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学科主题: Geochemistry & Geophysics
题名: Interannual variability of the heat storage anomaly in the South China Sea estimated from merged altimetric data
作者: Tong, JQ ; Wang, J ; Qi, YQ
通讯作者: jqtong@scsio.ac.cn ; qiyiquan@scsio.ac.cn
关键词: altimetric data ; heat storage anomaly ; harmonic analysis ; onset of the South China Sea summer monsoon
刊名: CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
发表日期: 2006
卷: 49, 期:6, 页:1651-1656
收录类别: sci
部门归属: Chinese Acad Sci, S China Sea Inst Oceanol, Key Lab Trop Marine Environm Dynam, Guangzhou 510301, Peoples R China; Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China; Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China
项目归属: LED
摘要: Based on the linear relationship between the sea level variability and heat storage anomaly, the heat storage anomaly in the South China Sea (SCS) is estimated by using merged altimetric data from 1992 to 2004. The result is generally consistent with that from the World Ocean Atlas 2001 (WOA01). The result also shows that the heat storage anomaly in the SCS has an obvious long-term variability which is a stable interannual variability from 1992 to 1998, an abrupt change to a high stage in 1998 continuing till 2001, and a tendency to reduce after 2002. With the harmonic analysis method, we can find that the heat storage anomaly in the SCS has about 0.5, 1.5, 2.4, 4 and 6 years period oscillations besides annual change. Furthermore, the heat storage anomaly of December in the SCS can be used as a predictor for the onset of the SCS summer monsoon.
原文出处: 查看原文
WOS记录号: WOS:000242388600011
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/5769
Appears in Collections:热带海洋环境动力实验室(LTO)_期刊论文

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Recommended Citation:
Tong, JQ; Wang, J; Qi, YQ.Interannual variability of the heat storage anomaly in the South China Sea estimated from merged altimetric data,CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2006,49(6):1651-1656
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文件名: Interannual variability of the South China Sea throughflow inferred from wind data and an ocean data assimilation product.pdf
格式: Adobe PDF
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