Diagnosing Bias in Modeled Soil Moisture/Runoff Coefficient Correlation Using the SMAP Level 4 Soil Moisture Product
Author:
Affiliation:
1. USDA Hydrology and Remote Sensing Laboratory Beltsville MD USA
2. SSAI Inc. Greenbelt MD USA
3. NASA GSFC Global Modeling and Assimilation Office Greenbelt MD USA
4. I.M. Systems Group at NCEP EMC College Park MD USA
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025245
Reference33 articles.
1. Improving the representation of hydrologic processes in Earth System Models
2. Exploiting Soil Moisture, Precipitation, and Streamflow Observations to Evaluate Soil Moisture/Runoff Coupling in Land Surface Models
3. L band microwave remote sensing and land data assimilation improve the representation of prestorm soil moisture conditions for hydrologic forecasting
4. Assimilation of SMOS brightness temperatures or soil moisture retrievals into a land surface model
5. Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops
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