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The impact of amsr-e soil moisture assimilation on evapotranspiration estimation
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Kumar, Sujay Peters-Lidard, Christa D. Tian, Yudong Mocko, David |
| Copyright Year | 2012 |
| Description | An assessment ofETestimates for current LDAS systems is provided along with current research that demonstrates improvement in LSM ET estimates due to assimilating satellite-based soil moisture products. Using the Ensemble Kalman Filter in the Land Information System, we assimilate both NASA and Land Parameter Retrieval Model (LPRM) soil moisture products into the Noah LSM Version 3.2 with the North American LDAS phase 2 CNLDAS-2) forcing to mimic the NLDAS-2 configuration. Through comparisons with two global reference ET products, one based on interpolated flux tower data and one from a new satellite ET algorithm, over the NLDAS2 domain, we demonstrate improvement in ET estimates only when assimilating the LPRM soil moisture product. |
| File Size | 23183 |
| Page Count | 1 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20120008162 |
| Archival Resource Key | ark:/13960/t5v74f242 |
| Language | English |
| Publisher Date | 2012-05-01 |
| Access Restriction | Open |
| Subject Keyword | Earth Resources And Remote Sensing Assimilation Interpolation Soil Moisture Evapotranspiration Satellite Observation Kalman Filters Estimates Information Systems Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
