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Identifying sensitive areas of adaptive observations for prediction of the Kuroshio large meander using a shallow-water model

ZOU Guang'an WANG Qiang MU Mu

中国海洋湖沼学报（英文版）2016，Vol.34Issue(5)：1122-1133,12.

Identifying sensitive areas of adaptive observations for prediction of the Kuroshio large meander using a shallow-water model

ZOU Guang'an ¹WANG Qiang ²MU Mu³

作者信息

1. Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071,China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. School of Mathematics and Statistics, Henan University, Kaifeng 475004, China
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摘要

关键词

Kuroshio large meander/conditional nonlinear optimal perturbation (CNOP)/first singular vector (FSV)/sensitive areas

Key words

Kuroshio large meander/conditional nonlinear optimal perturbation (CNOP)/first singular vector (FSV)/sensitive areas

引用本文复制引用

ZOU Guang'an,WANG Qiang,MU Mu..Identifying sensitive areas of adaptive observations for prediction of the Kuroshio large meander using a shallow-water model[J].中国海洋湖沼学报（英文版）,2016,34(5):1122-1133,12.

基金项目

Supported by the National Natural Science Foundation of China (Nos.41230420,41306023),the Strategic Priority Research Program of Chinese Academy of Sciences (No.XDA11010303),and the NSFC-Shandong Joint Fund for Marine Science Research Centers (No.U1406401) （Nos.41230420,41306023）

中国海洋湖沼学报（英文版）

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ISSN：2096-5508

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