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Hydrologic Remote Sensing And Land Surface Data Assimilation, Hamid Moradkhani
Hydrologic Remote Sensing And Land Surface Data Assimilation, Hamid Moradkhani
Civil and Environmental Engineering Faculty Publications and Presentations
Accurate, reliable and skillful forecasting of key environmental variables such as soil moisture and snow are of paramount importance due to their strong influence on many water resources applications including flood control, agricultural production and effective water resources management which collectively control the behavior of the climate system. Soil moisture is a key state variable in land surface?atmosphere interactions affecting surface energy fluxes, runoff and the radiation balance. Snow processes also have a large influence on land-atmosphere energy exchanges due to snow high albedo, low thermal conductivity and considerable spatial and temporal variability resulting in the dramatic change on surface …