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Proceedings Paper

Dual state-parameter estimation of land surface model through assimilating microwave brightness temperature
Author(s): Bin Peng; Jiancheng Shi; Yonghui Lei; Tianjie Zhao; Dongyang Li
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Paper Abstract

Besides uncertainties introduced by atmospheric forcing and initial states, land surface simulation results are mainly determined by model structure and related model parameters. Traditional data assimilation approaches, as they only focus on mathematically updating the simulated states when observations become available, have little intrinsic improvement in the model performance. Model parameter optimization will lead to reduced biases in simulation results and then a better forecasting skill can be expected. Therefore, calibrating model parameters and updating states simultaneously in the framework of sequential model-data fusion would be valuable for uncertainty quantification. A dual state-parameter estimation land data assimilation system is implemented in this paper by coupling the Variable Infiltration Capacity(VIC) land surface model, the Tau-Omega Radiative Transfer Model(RTM) and Sampling Importance Resampling Particle Filter(SIR-PF) algorithm. Passive microwave brightness temperature observations from Passive/Active L and S band (PALS) sensor in SMEX02 are assimilated and the results demonstrate that both soil moisture states and model lumped parameters can be estimated simultaneously.

Paper Details

Date Published: 8 November 2014
PDF: 10 pages
Proc. SPIE 9260, Land Surface Remote Sensing II, 92600X (8 November 2014); doi: 10.1117/12.2069608
Show Author Affiliations
Bin Peng, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)
Jiancheng Shi, Institute of Remote Sensing and Digital Earth (China)
Yonghui Lei, Institute of Remote Sensing and Digital Earth (China)
Tianjie Zhao, Institute of Remote Sensing and Digital Earth (China)
Dongyang Li, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 9260:
Land Surface Remote Sensing II
Thomas J. Jackson; Jing Ming Chen; Peng Gong; Shunlin Liang, Editor(s)

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