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Data assimilation using support vector machines and ensemble Kalman filter for multi-layer soil moisture prediction

Di LIU Zhong-bo YU Hai-shen L(U)

水科学与水工程2010，Vol.3Issue(4)：361-377,17.

水科学与水工程2010，Vol.3Issue(4)：361-377,17.DOI:10.3882/j.issn.1674-2370.2010.04.001

Data assimilation using support vector machines and ensemble Kalman filter for multi-layer soil moisture prediction

Di LIU ¹Zhong-bo YU ¹Hai-shen L(U)²

作者信息

1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, P. R. China
2. Department of Geoscience, University of Nevada Las Vegas, Las Vegas 89154, USA
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摘要

关键词

data assimilation/support vector machines/ensemble Kalman filter/soil moisture

Key words

data assimilation/support vector machines/ensemble Kalman filter/soil moisture

引用本文复制引用

Di LIU,Zhong-bo YU,Hai-shen L(U)..Data assimilation using support vector machines and ensemble Kalman filter for multi-layer soil moisture prediction[J].水科学与水工程,2010,3(4):361-377,17.

基金项目

This work was supported by the National Basic Research Program of China (the 973 Program, Grant No. 2010CB951101) and the Program for Changjiang Scholars and Innovative Research Teams in Universities, the Ministry of Education, China (Grant No. IRT0717). （the 973 Program, Grant No. 2010CB951101）

水科学与水工程

OAEI

ISSN：1674-2370

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