Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint

Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint

Model simulated soil moisture fields are often biased due to errors in input parameters and deficiencies in model physics. Satellite derived soil moisture estimates, if retrieved appropriately, represent the spatial mean of near surface soil moisture in a footprint area, and can be used to reduce bi...

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Bibliographic Details
Main Authors:	B. Li, D. Toll, X. Zhan, B. Cosgrove
Format:	Article
Language:	English
Published:	Copernicus Publications 2012-01-01
Series:	Hydrology and Earth System Sciences
Online Access:	http://www.hydrol-earth-syst-sci.net/16/105/2012/hess-16-105-2012.pdf

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