Exploiting Soil Moisture, Precipitation, and Streamflow Observations to Evaluate Soil Moisture/Runoff Coupling in Land Surface Models
Author:
Affiliation:
1. Hydrology and Remote Sensing Laboratory; USDA; Beltsville MD USA
2. SSAI Inc.; Greenbelt MD USA
3. Global Modeling and Assimilation Office; NASA GSFC; Greenbelt MD USA
4. I.M. Systems Group; EMC, NCEP; College Park MD USA
Funder
National Aeronautics and Space Administration
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1029/2018GL077193/fullpdf
Reference38 articles.
1. Improving the representation of hydrologic processes in Earth System Models;Clark;Water Resources Research,2015
2. Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project;Cosgrove;Journal of Geophysical Research,2003
3. The added value of spaceborne passive microwave soil moisture retrievals for forecasting rainfall-runoff partitioning;Crow;Geophysical Research Letters,2005
4. L-band microwave remote sensing and land data assimilation improve the representation of pre-storm soil moisture conditions for hydrologic forecasting;Crow;Geophysical Research Letters,2017
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