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Hydrology / Environmental engineering / Hydraulic engineering / Physical geography / Weather prediction / Rain / Data assimilation / Soil / Water content / Atmospheric sciences / Meteorology / Earth


Assimilation of Remote Sensing Data in a Hydrologic Model to Improve Estimates of Spatially Distributed Soil Moisture William Crosson, Charles Laymon, Ashutosh Limaye Global Hydrology and Climate Center 320 Sparkman Dr.
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Document Date: 2004-07-14 15:00:52

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File Size: 90,15 KB

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City

Huntsville / Normal / /

Company

AL 35762 Ramarao Inguva East-West Enterprises Inc. / /

Country

United States / /

Facility

Alabama A&M University / Agricultural Experiment Station / Remote Sensing Alabama A&M University / /

IndustryTerm

dense rain gauge network / /

Organization

Center for Hydrology / Soil Climatology and Remote Sensing / Tommy Coleman Center for Hydrology / Global Hydrology and Climate Center / National Oceanic and Atmospheric Administration / National Aeronautics and Space Administration / USDA / Alabama A&M University / /

Person

William Crosson / T.J. Jackson / Charles Laymon / /

Position

Coherent Radiative Transfer Model Control Simulation Soil moisture / surface flux-soil moisture model / ” Hydro / /

ProvinceOrState

Oklahoma / Alabama / /

Region

central Oklahoma / /

Technology

microwave / Remote Sensing / simulation / /

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