Location: Hydrology and Remote Sensing Laboratory
2012 Annual Report
1) Assemble remote sensing inputs required to generate soil moisture estimates from thermal infrared (TIR) and microwave (MW) band satellite imagery for assimilation into the National Land Data Assimilation System (NLDAS).
2) Execute a sequence of data assimilation experiments involving single assimilation of TIR and MW soil moisture estimates, and then demonstrating the value added by dual assimilation of both TIR and MW data. Performance is assessed by running NLDAS using a degraded precipitation input dataset, and quantifying improvement in soil moisture estimates achieved through assimilation in comparison with a control run using high quality precipitation data.
3) Optimize the formalism for deriving the TIR-based soil moisture estimate.