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Results from Assimilating AMSR-E Soil Moisture Estimates into a Land Surface Model Using an Ensemble Kalman Filter in the Land Information SystemImprove simulations of soil moisture/temperature, and consequently boundary layer states and processes, by assimilating AMSR-E soil moisture estimates into a coupled land surface-mesoscale model Provide a new land surface model as an option in the Land Information System (LIS)
Document ID
20100010244
Acquisition Source
Marshall Space Flight Center
Document Type
Conference Paper
Authors
Blankenship, Clay B. (Universities Space Research Association Huntsville, AL, United States)
Crosson, William L. (Universities Space Research Association Huntsville, AL, United States)
Case, Jonathan L. (ENSCO, Inc. Huntsville, AL, United States)
Hale, Robert (Colorado State Univ. Fort Collins, CO, United States)
Date Acquired
August 24, 2013
Publication Date
January 17, 2010
Subject Category
Geophysics
Report/Patent Number
M10-0327
Report Number: M10-0327
Meeting Information
Meeting: 90th American Meteorological Society''s (AMS) Annual Meeting
Location: Atlanta, GA
Country: United States
Start Date: January 17, 2010
End Date: January 22, 2010
Distribution Limits
Public
Copyright
Public Use Permitted.

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