Implementation of a global-scale operational data assimilation system for satellite-based soil moisture retrievals

J. Bolten; W. Crow; X. Zhan; C. Reynolds

doi:10.1117/12.795272

10 September 2008 Implementation of a global-scale operational data assimilation system for satellite-based soil moisture retrievals

J. Bolten, W. Crow, X. Zhan, C. Reynolds

Author Affiliations +

Proceedings Volume 7085, Atmospheric and Environmental Remote Sensing Data Processing and Utilization IV: Readiness for GEOSS II; 70850K (2008) https://doi.org/10.1117/12.795272
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

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.

Citation Download Citation

J. Bolten, W. Crow, X. Zhan, and C. Reynolds "Implementation of a global-scale operational data assimilation system for satellite-based soil moisture retrievals", Proc. SPIE 7085, Atmospheric and Environmental Remote Sensing Data Processing and Utilization IV: Readiness for GEOSS II, 70850K (10 September 2008); https://doi.org/10.1117/12.795272

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