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


Assimilation of remote sensing data in a hydrologic model to improve estimates of spatially distributed soil moisture Bill Crosson, Charles Laymon Global Hydrology and Climate Center National Space Science and Technology
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Document Date: 2004-07-14 15:03:04

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File Size: 596,74 KB

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City

SHEELS / /

Currency

ARS / /

IndustryTerm

energy fluxes / soil energy fluxes / rain gage network / satellite-borne sensors / /

MusicGroup

TB / Soil / /

Organization

National Oceanic and Atmospheric Administration / USDA / Tom Coleman Center for Hydrology / /

Person

Bill Crosson / Sandy Clay Loam Sandy Loam Meteorological / Wael Khairy / Charles Laymon / Rama Inguva / Kalman Filter / Kalman Filter Basic / /

Position

Kong Radiative Transfer Model Forward / Uses Dobson dielectric mixing model / /

ProgrammingLanguage

K / /

Technology

microwave / remote sensing / simulation / dielectric / /

SocialTag