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Optimal precursors triggering the Kuroshio Extension state transition obtained by the Conditional Nonlinear Optimal Perturbation approach
Zhang, Xing1,2; Mu, Mu3; Wang, Qiang1,4; Pierini, Stefano5
2017-06-01
Source PublicationADVANCES IN ATMOSPHERIC SCIENCES
Volume34Issue:6Pages:685-699
SubtypeArticle
AbstractIn this study, the initial perturbations that are the easiest to trigger the Kuroshio Extension (KE) transition connecting a basic weak jet state and a strong, fairly stable meandering state, are investigated using a reduced-gravity shallow water ocean model and the CNOP (Conditional Nonlinear Optimal Perturbation) approach. This kind of initial perturbation is called an optimal precursor (OPR). The spatial structures and evolutionary processes of the OPRs are analyzed in detail. The results show that most of the OPRs are in the form of negative sea surface height (SSH) anomalies mainly located in a narrow band region south of the KE jet, in basic agreement with altimetric observations. These negative SSH anomalies reduce the meridional SSH gradient within the KE, thus weakening the strength of the jet. The KE jet then becomes more convoluted, with a high-frequency and large-amplitude variability corresponding to a high eddy kinetic energy level; this gradually strengthens the KE jet through an inverse energy cascade. Eventually, the KE reaches a high-energy state characterized by two well defined and fairly stable anticyclonic meanders. Moreover, sensitivity experiments indicate that the spatial structures of the OPRs are not sensitive to the model parameters and to the optimization times used in the analysis.
KeywordKuroshio Extension States Transition Cnop Approach Optimal Precursor Ocean Modeling
DOI10.1007/s00376-017-6263-7
Indexed BySCI
Language英语
WOS IDWOS:000400378100001
Citation statistics
Document Type期刊论文
Version出版稿
Identifierhttp://ir.qdio.ac.cn/handle/337002/137043
Collection海洋环流与波动重点实验室
Affiliation1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Fudan Univ, Inst Atmospher Sci, Shanghai 200433, Peoples R China
4.Qingdao Natl Lab Marine Sci & Technol, Funct Lab Ocean Dynam & Climate, Qingdao 266237, Peoples R China
5.Parthenope Univ Naples, Dept Sci & Technol, I-80143 Naples, Italy
First Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhang, Xing,Mu, Mu,Wang, Qiang,et al. Optimal precursors triggering the Kuroshio Extension state transition obtained by the Conditional Nonlinear Optimal Perturbation approach[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2017,34(6):685-699.
APA Zhang, Xing,Mu, Mu,Wang, Qiang,&Pierini, Stefano.(2017).Optimal precursors triggering the Kuroshio Extension state transition obtained by the Conditional Nonlinear Optimal Perturbation approach.ADVANCES IN ATMOSPHERIC SCIENCES,34(6),685-699.
MLA Zhang, Xing,et al."Optimal precursors triggering the Kuroshio Extension state transition obtained by the Conditional Nonlinear Optimal Perturbation approach".ADVANCES IN ATMOSPHERIC SCIENCES 34.6(2017):685-699.
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