Optimal Precursors Triggering the Kuroshio Extension State Transition Obtained by the Conditional Nonlinear Optimal Perturbation Approach
文献类型:CNKI期刊论文
作者 | Xing ZHANG![]() |
发表日期 | 2017-06-10 |
出处 | Advances in Atmospheric Sciences
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关键词 | Kuroshio Extension states transition CNOP approach optimal precursor ocean modeling |
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. |
文献子类 | CNKI期刊论文 |
资助机构 | supported by the National Natural Science Foundation of China (Grant Nos. 41576015, 41306023, 41490644 and 41490640) ; the Natural Science Foundation Of China (NSFC) Innovative Group (Grant No. 41421005) ; the NSFC–Shandong Joint Fund for Marine Science Research Centers (Grant No. U1406401) ; support from the University of Naples Parthenope (Grant No. DSTE315) |
卷 | v.34期:06页:3-17 |
语种 | 英文; |
分类号 | P731.27 |
ISSN号 | 0256-1530 |
源URL | [http://ir.qdio.ac.cn/handle/337002/189300] ![]() |
专题 | 中国科学院海洋研究所 |
作者单位 | 1.FunctionLaboratoryforOceanDynamicsandClimate,QingdaoNationalLaboratoryforMarineScienceandTechnology 2.KeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,ChineseAcademyofSciences 3.UniversityofChineseAcademyofSciences 4.InstituteofAtmosphericSciences,FudanUniversity 5.DepartmentofScienceandTechnology,ParthenopeUniversityofNaples |
推荐引用方式 GB/T 7714 | Xing ZHANG,Mu MU,Qiang WANG,et al. Optimal Precursors Triggering the Kuroshio Extension State Transition Obtained by the Conditional Nonlinear Optimal Perturbation Approach. 2017. |
入库方式: OAI收割
来源:海洋研究所
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