L band microwave remote sensing and land data assimilation improve the representation of prestorm soil moisture conditions for hydrologic forecasting
Author:
Affiliation:
1. USDA Hydrology and Remote Sensing Laboratory; Beltsville Maryland USA
2. Science Systems and Applications Inc; Greenbelt Maryland USA
3. NASA GSFC Global Modeling and Assimilation Office; Greenbelt Maryland USA
Funder
NASA Soil Moisture Active Passive Mission
NASA Terrestrial Hydrology Program
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017GL073642/fullpdf
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5. The added value of spaceborne passive microwave soil moisture retrievals for forecasting rainfall-runoff partitioning;Crow;Geophys. Res. Lett.,2005
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