Interannual variability of the South China Sea throughflow inferred from wind data and an ocean data assimilation produc

CORC > 南海海洋研究所 > 中国科学院南海海洋研究所 > 热带海洋环境国家重点实验室(LTO)

	Interannual variability of the South China Sea throughflow inferred from wind data and an ocean data assimilation produc
	Wang, DX ; Liu, QY ; Huang, RX ; Du, Y ; Qu, TD
刊名	GEOPHYSICAL RESEARCH LETTERS
	2006
卷号	33 期号:14 页码:-
ISSN号	0094-8276
通讯作者	dxwang@scsio.ac.cn
中文摘要	The Luzon Strait transport, as an index for the South China Sea throughflow, has attracted much attention recently. In this study the interannual variability of Luzon Strait transport is examined, using the Island Rule and results from ocean data assimilation. Transport variability obtained from these two approaches is consistent with each other. Assessment of contribution from each integral segment involved in the Island Rule indicates that wind stress in the western and central equatorial Pacific is the key factor regulating the interannual variability of the Luzon Strait transport, whereas the effect of local wind stress in the vicinity of the Luzon Strait is secondary. Analysis also shows that when the westerly ( easterly) wind anomalies in the tropical Pacific break out, the Luzon Strait transport increases ( decreases), associated with the variations in the North Equatorial Current during El Nino ( La Nina) events.
学科主题	Geosciences, Multidisciplinary
收录类别	SCI
原文出处	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000239577300004
公开日期	2011-07-03
内容类型	期刊论文
源URL	[http://ir.scsio.ac.cn/handle/344004/5785]
专题	南海海洋研究所_热带海洋环境国家重点实验室(LTO)
推荐引用方式 GB/T 7714	Wang, DX,Liu, QY,Huang, RX,et al. Interannual variability of the South China Sea throughflow inferred from wind data and an ocean data assimilation produc[J]. GEOPHYSICAL RESEARCH LETTERS,2006,33(14):-.
APA	Wang, DX,Liu, QY,Huang, RX,Du, Y,&Qu, TD.(2006).Interannual variability of the South China Sea throughflow inferred from wind data and an ocean data assimilation produc.GEOPHYSICAL RESEARCH LETTERS,33(14),-.
MLA	Wang, DX,et al."Interannual variability of the South China Sea throughflow inferred from wind data and an ocean data assimilation produc".GEOPHYSICAL RESEARCH LETTERS 33.14(2006):-.