Location: Hydrology and Remote Sensing Laboratory
2013 Annual Report
1)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; and.
3)optimize the formalism for deriving the TIR-based soil moisture estimate.
In Year 2 of this project, the primary accomplishments were to perform a detailed intercomparison of TIR and MW soil moisture estimates with model output from the NLDAS system. Regions of significant NLDAS-satellite discrepancy were identified and addressed to the extent possible, in many cases by moving toward input data fields that were more consistent between modeling systems. Remaining discrepancies have been evaluated for physical basis, revealing important differences in model capabilities to accurately retrieve soil moisture over irrigated land areas and regions influenced by shallow water table. These critical findings are being summarized in a manuscript for submission to a peer-reviewed journal.