Location: Hydrology and Remote Sensing Laboratory2013 Annual Report
1a. Objectives (from AD-416):
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.
1b. Approach (from AD-416):
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.
3. Progress Report:
This project seeks to develop and implement a method to fuse temperature observations from multiple satellite sensors to create a spatially and temporally continuous dataset of diurnal land surface temperature. Work is proceeding to accomplish three primary objectives: 1. Develop a method to fuse temperature observations from multiple thermal and microwave satellite sensors to create a multi-year climatology of diurnal land surface temperature; 2. Produce a validated, continuous temperature data set that spans the decade of 2003-2013, with a 0.25-degree spatial and 3-hourly temporal resolution; and 3. Evaluate near-real-time capability for use in operational satellite retrieval methods that utilize temperature estimates at the exact overpass time of that satellite, as demonstrated within Advanced Microwave Scanning Radiometer Earth Observing System (AMSR-E) and Aquarius soil moisture retrievals. The project is on schedule with regards to the completion of these tasks. Objectives #1 and #2 have been completed and accompanying research has been documented in a two peer-reviewed manuscripts. Work is ongoing for Objective #3, but is expected to be finished by the completion of the project in early 2014.