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Numerical simulation of the Kuroshio intrusion into the South China Sea by a passive tracer
Liu Tongya; Xu Jiexin; He Yinghui; Lu Haibin; Yao Yuan; Cai Shuqun; Cai, SQ (reprint author), Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China.
2016
Source PublicationACTA OCEANOLOGICA SINICA
Volume35Issue:9Pages:2016-01-12
AbstractOwing to lack of observational data and accurate definition, it is difficult to distinguish the Kuroshio intrusion water from the Pacific Ocean into the South China Sea (SCS). By using a passive tracer to identify the Kuroshio water based on an observation-validated three-dimensional numerical model MITgcm, the spatio-temporal variation of the Kuroshio intrusion water into the SCS has been investigated. Our result shows the Kuroshio intrusion is of distinct seasonal variation in both horizontal and vertical directions. In winter, the intruding Kuroshio water reaches the farthest, almost occupying the area from 18 degrees N to 23 degrees N and 114 degrees E to 121 degrees E, with a small branch flowing towards the Taiwan Strait. The intrusion region of the Kuroshio water decreases with depth gradually. However, in summer, the Kuroshio water is confined to the east of 118 degrees E without any branch reaching the Taiwan Strait; meanwhile the intrusion region of the Kuroshio water increases from the surface to the depth about 205 m, then it decreases with depth. The estimated annual mean of Kuroshio Intrusion Transport (KIT) via the Luzon Strait is westward to the SCS in an amount of -3.86x10(6) m(3)/s, which is larger than the annual mean of Luzon Strait Transport (LST) of -3.15x10(6) m(3)/s. The KIT above 250 m accounts for 60%-80% of the LST throughout the entire water column. By analyzing interannual variation of the Kuroshio intrusion from the year 2003 to 2012, we find that the Kuroshio branch flowing into the Taiwan Strait is the weaker in winter of La Nina years than those in El Nino and normal years, which may be attributed to the wind stress curl off the southeast China then. Furthermore, the KIT correlates the Nino 3.4 index from 2003 to 2012 with a correlation coefficient of 0.41, which is lower than that of the LST with the Nino 3.4 index, i.e., 0.78.
Department[Liu Tongya; Xu Jiexin; He Yinghui; Cai Shuqun] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; [Liu Tongya] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Lu Haibin] Huaihai Inst Technol, Sch Geodesy & Geomat Engn, Lianyungang 222005, Peoples R China; [Yao Yuan] State Ocean Adm, North China Sea Branch, Qinhuangdao Marine Environm Monitoring Cent Stn, Qinhuangdao 066002, Peoples R China ; LTO
KeywordKuroshio Intrusion Spatio-temporal Variation Volume Transport Numerical Model South China Sea
Subject AreaOceanography
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/15250
Collection热带海洋环境国家重点实验室(LTO)
Corresponding AuthorCai, SQ (reprint author), Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China.
Recommended Citation
GB/T 7714
Liu Tongya,Xu Jiexin,He Yinghui,et al. Numerical simulation of the Kuroshio intrusion into the South China Sea by a passive tracer[J]. ACTA OCEANOLOGICA SINICA,2016,35(9):2016-01-12.
APA Liu Tongya.,Xu Jiexin.,He Yinghui.,Lu Haibin.,Yao Yuan.,...&Cai, SQ .(2016).Numerical simulation of the Kuroshio intrusion into the South China Sea by a passive tracer.ACTA OCEANOLOGICA SINICA,35(9),2016-01-12.
MLA Liu Tongya,et al."Numerical simulation of the Kuroshio intrusion into the South China Sea by a passive tracer".ACTA OCEANOLOGICA SINICA 35.9(2016):2016-01-12.
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