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Revert "remove dataset"
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This reverts commit 64f85c9.
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siddharth0248 committed Jun 26, 2024
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120 changes: 120 additions & 0 deletions datasets/twsanomaly.data.mdx
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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>

</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-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>

<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>
111 changes: 111 additions & 0 deletions datasets/twstrend.data.mdx
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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>

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