Optimal precursors triggering the Kuroshio Extension state transition obtained by the Conditional Nonlinear Optimal Perturbation approach
文献类型：期刊论文
| 作者 | Zhang, Xing1,2 ; Mu, Mu3; Wang, Qiang1,4; Pierini, Stefano5
|
| 刊名 | ADVANCES IN ATMOSPHERIC SCIENCES
 |
| 出版日期 | 2017-06-01 |
| 卷号 | 34期号:6页码:685-699 |
| 关键词 | Kuroshio Extension States Transition Cnop Approach Optimal Precursor Ocean Modeling |
| DOI | 10.1007/s00376-017-6263-7 |
| 文献子类 | Article |
| 英文摘要 | In 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. |
| 语种 | 英语 |
| WOS记录号 | WOS:000400378100001 |
| 版本 | 出版稿 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/137043]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：海洋研究所
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