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Effects of nonlinear physical processes on optimal error growth in predictability experiments of the Kuroshio Large Meander
Wang, Qiang1,2; Mu, Mu1; Dijkstra, Henk A.3; Mu, M
2013-12-01
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
ISSN2169-9275
卷号118期号:12页码:6425-6436
文章类型Article
摘要Within a 1.5-layer shallow-water model, the effects of nonlinear physical processes on the optimal error growth in the predictability experiments of the Kuroshio Large Meander (LM) are investigated. To clarify these effects, we use both the conditional nonlinear optimal perturbation (CNOP) and the first singular vector (FSV) methods. By examining the nonlinear evolution of the CNOPs and the FSVs, we find that the nonlinear physical processes play an important role in the error growth, in particular for the initial errors with large amplitudes. The specific roles of nonlinear processes in error growth are identified by determining the error development in modified nonlinear equations in which particular terms are neglected. The results demonstrate that advection of momentum perturbations, associated with the nonlinear development of barotropic instabilities, tend to enhance the evolution of the errors and cause the forecasted Kuroshio Large Meander to be strengthened. The nonlinear process related to the divergence of velocity perturbations caused by upper-layer thickness perturbations enhances the optimal error growth, whereas the advection of upper-layer thickness perturbations by velocity perturbations suppresses it.; Within a 1.5-layer shallow-water model, the effects of nonlinear physical processes on the optimal error growth in the predictability experiments of the Kuroshio Large Meander (LM) are investigated. To clarify these effects, we use both the conditional nonlinear optimal perturbation (CNOP) and the first singular vector (FSV) methods. By examining the nonlinear evolution of the CNOPs and the FSVs, we find that the nonlinear physical processes play an important role in the error growth, in particular for the initial errors with large amplitudes. The specific roles of nonlinear processes in error growth are identified by determining the error development in modified nonlinear equations in which particular terms are neglected. The results demonstrate that advection of momentum perturbations, associated with the nonlinear development of barotropic instabilities, tend to enhance the evolution of the errors and cause the forecasted Kuroshio Large Meander to be strengthened. The nonlinear process related to the divergence of velocity perturbations caused by upper-layer thickness perturbations enhances the optimal error growth, whereas the advection of upper-layer thickness perturbations by velocity perturbations suppresses it.
关键词Error Growth Kuroshio Large Meander Cnop Singular Vector
学科领域Oceanography
DOI10.1002/2013JC009276
URL查看原文
收录类别SCI
语种英语
WOS研究方向Oceanography
WOS类目Oceanography
WOS记录号WOS:000329926200007
WOS关键词RANGE PREDICTION EXPERIMENTS ; PATH VARIABILITIES SOUTH ; DATA-ASSIMILATION ; OPTIMAL PERTURBATION ; WIND STRESS ; JAPAN ; MODEL ; OCEAN ; BIMODALITY ; EXTENSION
WOS标题词Science & Technology ; Physical Sciences
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被引频次:26[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/16406
专题海洋环流与波动重点实验室
通讯作者Mu, M
作者单位1.Chinese Acad Sci, Key Lab Ocean Circulat & Waves, Inst Oceanol, Qingdao 266071, Peoples R China
2.Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing, Peoples R China
3.Univ Utrecht, Dept Phys & Astron, Inst Marine & Atmospher Res Utrecht, Utrecht, Netherlands
第一作者单位海洋环流与波动重点实验室
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Wang, Qiang,Mu, Mu,Dijkstra, Henk A.,et al. Effects of nonlinear physical processes on optimal error growth in predictability experiments of the Kuroshio Large Meander[J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,2013,118(12):6425-6436.
APA Wang, Qiang,Mu, Mu,Dijkstra, Henk A.,&Mu, M.(2013).Effects of nonlinear physical processes on optimal error growth in predictability experiments of the Kuroshio Large Meander.JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,118(12),6425-6436.
MLA Wang, Qiang,et al."Effects of nonlinear physical processes on optimal error growth in predictability experiments of the Kuroshio Large Meander".JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS 118.12(2013):6425-6436.
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