Location: Hydrology and Remote Sensing Laboratory
Project Number: 8042-13610-028-19-R
Project Type: Reimbursable
Start Date: Jan 5, 2011
End Date: Jan 31, 2015
This project seeks to develop, test and implement a data assimilation system to estimate surface temperature via the fusion of continuous land surface temperature forecasts obtained from numerical weather prediction models with sporadic estimates of surface soil moisture available from existing satellite microwave radiometers.
This project objective will be addressed in four separate phases: 1) Phase 1: Apply quality control to existing satellite-based surface soil moisture products. 2) Phase 2: Examine the cross-calibration between existing satellite-based surface soil moisture products. 3) Phase 3: Adapt an Ensemble Kalman filter to integrate the (quality controlled and cross-calibrated) remote sensing products with surface temperature predictions from land surface model. 4) Phase 4: Evaluate the resulting surface temperature product and surface soil moisture retrievals obtained using the surface temperature product.