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Estimating Evapotranspiration with Land Data Assimilation SystemsAdvancements in both land surface models (LSM) and land surface data assimilation, especially over the last decade, have substantially advanced the ability of land data assimilation systems (LDAS) to estimate evapotranspiration (ET). This article provides a historical perspective on international LSM intercomparison efforts and the development of LDAS systems, both of which have improved LSM ET skill. In addition, an assessment of ET estimates 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 (NLDAS-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
20120003860
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Peters-Lidard, C. D. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Kumar, S. V. (Science Applications International Corp. Beltsville, MD, United States)
Mocko, D. M. (Science Applications International Corp. Beltsville, MD, United States)
Tian, Y. (Earth System Science Interdisciplinary Center College Park, MD, US)
Date Acquired
August 25, 2013
Publication Date
October 1, 2011
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC.JA.5705.2011
Report Number: GSFC.JA.5705.2011
Funding Number(s)
CONTRACT_GRANT: AIST-08-077
Distribution Limits
Public
Copyright
Public Use Permitted.

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