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Hydrologic Modeling
MSFC scientists have established expertise in surface flux and streamflow models and have coupled these to create a fully distributed 3-D hydrologic model. The team has also developed a Kalman filter-based soil moisture assimilation algorithm and tested using aircraft microwave data.
Research
Focus Areas:
- 3-D soil moisture and temperature modeling with user-specified vertical and horizontal grid configuration
- Surface routing and streamflow modeling for flood events
- Improving real-time forecasting of flood magnitude and extent using Stage III rainfall data and HPC 12-hour rainfall forecasts
- Soil moisture data assimilation with 1-D Kalman filter
- Assimilate microwave brightness temperatures or soil moisture estimates given estimates of input uncertainties
- Validation of soil moisture retrieval algorithms from aircraft and satellite sensors (ESTAR, PALS, PSR, AMSR-E)
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Modeling Tools
SHEELS Land Surface Hydrology Model
Kalman Filter Assimilation Algorithms
Microwave Radiative Transfer Model
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Benchmark Testbeds
Little Washita Watershed, OK
(SGP 97)
Amite River Basin, LA
(2001 - 2003 flood events)
Soil Moisture Experiments 2002, IA
Blue River Basin, OK |
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