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--- | ||
id: tws-anomaly | ||
name: 'Terrestrial Water Storage Anomalies' | ||
description: "TWS anomalies modeled using data assimilation within Land Information System framework" | ||
media: | ||
src: ::file ./twsanomaly-globe.png | ||
alt: TWS anomalies from LIS outputs. | ||
author: | ||
name: NASA LIS | ||
url: | ||
taxonomy: | ||
- name: Topics | ||
values: | ||
- EIS | ||
layers: | ||
- id: lis-tws-anomaly | ||
stacCol: lis-tws-anomaly | ||
name: 'TWS Anomaly' | ||
type: raster | ||
description: 'TWS anomalies modeled using data assimilation within Land Information System framework' | ||
zoomExtent: | ||
- 0 | ||
- 11 | ||
sourceParams: | ||
resampling: bilinear | ||
bidx: 1 | ||
colormap_name: rdylbu | ||
rescale: | ||
- -200 | ||
- 200 | ||
compare: | ||
datasetId: tws-anomaly | ||
layerId: lis-tws-anomaly | ||
mapLabel: | | ||
::js ({ dateFns, datetime, compareDatetime }) => { | ||
if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')} VS ${dateFns.format(compareDatetime, 'DD LLL yyyy')}`; | ||
} | ||
legend: | ||
type: gradient | ||
label: TWS Anomaly | ||
min: "-200" | ||
max: "200" | ||
stops: | ||
- "#a50026" | ||
- "#f46d43" | ||
- "#fee090" | ||
- "#e0f3f8" | ||
- "#74add1" | ||
- "#313695" | ||
--- | ||
<Block type='full'> | ||
<Prose> | ||
## Overview | ||
Terrestrial water storage (TWS) is defined as the summation of all water on the land surface and in the subsurface. It includes surface soil moisture, root zone soil moisture, groundwater, snow, ice, water stored in the vegetation, river and lake water. | ||
</Prose> | ||
<Figure> | ||
<Map | ||
datasetId='tws-anomaly' | ||
layerId='lis-tws-anomaly' | ||
dateTime='2002-12-01' | ||
zoom={4} | ||
center={[-116,36]} | ||
compareDateTime='2021-12-01' | ||
/> | ||
<Caption | ||
attrAuthor='NASA' | ||
attrUrl='https://nasa.gov/' | ||
> | ||
Depleting TWS over CA between 2002 (left) and 2021 (right), captured by LIS modeled TWS anomalies | ||
</Caption> | ||
</Figure> | ||
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||
</Block> | ||
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||
|
||
<Block> | ||
<Prose> | ||
## Modeling TWS | ||
TWS is modeled using Noah-MP land surface model (LSM) within LIS framework by assimilating NASA earth observations of soil moisture from Soil Moisture Active Passive (SMAP), leaf area index from MODIS sensor, and TWS from GRACE/GRACE-FO. The modeled TWS is produced over global domain at a resolution of 10 km. | ||
</Prose> | ||
</Block> | ||
|
||
<Block type='full'> | ||
<Figure> | ||
<Map | ||
datasetId='tws-anomaly' | ||
layerId='lis-tws-anomaly' | ||
dateTime='2002-12-01' | ||
zoom={4} | ||
center={[77.63,24.27]} | ||
compareDateTime='2021-12-01' | ||
/> | ||
<Caption | ||
attrAuthor='NASA' | ||
attrUrl='https://nasa.gov/' | ||
> | ||
TWS anomalies over India compared between Dec 2002 (left) and Dec 2021 (right) | ||
</Caption> | ||
</Figure> | ||
<Prose> | ||
## Interpreting the data | ||
The TWS anomalies are calculated as differences of raw TWS with the climatology obtained over 2001-2021. Negative anomalies denote lower than normal TWS and vice-versa. The trend over time is thus deseasonalized and reflective of changes due to human impacts. | ||
</Prose> | ||
</Block> | ||
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||
<Block> | ||
<Prose> | ||
## Additional resources | ||
* [EIS Freshwater](https://freshwater.eis.smce.nasa.gov/) | ||
|
||
* [Land Information System](https://lis.gsfc.nasa.gov/) | ||
|
||
### Explore the Missions | ||
* [GRACE-FO](https://gracefo.jpl.nasa.gov/data/grace-fo-data/) | ||
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||
* [SMAP](https://smap.jpl.nasa.gov/) | ||
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||
* [MODIS](https://modis.gsfc.nasa.gov/) | ||
</Prose> | ||
</Block> |
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--- | ||
id: tws-trend | ||
name: 'Terrestrial Water Storage Trend' | ||
description: "Trend in TWS anomalies modeled using data assimilation within Land Information System framework" | ||
media: | ||
src: ::file ./twsanomaly-globe.png | ||
alt: TWS trend of anomalies from LIS outputs. | ||
author: | ||
name: NASA LIS | ||
url: | ||
taxonomy: | ||
- name: Topics | ||
values: | ||
- EIS | ||
layers: | ||
- id: lis-tws-trend | ||
stacCol: lis-tws-trend | ||
name: 'TWS Trend' | ||
type: raster | ||
description: 'Trends in TWS anomalies from LIS outputs' | ||
zoomExtent: | ||
- 0 | ||
- 11 | ||
sourceParams: | ||
bidx: 1 | ||
colormap_name: rdylbu | ||
rescale: | ||
- -1 | ||
- 1 | ||
nodata: -9999 | ||
legend: | ||
type: gradient | ||
label: Trend in TWS Anomaly | ||
min: "-1" | ||
max: "1" | ||
stops: | ||
- "#a50026" | ||
- "#f46d43" | ||
- "#fee090" | ||
- "#e0f3f8" | ||
- "#74add1" | ||
- "#313695" | ||
--- | ||
<Block type='full'> | ||
<Prose> | ||
## Overview | ||
Terrestrial water storage (TWS) is defined as the summation of all water on the land surface and in the subsurface. It includes surface soil moisture, root zone soil moisture, groundwater, snow, ice, water stored in the vegetation, river and lake water. | ||
</Prose> | ||
<Figure> | ||
<Map | ||
datasetId='tws-trend' | ||
layerId='lis-tws-trend' | ||
dateTime='2001-01-01' | ||
zoom={4} | ||
center={[-116,36]} | ||
/> | ||
<Caption | ||
attrAuthor='NASA' | ||
attrUrl='https://nasa.gov/' | ||
> | ||
Depleting TWS over CA captured by negative TWS anomaly trends | ||
</Caption> | ||
</Figure> | ||
</Block> | ||
|
||
<Block> | ||
<Prose> | ||
## Modeling TWS | ||
TWS is modeled using Noah-MP land surface model (LSM) within LIS framework by assimilating NASA earth observations of soil moisture from Soil Moisture Active Passive (SMAP), leaf area index from MODIS sensor, and TWS from GRACE/GRACE-FO. The modeled TWS is produced over global domain at a resolution of 10 km. | ||
</Prose> | ||
</Block> | ||
|
||
<Block type='full'> | ||
<Figure> | ||
<Map | ||
datasetId='tws-trend' | ||
layerId='lis-tws-trend' | ||
dateTime='2001-01-01' | ||
zoom={4} | ||
center={[77.63,24.27]} | ||
/> | ||
<Caption | ||
attrAuthor='NASA' | ||
attrUrl='https://nasa.gov/' | ||
> | ||
Trend in TWS anomalies over India showing large groundwater extraction leading to depleting TWS | ||
</Caption> | ||
</Figure> | ||
<Prose> | ||
## Interpreting the data | ||
The TWS anomalies are calculated as differences of raw TWS with the climatology obtained over 2001-2021. Negative anomalies denote lower than normal TWS and vice-versa. The trend over time is thus deseasonalized and reflective of changes due to human impacts. | ||
</Prose> | ||
</Block> | ||
|
||
|
||
<Block> | ||
<Prose> | ||
## Additional resources | ||
* [EIS Freshwater](https://freshwater.eis.smce.nasa.gov/) | ||
|
||
* [Land Information System](https://lis.gsfc.nasa.gov/) | ||
|
||
### Explore the Missions | ||
* [GRACE-FO](https://gracefo.jpl.nasa.gov/data/grace-fo-data/) | ||
|
||
* [SMAP](https://smap.jpl.nasa.gov/) | ||
|
||
* [MODIS](https://modis.gsfc.nasa.gov/) | ||
</Prose> | ||
</Block> | ||
|