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Optimal Initial Error Growth in the Prediction of the Kuroshio Large Meander Based on a High-resolution Regional Ocean Model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 11, 页码: 1362-1372
Authors:  Li, Xia;  Wang, Qiang;  Mu, Mu
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Kuroshio large meander  predictability  ROMS  optimal initial error growth  
Identifying sensitive areas of adaptive observations for prediction of the Kuroshio large meander using a shallow-water model 期刊论文
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2016, 卷号: 34, 期号: 5, 页码: 1122-1133
Authors:  Zou Guang'an;  Wang Qiang;  Mu Mu
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Kuroshio Large Meander  Conditional Nonlinear Optimal Perturbation (Cnop)  First Singular Vector (Fsv)  Sensitive Areas  
Impact of nonlinear processes on formation of the Kuroshio large meander path in a barotropic inflow-outflow model 期刊论文
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2015, 卷号: 33, 期号: 1, 页码: 252-261
Authors:  Zhang Peijun;  Wang Qiang;  Ma Libin
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Kuroshio Large Meander  Nonlinear Perturbation Advection  Conditional Nonlinear Optimal Perturbation (Cnop)  
Effects of nonlinear physical processes on optimal error growth in predictability experiments of the Kuroshio Large Meander 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2013, 卷号: 118, 期号: 12, 页码: 6425-6436
Authors:  Wang, Qiang;  Mu, Mu;  Dijkstra, Henk A.;  Mu, M
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Error Growth  Kuroshio Large Meander  Cnop  Singular Vector  
Optimal precursor of the transition from Kuroshio large meander to straight path 期刊论文
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2013, 卷号: 31, 期号: 5, 页码: 1153-1161
Authors:  Wang Qiang;  Ma Libin;  Xu Qiangqiang;  Ma, LB
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Kuroshio Large Meander (Lm)  Precursor  Conditional Nonlinear Optimal Perturbation (Cnop)  
Application of the conditional nonlinear optimal perturbation method to the predictability study of the Kuroshio large meander 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2012, 卷号: 29, 期号: 1, 页码: 118-134
Authors:  Wang Qiang;  Mu Mu;  Dijkstra, Henk A.;  Mu, M (reprint author), Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Wave, Qingdao 266071, Peoples R China.
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Conditional Nonlinear Optimal Perturbation  Kuroshio Large Meander  Predictability  Model Parameters