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Mesoscale wind stress-SST coupled perturbations in the Kuroshio Extension
Wei, Yanzhou1; Wang, Hongna2,3; Zhang, Rong-Hua2,3,4
2019-03-01
Source PublicationPROGRESS IN OCEANOGRAPHY
ISSN0079-6611
Volume172Pages:108-123
Corresponding AuthorWei, Yanzhou(weiyanzhou@sio.org.cn)
AbstractMesoscale 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.
KeywordMesoscale air-sea coupling Satellite observation Loess SVD Inverse method
DOI10.1016/j.pocean.2019.01.012
Indexed BySCI
Language英语
Funding ProjectNASA 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 Research AreaOceanography
WOS SubjectOceanography
WOS IDWOS:000460493500008
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/155341
Collection中国科学院海洋研究所
Corresponding AuthorWei, Yanzhou
Affiliation1.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
Recommended Citation
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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