucket gridding (GRD) algorithm and Scatterometer Image Reconstruction (SIR) algorithm to process the individual swath-based data from the input data sets into twice-daily images, producing SAR images (high-resolution), slice and footprint images (both lower-resolution), respectively. Note, that as a companion product, the radiometer form of the SIR algorithm (rSIR) was used to derive brightness temperatures from SMAP radiometer data for the SMAP Radiometer Twice-Daily rSIR-Enhanced EASE-Grid 2.0 Brightness Temperatures, Version 2, data set (NSIDC-0738)." proprietary
NSIDC-0775_1 MEaSUREs ITS_LIVE Landsat Image-Pair Glacier and Ice Sheet Surface Velocities V001 NSIDC_ECS STAC Catalog 1982-11-12 2019-04-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2341384722-NSIDC_ECS.umm_json This data set, part of NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of ice velocities at 240 m resolution, generated from Landsat 4, 5, 7, and 8 optical image pairs. Velocities were derived using the autonomous Repeat Image Feature Tracking algorithm (autoRIFT) processing chain. Data are available for all land ice areas larger than 5 square km, spanning the period from 1985 to 2018 (subject to image availability and quality). Data scarcity and/or low radiometric quality are significant limiting factors for many regions during the earlier years of the data record. Annual, global coverage is nearly complete after the 2013 launch of Landsat 8. proprietary
NSIDC-0776_1 MEaSUREs ITS_LIVE Regional Glacier and Ice Sheet Surface Velocities V001 NSIDC_ECS STAC Catalog 1985-01-01 2018-12-31 -159.45, -90, 127.41, 84.09 https://cmr.earthdata.nasa.gov/search/concepts/C2396971814-NSIDC_ECS.umm_json This data set from the Inter-Mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) project, part of NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of regionally compiled, mean annual surface velocities for major glacier-covered regions, derived from Landsat 4, 5, 7, and 8 imagery. Data are available from 1985 to 2018. Data availability is significantly limited prior to 2013 due to image scarcity and low image quality; however annual coverage is nearly complete for the years following the Landsat 8 launch in 2013. proprietary
NSIDC-0777_1 MEaSUREs Greenland Ice Velocity: Selected Glacier Site Single-Pair Velocity Maps from Optical Images V001 NSIDC_ECS STAC Catalog 2016-01-01 2023-12-29 -70, 62, -20, 82 https://cmr.earthdata.nasa.gov/search/concepts/C2363258255-NSIDC_ECS.umm_json This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of surface velocity estimates for selected Greenland Ice Sheet outlet glaciers. Velocity fields were generated by tracking visible features in optical images acquired by the U.S. Geological Survey (USGS) Landsat 8 Operational Land Imager (OLI) and the European Space Agency (ESA) Copernicus Sentinel-2A and Sentinel-2B satellites. proprietary
NSIDC-0778_1 MEaSUREs Grounding Zone of the Antarctic Ice Sheet V001 NSIDC_ECS STAC Catalog 2018-01-01 2020-12-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2592873433-NSIDC_ECS.umm_json This data set provides a comprehensive map for the Antarctic Ice Sheet of the short-term zone of migration of the grounding line (i.e., the transition boundary between grounded ice and ice floating in the ocean waters) over a given period due to changes in oceanic tide. This short-term variation in the grounding line is referred to in this data set as the “grounding zone.” The grounding zone is presented as polylines in an ESRI shapefile indicating the upstream and downstream bound of the variation in the grounding line for a given year. The data is based on an automatic delineation of thousands of grounding lines using Sentinel-1 A/B interferometric synthetic aperture radar (InSAR) data with a machine learning algorithm and supplemented by grounding lines from COSMO SkyMed InSAR data. proprietary
NSIDC-0779_1 SMAP-Derived 1-km Downscaled Surface Soil Moisture Product V001 NSIDC_ECS STAC Catalog 2015-04-01 2024-06-29 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2623698025-NSIDC_ECS.umm_json This data product contains global daily 1 km resolution surface soil moisture derived from the SMAP L-band radiometer. Specifically, MODIS land surface temperature data is used with the SMAP Enhanced L2radiometer Half-Orbit 9 km EASE-Grid Soil Moisture product in a downscaling algorithm to estimate soil moisture. The data set is validated by in situ soil moisture measurements from dense soil moisture networks representing different global land cover types. proprietary
+NSIDC-0780_1 Arctic and Antarctic Regional Masks for Sea Ice and Related Data Products, Version 1 NSIDCV0 STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2611228582-NSIDCV0.umm_json This data product is a set of polar ocean region masks. The masks have been developed primarily to support sea ice products, but they are potentially useful for other applications. proprietary
NSIDC-0781_1 MEaSUREs Weekly to Monthly Greenland Outlet Glacier Terminus Positions from Sentinel-1 Mosaics V001 NSIDC_ECS STAC Catalog 2015-01-01 2021-12-31 -73, 59, -15, 84 https://cmr.earthdata.nasa.gov/search/concepts/C2565878363-NSIDC_ECS.umm_json This data set consists of sub-seasonal, digitized (polyline) ice front positions for 219 outlet glaciers in Greenland. For 199 glaciers, ice front positions are digitized at a monthly resolution. For 20 glaciers in northwestern Greenland, ice front positions are digitized at a 6-12 day resolution, depending on the availability of satellite imagery. Ice front positions are derived from Sentinel-1A and Sentinel-1B synthetic aperture radar (SAR) mosaics. proprietary
NSIDC-0782_1 MEaSUREs ITS_LIVE Antarctic Grounded Ice Sheet Elevation Change V001 NSIDC_ECS STAC Catalog 1985-04-17 2020-12-16 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2592732626-NSIDC_ECS.umm_json This data product contains monthly ice sheet elevation change data for Antarctica derived from five radar altimetry missions (Geosat, ERS-1 and -2, Envisat and CryoSat-2) and two laser altimetry missions (ICESat and ICESat-2). Each time step and grid node includes relative error estimates and a quality flag that can be used to filter the data in space and time. The product is also provided with an estimate of static topography in the form of a digital elevation model (DEM), which was used to estimate monthly ice sheet elevation change. With a temporal coverage of 17 April 1985 to 16 December 2020, this product can be used to determine changes in ice sheet mass balance over time. proprietary
+NSIDC-0783_1 Extreme Ice Survey Glacier Image Archive, 2007-2022, Version 1 NSIDCV0 STAC Catalog 2006-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2848646118-NSIDCV0.umm_json The Extreme Ice Survey (EIS) Glacier Image Archive, 2007-2022 is a collection of images capturing changes in arctic and alpine landscapes. Camera sites were established and maintained at scientifically significant cryospheric locations around the world. The 1.5 million images in this collection provide crucial data on the speed and extent of glacial retreat. proprietary
NSIDC-0786_1 NSCAT Twice-Daily SIR-Enhanced EASE-Grid 2.0 Radar Backscatter V001 NSIDC_ECS STAC Catalog 1996-09-14 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3068826019-NSIDC_ECS.umm_json This data set provides twice-daily enhanced-resolution radar backscatter images from 14 GHz NASA Scatterometer (NSCAT) observations by applying the Scatterometer Image Reconstruction with Filtering (SIRF) algorithm. The algorithm incorporates a median filter and a simplified spatial response function. Multiple passes of the spacecraft are combined to produce a higher spatial resolution and fill in coverage gaps between the individual measurement footprints, which are not contiguous and have six-sided shapes. Overlapping imaging periods start each day and extend through 4- and 8-day periods. Data are gridded to Northern Hemisphere, Southern Hemisphere, and Temperate EASE-Grid 2.0 projections at 3.125 km and 25 km resolutions. proprietary
NSIDC-0787_1 SASS Twice-Daily SIR-Enhanced EASE-Grid 2.0 Radar Backscatter V001 NSIDC_ECS STAC Catalog 1978-07-07 1978-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3065845408-NSIDC_ECS.umm_json This product contains twice-daily radar backscatter data collected at 14.6 GHz for horizontal-horizontal and vertical-vertical receive radar channels from the SeaSat-A satellite scatterometer (SASS) sensor. Data are available on the Northern Hemisphere, Southern Hemisphere, and Temperate EASE-Grid 2.0 projections as either 25 km or 3.125 km resolution grids. The data set uses the drop-in-the bucket gridding (GRD) and Scatterometer Image Reconstruction (SIR) algorithms to process the individual swath-based data into twice-daily morning and evening images. The GRD algorithm produces SAR images (high-resolution) on a 25 km grid and the SIR algorithm produces slice and footprint images (both lower-resolution) on a 3.125 km grid, provided at 8-,16-, 32-day imaging intervals. The data coverage is global from 7 July 1978 through 10 Oct 1978. proprietary
+NSIDC-0788_1 Automated Greenland Glacier Termini Position Time Series, Version 1 NSIDCV0 STAC Catalog 1972-01-01 2022-01-01 -75, 57, -8, 85 https://cmr.earthdata.nasa.gov/search/concepts/C2849438379-NSIDCV0.umm_json "This data set contains shapefiles of termini traces from 294 Greenland glaciers, derived using a deep learning algorithm (AutoTerm) applied to satellite imagery. The model functions as a pipeline, imputing publicly availably satellite imagery from Google Earth Engine (GEE) and outputting shapefiles of glacial termini positions for each image. Also available are supplementary data, including temporal coverage of termini traces, time series data of termini variations, and updated land, ocean, and ice masks derived from the Greenland Ice Sheet Mapping Project (GrIMP) ice masks." proprietary
NSIDC-0791_1 MODIS/Terra Global Annual 0.01Deg CMG Snow Cover Climatology V001 NSIDC_ECS STAC Catalog 2000-03-01 2023-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2909924695-NSIDC_ECS.umm_json "This data set presents new global snow cover classification regimes derived from the MODIS Terra cloud gap-filled NDSI data (MOD10A1F), elevation, and temperature climatology inputs. The six data granules are available as NetCDF (.nc) files, with each containing a unique snow cover classification spanning 2001 to 2023. The six classifications included in this data set are: (1) snow class climatology (SSC), (2) core snow season length (CSS), (3) snow cover duration (SCD), (4) full snow season length (FSS), (5) snow persistence (SP), and (6) snow season persistence (SSP)." proprietary
NSIDC-0792_1 MEaSUREs ITS_LIVE Antarctic Quarterly 1920 m Ice Shelf Height Change and Basal Melt Rates, 1992-2017 V001 NSIDC_ECS STAC Catalog 1992-03-17 2017-12-16 -180, -90, 180, -54 https://cmr.earthdata.nasa.gov/search/concepts/C3178054062-NSIDC_ECS.umm_json This ITS_LIVE data set, part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, includes quarterly estimates of Antarctic ice shelf surface elevation, thickness, basal melt rate, surface mass balance, firn air content, and associated errors, from 17 March 1992 through 16 December 2017 at 1920 m resolution. The data were generated from four European Space Agency (ESA) satellite radar altimetry missions—ERS-1, ERS-2, Envisat, and CryoSat-2—using a novel data fusion approach and the Glacier Energy and Mass Balance model (GEMB). proprietary
NSIDC-0793_1 MEaSUREs ITS_LIVE Greenland Monthly 120 m Ice Sheet Extent Masks, 1972-2022 V001 NSIDC_ECS STAC Catalog 1972-09-15 2022-02-15 -94.4, 58.33, 11.32, 81.51 https://cmr.earthdata.nasa.gov/search/concepts/C3177912929-NSIDC_ECS.umm_json This ITS_LIVE data set, part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains monthly, 120 m resolution ice masks for the Greenland Ice Sheet from 1972 to 2022. The presence of ice was determined from 237,556 manually and AI-derived terminus positions acquired by satellite optical and radar observations. Months with no observations have been gap-filled using past and future observations of terminus positions and advance rates constrained by the average flow speed of the glacier. Animations are also available for 206 catchments that show how the ice front positions have changed over the course of the time series and can be used as a quality control check. proprietary
@@ -11374,8 +11521,8 @@ OMAEROZ_003 OMI/Aura Aerosol product Multi-wavelength Algorithm Zoomed 1-Orbit L
OMAERO_003 OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERO) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966755-GES_DISC.umm_json The Level-2 Aura Ozone Monitoring Instrument (OMI) Aerosol Product (OMAERO) is now available from NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for public access. This is the second public release of version 003. The data was re-processed in late 2011 using an improved algorithm (processing version 1.2.3.1). After some quick validation the reprocessed data was released to the public in March 2012. The shortname for this Level-2 Aerosol Product is OMAERO_V003. There are two Level-2 Aura OMI aerosol products OMAERUV and OMAERO. The OMAERUV product uses the near-UV algorithm. The OMAERO product is based on the multi-wavelength algorithm and that uses up to 20 wavelength bands between 331 nm and 500 nm. OMAERO retrieval algorithm is developed by the KNMI OMI Team Scientists. Drs. Deborah Stein-Zweers, Martin Sneep and Pepijn Veefkind are now the key investigators of this product. The OMAERO product contains Aerosol Optical Depths, Single Scattering Albedo, and other ancillary and geolocation information. The OMAERO files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERO data product is about 6 Mbytes. proprietary
OMAEROe_003 OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3 (OMAEROe) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136062-GES_DISC.umm_json The OMI science team produces this Level-3 Aura/OMI Global Aerosol Data Products OMAEROe (0.25deg Lat/Lon grids). The OMAEROe product selects best aerosol value from the Level2G good quality data that are reported in each grid, based on the multi-wavelength algorithm that uses up to 20 wavelength bands between 331 nm and 500 nm. The selection criteria is based on the shortest optical path length (secant of solar zenith angle + secant of viewing zenith angle). The OMAEROe files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAEROe data product is about 7 Mbytes. (The shortname for this Level-3 Global Gridded Aerosol Product is OMAEROe) proprietary
OMAERUVG_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMAERUVG) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136097-GES_DISC.umm_json This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 AERUV product OMAERUV. This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 Aerosol product OMAERUV. OMAERUVG data product is a special Level-2 gridded product where pixel level products are binned into 0.25x0.25 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMAERUVG files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits mapped on the Global 0.25x0.25 deg Grids. The maximum file size for the OMAERUVG data product is about 50 Mbytes. proprietary
-OMAERUV_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.umm_json The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. proprietary
OMAERUV_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.umm_json The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ proprietary
+OMAERUV_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.umm_json The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. proprietary
OMAERUV_004 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V004 (OMAERUV) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3185856256-GES_DISC.umm_json The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product OMAERUV (Version 004) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Optical Depth, Aerosol Single Scattering Albedo, Absorption Optical Depth, UV Aerosol Index, and Aerosol Optical Depth over clouds at three wavelengths (354, 388, and 500 nm), and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). The OMAERUV files are stored in the version 4.0 Network Common Data Form (NetCDF). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 17 Mbytes. proprietary
OMAERUV_CPR_003 OMI/Aura Level 2 Near UV Aerosol Optical Depth and Single Scattering Albedo 200-m swath subset along CloudSat track V003 (OMAERUV_CPR) at GES DISC GES_DISC STAC Catalog 2006-06-01 2017-05-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350969-GES_DISC.umm_json This is a CloudSat-collocated subset of the original OMI product OMAERUV, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this CloudSat-collocated OMI Level 2 near-UV aerosol subset is OMAERUV_CPR_003) proprietary
OMAERUVd_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo L3 1 day 1.0 degree x 1.0 degree V3 (OMAERUVd) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136096-GES_DISC.umm_json The OMI science team produces this Level-3 daily global gridded product OMAERUVd (1 deg Lat/Lon grids). The OMAERUVd product is produced with all data pixels that fall in a grid box with quality filtered and then averaged, based on the pixel level OMI Level-2 Aerosol data product OMAERUV. The OMAERUV data product is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data. The OMAERUVd data product contains extinction and absorption optical depths at three wavelenghts (355 nm, 388 nm and 500 nm). The OMAERUVd files are stored in version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAERUVd data product is about 0.2 Mbytes. proprietary
@@ -11385,8 +11532,8 @@ OMCLDO2Z_003 OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) Zoomed 1-Or
OMCLDO2_003 OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) 1-Orbit L2 Swath 13x24km V003 (OMCLDO2) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966787-GES_DISC.umm_json The reprocessed OMI/Aura Level-2 cloud data product OMCLDO2 is now available from the NASA GoddardEarth Sciences Data and Information Services Center (GES DISC) for the public access. It is the second release of Version 003 and was reprocessed in late 2011. OMI provides two cloud products based on two different algorithms, the Rotational Raman Scattering method, and O2-O2 absorption method using the DOAS technique. This level-2 global cloud product, with a pixel resolution of 13x24 km2at nadir, is based on the spectral fitting of O2-O2 absorption band at 477 nm using DOAS technique. This product contains cloud pressure, cloud fraction, slant column O2-O2, ozone, ring coefficients, uncertainties in derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The lead scientist for this product is Dr. Pepijn Veefkind. The OMCLDO2 product files are stored in the version 5 Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes) and is roughly 15.096 MB in size. There are approximately 14 orbits per day thus the total data volume is approximately 200 GB/day. proprietary
OMCLDO2_CPR_003 OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) 200-km swath subset along CloudSat track V003 (OMCLDO2_CPR) at GES DISC GES_DISC STAC Catalog 2006-06-01 2018-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350939-GES_DISC.umm_json This the OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) subset along CloudSat track, for the purposes of the A-Train mission. The original product uses the DOAS technique method. This level-2 global cloud product at the pixel resolution (13x24 km2 at nadir) is based on the spectral fitting of O2-O2 absorption band at 477 nm using DOAS technique. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track. This product contains cloud pressure, cloud fraction, slant column O2-O2 and O3, ring coefficients, uncertainties in derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this Level-2 OMI cloud pressure and fraction (O2-O2 absorption) subset along CloudSat track product is OMCLDO2_CPR) proprietary
OMCLDRRG_003 OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMCLDRRG) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136100-GES_DISC.umm_json This Level-2G daily global gridded product OMCLDRRG is based on the pixel level OMI Level-2 CLDRR product OMCLDRR. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner. OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMCLDRRG data products are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes. proprietary
-OMCLDRR_003 OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.umm_json The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml . A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/ proprietary
OMCLDRR_003 OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 (OMCLDRR) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966791-GES_DISC.umm_json The reprocessed Aura Ozone Monitoring Instrument (OMI) Version 003 Level 2 Cloud Data Product OMCLDRR is available to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. The OMCLDRR files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. proprietary
+OMCLDRR_003 OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.umm_json The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml . A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/ proprietary
OMCLDRR_004 OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V004 (OMCLDRR) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3159637081-GES_DISC.umm_json This is the Aura Ozone Monitoring Instrument (OMI) Version 004 Level 2 Cloud Data Product OMCLDRR. OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. The OMCLDRR files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. proprietary
OMCLDRR_CPR_003 OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 200-km swath subset along CloudSat track V003 (OMCLDRR_CPR) at GES DISC GES_DISC STAC Catalog 2006-06-01 2018-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350980-GES_DISC.umm_json This is the OMI/Aura Cloud Pressure and Fraction (Raman Scattering) subset along CloudSat tracks, for the purposes of the A-Train mission. The original data product uses the Rotational Raman Scattering method. This level-2 global cloud product provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). The goal of this subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this Level-2 OMI cloud pressure and fraction subset along CloudSat tracks product is OMCLDRR_CPR) proprietary
OMDOAO3G_003 OMI/Aura Ozone (O3) DOAS Total Column Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMDOAO3G) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136103-GES_DISC.umm_json This Level-2G daily global gridded product OMDOAO3G is based on the pixel level OMI Level-2 DOAO3 product OMDOAO3. This Level-2G global total column ozone product is derived from OMDOAO3 which is based on the Differential Absorption Spectroscopy (DOAS) fitting technique that essentially uses the OMI visible radiance values between 331.1 and 336.1 nm. In addition to the total ozone column this product also contains some auxiliary derived and ancillary input parameters, e.g. ozone slant column density, ozone ghost column density, etc. The short name for this Level-2 OMI ozone product is OMDOAO3G and the lead algorithm scientist for this product and for OMDOAO3 (the data source of OMDOAO3G) is Dr. Pepijn Veefkind from KNMI. The OMDOAO3G product files are stored in the version 5 Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (approximately 14 orbits) and is roughly 80 MB in size. proprietary
@@ -11461,17 +11608,17 @@ OMPS_NPP_NPBUVO3_L2_2 OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital G
OMPS_NPP_NPBUVO3_L2_2.9 OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital V2.9 (OMPS_NPP_NPBUVO3_L2) at GES DISC GES_DISC STAC Catalog 2011-11-13 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C2821060582-GES_DISC.umm_json The OMPS-NPP L2 NP Ozone (O3) Total Column swath orbital product provides ozone profile retrievals from the Ozone Mapping and Profiling Suite (OMPS) Nadir-Profiler (NP) instrument on the Suomi-NPP satellite. The V8 ozone profile algorithm relies on nadir profiler measurements made in the 250 to 310 nm range, as well as from measurements from the nadir mapper in the 300 to 380 nm range. Ozone mixing ratios are reported at 15 pressure levels between 50 and 0.5 hPa. Additionally, this data product contains measurements of total ozone, UV aerosol index and reflectivities at 331 and 380 nm. Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-82 to +82 degrees latitude), and there are about 14.5 orbits per day, each has typically 80 profiles. The NP footprint size is 250 km x 250 km. The files are written using the Hierarchical Data Format Version 5 or HDF5. proprietary
OMPS_NPP_NPEV_L1B_2 OMPS/NPP L1B NP Radiance EV Calibrated Geolocated Swath Orbital V2 (OMPS_NPP_NPEV_L1B) at GES DISC GES_DISC STAC Catalog 2011-11-13 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1279850611-GES_DISC.umm_json The OMPS-NPP L1B NP Radiance EV Calibrated Geolocated Swath Orbital collection contains calibrated and geolocated radiances from 300 to 380 nm measured by the OMPS Nadir-Profiler sensor on the Suomi-NPP satellite. Each granule typically contains data from the daylight portion of a single orbit (about 50 minutes). Spatial coverage is nearly global (-82 to 82 degrees latitude), and there are about 14.5 orbits per day each with a single nadir measurement along the satellite track. proprietary
OMSO2G_003 OMI/Aura Sulphur Dioxide (SO2) Total Column Daily L2 Global Gridded 0.125 degree x 0.125 degree V3 (OMSO2G) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136113-GES_DISC.umm_json This Level-2G daily global gridded product OMSO2G is based on the pixel level OMI Level-2 SO2 product OMSO2. OMSO2G data product is a special Level-2 gridded product where pixel level products are binned into 0.125x0.125 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMSO2G data product contains almost all parameters that are contained in OMSO2 files. For example, in addition to three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm, and ancillary parameters, e.g., UV aerosol index, cloud fraction, cloud pressure, geolocation, solar and satellite viewing angles, and quality flags. The OMSO2G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 146 Mbytes. proprietary
-OMSO2_003 OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.umm_json The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources. Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li. The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds. proprietary
OMSO2_003 OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.umm_json The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004 (1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly available from NASA GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm. It also contains quality flags, geolocation and other ancillary information. The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu). OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php ) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/. For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below. http://disc.sci.gsfc.nasa.gov/Aura/ http://disc.gsfc.nasa.gov/acdisc/ proprietary
+OMSO2_003 OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.umm_json The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources. Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li. The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds. proprietary
OMSO2_CPR_003 OMI/Aura Level 2 Sulphur Dioxide (SO2) Trace Gas Column Data 1-Orbit Subset and Collocated Swath along CloudSat V003 (OMSO2_CPR) at GES DISC GES_DISC STAC Catalog 2006-06-01 2018-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350970-GES_DISC.umm_json "This is a CloudSat-collocated subset of the original product OMSO2, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this CloudSat-collocated subset of the original product OMSO2 Product is OMSO2_CPR_V003) This document describes the original OMI SO2 product (OMSO2) produced from global mode UV measurements of the Ozone Monitoring Instrument (OMI). OMI was launched on July 15, 2004 on the EOS Aura satellite, which is in a sun-synchronous ascending polar orbit with 1:45pm local equator crossing time. The data collection started on August 17, 2004 (orbit 482) and continues to this day with only minor data gaps. The minimum SO2 mass detectable by OMI is about two orders of magnitude smaller than the detection threshold of the legacy Total Ozone Mapping Spectrometer (TOMS) SO2 data (1978-2005) [Krueger et al 1995]. This is due to smaller OMI footprint and the use of wavelengths better optimized for separating O3 from SO2. The product file, called a data granule, covers the sunlit portion of the orbit with an approximately 2600 km wide swath containing 60 pixels per viewing line. During normal operations, 14 or 15 granules are produced daily, providing fully contiguous coverage of the globe. Currently, OMSO2 products are not produced when OMI goes into the ""zoom mode"" for one day every 452 orbits (~32 days). For each OMI pixel we provide 4 different estimates of the column density of SO2 in Dobson Units (1DU=2.69x10^16 molecules/cm2) obtained by making different assumptions about the vertical distribution of the SO2. However, it is important to note that in most cases the precise vertical distribution of SO2 is unimportant. The users can use either the SO2 plume height, or the center of mass altitude (CMA) derived from SO2 vertical distribution, to interpolate between the 4 values: 1)Planetary Boundary Layer (PBL) SO2 column (ColumnAmountSO2_PBL), corresponding to CMA of 0.9 km. 2)Lower tropospheric SO2 column (ColumnAmountSO2_TRL), corresponding to CMA of 2.5 km. 3)Middle tropospheric SO2 column, (ColumnAmountSO2_TRM), usually produced by volcanic degassing, corresponding to CMA of 7.5 km, 4)Upper tropospheric and Stratospheric SO2 column (ColumnAmountSO2_STL), usually produced by explosive volcanic eruption, corresponding to CMA of 17 km. The accuracy and precision of the derived SO2 columns vary significantly with the SO2 CMA and column amount, observational geometry, and slant column ozone. OMI becomes more sensitive to SO2 above clouds and snow/ice, and less sensitive to SO2 below clouds. Preliminary error estimates are discussed below (see Data Quality Assessment). OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 9 Mbytes." proprietary
OMSO2e_003 OMI/Aura Sulfur Dioxide (SO2) Total Column Daily L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3 (OMSO2e) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136112-GES_DISC.umm_json "The OMI science team produces this Level-3 Aura/OMI Global OMSO2e Data Products (0.25 degree Latitude/Longitude grids). In this Level-3 daily global SO2 data product, each grid contains only one observation of Total Column Density of SO2 in the Planetary Boundary Layer (PBL), based on an improved Principal Component Analysis (PCA) Algorithm. This single observation is the ""best pixel"", selected from all ""good"" L2 pixels of OMSO2 that overlap this grid and have UTC time between UTC times of 00:00:00 and 23:59:59.999. In addition to the SO2 Vertical column value some ancillary parameters, e.g., cloud fraction, terrain height, scene number, solar and satellite viewing angles, row anomaly flags, and quality flags have been also made available corresponding to the best selected SO2 data pixel in each grid. The OMSO2e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5) using the grid model." proprietary
OMTO3G_003 OMI/Aura Ozone (O3) Total Column Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMTO3G) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136114-GES_DISC.umm_json This Level-2G daily global gridded product OMTO3G is based on the pixel level OMI Level-2 Total Ozone Product OMTO3. The OMTO3 product is from the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. The OMTO3G data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree global grids. It contains the data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMTO3G data product contains almost all parameters that are contained in the OMTO3. For example, in addition to the total column ozone it also contains UV aerosol index, cloud fraction, cloud pressure, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The OMTO3G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 150 Mbytes. proprietary
-OMTO3_003 OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.umm_json The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ . proprietary
OMTO3_003 OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.umm_json The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia. The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB. proprietary
+OMTO3_003 OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.umm_json The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ . proprietary
OMTO3_CPR_003 OMI/Aura Level 2 Ozone (O3) Total Column 1-Orbit Subset and Collocated Swath along CloudSat track 200-km wide at 13x24 km2 resolution GES_DISC STAC Catalog 2006-06-01 2018-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350982-GES_DISC.umm_json This is a CloudSat-collocated subset of the original product OMTO3, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this CloudSat-collocated OMI Level 2 Total Ozone Column subset is OMTO3_CPR_V003) proprietary
OMTO3d_003 OMI/Aura TOMS-Like Ozone, Aerosol Index, Cloud Radiance Fraction L3 1 day 1 degree x 1 degree V3 (OMTO3d) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136070-GES_DISC.umm_json The OMI science team produces this Level-3 daily global TOMS-Like Total Column Ozone gridded product OMTO3d (1 deg Lat/Lon grids). The OMTO3d product is produced by gridding and averaging only good quality level-2 total column ozone orbital swath data (OMTO3, based on the enhanced TOMS version-8 algorithm) on the 1x1 degree global grids. The OMTO3d files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3d data product is about 0.65 Mbytes. proprietary
-OMTO3e_003 OMI/Aura TOMS-Like Ozone and Radiative Cloud Fraction L3 1 day 0.25 degree x 0.25 degree V3 (OMTO3e) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136071-GES_DISC.umm_json The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. The OMTO3e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. proprietary
OMTO3e_003 OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.umm_json The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) . proprietary
+OMTO3e_003 OMI/Aura TOMS-Like Ozone and Radiative Cloud Fraction L3 1 day 0.25 degree x 0.25 degree V3 (OMTO3e) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136071-GES_DISC.umm_json The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. The OMTO3e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. proprietary
OMUANC_004 Primary Ancillary Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km V4 (OMUANC) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2556143653-GES_DISC.umm_json The Primary Ancillary Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km (OMUANC) provides selected parameters from GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI UV-2 swath. The fields in this product include snow cover, sea ice cover, land cover, terrain height, row anomaly flag, and pixel area. The OMI team also provides a corresponding product for the OMI VIS swath, OMVANC. This product has been generated for convenient use by the OMI/Aura team in their L2 algorithms, and for research where those L2 products are used. The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI UV-2 spatial resolution is 13km x 24km at nadir. The OMUANC files are in netCDF4 format which is compatible with most netCDF and HDF5 readers and tools. Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official. proprietary
OMUFPITMET_003 GEOS-5 FP-IT Assimilation Geo-colocated to OMI/Aura UV-2 1-Orbit L2 Support Swath 13x24km V3 (OMUFPITMET) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1561222825-GES_DISC.umm_json The GEOS-5 FP-IT Assimilation Geo-colocated to OMI/Aura UV-2 1-Orbit L2 Support Swath 13x24km (OMUFPITMET) provides selected parameters from GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI UV-2 swath. The fields in this product include surface pressure, vertical temperature profiles, surface and vertical wind profiles, tropopause pressure, boundary layer top pressure, and surface geopotenial. The OMI team also provides a corresponding product for the OMI VIS swath, OMVFPITMET. The product has been generated for convenient use by the OMI/Aura team in their L2 algorithms, and for research where those L2 products are used. The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI UV-2 spatial resolution is 13km x 24km at nadir. To reduce the size of each orbital file, FP-IT data fields with a vertical dimension of 72 layers have been reduced to 47 layers in OMUFPITMET by combining layers above the troposphere. The OMUFPITMET files are in netCDF4 format which is compatible with most HDF5 readers and tools. Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official. proprietary
OMUFPMET_004 GEOS-5 FP-IT 3D Time-Averaged Model-Layer Assimilated Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km V4 (OMUFPMET) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2556146042-GES_DISC.umm_json The GEOS-5 FP-IT 3D Time-Averaged Model-Layer Assimilated Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km (OMUFPMET) product provides selected meteorlogical fields from the GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI UV-2 swath. The fields in this product include layer pressure thickness, surface pressure, vertical temperature profiles, surface potential, and mid-layer pressure along with geolocation info. The OMI team also provides a corresponding product for the OMI VIS swath, OMVFPMET. The OMI ancillary products were developed to provide supplementary information for use with the OMI collection 4 L1B data sets. The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI UV-2 spatial resolution is 13km x 24km at nadir. The OMUFPMET files are in netCDF4 format which is compatible with most netCDF and HDF5 readers and tools. Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official. proprietary
@@ -11772,6 +11919,7 @@ PRONEX_0 Programa de Apoio a Nucleos de Excelencia (PRONEX) OB_DAAC STAC Catalog
PSD1-Nottingham_1 Genetic variation in the lichens Buellia frigida and Xanthoria elegans from the Vestfold Hills, eastern Antarctica AU_AADC STAC Catalog 1999-11-01 1999-12-16 62.21558, -68.78017, 78.69507, -67.41671 https://cmr.earthdata.nasa.gov/search/concepts/C1214313708-AU_AADC.umm_json Antarctica is a desert continent dominated by micro-organisms. The seals and penguins, which are conspicuous around its margins, depend upon the sea for their food resources and are effectively part of the marine food chain. Life depends upon the availability of free water. In Antarctica water is usually locked up in ice, only in summer is there free water in the terrestrial environment. Not only is water limited, but low temperatures and low levels of nutrients severely limit the scope for growth among the micro-organisms that have managed to colonise the continent. Propagules are brought to the continent in a number of ways. Some arrive in the air masses that flow around the Earth. Once deposited some simply cannot survive the extreme conditions, while others may become established. Other species of micro-organism may be introduced by Man around the scientific stations on the continent. During the ice-ages which have occurred repeatedly through geological history, micro-organisms may have survived in refugia offered by nunataks or in the ice, and have recolonised more widely following ice retreat. This project will concentrate on one group of micro-organisms, the fungi. We will use special air samplers to determine which species are brought to the continent in the winds and we will compare the propagules from these samplers with the species living in the 'soil' and samples grown up from ice samples, where the resting spores can remain dormant of hundreds of years. We will analyse the communities of fungi that are found in the proximity of scientific stations and compare them with 'natural' communities in Antarctica, to determine what impact Man has had on introducing fungal species. The data generated will provide us with an insight into the colonisation of Antarctica by fungi. As global warming continues, species hitherto unable to establish may be able to do so. It is important to have a baseline on what is currently living on the continent, so that we can monitor the establishment of new species in the future. Thalli of the lichens Buellia frigida and Xanthoria elegans were collected from five different locations each 5-15 km apart in the Vestfold Hills, Princess Elizabeth Land, eastern Antarctica. A further collection was made from Mawson Station, Mac Robertson Land, eastern Antarctica 660 km away. DNA was extracted from whole thalli and the ribosomal ITS region amplified by PCR using fungal specific primers. Resulting products were sequenced to gain an indication of whether or not variation was present within populations of lichen-forming fungi from continental Antarctica, and therefore of the availability of genetic resources to react to pressures such as climate change. Three genotypes of B. frigida and two of X. elegans were detected in the Vestfold Hill collections. However, these differed by only one nucleotide position suggesting the presence of relatively little genetic variation if the ITS region is indicative of the overall genome. B. frigida collected from Mawson Station had an identical ITS region sequence to the most common Vestfold Hills genotype, indicating that this species may have a low level of genetic variation across much of eastern Antarctica. In contrast, X. elegans collected from Mawson showed considerable genetic variation from the Vestfolds thalli, differing at 14.2 % of nucleotide positions and had an identical ITS region sequence to an isolate from maritime Antarctica 4960 km away. Samples from the Vestfold Hills formed a distinct cluster in a phylogenetic analysis of ITS sequences from a worldwide collection of X. elegans isolates. The collection sites used in this study were: Lichen Valley, Vestfold Hills Stalker Hill, Vestfold Hills Ellis Rapids, Vestfold Hills Trajer Ridge, Vestfold Hills Boulder Hill, Vestfold Hills Mawson Station. The DNA sequences arising from the lichens can be accessed from Genbanks Entrez Nucleotide Sequence Search, the accession numbers are: AF276066-AF276070 AF281306-AF281307 AF278753-AF278757 This work was carried out as part of ASAC project 1201 (ASAC_1201). proprietary
PSScene3Band_1 PlanetScope Satellite Imagery 3 Band Scene CSDA STAC Catalog 2014-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2112982481-CSDA.umm_json The Planet Scope 3 band collection contains satellite imagery obtained from Planet Labs, Inc by the Commercial Smallsat Data Acquisition (CSDA) Program. This satellite imagery is in the visible waveband range with data in the red, green, and blue wavelengths. These data are collected by Planets Dove, Super Dove, and Blue Super Dove instruments collected from across the global land surface from June 2014 to present. Data have a spatial resolution of 3.7 meters at nadir and provided in GeoTIFF format. Data access are restricted to US Government funded investigators approved by the CSDA Program. proprietary
PTLO_0 Measurements from Monterey Bay from 2001 to 2003 OB_DAAC STAC Catalog 2001-09-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360626-OB_DAAC.umm_json Measurements from Monterey Bay from 2001 to 2003. proprietary
+PVST_HOTPACE_0 Leveraging the Hawaii Ocean Time-series program for validation of the PACE Mission in oligotrophic waters OB_DAAC STAC Catalog 2024-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3237734838-OB_DAAC.umm_json In this project, we leverage the near-monthly, 5-day long expeditions to oligotrophic waters approximately 100 km from Oahu, Hawaii, conducted by the Hawaii Ocean Time-series (HOT) program. We will participate in ~30 HOT cruises across all seasons over a 3-year period, amounting to ~ 150 days of high-quality collection of a suite of essential parameters for PACE Mission validation. proprietary
PVST_NORTHERN_INDIAN_OCEAN_0 Arabian Sea bio-optical and biogeochemical data for ocean color validation OB_DAAC STAC Catalog 2024-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3213660434-OB_DAAC.umm_json This project will collect high-quality, bio-optical, and biogeochemical data for validation of advanced satellite products from PACE OCI for the Arabian Sea, a highly under-sampled region of the worlds oceans, now experiencing dramatic ecosystem changes from human activities and climate-change. Over the past two decades, the base of the food chain of this monsoonal-driven ecosystem has transitioned from diatoms to one dominated by the mixotrophic dinoflagellate, Noctiluca scintillans (Noctiluca) that forms intense and widespread blooms visible from space. Capturing such phytoplankton transitions has been the pursuit of ocean color missions for more than three decades, and with its hyperspectral capabilities, NASAs PACE mission can now provide unprecedented insight into the response of phytoplankton communities to global pressures. Despite the dramatic rates at which the Arabian Sea has been changing, it remains among the most optically under-sampled of global water bodies. As part of this effort, we will leverage our long-standing ties with colleagues in India to collect high quality, high resolution (sub-pixel scale), continuous, underway and discrete bio-optical measurements to validate standard and advanced ocean products from PACE, essential to advance our understanding of vulnerable marine ecosystems and their response to anthropogenic change. As part of this activity, we plan to participate in one pre-monsoon cruise (2025) led by Space Applications Centre, ISRO, India, and two post-bloom ONR led cruises in April-May of 2024 and in April-May 2025. The pre-monsoon cruises are being undertaken as part of an Indo-US study focused on establishing triggers of the southwest monsoon rainfall season over the Indian sub-continent. Some of the data shared under this DOI is part of the Arabian Sea Marine environment through Science and Advanced Training (EKAMSAT) collaborative effort between the Ministry of Earth Sciences, Govt. of India and the Office of Naval Research. EKAMSAT commenced with a pilot study in June 2023. The pilot data is being archived under the SeaBASS experiment EKAMSAT_Pilot_ASTRAL (DOI: 10.5067/SeaBASS/EKAMSAT_Pilot_ASTRAL/DATA001) and can downloaded here: https://seabass.gsfc.nasa.gov/experiment/EKAMSAT_Pilot_ASTRAL. proprietary
PVST_PRINGLS_0 PACE Radiometry and IOPs for Novel Great Lakes Science OB_DAAC STAC Catalog 2024-04-01 2026-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2945078437-OB_DAAC.umm_json The Laurentian Great Lakes provide extensive optical and trophic variability across diverse ecosystems, from environments challenged by current and legacy nutrient pollution and continuing water quality impairments, e.g., harmful algal blooms (HABs) and hypoxia, to relatively pristine aquatic systems with emerging water quality concerns such as Lake Superior. This project will conduct high density sampling of the Great Lakes in space and time to provide a diversity of reflectance spectra broadly representative of the fundamental inherent optical properties (IOPs) and biogeochemical conditions observed across inland and coastal systems globally. Station locations are responsive to in situ conditions and potential for PACE validation, but are generally located in Lake Eries western and central basins, southwestern Lake Michigan and Green Bay, and the central basin and the western arm of Lake Superior. Sampling uses coastal class vessels that enable rapid transit between stations and range in size from 25 to 70 ft. Data collected includes above water radiometry (SVC HR-512i), discrete spectral absorption (ap, aph, aNAP, aCDOM), hyperspectral backscattering (Sequoia hyper-bb), physical and optical biogeochemical variability (YSI EXO2 water quality sonde), and discrete biogeochemical parameters (HPLC pigments, DOC, POC, and SPM). Data will be collected in every month of the year over the course of a three-year period, ensuring seasonal matchups for PACE OCI science data products in the winter and shoulder seasons that remain chronically under observed. proprietary
PVST_SBCR_0 Coastal campaigns for the validation of the OCI water-leaving reflectance data product OB_DAAC STAC Catalog 2024-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3213661595-OB_DAAC.umm_json Rapid response field campaigns (small boats, small crew) to measure radiometry in the Santa Barbara Channel when sea and sky conditions are optimal for matchups. Process and deliver in situ high quality radiometric data for the validation of the reflectance data product of the PACE OCI instrument. proprietary
@@ -12414,17 +12562,82 @@ SNEX17_GPR_2 SnowEx17 Ground Penetrating Radar V002 NSIDC_ECS STAC Catalog 2017-
SNEX17_GPR_Raw_1 SnowEx17 Ground Penetrating Radar Raw V001 NSIDC_ECS STAC Catalog 2017-02-08 2017-02-25 -109.05, 37, -102.05, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1546184063-NSIDC_ECS.umm_json This data set contains the RAW and UNPROCESSED results of a ground penetrating radar survey conducted as part of the 2017 SnowEx campaign. The processed data can be found here: https://dx.doi.org/10.5067/NPZYNEEUGQUO Data were collected between 08 February 2017 and 25 February 2017 at Grand Mesa, Colorado. Grand Mesa is a snow-covered, forested study site about 40 miles east of Grand Junction, Colorado. proprietary
SNEX17_KT15_TB_1 SnowEx17 KT-15 Infrared Brightness Temperature V001 NSIDC_ECS STAC Catalog 2017-02-10 2017-02-25 -109.050072, 36.993108, -102.042125, 40.000656 https://cmr.earthdata.nasa.gov/search/concepts/C1550139370-NSIDC_ECS.umm_json This data set contains brightness temperature readings. Brightness temperatures were measured using a KT-15 pyrometer flown on a P-3 aircraft over 2017 SnowEx campaign study areas in Colorado, USA: Grand Mesa, a snow-covered, forested study site about 40 miles east of Grand Junction; and Senator Beck Basin, approximately 80 miles to the SSE of Grand Mesa. Data represents the nadir brightness temperature below the aircraft. proprietary
SNEX17_P3V_1 SnowEx17 P-3 Airborne Video V001 NSIDC_ECS STAC Catalog 2017-02-15 2017-02-25 -109.050072, 36.993108, -102.042125, 41.000656 https://cmr.earthdata.nasa.gov/search/concepts/C1549510022-NSIDC_ECS.umm_json This data set contains video footage of two locations in Colorado, USA: Grand Mesa, a snow-covered forested study site about 40 miles east of Grand Junction, and Senator Beck Basin, approximately 80 miles to the SSE of Grand Mesa. Video footage was captured using a video camera mounted to the belly of a P-3 aircraft during the 2017 SnowEx science flights. The video footage is raw. proprietary
+SNEX17_QWIP_ST_1 SnowEx17 UM Quantum Well Infrared Photodetector (QWIP) Surface Temperature V001 NSIDC_ECS STAC Catalog 2017-02-16 2017-02-25 -109.050072, 36.993108, -102.042125, 41.000656 https://cmr.earthdata.nasa.gov/search/concepts/C1556467147-NSIDC_ECS.umm_json "This data set contains infrared camera images collected during the 2017 SnowEx campaign in Grand Mesa and Senator Beck Basin, Colorado. Images were taken using a Quantum Well Infrared Photodetector (QWIP) camera system manufactured by QmagiQ and mounted to the P-3 aircraft, which was flown over the study areas. The QWIP camera records images at a rate of 60 Hz and has a field of view of 11x9 degrees. The QWIP camera can distinguish temperature variations of approximately 0.02°C. This data set contains raw QWIP data, presented as ""counts."" Data are contained in TIFF image files with dimensions of 320x256 counts." proprietary
SNEX17_SBR_1 SnowEx17 Radiometrics Surface-Based Radiometer Brightness Temperatures V001 NSIDC_ECS STAC Catalog 2017-02-14 2017-02-18 -108.2313453, 39.02098, -107.846975, 39.10552 https://cmr.earthdata.nasa.gov/search/concepts/C1597736755-NSIDC_ECS.umm_json This data set consists of surface-based radiometer (SBR) brightness temperatures of the snow surface and vegetation at Grand Mesa, CO, USA, acquired during NASA's 2017 SnowEx campaign. Four SBRs were deployed in the field and obtained measurements at 89, 37, 19, and 10.67 GHz in both vertical (V-pol) and horizontal (H-pol) polarizations. Data are available for 37 locations across Grand Mesa collected over five days in February, 2017. They include both 2-4 minute observations and 20 minute, continuous measurements during surface melt, with the latter designed to capture the brightness temperature increase caused by the presence of liquid water in the snow. This data set also contains snowfork measurements of snow wetness for 13 sites. proprietary
SNEX17_SD_1 SnowEx17 Community Snow Depth Probe Measurements V001 NSIDC_ECS STAC Catalog 2017-02-06 2017-02-25 -108.2, 39, -107.8, 39.1 https://cmr.earthdata.nasa.gov/search/concepts/C1519650284-NSIDC_ECS.umm_json This data set, part of the SnowEx 2017 campaign, contains in situ snow depth measurements at two locations in Colorado, USA: Grand Mesa, a snow-covered, forested study site about 40 miles east of Grand Junction; and Senator Beck Basin approximately 80 miles to the SSE of Grand Mesa. Measurements were obtained approximately 3 meters apart along multiple transects, using either a standard, handheld 3 meter long probe or a 1.2 meter long MagnaProbe. proprietary
-SNEX17_SD_Perm_1 SnowEx17 GPR and Lidar-Derived Snowpack Relative Permittivities and Densities V001 NSIDC_ECS STAC Catalog 2017-02-08 2017-02-25 -108.2195, 39.0005, -107.86, 39.106 https://cmr.earthdata.nasa.gov/search/concepts/C3234861962-NSIDC_ECS.umm_json This data set contains the results of 1 GHz ground-penetrating radar surveys (GPR) conducted in Colorado, USA as part of the NASA SnowEx 2017 field campaign. Data was collected between 08 Feb 2017 to 25 Feb 2017 from Grand Mesa, a snow-covered, forested area about 40 miles east of Grand Junction. Data include two-way travel (TWT) time, lidar-measured snow depth, calculated snow water equivalent (SWE), calculated snow density, and calculated relative permittivity. proprietary
SNEX17_SMP2_1 SnowEx17 Senator Beck SnowMicroPen (SMP) Raw Penetration Force Profiles V001 NSIDC_ECS STAC Catalog 2017-02-06 2017-02-20 -107.752128, 37.856078, -107.6725, 37.940572 https://cmr.earthdata.nasa.gov/search/concepts/C1720458466-NSIDC_ECS.umm_json This data set consists of raw penetration force profiles measured at 8 different snow pits located in Senator Beck, Colorado using the SnowMicroPen (SMP), a digital snow penetrometer. The data files contain force measurements (in Newtons) at various snow depths. proprietary
SNEX17_SMP_1 SnowEx17 SnowMicroPen (SMP) Raw Penetration Force Profiles V001 NSIDC_ECS STAC Catalog 2017-02-07 2017-02-25 -108.2291924, 37.856078, -107.6725, 39.02768 https://cmr.earthdata.nasa.gov/search/concepts/C1423026967-NSIDC_ECS.umm_json This data set contains raw penetration force profiles measured at snow pits and along linear transects at Grand Mesa, Colorado using the SnowMicroPen (SMP), a digital snow penetrometer. The data files contain force measurements (in Newtons) at various snow depths. proprietary
SNEX17_SSA_1 SnowEx17 Laser Snow Microstructure Specific Surface Area Data V001 NSIDC_ECS STAC Catalog 2017-02-07 2017-02-25 -108.21907, 39.00035, -107.86944, 39.10595 https://cmr.earthdata.nasa.gov/search/concepts/C1460448213-NSIDC_ECS.umm_json This data set reports vertical profiles of snow reflectance, specific surface area (SSA), and optical equivalent diameter (grain size) at Grand Mesa, Colorado, USA, a snow-covered, forested study site about 40 miles east of the city of Grand Junction, CO. Reflectance was measured in situ using a 1310 nm integrating sphere laser device and converted to SSA and optical equivalent diameter. proprietary
+SNEX17_SSD_1 SnowEx17 Time Series Sonic Snow Depth Measurement Array V001 NSIDC_ECS STAC Catalog 2016-10-12 2017-07-03 -108.0545976, 39.0275519, -107.9335668, 39.0343045 https://cmr.earthdata.nasa.gov/search/concepts/C1527470986-NSIDC_ECS.umm_json This data set contains 15-min snow depth observations for two study sites on Grand Mesa, CO, USA, acquired as part of NASA's 2017 SnowEx campaign. The data were recorded using two arrays of Judd Communications Ultrasonic Depth Sensors, configured as a TLS K footprint on the west side of the mesa and a TLS N footprint in the east. The sensors were positioned to represent three primary vegetation conditions: open-canopy; canopy-edge; and closed-canopy. A total of 10 and 7 sensors recorded usable data at the west and east sites, respectively, from the beginning of the snow season in November 2016 through the end in June 2017. These data can be used for a variety of purposes, including: model forcing, calibration, and validation; evaluation of airborne and satellite remote sensing data; to analyze how vegetation affects snow accumulation and ablation. proprietary
SNEX17_SnowPits_1 SnowEx17 Community Snow Pit Measurements V001 NSIDC_ECS STAC Catalog 2017-02-06 2017-02-25 -108.2, 37.8, -107.65, 39.1 https://cmr.earthdata.nasa.gov/search/concepts/C1518642794-NSIDC_ECS.umm_json This data set contains measurements of snow temperature, density, stratigraphy, grain size, wetness, depth, and snow water equivalent (SWE) for snow pits at two study sites in Colorado, USA: Grand Mesa and Senator Beck Basin. Data were collected during the NASA SnowEx 2017 campaign. proprietary
+SNEX17_SnowSAR_1 SnowEx17 SnowSAR Multi-look Synthetic Aperture Radar Backscatter Amplitude Images V001 NSIDC_ECS STAC Catalog 2017-02-16 2017-02-22 -109.05, 37, -102.05, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1708383658-NSIDC_ECS.umm_json This data set, part of the SnowEx 2017 campaign, contains multi-look synthetic aperture radar (SAR) amplitude images. The images are stored in netCDF files; browse images are also available. Data were collected using the SnowSAR instrument at the X (9.6 GHz) and Ku (17.25 GHz) bands. The SnowSAR instrument flew on the NP-3C Orion aircraft and captured data from across Colorado, including near the SnowEx 2017 Grand Mesa, Colorado study site and Vail, Colorado. Data were acquired between 16 February 2017 and 22 February 2017 and have a resolution of 1 meter by 1 meter. proprietary
+SNEX17_SnowSAR_Raw_1 SnowEx17 SnowSAR Raw FMCW Waveforms V001 NSIDC_ECS STAC Catalog 2017-02-16 2017-02-22 -109.05, 37, -102.05, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1722859882-NSIDC_ECS.umm_json This data set, part of the SnowEx 2017 campaign, contains raw data captured from the SnowSAR instrument. The processed SnowSAR data are also archived at NSIDC (DOI: 10.5067/TWRTXCYBCBB8). The SnowSAR instrument flew on the NP-3C Orion aircraft and collected data at the X (9.6 GHz) and Ku (17.25 GHz) bands. Data were captured across Colorado, including near the SnowEx 2017 Grand Mesa, Colorado study site and Vail, Colorado. Data were acquired between 16 February 2017 and 22 February 2017. proprietary
+SNEX17_TLI_1 SnowEx17 Time-Lapse Imagery V001 NSIDC_ECS STAC Catalog 2016-09-27 2017-10-05 -108.216, 37.9076, -107.7102, 39.055 https://cmr.earthdata.nasa.gov/search/concepts/C2176470394-NSIDC_ECS.umm_json This data set contains time-lapse images. Cameras were placed around Grand Mesa, CO at 34 sites and around Senator Beck Basin, CO at one site, coincident with other SnowEx 2017 measurements, including the TLS scans, sonic snow depth arrays, weather stations, and local scale observation sites. proprietary
SNEX17_TLS_PC_BSU_1 SnowEx17 Boise State University Terrestrial Laser Scanner (TLS) Point Cloud V001 NSIDC_ECS STAC Catalog 2016-09-26 2017-02-25 -108.146, 39, -108.025, 39.041 https://cmr.earthdata.nasa.gov/search/concepts/C1586132415-NSIDC_ECS.umm_json This data set contains terrestrial laser scanner (TLS) point cloud data collected as part of the 2017 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2016) and snow-on (February 2017) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). These TLS data can be used to determine snow depth and explore the interactions between snow and vegetation. proprietary
SNEX17_TLS_PC_BSU_Raw_1 SnowEx17 Boise State University Raw Terrestrial Laser Scanner (TLS) Point Cloud V001 NSIDC_ECS STAC Catalog 2016-09-26 2017-02-25 -108.146, 39, -108.025, 39.041 https://cmr.earthdata.nasa.gov/search/concepts/C1591634974-NSIDC_ECS.umm_json This data set contains raw, unprocessed terrestrial laser scanner (TLS) point cloud data collected as part of the 2017 SnowEx campaign in Grand Mesa, Colorado. Data were collected in the fall (September 2016) and winter (February 2017). Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). proprietary
SNEX17_TLS_PC_CRREL_1 SnowEx17 CRREL Terrestrial Laser Scanner (TLS) Point Cloud V001 NSIDC_ECS STAC Catalog 2016-09-26 2017-02-17 -108.22, 39.012, -107.93, 39.05 https://cmr.earthdata.nasa.gov/search/concepts/C1595052278-NSIDC_ECS.umm_json This data set contains terrestrial LIDAR survey (TLS) point cloud data collected at Grand Mesa, Colorado as part of the 2017 SnowEx campaign. Data were collected in the fall (September and October) and winter (February) seasons. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), along with ancillary information, such as intensity (i) and color (R,G,B), where available. This is unprocessed data which has not been classified by land use (e.g. bare earth, low vegetation, trees). proprietary
SNEX17_UWScat_1 SnowEx17 Ground-Based UWScat Ku- and X-Band Frequency Modulated Continuous Wave Radar V001 NSIDC_ECS STAC Catalog 2017-02-21 2017-02-25 -108.09457, 39.017636, -108.032553, 39.05385 https://cmr.earthdata.nasa.gov/search/concepts/C1525987661-NSIDC_ECS.umm_json This data set consists of ground-based scatterometer data acquired during the SnowEx 2017 campaign at Grand Mesa, Colorado, USA, a snow-covered, forested study site about 40 miles east of the city of Grand Junction, CO. The data comprise operational parameters used during data acquisition, Mueller matrices for each acquisition, and the nearfield-corrected normalized radar cross section (NRCS) in VV, VH, HV, and HH polarizations. Range profile data are also provided for each scan which report the raw power returned as a function of range from the antenna. proprietary
+SNEX20_A19_GSM_1 SnowEx20 Grand Mesa Autumn 2019 Gravimetric Soil Moisture V001 NSIDC_ECS STAC Catalog 2019-11-04 2019-11-06 -108.216254, 39.005715, -108.153539, 39.032624 https://cmr.earthdata.nasa.gov/search/concepts/C2053928182-NSIDC_ECS.umm_json Gravimetric soil moisture data measured from collected soil samples in autumn 2019 as part of the NASA SnowEx 2020 campaign at Grand Mesa, CO. A total of 77 soil samples were taken at snow pit locations, soil moisture stations, and other areas where both the mobile and stationary COsmic-ray Soil Moisture Observing Systems (COSMOS) operated. proprietary
+SNEX20_A19_SD_1 SnowEx20 Grand Mesa Autumn 2019 Snow Depth V001 NSIDC_ECS STAC Catalog 2019-11-04 2019-11-07 -108.212901, 39.003473, -108.129346, 39.043616 https://cmr.earthdata.nasa.gov/search/concepts/C2107120672-NSIDC_ECS.umm_json Snow depth was measured in autumn 2019 as part of the NASA SnowEx 2020 campaign at Grand Mesa, CO. Measurements were taken in the vicinity of snow pit locations and between pit locations using a Magnaprobe or manual depth probes. proprietary
+SNEX20_A19_SP_1 SnowEx20 Grand Mesa Autumn 2019 Snow Pits V001 NSIDC_ECS STAC Catalog 2019-11-04 2019-11-06 -108.201372, 39.008296, -108.150626, 39.046174 https://cmr.earthdata.nasa.gov/search/concepts/C2135287770-NSIDC_ECS.umm_json This data set contains snow pit measurements obtained as part of the SnowEx 2020 campaign at the Grand Mesa, Colorado, USA site in Autumn 2019. 21 locations were visited for snow pit observations. Some snow pit measurements are incomplete due to shallow or discontinuous snow cover. proprietary
+SNEX20_A19_SWE_1 SnowEx20 Grand Mesa Autumn 2019 Snow Water Equivalent V001 NSIDC_ECS STAC Catalog 2019-11-03 2019-11-06 -108.210066, 39.008324, -108.133243, 39.045793 https://cmr.earthdata.nasa.gov/search/concepts/C2053928728-NSIDC_ECS.umm_json Snow water equivalent (SWE) measurements of the autumn shallow snow were obtained using SWE samplers (also referred to as SWE tubes) during the NASA SnowEx 2020 campaign (03-06 Nov. 2019) at Grand Mesa, CO. 221 measurements were taken in the vicinity of snow pit locations. proprietary
+SNEX20_BR_BSU_SMP_1 SnowEx20 Boise River Basin SnowMicroPen (SMP) Raw Penetration Force Profiles V001 NSIDC_ECS STAC Catalog 2019-12-18 2020-01-24 -116.0909, 43.75724, -115.23445, 44.30331 https://cmr.earthdata.nasa.gov/search/concepts/C2759079563-NSIDC_ECS.umm_json This data set contains raw penetration force profiles from the SnowEx 2020 Time Series campaign in the Boise River Basin in Idaho. Measurements were taken using the SnowMicroPen (SMP), a digital snow penetrometer, from three snow pits. The data files contain force measurements of the snowpack from the top of the snow surface to the ground. Measurements took place approximately weekly between 18 December 2019 and 24 January 2020. proprietary
+SNEX20_BSU_CMP_Raw_1 SnowEx20 Grand Mesa IOP BSU Multi-polarization 1 GHz GPR CMP Raw V001 NSIDC_ECS STAC Catalog 2020-01-31 2020-02-01 -108.198261, 39.021584, -108.197754, 39.03467 https://cmr.earthdata.nasa.gov/search/concepts/C1997892408-NSIDC_ECS.umm_json This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain the geolocated, unprocessed, common midpoint (CMP) gathers from a Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR). Multi-offset gathers were collected by placing antennas on the snow surface and expanding the antenna separation about a fixed midpoint out to a 2 m offset. CMP gathers were collected in HH and HV polarizations. Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8 were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3). These data can be used to estimate snow depth, snow density, and snow water equivalent (SWE). proprietary
+SNEX20_BSU_CMP_SWE_1 SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR CMP Snow Water Equivalent V001 NSIDC_ECS STAC Catalog 2020-01-31 2020-02-01 -108.19, 39.02, -108.19, 39.02 https://cmr.earthdata.nasa.gov/search/concepts/C1998359549-NSIDC_ECS.umm_json This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain snow water equivalent (SWE) estimates. SWE is derived from Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR) two-way travel times. Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8 were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3). The raw version of these data (DOI: 10.5067/CL5ZRBCEF8G3) are also archived at NSIDC. proprietary
+SNEX20_BSU_CMP_TT_1 SnowEx20 Grand Mesa IOP BSU Multi-polarization 1 GHz GPR CMP Travel-Times V001 NSIDC_ECS STAC Catalog 2020-01-31 2020-02-01 -108.19, 39.02, -108.19, 39.02 https://cmr.earthdata.nasa.gov/search/concepts/C1998360094-NSIDC_ECS.umm_json This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain the radar two-way travel times from a Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR). Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8 were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3). The raw version of these data (DOI: 10.5067/CL5ZRBCEF8G3) are also archived at NSIDC. proprietary
+SNEX20_BSU_GPR_1 SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR V001 NSIDC_ECS STAC Catalog 2020-01-28 2020-02-04 -108.206626, 39.002182, -108.159761, 39.038896 https://cmr.earthdata.nasa.gov/search/concepts/C1950140505-NSIDC_ECS.umm_json This data set contains snow water equivalent (SWE) and snow depth estimates derived from Ground Penetrating Radar (GPR) measurements. GPR measurements were collected during the SnowEx 2020 Grand Mesa Intensive Observation Period (IOP) between 28 January and 04 February 2020. Snow depth was estimated from GPR two-way travel times and average radar velocity; SWE was estimated from snow depth and snow density. These data are derived from the SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR Raw, Version 1 data set (DOI: 10.5067/CJNEM8UDNXKA) proprietary
+SNEX20_BSU_GPR_Raw_1 SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR Raw V001 NSIDC_ECS STAC Catalog 2020-01-28 2020-02-04 -108.206626, 39.002182, -108.159761, 39.038896 https://cmr.earthdata.nasa.gov/search/concepts/C1937994967-NSIDC_ECS.umm_json This data set contains the geolocated, unprocessed results of a ground penetrating radar survey conducted as part of the 2020 SnowEx campaign. Data were collected at Grand Mesa, Colorado (a snow-covered, forested study site) between 28 January 2020 and 04 February 2020. proprietary
+SNEX20_COCP_GPR_1 SnowEx20 Cameron Pass Ground Penetrating Radar V001 NSIDC_ECS STAC Catalog 2019-12-18 2020-03-12 -105.891, 40.51, -105.88, 40.52 https://cmr.earthdata.nasa.gov/search/concepts/C2025305209-NSIDC_ECS.umm_json This data set contains the results of ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx20 campaign. Data include two-way travel time, pit-measured snow density, calculated snow depth, and calculated snow water equivalent. Data were collected between 18 December 2019 and 12 March 2020 proprietary
+SNEX20_COCP_GPR_Raw_1 SnowEx20 Cameron Pass Ground Penetrating Radar Raw V001 NSIDC_ECS STAC Catalog 2019-12-18 2020-03-12 -105.891, 40.51, -105.88, 40.52 https://cmr.earthdata.nasa.gov/search/concepts/C2025305138-NSIDC_ECS.umm_json This data set contains the raw files from ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx20 campaign. Data were collected between 18 December 2019 and 12 March 2020. proprietary
+SNEX20_COCP_SPD_1 SnowEx20-21 Cameron Pass Derived Snowpack Relative Permittivities and Densities from Ground Penetrating Radar V001 NSIDC_ECS STAC Catalog 2019-12-18 2021-05-27 -105.8931, 40.5154, -105.8889, 40.5202 https://cmr.earthdata.nasa.gov/search/concepts/C2888869172-NSIDC_ECS.umm_json "This data set contains the results of ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx20 campaign. Data include two-way travel time, lidar-measured snow depth, derived snow water equivalent, derived snow density, and derived relative permittivity. Ground-penetrating radar two-way travel times were sourced from two previously published data sets: SnowEx20 Cameron Pass Ground Penetrating Radar, Version 1 and SnowEx21 Cameron Pass Ground Penetrating Radar, Version 1. The new data presented here represents a recalculation of the snow water equivalent (SWE), snow density, and relative permittivity using terrestrial lidar scan (TLS) data." proprietary
+SNEX20_CRSM_1 SnowEx20 COSMOS Rover Soil Moisture V001 NSIDC_ECS STAC Catalog 2019-11-04 2019-11-07 -108.23, 39, -108.09, 39.04 https://cmr.earthdata.nasa.gov/search/concepts/C1997892324-NSIDC_ECS.umm_json This data set contains the raw and processed data files from a COSMOS Rover soil moisture probe. The COSMOS Rover uses fast neutron counting to estimate soil moisture over a region up to 300m from the vehicle. Data were collected in one-minute intervals over four days (04 November to 07 November 2019) of driving around Grand Mesa, Colorado. Raw data parameters include atmospheric pressure, temperature, and relative humidity. These raw observations were converted to volumetric soil moisture in the processed data files. proprietary
+SNEX20_CSSM_1 SnowEx20 COSMOS Stationary Soil Moisture V001 NSIDC_ECS STAC Catalog 2019-08-26 2020-05-31 -108.215, 39.033, -108.215, 39.033 https://cmr.earthdata.nasa.gov/search/concepts/C1997891597-NSIDC_ECS.umm_json These data contain raw and processed hourly observations from a Hydroinnova COSMOS Stationary sensor probe. Parameters in the raw files include atmospheric pressure, temperature, and relative humidity. These observations were converted to volumetric soil moisture in the processed data files. Data were collected between 26 August 2019 and 31 May 2020 at Grand Mesa, Colorado and represent a 200 m to 300 m area around the instrument. proprietary
+SNEX20_DSM_1 SnowEx20 Grand Mesa In Situ Dielectric Soil Moisture V001 NSIDC_ECS STAC Catalog 2019-09-24 2020-06-03 -108.22, 39.004, -108.15, 39.037 https://cmr.earthdata.nasa.gov/search/concepts/C2053929094-NSIDC_ECS.umm_json This data set consists of soil moisture and soil temperature measurements taken during the SnowEx 2020 field campaign. Soil moisture probes were deployed at 10 stations within the Colorado Grand Mesa study area and monitored soil properties at three different depths (5, 10, and 20 cm). proprietary
+SNEX20_GIS_REF_1 SnowEx20 Grand Mesa Reference GIS Data Sets V001 NSIDC_ECS STAC Catalog 2019-09-21 2020-02-14 -108.225, 38.993, -107.863, 39.125 https://cmr.earthdata.nasa.gov/search/concepts/C2107120625-NSIDC_ECS.umm_json This data set contains geolocation information of the infrastructure locations for the SnowEx20 Intensive Observation Period (IOP) and Time Series (TS) campaigns. Available scientific infrastructure locations in this data set are tower and sensor locations, aircraft flight lines, planned and actual snow pit locations, and time-lapse camera locations. Additionally, this data set contains areal snow depth and tree density classification matrix over the Grand Mesa, CO study area. proprietary
+SNEX20_GM_CSU_GPR_1 SnowEx20 Grand Mesa IOP CSU 1GHz GPR V001 NSIDC_ECS STAC Catalog 2020-02-06 2020-02-09 -108.25, 39.015, -108, 39.04 https://cmr.earthdata.nasa.gov/search/concepts/C2083503776-NSIDC_ECS.umm_json This data set contains two-way travel times, snow depth and snow water equivalent (SWE) collected with a Sensors & Software 1GHz ground penetrating radar (GPR) as part of the SnowEx 2020 Intensive Observation Period (IOP) at Grand Mesa, Colorado between 06 February 2020 and 09 February 2020. These data are derived from the SnowEx20 Grand Mesa IOP CSU 1GHz GPR Raw, Version 1 data set (DOI: 10.5067/CT6NS2LIASRS) proprietary
+SNEX20_GM_CSU_GPR_RAW_1 SnowEx20 Grand Mesa IOP CSU 1GHz GPR Raw V001 NSIDC_ECS STAC Catalog 2020-02-06 2020-02-09 -108.25, 39.015, -108, 39.04 https://cmr.earthdata.nasa.gov/search/concepts/C2083503967-NSIDC_ECS.umm_json This data set the raw files collected with a Sensors & Software 1GHz ground penetrating radar (GPR) as part of the SnowEx 2020 Intensive Observation Period (IOP) at Grand Mesa, Colorado between 06 February 2020 and 09 February 2020. The more processed data are published in SnowEx20 Grand Mesa IOP CSU 1GHz GPR, Version 1 (DOI: 10.5067/S5EGFLCIAB18) proprietary
+SNEX20_GM_CTSM_1 SnowEx20 Grand Mesa IOP Computed Tomography Snow Microstructure V001 NSIDC_ECS STAC Catalog 2020-02-03 2020-02-08 -108.228389, 39.005111, -108.110485, 39.065321 https://cmr.earthdata.nasa.gov/search/concepts/C2695623073-NSIDC_ECS.umm_json This data set characterizes snow microstructure for 6 snow pits from the SnowEx 2020 Grand Mesa Intensive Observation Period (February 2020) using microcomputed tomography (micro-CT). Included with this data set are two- and three-dimensional microstructural analysis of DMP/DEP casted and un-casted snow samples, available as .xlsx and .txt file, and visual representations of the three-dimensional snow structure, available is .bmp image files. Containers of snow were collected at 6 snow pits in approximately 17 cm intervals. There were approximately 5-8 discrete containers per pit and each container had an ~2 cm overlap with the sample below. A 6-cm section of snow was dissected from each container of snow, which were analyzed in ~2 cm sub-sections. Each sub-section was scanned in three intervals using a micro-CT instrument. The three interval scans comprise multiple slices, and were combined into the reconstructed final scan used for calculating the snow microstructural data. proprietary
+SNEX20_GM_Lidar_1 SnowEx20 Grand Mesa IOP QSI Lidar Snow Depth Data V001 NSIDC_ECS STAC Catalog 2020-02-01 2020-02-02 -108.21092, 39.009209, -108.157747, 39.039456 https://cmr.earthdata.nasa.gov/search/concepts/C3142513079-NSIDC_ECS.umm_json "This data set contains rasterized snow depth maps derived from lidar point cloud data collected from Grand Mesa, Colorado during the SnowEx20 campaign. The subset data file was used as input data to derive SWE and snow density data, which is available as SnowEx20 Grand Mesa IOP Lidar and GPR-Derived Snow Water Equivalent and Snow Density, Version 1." proprietary
+SNEX20_GM_SP_1 SnowEx20 Grand Mesa Intensive Observation Period Snow Pit Measurements V001 NSIDC_ECS STAC Catalog 2020-01-27 2020-02-12 -108.228389, 39.005111, -108.110485, 39.065321 https://cmr.earthdata.nasa.gov/search/concepts/C1990738958-NSIDC_ECS.umm_json This data set contains snow pit observations from the SnowEx 2020 Grand Mesa Intensive Observation Period. Data were collected from 154 snow pits on Grand Mesa, Colorado between 27 January and 12 February 2020. The main parameters for this data set are snow temperature, snow depth, snow density, snow stratigraphy, snow grain size, liquid water content, and snow water equivalent. In addition to data files, this data set also contains site photos from each snow pit. proprietary
+SNEX20_GM_SWE_SD_1 SnowEx20 Grand Mesa IOP Lidar and GPR-Derived Snow Water Equivalent and Snow Density V001 NSIDC_ECS STAC Catalog 2020-02-01 2020-02-02 -108.21092, 39.009209, -108.157747, 39.039456 https://cmr.earthdata.nasa.gov/search/concepts/C3140422168-NSIDC_ECS.umm_json "This data set contains snow water equivalent (SWE) and snow density raster data derived from a lidar-based snow depth data set (SnowEx20 Grand Mesa IOP QSI Lidar Snow Depth Data, Version 1), a lidar-based digital terrain model (ASO L4 Lidar Point Cloud Digital Terrain Model 3m UTM Grid, Version 1), and two GPR data sets (SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR, Version 1 and Mesa IOP UNM 800 and 1600 MHz MALA GPR, Version 1). Data was collected during the NASA SnowEx 2020 field campaign in Grand Mesa, Colorado." proprietary
+SNEX20_J_UNM_GPR_1 SnowEx20 Jemez UNM 800 MHz MALA GPR V001 NSIDC_ECS STAC Catalog 2020-01-22 2020-03-04 -106.537, 35.85, -106.505, 35.889 https://cmr.earthdata.nasa.gov/search/concepts/C2059268385-NSIDC_ECS.umm_json This data set contains two-way travel times from a ground penetrating radar survey conducted at Jemez, New Mexico. Data were collected between 12 February 2020 and 04 March 2020 as part of the SnowEx 2020 campaign. proprietary
+SNEX20_QSI_DEM_1 SnowEx20-21 QSI Lidar DEM 0.5m UTM Grid V001 NSIDC_ECS STAC Catalog 2021-09-16 2021-09-21 -117.0661, 38.9681, -105.7432, 44.3658 https://cmr.earthdata.nasa.gov/search/concepts/C2435982480-NSIDC_ECS.umm_json "This data set is part of the SnowEx 2021 campaign and provides bare Earth digital elevation models (DEM) acquired by a scanning lidar system at a 0.5 m spatial resolution, and derived from point cloud digital terrain models. DEMs are available for September 2021 and from multiple areas in Colorado, Idaho, and Utah. These data were produced alongside Vegetation Height and Snow Depth data sets." proprietary
+SNEX20_QSI_DEM_3m_1 SnowEx20-21 QSI Lidar DEM 3m UTM Grid V001 NSIDC_ECS STAC Catalog 2021-09-16 2021-09-21 -117.0661, 38.9681, -105.7432, 44.3658 https://cmr.earthdata.nasa.gov/search/concepts/C2603552400-NSIDC_ECS.umm_json "This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides bare Earth digital elevation models (DEM) acquired by a scanning lidar system at a 3.0 m spatial resolution, and derived from point cloud digital terrain models. DEMs are available for September 2021 and from multiple areas in Colorado, Idaho, and Utah. These data were produced alongside Vegetation Height and Snow Depth data sets." proprietary
+SNEX20_QSI_SD_1 SnowEx20-21 QSI Lidar Snow Depth 0.5m UTM Grid V001 NSIDC_ECS STAC Catalog 2020-02-09 2021-03-20 -117.0661, 38.9681, -105.7432, 44.3658 https://cmr.earthdata.nasa.gov/search/concepts/C2435980844-NSIDC_ECS.umm_json "This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides snow depth values at a 0.5 m spatial resolution, derived from point cloud digital terrain models. Snow depths are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside DEM and Vegetation Height data sets." proprietary
+SNEX20_QSI_SD_3m_1 SnowEx20-21 QSI Lidar Snow Depth 3m UTM Grid V001 NSIDC_ECS STAC Catalog 2020-02-09 2021-03-20 -117.0661, 38.9681, -105.7432, 44.3658 https://cmr.earthdata.nasa.gov/search/concepts/C2603552692-NSIDC_ECS.umm_json "This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides snow depth values at a 3.0 m spatial resolution, derived from point cloud digital terrain models. Snow depths are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside DEM and Vegetation Height data sets." proprietary
+SNEX20_QSI_VH_1 SnowEx20-21 QSI Lidar Vegetation Height 0.5m UTM Grid V001 NSIDC_ECS STAC Catalog 2020-02-01 2021-03-20 -117.0661, 38.9681, -105.7432, 44.3658 https://cmr.earthdata.nasa.gov/search/concepts/C2435979546-NSIDC_ECS.umm_json "This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides vegetation height values at a 0.5 m spatial resolution, derived from point cloud digital terrain models. Vegetation heights are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside DEM and Snow Depth data sets." proprietary
+SNEX20_QSI_VH_3m_1 SnowEx20-21 QSI Lidar Vegetation Height 3m UTM Grid V001 NSIDC_ECS STAC Catalog 2020-02-01 2021-03-20 -117.0661, 38.9681, -105.7432, 44.3658 https://cmr.earthdata.nasa.gov/search/concepts/C2603552502-NSIDC_ECS.umm_json "This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides vegetation height values at a 3.0 m spatial resolution, derived from point cloud digital terrain models. Vegetation heights are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside DEM and Snow Depth data sets." proprietary
+SNEX20_SB_GST_1 SnowEx20 Senator Beck Basin Transect Ground Surface Temperature V001 NSIDC_ECS STAC Catalog 2019-10-20 2020-07-18 -107.73043, 37.904418, -107.723272, 37.918306 https://cmr.earthdata.nasa.gov/search/concepts/C1943097217-NSIDC_ECS.umm_json This data set contains hourly ground surface temperature measurements collected between 20 October 2019 and 18 July 2020. Data were collected at 7 points along two plant monitoring transects in the Upper Basin of the Senator Beck Study Basin. Temperatures were measured using iButton temperature sensors. proprietary
+SNEX20_SD_1 SnowEx20 Community Snow Depth Probe Measurements V001 NSIDC_ECS STAC Catalog 2020-01-28 2020-02-12 -108.228, 39, -107.997, 39.07 https://cmr.earthdata.nasa.gov/search/concepts/C1917766830-NSIDC_ECS.umm_json This data set, collected during the SnowEx 2020 Intensive Operation Period (IOP) in Grand Mesa, Colorado, contains in situ snow depth measurements. Snow depth was measured using one of three instruments - Magnaprobe, Mesa 2, or pit ruler. Pit ruler data were collected from 150 snow pits identified for the Grand Mesa IOP. Magnaprobe and Mesa 2 data were collected along spiral tracks moving outwards from snow pit locations. This data set has a temporal coverage from 28 January to 12 February 2020. proprietary
+SNEX20_SD_TLI_1 SnowEx20 Grand Mesa Snow Depth from Snow Pole Time-Lapse Imagery V001 NSIDC_ECS STAC Catalog 2019-09-29 2020-06-10 -108.228, 39, -107.997, 39.067 https://cmr.earthdata.nasa.gov/search/concepts/C2236390694-NSIDC_ECS.umm_json This data contains snow depth measurements derived from time-lapse images collected by cameras placed around Grand Mesa, CO at 29 sites coincident with other SnowEx 2020 measurements. The field view of all cameras includes a 3.049 m, (10 ft) vertical pole that was painted red with a yellow top to serve as a reference for quantifying snow depth. The time-lapse images are archived separately at NSIDC (SNEX20_TLI). proprietary
+SNEX20_SMP_1 SnowEx20 SnowMicroPen (SMP) Raw Penetration Force Profiles V001 NSIDC_ECS STAC Catalog 2020-01-28 2020-02-12 -108.2201, 39.0139, -108.003, 39.0541 https://cmr.earthdata.nasa.gov/search/concepts/C1931426050-NSIDC_ECS.umm_json This data set contains raw penetration force profiles from the SnowEx 2020 Intensive Observation Period in Grand Mesa, Colorado. Measurements were taken using the SnowMicroPen (SMP), a digital snow penetrometer. The data files contain force measurements (in Newtons) at various snow depths. Data are available from 28 January 2020 through 12 February 2020. proprietary
+SNEX20_SSA_1 SnowEx20 Laser Snow Microstructure Specific Surface Area Data V001 NSIDC_ECS STAC Catalog 2020-01-27 2020-02-12 -108.22143, 39.0087, -108.00312, 39.06417 https://cmr.earthdata.nasa.gov/search/concepts/C1970755314-NSIDC_ECS.umm_json This data set contains vertical profiles of snow reflectance, specific surface area (SSA), and spherical equivalent snow grain diameter. Data were collected during the SnowEx 2020 Grand Mesa, Colorado Intensive Observation Period between 27 January and 12 February 2020. Reflectance was measured at snow pits using one of two integrating sphere laser devices, IRIS (InfraRed IntegraXng Sphere) or IceCube. SSA and spherical equivalent diameter were then derived from reflectance. proprietary
+SNEX20_SWESARR_TB_1 SnowEx20 Airborne SWESARR Brightness Temperature V001 NSIDC_ECS STAC Catalog 2020-02-10 2020-02-12 -108.242, 38.987, -108.097, 39.085 https://cmr.earthdata.nasa.gov/search/concepts/C2068420609-NSIDC_ECS.umm_json This data set contains airborne microwave brightness temperature observations from the Goddard Space Flight Center SWESARR (Snow Water Equivalent Synthetic Aperture Radar and Radiometer) instrument during the winter (10-12 February 2020) NASA SnowEx 2020 campaign at Grand Mesa, CO. Observations were made at three frequencies (10.65, 18.7, and 36.5 GHz; referred to as X, K, and Ka bands, respectively), at horizontal polarization with a nominal 45-degree look angle. proprietary
+SNEX20_TLI_1 SnowEx20 Time-Lapse Imagery V001 NSIDC_ECS STAC Catalog 2019-09-21 2020-08-18 -108.216, 39.007, -107.934, 39.055 https://cmr.earthdata.nasa.gov/search/concepts/C2214722684-NSIDC_ECS.umm_json This data set contains sub-daily time-lapse images collected by cameras placed around Grand Mesa, CO at 29 sites coincident with other SnowEx 2020 measurements. The field view of all cameras includes a 3.049 m, (10 ft) vertical pole that was painted red with a yellow top to serve as a reference for quantifying snow depth. Snow depth data derived from these time-lapse images will be published separately at NSIDC. proprietary
+SNEX20_TLS_PC_BSU_1 SnowEx20 Boise State University Terrestrial Laser Scanner (TLS) Point Cloud V001 NSIDC_ECS STAC Catalog 2019-09-23 2020-02-02 -108.146, 39, -108.025, 39.041 https://cmr.earthdata.nasa.gov/search/concepts/C1996524638-NSIDC_ECS.umm_json This data set contains terrestrial laser scanner (TLS) point cloud data collected as part of the 2020 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2019) and snow-on (February 2020) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). These TLS data can be used to determine snow depth and explore the interactions between snow and vegetation. proprietary
+SNEX20_TLS_PC_BSU_RAW_1 SnowEx20 Boise State University Raw Terrestrial Laser Scanner (TLS) Point Cloud V001 NSIDC_ECS STAC Catalog 2019-09-23 2020-02-02 -108.146, 39, -108.025, 39.041 https://cmr.earthdata.nasa.gov/search/concepts/C1995889809-NSIDC_ECS.umm_json This data set contains raw, unprocessed terrestrial laser scanner (TLS) point cloud data collected as part of the 2020 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2019) and snow-on (February 2020) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). A processed version of this data set can be found here: https://doi.org/10.5067/F0M99WK7JW4X. proprietary
+SNEX20_TLS_PC_CRREL_1 SnowEx20 CRREL Terrestrial Laser Scanner (TLS) Point Cloud V001 NSIDC_ECS STAC Catalog 2019-09-23 2020-02-01 -108.228, 39, -107.997, 39.07 https://cmr.earthdata.nasa.gov/search/concepts/C1937994549-NSIDC_ECS.umm_json This data set contains terrestrial LIDAR survey (TLS) point cloud data collected at Grand Mesa, Colorado as part of the 2020 SnowEx campaign. Data were collected in fall 2019 (September) and winter 2020 (January and February). Each data file contains X, Y, and Z coordinates (Easting, Northing, and Elevation), along with ancillary information, such as intensity (i) and color (R,G,B), where available. proprietary
+SNEX20_TS_SP_2 SnowEx20 Time Series Snow Pit Measurements V002 NSIDC_ECS STAC Catalog 2019-10-24 2020-05-20 -120.29897, 35.85794, -105.54616, 44.30455 https://cmr.earthdata.nasa.gov/search/concepts/C2929469669-NSIDC_ECS.umm_json The data set is a time-series of snow pit measurements obtained by the SnowEx community during the 2020 campaign. Between October 2019 and May 2020, data were collected from 454 snow pits at 12 regional locations throughout California, Colorado, Idaho, New Mexico, and Utah, USA. At each of the locations, between 1 and 11 sites covering a range of conditions (terrains, snow depths, etc.) were chosen for weekly snow pit observations. Also available are photos of the field notes and snow pit sites. proprietary
+SNEX20_UNM_GPR_1 SnowEx20 Grand Mesa IOP UNM 800 and 1600 MHz MALA GPR V001 NSIDC_ECS STAC Catalog 2020-01-28 2020-02-06 -108.21, 39.005, -108.12, 39.05 https://cmr.earthdata.nasa.gov/search/concepts/C2059268334-NSIDC_ECS.umm_json This data set contains two-way travel times, snow depth and now water equivalent from a ground penetrating radar survey conducted at Grand Mesa, Colorado. Data were collected between 28 January 2020 and 06 February 2020 as part of the SnowEx 2020 campaign. proprietary
+SNEX20_VPTS_Raw_1 SnowEx20 Raw Near Surface Snow Temperature Profile Time Series V001 NSIDC_ECS STAC Catalog 2020-02-05 2020-02-12 -108.215629, 39.006, -108.17523, 39.036349 https://cmr.earthdata.nasa.gov/search/concepts/C1997892310-NSIDC_ECS.umm_json This data set contains an eight-day time series of vertical temperature profile measurements. Measurements were collected using a thermoprobe to a depth of 30 cm at two site locations. These data were collected as part of the SnowEx 2020 Intensive Observation Period in Grand Mesa, Colorado. Alongside temperature profiles, this data set contains snow depth measurements, manual temperature measurements, and thermal infrared camera images. These data are published without QA/QC or calibration with manual measurements. proprietary
+SNEX21_COCP_GPR_1 SnowEx21 Cameron Pass Ground Penetrating Radar V001 NSIDC_ECS STAC Catalog 2021-01-13 2021-05-27 -105.893, 40.517, -105.867, 40.566 https://cmr.earthdata.nasa.gov/search/concepts/C2439238393-NSIDC_ECS.umm_json This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx21 campaign. Data include two-way travel time, pit-measured snow density, calculated snow depth, and calculated snow water equivalent. Data were collected between 13 January 2021 and 27 May 2021. proprietary
+SNEX21_COCP_GPR_Raw_1 SnowEx21 Cameron Pass Ground Penetrating Radar Raw V001 NSIDC_ECS STAC Catalog 2021-01-13 2021-05-27 -105.893, 40.517, -105.867, 40.566 https://cmr.earthdata.nasa.gov/search/concepts/C2551380225-NSIDC_ECS.umm_json This data set contains the raw files from ground-penetrating radar surveys conducted at Cameron Pass, Colorado during the SnowEx21 campaign. Data were collected between 13 January 2021 and 27 May 2021. proprietary
+SNEX21_DSM_1 SnowEx21 Prairie Station In Situ Dielectric Soil Moisture and Soil Temperature V001 NSIDC_ECS STAC Catalog 2020-11-05 2021-04-02 -109.959, 47.055, -109.946, 47.065 https://cmr.earthdata.nasa.gov/search/concepts/C2215574184-NSIDC_ECS.umm_json This data set consists of soil moisture and soil temperature measurements taken during the SnowEx 2021 field campaign. Soil moisture probes were deployed at 9 locations within the Montana Prairie Station study area and monitored soil properties at four different depths (5, 10, 20 and 50 cm). proprietary
+SNEX21_SSR_1 SnowEx21 Senator Beck Basin and Grand Mesa, CO AVIRIS-NG Surface Spectral Reflectance V001 NSIDC_ECS STAC Catalog 2021-03-19 2021-04-29 -109, 37, -107, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2560987849-NSIDC_ECS.umm_json This data set provides apparent surface spectral reflectance imagery which demonstrates snow albedo and snow optical property evolution across two distinct snow-covered environments in Colorado. Data collection occurred in the spring of 2021 as part of the NASA SnowEx mission. The two study sites (Senator Beck Basin and Grand Mesa) were chosen for their contrasting terrain and vegetation characteristics. Data collection occurred over three days (19 March, 1 April, and 29 April) to produce a time series data set across varying snow conditions. proprietary
+SNEX21_TS_SP_1 SnowEx21 Time Series Snow Pits V001 NSIDC_ECS STAC Catalog 2020-11-16 2021-05-27 -116.12351, 37.9071, -105.86093, 47.0607 https://cmr.earthdata.nasa.gov/search/concepts/C3046987606-NSIDC_ECS.umm_json The data set is a time-series of snow pit measurements obtained by the SnowEx community during the 2021 field campaign. Between November 2020 and May 2021 data from 247 snow pits were collected at 24 unique sites distributed over 4 states (CO, ID, MT, UT) throughout the Western United States. Five of the unique sites had a single visit to establish baseline conditions, while the remaining 19 sites had 3 or more repeat visits throughout the season, with a median visit count of 11.5. On a weekly interval, a snow pit was dug approximately 1 m away from the previous week’s snow pit. Available measured parameters are: snow depth, snow temperature, snow density, stratigraphy, grain size, manual wetness, liquid water content (LWC), and snow water equivalent (SWE). Also available are photos of the field notes and snow pit sites. proprietary
+SNEX23_BCEF_TLS_1 SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans V001 NSIDC_ECS STAC Catalog 2022-10-22 2023-03-26 -148.325, 64.697, -148.278, 64.714 https://cmr.earthdata.nasa.gov/search/concepts/C2854618795-NSIDC_ECS.umm_json "This data set contains digital terrain models (DTMs) derived from terrestrial lidar scans (TLS) collected as part of the SnowEx 2023 campaign. Data were collected at the Bonanza Creek Experimental Forest near Fairbanks, Alaska in October 2022 (snow-off conditions) and March 2023 (snow-on conditions). The DTMs are provided as Geographic Tagged Image (GeoTIFF) files, where each file corresponds to a unique survey site. Unprocessed point cloud data from which these DTMs were derived are available as the SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans Raw, Version 1 (SNEX23_BCEF_TLS_Raw) data set" proprietary
+SNEX23_BCEF_TLS_Raw_1 SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans Raw V001 NSIDC_ECS STAC Catalog 2022-10-22 2023-03-26 -148.325, 64.697, -148.278, 64.714 https://cmr.earthdata.nasa.gov/search/concepts/C2856186714-NSIDC_ECS.umm_json "This data set contains unprocessed point cloud data created from terrestrial lidar scans (TLS) collected during the SnowEx 2023 campaign from the Bonanza Creek Experimental Forest near Fairbanks, Alaska. Data were collected in October 2022 (snow-off) and March 2023 (snow-on). Digital terrain models (DTMs) derived from the raw point cloud data are available as the SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans, Version 1 (SNEX23_BCEF_TLS) data set" proprietary
+SNEX23_CRREL_GPR_1 SnowEx23 CRREL Ground Penetrating Radar V001 NSIDC_ECS STAC Catalog 2023-03-08 2023-03-15 -149.598, 68.5257, -149.2186, 68.64 https://cmr.earthdata.nasa.gov/search/concepts/C3215566728-NSIDC_ECS.umm_json "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at the Upper Kuparuk/Toolik (UKT) site in northern Alaska, USA as part of the NASA SnowEx 2023 field campaign. Data were collected between 08 Mar 2023 to 15 Mar 2023, spatially coinciding with snow pit locations and along transects between snow pits. Data include two-way travel (TWT) time, calculated snow depth, and calculated snow water equivalent (SWE). Raw GPR data are available as SnowEx23 CRREL Ground Penetrating Radar Raw, Version 1." proprietary
+SNEX23_CRREL_GPR_Raw_1 SnowEx23 CRREL Ground Penetrating Radar Raw V001 NSIDC_ECS STAC Catalog 2023-03-08 2023-03-15 -149.598, 68.5257, -149.2186, 68.64 https://cmr.earthdata.nasa.gov/search/concepts/C3227266712-NSIDC_ECS.umm_json "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at the Upper Kuparuk/Toolik (UKT) site in northern Alaska, USA as part of the NASA SnowEx 2023 field campaign. Data were collected between 08 Mar 2023 to 15 Mar 2023, spatially coinciding with snow pit locations and along transects between snow pits. Data include georeferenced multichannel ground-penetrating radargrams stored within .nc files. PRocessed GPR data are available as SnowEx23 CRREL Ground Penetrating Radar, Version 1." proprietary
+SNEX23_CSU_GPR_Raw_1 SnowEx23 Colorado State University Ground Penetrating Radar Raw V001 NSIDC_ECS STAC Catalog 2023-03-07 2023-03-16 -148.3296, 64.6992, -147.4802, 65.1701 https://cmr.earthdata.nasa.gov/search/concepts/C3184787416-NSIDC_ECS.umm_json This data set contains the raw results of 1 GHz ground-penetrating radar surveys conducted as part of the NASA SnowEx23 field campaign in Alaska, USA. Surveys were conducted at three different field sites between 07 March 2023 and 16 March 2023: 1) Farmers Loop/Creamers Field, 2) the Bonanza Creek Experimental Forest, and 3) the Caribou/Poker Creek Research Watershed. proprietary
+SNEX23_Lidar_1 SnowEx23 Airborne Lidar-Derived 0.25M Snow Depth and Canopy Height V001 NSIDC_ECS STAC Catalog 2022-03-11 2023-10-25 -148.5, 64.5, -148, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2893208516-NSIDC_ECS.umm_json "This data set provides digital terrain models, snow depth, and canopy height, acquired by a scanning lidar system and derived from Point Cloud Digital Terrain Models (PCDTMs) from two regions of Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) and a coastal tundra environment in the North Slope region of the northern Alaska coastal plain (Arctic coastal plain and Upper Kuparuk Toolik). The raw data from which these data are derived are available as SnowEx23 Airborne Lidar Scans Raw, Version 1." proprietary
+SNEX23_Lidar_Raw_1 SnowEx23 Airborne Lidar Scans Raw V001 NSIDC_ECS STAC Catalog 2022-03-11 2023-10-25 -148.5, 64.5, -148, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2893835306-NSIDC_ECS.umm_json "This data set provides raw lidar data from two regions of Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) and a coastal tundra environment in the North Slope region of the northern Alaska coastal plain (Arctic coastal plain and Upper Kuparuk Toolik). Processed data, including digital terrain models, snow depth, and canopy height derived from Point Cloud Digital Terrain Models (PCDTMs) are available as SnowEx23 Airborne Lidar-Derived 0.25M Snow Depth and Canopy Height, Version 1." proprietary
+SNEX23_MAR22_SD_1 SnowEx23 Mar22 IOP Snow Depth Measurements V001 NSIDC_ECS STAC Catalog 2022-03-08 2022-03-23 -149.597, 64.699, -147.49, 70.085 https://cmr.earthdata.nasa.gov/search/concepts/C3154261714-NSIDC_ECS.umm_json "The data set contains snow depth measurements from two regions of Alaska, USA collected during the March 2022 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) and a coastal tundra site in the North Slope region (Arctic coastal plain). Snow depth measurements collected from the study sampling sites during the subsequent field season are available as SnowEx23 Mar23 IOP Snow Depth Measurements, Version 1." proprietary
+SNEX23_MAR23_SD_1 SnowEx23 Mar23 IOP Community Snow Depth Measurements V001 NSIDC_ECS STAC Catalog 2023-03-07 2023-03-16 -149.597, 64.699, -147.49, 70.085 https://cmr.earthdata.nasa.gov/search/concepts/C3172387010-NSIDC_ECS.umm_json "The data set contains snow depth measurements from five study sites in Alaska, USA; data were collected during the March 2023 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) and two coastal tundra sites in the North Slope region (Arctic coastal plain and Upper Kuparuk Toolik). Snow depth measurements collected from the study sampling sites during the previous field season are available as SnowEx23 Mar22 IOP Snow Depth Measurements, Version 1." proprietary
+SNEX23_SSA_1 SnowEx23 Laser Snow Microstructure Specific Surface Area Data V001 NSIDC_ECS STAC Catalog 2023-03-06 2023-03-16 -149.597, 64.701, -147.4905, 70.085 https://cmr.earthdata.nasa.gov/search/concepts/C2735033831-NSIDC_ECS.umm_json "This data set contains vertical profiles of snow reflectance and specific surface area (SSA) from the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer’s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik), collected as part of the NASA SnowEx 2023 field campaign in March 2023. Reflectance was measured in snow pits using three different integrating sphere laser devices: an A2 Photonic Sensor IceCube (1310 nm), an IRIS (InfraRed Integrating Sphere) system (1310 nm), and an InfraSnow SSA sensor (945 nm). Measured reflectance values were converted to SSA during data processing. It is recommended that data users work with either the IceCube or IRIS data, as the InfraSnow data was collected primarily for testing of the instrument’s capabilities. Snow-off SSA data from these same study sites are available as SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data, Version 1." proprietary
+SNEX23_SSA_SO_1 SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data V001 NSIDC_ECS STAC Catalog 2023-10-17 2023-10-28 -149.5964, 64.701, -147.4906, 70.084 https://cmr.earthdata.nasa.gov/search/concepts/C2881748646-NSIDC_ECS.umm_json "This data set reports vertical profiles of snow reflectance and specific surface area (SSA) from two study sites in Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer’s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik). Reflectance was measured in situ using an A2 Photonic Sensor IceCube (1310 nm). Measured reflectance values were converted to SSA during data processing following the methods of Gallet et al., (2009). Snow-on SSA data from these same study sites were collected in March 2023 and are available as SnowEx23 Laser Snow Microstructure Specific Surface Area Data, Version 1." proprietary
+SNEX23_SWE_1 SnowEx23 Snow Water Equivalent V001 NSIDC_ECS STAC Catalog 2023-03-13 2023-03-16 -149.494, 64.8677, -147.6745, 68.615 https://cmr.earthdata.nasa.gov/search/concepts/C3041011983-NSIDC_ECS.umm_json This data set presents snow depth, snow water equivalent (SWE), and bulk snow density data collected during the NASA SnowEx 2023 field campaign between March 13-16 2023. Samples were collected using an Adirondack snow sampler (SWE tube) from two study sites: Upper Kuparuk and Toolik (UKT), an arctic tundra environment in Northern Alaska, and Farmers Loop Creamers Field (FLCF), a boreal forest near Fairbanks, Alaska. proprietary
+SNEX23_UW_GPR_1 SnowEx23 University of Wyoming Ground Penetrating Radar V001 NSIDC_ECS STAC Catalog 2023-03-08 2023-03-14 -149.54981, 68.58784, -148.61304, 70.0846 https://cmr.earthdata.nasa.gov/search/concepts/C2917647163-NSIDC_ECS.umm_json This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at the Arctic Coastal Plain (ACP) site and the Upper Kuparuk/Toolik (UKT) site in northern Alaska during the SnowEx23 field campaign. Data include two-way travel time, derived snow depth, and derived snow water equivalent. Data were collected between 8 - 14 March 2023. proprietary
SNEX_HRSI_SD_DEM_CO_1 SnowEx Colorado 3M Snow Depth Time Series and DEMs from High-Resolution Satellite Image Pairs V001 NSIDC_ECS STAC Catalog 2016-02-19 2022-03-02 -108.382269, 38.785954, -107.747336, 39.216156 https://cmr.earthdata.nasa.gov/search/concepts/C2849456374-NSIDC_ECS.umm_json This data set contains a time series of snow depth maps and related intermediary snow-on and snow-off DEMs for Grand Mesa, Colorado derived from very-high-resolution (VHR) satellite stereo images and lidar point cloud data. Two of the snow depth maps coincide temporally with the 2017 NASA SnowEx Grand Mesa field campaign, providing a comparison between the satellite derived snow depth and in-situ snow depth measurements. The VHR stereo images were acquired each year between 2016 and 2022 during the approximate timing of peak snow depth by the Maxar WorldView-2, WorldView-3, and CNES/Airbus Pléiades-HR 1A and 1B satellites, while lidar data was sourced from the USGS 3D Elevation Program. proprietary
SNEX_Met_1 SnowEx Meteorological Station Measurements from Grand Mesa, CO V001 NSIDC_ECS STAC Catalog 2016-10-09 2022-08-30 -108.21399, 39.03388, -107.88383, 39.10358 https://cmr.earthdata.nasa.gov/search/concepts/C2555433963-NSIDC_ECS.umm_json This dataset contains meteorological data collected as part of the ongoing the NASA SnowEx mission, from five meteorological stations installed between 2016-2017 in Grand Mesa, Colorado, to provide supporting data for SnowEx field campaigns and forcing data for modeling. Each station collects a suite of meteorological data at a fixed geographic point, from varying heights above and below the surface elevation. Measured data include: air temperature, relative humidity, long and shortwave solar radiation, barometric pressure, soil moisture and temperature, and derived snow depth. The temporal data coverage varies between each station, but spans October 2016 to August 2022. The dataset(s) contain air temperature and relative humidity (10ft and 20ft levels), 4-component radiation (shortwave, longwave), barometric pressure, soil-moisture and temperature (three depths), and a snow-depth product. Data coverage varies for each met station, but spans the time period of October 2016 – August, 2022. The data frequency is hourly and times are in UTC. The data is monotonic (no duplicate or mis-orderd timestamps) and steps have been taken to remove erroneous data. Periods of missing data are filled with NaN values. The scripts used to process raw data into the current format are available on the github page (https://github.com/wrudisill/GrandMesaMetData/blob/main/process_data_initial.py). proprietary
SNEX_Met_Raw_1 SnowEx Meteorological Station Measurements from Grand Mesa, CO Raw V001 NSIDC_ECS STAC Catalog 2016-10-09 2022-08-30 -108.21399, 39.03388, -107.88383, 39.10358 https://cmr.earthdata.nasa.gov/search/concepts/C2556535183-NSIDC_ECS.umm_json This dataset contains raw meteorological data collected as part of the ongoing the NASA SnowEx mission, from five meteorological stations installed between 2016-2017 in Grand Mesa, Colorado, to provide supporting data for SnowEx field campaigns and forcing data for modeling proprietary
@@ -12590,7 +12803,7 @@ SPL1A_RO_QA_002_2 SMAP_L1A_RADAR_RECEIVE_ONLY_QA_V002 ASF STAC Catalog 2015-02-1
SPL1A_RO_QA_003_3 SMAP_L1A_RADAR_RECEIVE_ONLY_QA_V003 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243124139-ASF.umm_json SMAP Level 1A Radar Receive Only Data Quality Information Version 3 proprietary
SPL1BTB_005 SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures V005 NSIDC_ECS STAC Catalog 2015-03-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C1931655418-NSIDC_ECS.umm_json This Level-1B (L1B) product provides calibrated estimates of time-ordered geolocated brightness temperatures measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band brightness temperatures are referenced to the Earth's surface with undesired and erroneous radiometric sources removed. proprietary
SPL1BTB_006 SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C2776463679-NSIDC_ECS.umm_json This Level-1B (L1B) product provides calibrated estimates of time-ordered geolocated brightness temperatures measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band brightness temperatures are referenced to the Earth's surface with undesired and erroneous radiometric sources removed. proprietary
-SPL1BTB_NRT_105 Near Real-time SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures V105 NSIDC_ECS STAC Catalog 2024-08-20 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C2257958430-NSIDC_ECS.umm_json "This Near Real-Time (NRT) data set corresponds to the standard SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures (SPL1BTB) product. The data provide calibrated estimates of time-ordered geolocated brightness temperature data measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4°S to 86.4°N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product, SPL1BTB (https://doi.org/10.5067/ZHHBN1KQLI20)." proprietary
+SPL1BTB_NRT_105 Near Real-time SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures V105 NSIDC_ECS STAC Catalog 2024-08-29 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C2257958430-NSIDC_ECS.umm_json "This Near Real-Time (NRT) data set corresponds to the standard SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures (SPL1BTB) product. The data provide calibrated estimates of time-ordered geolocated brightness temperature data measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4°S to 86.4°N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product, SPL1BTB (https://doi.org/10.5067/ZHHBN1KQLI20)." proprietary
SPL1B_SO_LoRes_001_1 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_V001 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214473308-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Product proprietary
SPL1B_SO_LoRes_002_2 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_V002 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243253631-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Product Version 2 proprietary
SPL1B_SO_LoRes_003_3 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_V003 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243133445-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Product Version 3 proprietary
@@ -12620,7 +12833,7 @@ SPL2SMP_008 SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V008 NSI
SPL2SMP_009 SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V009 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463734-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data. proprietary
SPL2SMP_E_005 SMAP Enhanced L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V005 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2136471686-NSIDC_ECS.umm_json This enhanced Level-2 (L2) product contains calibrated, geolocated, brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection [available as the SPl1CTB_E product]. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. These 9-km brightness temperatures are then used to retrieve surface soil moisture posted on the 9-km grid [this SPL2SMP_E product]. proprietary
SPL2SMP_E_006 SMAP Enhanced L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776463773-NSIDC_ECS.umm_json This enhanced Level-2 (L2) product contains calibrated, geolocated, brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection [available as the SPl1CTB_E product]. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. These 9-km brightness temperatures are then used to retrieve surface soil moisture posted on the 9-km grid [this SPL2SMP_E product]. proprietary
-SPL2SMP_NRT_107 Near Real-time SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V107 NSIDC_ECS STAC Catalog 2024-08-20 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2312096175-NSIDC_ECS.umm_json "This Near Real-Time (NRT) data set corresponds to the standard SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture (SPL2SMP) product. The data provide estimates of global land surface conditions measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4°S to 86.4°N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product SPL2SMP (https://doi.org/10.5067/LPJ8F0TAK6E0)." proprietary
+SPL2SMP_NRT_107 Near Real-time SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V107 NSIDC_ECS STAC Catalog 2024-08-29 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2312096175-NSIDC_ECS.umm_json "This Near Real-Time (NRT) data set corresponds to the standard SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture (SPL2SMP) product. The data provide estimates of global land surface conditions measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4°S to 86.4°N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product SPL2SMP (https://doi.org/10.5067/LPJ8F0TAK6E0)." proprietary
SPL3FTA_003 SMAP L3 Radar Northern Hemisphere Daily 3 km EASE-Grid Freeze/Thaw State V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, 45, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303849-NSIDC_ECS.umm_json This Level-3 (L3) product provides a daily composite of Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radar from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band backscatter data are used to derive freeze/thaw data, which are then resampled to an Earth-fixed, Northern Hemisphere azimuthal 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3FTP_003 SMAP L3 Radiometer Global and Northern Hemisphere Daily 36 km EASE-Grid Freeze/Thaw State V003 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1931660632-NSIDC_ECS.umm_json This Level-3 (L3) product provides a daily composite of landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are used to derive freeze/thaw state and transition data, which are then resampled to both an Earth-fixed, Northern Hemisphere azimuthal 36 km Equal-Area Scalable Earth Grid (EASE-Grid 2.0), and to an Earth-fixed global 36 km EASE-Grid 2.0. proprietary
SPL3FTP_004 SMAP L3 Radiometer Global and Northern Hemisphere Daily 36 km EASE-Grid Freeze/Thaw State V004 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463838-NSIDC_ECS.umm_json This Level-3 (L3) product provides a daily composite of landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are used to derive freeze/thaw state and transition data, which are then resampled to both an Earth-fixed, Northern Hemisphere azimuthal 36 km Equal-Area Scalable Earth Grid (EASE-Grid 2.0), and to an Earth-fixed global 36 km EASE-Grid 2.0. proprietary
@@ -15138,6 +15351,7 @@ WRF_STILT_Particles_Boston_1596_1 WRF-STILT Particle Trajectories for Boston, MA
WRIR_01_4005_Not provided Data Collection Methods, Quality Assurance Data, and Site Considerations for Total Dissolved Gas Monitoring, Lower Columbia River, Oregon and Washington, 2000. CEOS_EXTRA STAC Catalog 2000-03-01 2000-09-15 -124, 44.75, -120, 46.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231552786-CEOS_EXTRA.umm_json Excessive total dissolved gas pressure can cause gas-bubble trauma in fish downstream from dams on the Columbia River. In cooperation with the U.S. Army Corps of Engineers, the U.S. Geological Survey collected data on total dissolved gas pressure, barometric pressure, water temperature, and probe depth at eight stations on the lower Columbia River from the John Day forebay (river mile 215.6) to Camas (river mile 121.7) in water year 2000 (October 1, 1999, to September 30, 2000). These data are in the databases of the U.S. Geological Survey and the U.S. Army Corps of Engineers. Methods of data collection, review, and processing, and quality-assurance data are presented in this report. The purpose of TDG monitoring is to provide USACE with (1) real-time data for managing streamflows and TDG levels upstream and downstream from its project dams in the lower Columbia River and (2) reviewed and corrected TDG data to evaluate conditions in relation to water-quality criteria and to develop a TDG data base model for modeling the effect of various management scenarios of stream flow and spill on TDG levels. Instrumentation at each fixed station consisted of a TDG probe, an electronic barometer, a data-collection platform (DCP), and a power supply. The TDG probe was manufactured by Hydrolab Corporation. The probe had individual sensors for TDG, temperature, and probe depth (unvented sensor). The TDG sensor consisted of a cylindrical framework wound with a length of Silastic (dimethyl silicon) tubing. The tubing was tied off at one end and the other end was connected to a pressure transducer. After the TDG pressure in the river equilibrated with the gas pressure inside the tubing (about 15 to 20 minutes), the pressure transducer produced a measure of the TDG presure in the River. The water-temperature sensor was a thermocouple. The barometer was contained in the display unit of the Model TBO-L, a total dissolved gas meter manufactured by Common Sensing, Inc. More information abou the TDG probe is provided by Tanner, D. Q. And Johnston and M.W. 2001. The fixed station monitors were calibrated every 2 weeks from March 10 to September 15, 2000, and every three weeks for the remainder of the year, at which time Warrendale and Bonneville forebay were the only sites in operation. The general procedure was to check the operation of the TDG probe in the field without disturbing it, replace the field probe with one that had just been calibrated in the laboratory, and then check the operation of the newly deployed field probe. The details of the laboratory calibration procedure are outlined in Tanner and Johnston, 2001. Information for this metadata was obtained from the Technical Reports of the Oregon District available at http://oregon.usgs.gov/pubs_dir/online_list.html . proprietary
WRIR_97_4268_Not provided Distribution of Dissolved Pesticides and Other Water Quality Constituents in Small Streams, and their Relation to Land Use, Willamette River Basin, Oregon CEOS_EXTRA STAC Catalog 1996-03-01 1996-11-30 -124, 43.5, -121.5, 46 https://cmr.earthdata.nasa.gov/search/concepts/C2231555249-CEOS_EXTRA.umm_json Water quality samples were collected at sites in 16 randomly selected agricultural and 4 urban subbasins as part of Phase III of the Willamette River Basin Water Quality Study in Oregon during 1996. Ninety-five samples were collected and analyzed for suspended sediment, conventional constituents (temperature, dissolved oxygen, pH, specific conductance, nutrients, biochemical oxygen demand, and bacteria) and a suite of 86 dissolved pesticides. The data were collected to characterize the distribution of dissolved pesticide concentrations in small streams (drainage areas 2.6? 13 square miles) throughout the basin, to document exceedances of water quality standards and guidelines, and to identify the relative importance of several upstream land use categories (urban, agricultural, percent agricultural land, percent of land in grass seed crops, crop diversity) and seasonality in affecting these distributions. A total of 36 pesticides (29 herbicides and 7 insecticides) were detected basinwide. The five most frequently detected compounds were the herbicides atrazine (99% of samples), desethylatrazine (93%), simazine (85%), metolachlor (85%), and diuron (73%). Fifteen compounds were detected in 12?35% of samples, and 16 compounds were detected in 1?9% of samples. Water quality standards or criteria were exceeded more frequently for conventional constituents than for pesticides. State of Oregon water quality standards were exceeded at all but one site for the indicator bacteria E. coli, 3 sites for nitrate, 10 sites for water temperature, 4 sites for dissolved oxygen, and 1 site for pH. Pesticide concentrations, which were usually less than 1 part per billion, exceeded State of Oregon or U.S. Environmental Protection Agency aquatic life toxicity criteria only for chlorpyrifos, in three samples from one site; such criteria have been established for only two other detected pesticides. However, a large number of unusually high concentrations (1?90 parts per billion) were detected, indicating that pesticides in the runoff sampled in these small streams were more highly concentrated than in the larger streams sampled in previous studies. These pulses could have had short term toxicological implications for the affected streams; however, additional toxicological assessment of the detected pesticides was limited because of a lack of available information on the response of aquatic life to the observed pesticide concentrations. Six pesticides, including atrazine, diuron, and metolachlor, had significantly higher (p<0.08 for metolachlor, p<0.05 for the other five) median concentrations at agricultural sites than at urban sites. Five other compounds ?carbaryl, diazinon, dichlobenil, prometon, and tebuthiuron?had significantly higher (p<0.05) concentrations at the urban sites than at the agricultural sites. Atrazine, metolachlor, and diuron also had significantly higher median concentrations at southern agricultural sites (dominated by grass seed crops) than northern agricultural sites. Other compounds that had higher median concentrations in the south included 2,4-D and metribuzin, which are both used on grass seed crops, and triclopyr, bromacil, and pronamide. A cluster analysis of the data grouped sites according to their pesticide detections in a manner that was almost identical to a grouping made solely on the basis of their upstream land use patterns (urban, agricultural, crop diversity, percentage of basin in agricultural production). In this way inferences about pesticide associations with different land uses could be drawn, illustrating the strength of these broad land use categories in determining the types of pesticides that can be expected to occur. Among the associations observed were pesticides that occurred at a group of agricultural sites, but which have primarily noncropland uses such as vegetation control along rights-of-way. Also, the amount of forested land in a basin was negatively associated with pesticide occurrence proprietary
WRIR_99_4196_Not provided Inorganic Chemistry of Water and Bed Sediment in Selected Tributaries of the South Umpqua River, Oregon, 1998 CEOS_EXTRA STAC Catalog 1998-08-01 1998-09-01 -122.83, 42.66, -122.5, 43.33 https://cmr.earthdata.nasa.gov/search/concepts/C2231551961-CEOS_EXTRA.umm_json Ten sites on small South Umpqua River tributaries were sampled for inorganic constituents in water and streambed sediment. In aqueous samples, high concentrations (concentrations exceeding U.S. Environmental Protection Agency criterion continuous concentration for the protection of aquatic life) of zinc, copper, and cadmium were detected in Middle Creek at Silver Butte, and the concentration of zinc was high at Middle Creek near Riddle. Similar patterns of trace-element occurrence were observed in streambed-sediment samples.The dissolved aqueous load of zinc carried by Middle Creek along the stretch between the upper site (Middle Creek at Silver Butte) and the lower site (Middle Creek near Riddle) decreased by about 0.3 pounds per day. Removal of zinc from solution between the upper and lower sites on Middle Creek evidently was occurring at the time of sampling. However, zinc that leaves the aqueous phase is not necessarily permanently lost from solution. For example, zinc solubility is pH-dependent, and a shift between solid and aqueous phases towards release of zinc to solution in Middle Creek could occur with a perturbation in stream-water pH. Thus, at least two potentially significant sources of zinc may exist in Middle Creek: (1) the upstream source(s) producing the observed high aqueous zinc concentrations and (2) the streambed sediment itself (zinc-bearing solid phases and/or adsorbed zinc). Similar behavior may be exhibited by copper and cadmium because these trace elements also were present at high concentrations in streambed sediment in the Middle Creek Basin. proprietary
+WUS_UCLA_SR_1 Western United States UCLA Daily Snow Reanalysis V001 NSIDC_ECS STAC Catalog 1984-10-01 2021-09-30 -125, 31, -102, 49 https://cmr.earthdata.nasa.gov/search/concepts/C2253727823-NSIDC_ECS.umm_json This Western United States snow reanalysis data set contains daily estimates of posterior snow water equivalent (SWE), fractional snow-covered area (fSCA) and snow depth (SD) at 16 arc-second (~500 m) resolution from water years 1985 to 2021. This data set was developed to be compared to SnowEx data sets but its utility reaches beyond that since its spatial and temporal bounds extend over the entire Western U.S. and over several decades. proprietary
WV01_Pan_L1B_1 WorldView-1 Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2007-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497387766-CSDA.umm_json The WorldView-1 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Panchromatic imagery is collected by the DigitalGlobe WorldView-1 satellite using the WorldView-60 camera across the global land surface from September 2007 to the present. Data have a spatial resolution of 0.5 meters at nadir and a temporal resolution of approximately 1.7 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary
WV02_MSI_L1B_1 WorldView-2 Level 1B Multispectral 8-Band Satellite Imagery CSDA STAC Catalog 2009-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497404794-CSDA.umm_json The WorldView-2 Level 1B Multispectral 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the coastal, blue, green, yellow, red, red edge, and near-infrared (2 bands) wavelengths. It has a spatial resolution of 1.85m at nadir and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary
WV02_Pan_L1B_1 WorldView-2 Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2009-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497398128-CSDA.umm_json The WorldView-2 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary