Timely and accurate monitoring of global weather anomalies and drought conditions is essential for assessing global
crop conditions. Soil moisture observations are particularly important for crop yield fluctuations provided by the US
Department of Agriculture (USDA) Production Estimation and Crop Assessment Division (PECAD). The current system
utilized by PECAD estimates soil moisture from a 2-layer water balance model based on precipitation and temperature
data from World Meteorological Organization (WMO) and US Air Force Weather Agency (AFWA). The accuracy of
this system is highly dependent on the data sources used; particularly the accuracy, consistency, and spatial and temporal
coverage of the land and climatic data input into the models. However, many regions of the globe lack observations at
the temporal and spatial resolutions required by PECAD. This study incorporates NASA's soil moisture remote sensing
product provided by the EOS Advanced Microwave Scanning Radiometer (AMSR-E) into the U.S. Department of
Agriculture Crop Assessment and Data Retrieval (CADRE) decision support system. A quasi-global-scale operational
data assimilation system has been designed and implemented to provide CADRE a daily product of integrated AMSR-E
soil moisture observations with the PECAD two-layer soil moisture model forecasts. A methodology of the system
design and a brief evaluation of the system performance over the Conterminous United States (CONUS) is presented.
Conference Committee Involvement (2)
Remote Sensing and Modeling of Ecosystems for Sustainability IX
16 August 2012 | San Diego, California, United States
Remote Sensing and Modeling of Ecosystems for Sustainability VIII
23 August 2011 | San Diego, California, United States
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