Improving Soil Moisture Estimation with a Dual Ensemble Kalman Smoother by Jointly Assimilating AMSR-E Brightness Temperature and MODIS LST

Improving Soil Moisture Estimation with a Dual Ensemble Kalman Smoother by Jointly Assimilating AMSR-E Brightness Temperature and MODIS LST

Uncertainties in model parameters can easily result in systematic differences between model states and observations, which significantly affect the accuracy of soil moisture estimation in data assimilation systems. In this research, a soil moisture assimilation scheme is developed to jointly assimil...

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Bibliographic Details
Main Authors: Weijing Chen, Huanfeng Shen, Chunlin Huang, Xin Li
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Remote Sensing
Subjects:
data assimilation
soil moisture
state-parameter estimation
AMSR-E
MODIS
Common Land Model
Online Access:http://www.mdpi.com/2072-4292/9/3/273

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