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The Impact of AMSR-E Soil Moisture Assimilation on Evapotranspiration EstimationAn 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.
Document ID
20120008162
Acquisition Source
Goddard Space Flight Center
Document Type
Other
Authors
Peters-Lidard, Christa D. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Kumar, Sujay (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Mocko, David (Science Applications International Corp. Beltsville, MD, United States)
Tian, Yudong (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 25, 2013
Publication Date
May 1, 2012
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC.ABS.5928.2012
Report Number: GSFC.ABS.5928.2012
Distribution Limits
Public
Copyright
Public Use Permitted.

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