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Eulerian and Lagrangian Statistics in the South China Sea as Deduced from Surface Drifters
[Qian, Yu-Kun; Peng, Shiqiu; Li, Yineng] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; speng@scsio.ac.cn
2013
Source PublicationJOURNAL OF PHYSICAL OCEANOGRAPHY
ISSN0022-3670
Volume43Issue:4Pages:726-743
AbstractEulerian and Lagrangian statistics of the surface flows over the South China Sea (SCS) are investigated based on observations of satellite-tracked Lagrangian drifters of the Surface Velocity Program. Although the dataset contains the most recent observations up to 2011, the spatial and temporal distributions of the data are quite inhomogeneous. The Luzon Strait as well as the northern and western parts of the SCS are heavily sampled by drifters whereas the internal SCS is less sampled. The overall Eulerian mean circulation derived from all drifter observations resembles the wintertime circulations because of the seasonal sampling bias toward wintertime. It is found that the calculation of the diffusivity may be misled by the low-frequency temporal variabilities such as annual cycle, which could be removed using the Gauss-Markov decomposition. In the regions around Luzon Strait, typical values of diffusivity, time scale, and length scale are 3.7-11.9 x 10(7) cm(2) s(-1), 0.8-1.9 days, and 16.4-44.4 km, respectively. In the regions around Hainan Island and the western boundary of the SCS, the typical estimated diffusivity and length scale are slightly smaller, that is, 2.3-6.9x10(7) cm(2) s(-1) and 12.8-33.7 km while the time scale (0.8-2.0 days) is approximately the same as that in the regions around Luzon Strait. Although these regions are close to the coast, the "flux versus gradient" relationship is still valid in these coastal regions.
DepartmentLTO
Subject AreaOceanography
Funding OrganizationThis work was jointly supported by the MOST of China (Grant 2011CB403505), Chinese Academy of Sciences through the Project KZCX2-EW-208, the National Natural Science Foundation of China (Grant 41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. Thanks to Rick Lumpkin from NOAA for providing his code of GM decomposition. Constructive comments and suggestions from the two anonymous reviewers are also gratefully acknowledged. ; This work was jointly supported by the MOST of China (Grant 2011CB403505), Chinese Academy of Sciences through the Project KZCX2-EW-208, the National Natural Science Foundation of China (Grant 41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. Thanks to Rick Lumpkin from NOAA for providing his code of GM decomposition. Constructive comments and suggestions from the two anonymous reviewers are also gratefully acknowledged. ; This work was jointly supported by the MOST of China (Grant 2011CB403505), Chinese Academy of Sciences through the Project KZCX2-EW-208, the National Natural Science Foundation of China (Grant 41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. Thanks to Rick Lumpkin from NOAA for providing his code of GM decomposition. Constructive comments and suggestions from the two anonymous reviewers are also gratefully acknowledged. ; This work was jointly supported by the MOST of China (Grant 2011CB403505), Chinese Academy of Sciences through the Project KZCX2-EW-208, the National Natural Science Foundation of China (Grant 41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. Thanks to Rick Lumpkin from NOAA for providing his code of GM decomposition. Constructive comments and suggestions from the two anonymous reviewers are also gratefully acknowledged.
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Language英语
Funding OrganizationThis work was jointly supported by the MOST of China (Grant 2011CB403505), Chinese Academy of Sciences through the Project KZCX2-EW-208, the National Natural Science Foundation of China (Grant 41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. Thanks to Rick Lumpkin from NOAA for providing his code of GM decomposition. Constructive comments and suggestions from the two anonymous reviewers are also gratefully acknowledged. ; This work was jointly supported by the MOST of China (Grant 2011CB403505), Chinese Academy of Sciences through the Project KZCX2-EW-208, the National Natural Science Foundation of China (Grant 41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. Thanks to Rick Lumpkin from NOAA for providing his code of GM decomposition. Constructive comments and suggestions from the two anonymous reviewers are also gratefully acknowledged. ; This work was jointly supported by the MOST of China (Grant 2011CB403505), Chinese Academy of Sciences through the Project KZCX2-EW-208, the National Natural Science Foundation of China (Grant 41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. Thanks to Rick Lumpkin from NOAA for providing his code of GM decomposition. Constructive comments and suggestions from the two anonymous reviewers are also gratefully acknowledged. ; This work was jointly supported by the MOST of China (Grant 2011CB403505), Chinese Academy of Sciences through the Project KZCX2-EW-208, the National Natural Science Foundation of China (Grant 41076009), and the Hundred Talent Program of the Chinese Academy of Sciences. Thanks to Rick Lumpkin from NOAA for providing his code of GM decomposition. Constructive comments and suggestions from the two anonymous reviewers are also gratefully acknowledged.
WOS IDWOS:000317917500004
Citation statistics
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/10923
Collection热带海洋环境国家重点实验室(LTO)
Corresponding Authorspeng@scsio.ac.cn
Recommended Citation
GB/T 7714
[Qian, Yu-Kun,Peng, Shiqiu,Li, Yineng] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China,et al. Eulerian and Lagrangian Statistics in the South China Sea as Deduced from Surface Drifters[J]. JOURNAL OF PHYSICAL OCEANOGRAPHY,2013,43(4):726-743.
APA [Qian, Yu-Kun,Peng, Shiqiu,Li, Yineng] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China,&speng@scsio.ac.cn.(2013).Eulerian and Lagrangian Statistics in the South China Sea as Deduced from Surface Drifters.JOURNAL OF PHYSICAL OCEANOGRAPHY,43(4),726-743.
MLA [Qian, Yu-Kun,et al."Eulerian and Lagrangian Statistics in the South China Sea as Deduced from Surface Drifters".JOURNAL OF PHYSICAL OCEANOGRAPHY 43.4(2013):726-743.
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