The Hydrological Science Laboratory at NASA’s Goddard Space Flight Center in cooperation with USDA Foreign Agricultural Services developed these datasets, which are operationally pushed to USDA-FAS, and displayed at the agency’s Crop Explorer web site. The assimilation of the satellite-derived soil moisture observations helped improve the model-based soil moisture predictions, particularly over poorly instrumented areas of the world that lack good quality precipitation data. The data set is generated by integrating satellite-derived Soil Moisture Active Passive (SMAP) and Soil Moisture Ocean Salinity (SMOS) soil moisture observations into the modified two-layer Palmer model using Ensemble Kalman Filter (EnKF) data assimilation approach. These data sets include: surface and subsurface soil moisture (mm), soil moisture profile (%), surface and subsurface soil moisture anomalies (-). The NASA-USDA Global soil moisture data provides soil moisture information across the globe at 0.25°x0.25°spatial resolution.
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