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Terrestrial Water Storage Forecasts


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Created: Nov 01, 2021 at 5 p.m.
Last updated: Nov 04, 2021 at 4:15 p.m. (Metadata update)
Published date: Nov 04, 2021 at 4:15 p.m.
DOI: 10.4211/hs.508fc30c230149d8b97977bea9c0f49b
Citation: See how to cite this resource
Content types: Multidimensional Content 
Sharing Status: Published
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Abstract

The terrestrial water storage (TWS) forecasts are produced using the Catchment Land Surface Model (CLSM) forced with NASA’s Goddard Earth Observing System (GEOS), and is a part of NASA’s Hydrological Forecast and Analysis System (NHyFAS). The initial conditions in this system do not use data assimilation. The TWS forecast data is over continental Africa and the Middle East at 25km or 0.25deg spatial resolution and monthly temporal resolution. It covers the period between 1982 to 2019, the forecasts are initialized on the first of every month from 1982 through 2018 and the forecast leads extend out to 6 months. The TWS forecasts are included as monthly files with the following coordinates: 37years(1982-2018) x 6leads x 4ensembles x 320latitudes x 320longitudes.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Continental Africa and the Middle East
North Latitude
40.0000°
East Longitude
60.0000°
South Latitude
-40.0000°
West Longitude
-20.0000°

Temporal

Start Date:
End Date:

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Related Resources

This resource is referenced by Cook, B. I., Slinski, K., Peters-Lidard, C., McNally, A., Arsenault, K., & Hazra, A. (2021). The efficacy of seasonal terrestrial water storage forecasts for predicting vegetation activity over Africa, Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-21-0046.1
The content of this resource is derived from NASA’s Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA2); Gelaro, R., and Coauthors, 2017: The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). J. Climate, 30, 5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1 .
The content of this resource is derived from Climate Hazards Group InfraRed Precipitation with Station data, version 2.0 (CHIRPS); Funk, C., and Coauthors, 2015: The climate hazards infrared precipitation with stations—A new environmental record for monitoring extremes. Sci. Data, 2, 150066, https://doi.org/10.1038/sdata.2015.66
The content of this resource is derived from NASA’s Goddard Earth Observing System version 2 (GEOS); Borovikov, A., R. Cullather, R. Kovach, J. Marshak, G. Vernieres, Y. Vikhliaev, B. Zhao, and Z. Li, 2019: GEOS-5 seasonal forecast system. Climate Dyn., 53, 7335–7361, https://doi.org/10.1007/S00382-017-3835-2
The content of this resource is derived from NASA's Hydrological Forecast and Analysis System (NHyFAS); Arsenault, K.R., and Coauthors, 2020: The NASA hydrological forecast system for food and water security applications. Bull. Amer. Meteor. Soc., 101, E1007–E1025, https://doi.org/10.1175/BAMS-D-18-0264.1.

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
U.S. Agency for International Development, Bureau of Humanitarian Assistance NA PAPA AID-FFP-T-17-00001
NASA Earth Science Applications: Food Security and Agriculture NASA Food Security and Agriculture Consortium (FSAC) 80NSSC18M0039

How to Cite

Hazra, A. (2021). Terrestrial Water Storage Forecasts, HydroShare, https://doi.org/10.4211/hs.508fc30c230149d8b97977bea9c0f49b

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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