Mesoscale wind stress-SST coupled perturbations in the Kuroshio Extension

doi:10.1016/j.pocean.2019.01.012

IOCAS-IR

	Mesoscale wind stress-SST coupled perturbations in the Kuroshio Extension
	Wei, Yanzhou1 ; Wang, Hongna 2,3; Zhang, Rong-Hua2,3,4
	2019-03-01
发表期刊	PROGRESS IN OCEANOGRAPHY
ISSN	0079-6611
卷号	172 页码:108-123
通讯作者	Wei, Yanzhou(weiyanzhou@sio.org.cn)
摘要	Mesoscale perturbations of wind stress (TMs) and sea surface temperature (SSTMS) in the Kuroshio Extension (KE) are analyzed using long-term high-resolution satellite observations. Mesoscale wind stress and SST perturbations are first extracted using a locally weighted regression (loess) method, and then analyzed using statistical methods, including linear regression, Singular Value Decomposition (SVD), and the inverse method. The coupling coefficient between mesoscale wind stress magnitude vertical bar tau vertical bar(MS) and SSTMS,, and those between mesoscale wind stress divergence (curl) and downwind (crosswind) SST gradients, exhibit distinct seasonal variability, with large values in winter and small values in summer, consistent with previous studies. The three leading SVD modes for vertical bar tau vertical bar(MS) and SSTMS show highly consistent variability in both spatial patterns and temporal expansion coefficients, and the temporal expansion coefficients exhibit distinct seasonal and interannual variability; these modes are associated with inherent seasonal variability of vertical bar tau vertical bar(MS) and SSTMS and interannual variability of the KE jet dynamic state. Based on the observed coupling relationships between wind stress divergence (curl) and downwind (crosswind) SST gradients, an empirical model for mesoscale wind stress vector perturbations (tau(x), tau(y))(MS) = F(SST) is established; this model solves (tau(x), tau(y))(MS) from their divergence and curl estimated from SST gradient data using an inverse method. This newly established (tau(x), tau(y))(MS) = F(SST) model produces reasonably consistent solutions compared to the one established based on the empirical relationship between vertical bar tau vertical bar(MS) and SSTMS. Furthermore, this model could separate divergence-only and curl-only wind stress perturbations to study their respective effects, and thus is promising and will contribute to ocean dynamic analyses.
关键词	Mesoscale air-sea coupling Satellite observation Loess SVD Inverse method
DOI	10.1016/j.pocean.2019.01.012
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[41621064] ; National Natural Science Foundation of China[41490644(41490640)] ; National Key R&D Program of China[2017YFC1404102(2017YFC1404100)] ; NASA Ocean Vector Winds Science Team ; AMSR-E Science Team ; NASA Earth Science MEaSUREs DISCOVER Project ; NASA Earth Science MEaSUREs DISCOVER Project ; AMSR-E Science Team ; NASA Ocean Vector Winds Science Team ; National Key R&D Program of China[2017YFC1404102(2017YFC1404100)] ; National Natural Science Foundation of China[41490644(41490640)] ; National Natural Science Foundation of China[41621064]
WOS研究方向	Oceanography
WOS类目	Oceanography
WOS记录号	WOS:000460493500008
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：1[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/337002/155340
专题	中国科学院海洋研究所
通讯作者	Wei, Yanzhou
作者单位	1.Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 3.Qingdao Natl Lab Marine Sci & Technol, Qingdao, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wei, Yanzhou,Wang, Hongna,Zhang, Rong-Hua. Mesoscale wind stress-SST coupled perturbations in the Kuroshio Extension[J]. PROGRESS IN OCEANOGRAPHY,2019,172:108-123.
APA	Wei, Yanzhou,Wang, Hongna,&Zhang, Rong-Hua.(2019).Mesoscale wind stress-SST coupled perturbations in the Kuroshio Extension.PROGRESS IN OCEANOGRAPHY,172,108-123.
MLA	Wei, Yanzhou,et al."Mesoscale wind stress-SST coupled perturbations in the Kuroshio Extension".PROGRESS IN OCEANOGRAPHY 172(2019):108-123.

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