Assimilation of gravity data into a soil moisture and groundwater column model
نویسندگان
چکیده
منابع مشابه
Variational Gravity Data Assimilation to Improve Soil Moisture Prediction in a Land Surface Model
Accurate prediction of soil moisture in a land surface model (LSM) is critical in improving land surface and atmosphere interactions in the atmospheric general circulation models used in numerical weather prediction and global climate models. Gravity is a relatively new source of remotely sensed data, available since the launch of the twin Gravity Recovery And Climate Experiment (GRACE) satelli...
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Drought indicators based on model-assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations" (2012). NASA Publications. [1] The Gravity Recovery and Climate Experiment (GRACE) twin satellites observe time variations in Earth's gravity field which yield valuable information about changes in terrestrial water storage (TWS). GRACE is characterized by low sp...
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[1] This study evaluates regional-scale hydrological simulations of the newly developed community Noah land surface model (LSM) with multiparameterization options (Noah-MP). The model is configured for the Mississippi River Basin and driven by the North American Land Data Assimilation System Phase 2 atmospheric forcing at 1/8° resolution. The simulations are compared with various observational ...
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Soil hydrological processes play an important role in land-atmosphere system. In most climate models, these processes are described by soil moisture variations in the first 2 m of soil resulting from precipitation, evaporation, and transpiration. Groundwater effects on soil moisture variations and surface evaporation are either neglected or not explicitly treated. Although groundwater may have ...
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The upcoming deployment of satellite-based microwave sensors designed specifically to retrieve surface soil moisture represents an important milestone in efforts to develop hydrologic applications for remote sensing observations. However, typical measurement depths of microwave-based soil moisture retrievals are generally considered too shallow (top 2–5 cm of the soil column) for many important...
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