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引用本文:王文杰,刘宇迪,朱金双,沈 俊.南海中尺度涡强度的季节和年际变化分析[J].海洋科学,2016,40(12):94-106.
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南海中尺度涡强度的季节和年际变化分析
王文杰1,2, 刘宇迪1, 朱金双1, 沈 俊3
1.解放军理工大学 气象海洋学院;2.93968 部队气象台;3.94926部队气象台
摘要:
为了研究南海中尺度涡强度的季节和年际变化规律, 利用Matlab 提取50 a(1958~2007年)简单海洋资料同化(Simple Ocean Data Assimilation, SODA)月平均数据集中流场和海表面高度场数据, 应用一个涡旋自动探测算法对南海中尺度涡初始生成位置进行分析, 并分析了海表面高度异常均方根值的季节变化和年际变化。结果表明: 50 a里南海中尺度涡主要分布在吕宋岛西北海域、吕宋岛西南海域和越南以东广大海域, 秋、冬季中尺度涡能量较高, 春季中尺度涡最弱, 中尺度涡强度高值区年际变化明显。从季节变化上看, 海面高度异常均方根春、夏季最小, 秋冬季最大; 从年际变化上看, 与同时期Nino3 指数有显著负相关, 周期大约为3 a。
关键词:  简单海洋资料同化(Simple Ocean Data Assimilation, SODA)  南海  中尺度涡  季节和年际变化
DOI:10.11759/hykx20130122005
分类号:
基金项目:国家自然科学基金项目(41175089)
Seasonal and interannual variability of mesoscale eddy intensity in the South China Sea
WANG Wen-Jie,LIU Yu-di,ZHU Jin-shuang,SHEN Jun
Abstract:
To research seasonal and interannual variations of the mesoscale eddy intensity in the South China Sea, an auto eddy detection algorithm is used to analyze initial position of mesoscale eddies in the South China Sea (SCS) by using velocity and surface height field data extracted by Matlab software from the 50 years of simple ocean data assimilation (SODA) monthly datasets (1958–2007). In addition, seasonal and interannual variability of the root-mean-square (RMS) of sea surface height (SSH) anomalies are analyzed. Results show that mesoscale eddies in the SCS are mainly distributed off the southwest of Taiwan close to the Luzon Strait, southwest of the Luzon Island, and east of Vietnam in the deep basin of the SCS. The mesoscale eddy energy shows significant seasonal changes; maximum between autumn and winter and minimum in spring. In addition, the high value area of mesoscale eddy intensity also has significant interannual variability. Conclusions from viewing seasonal change show that the root mean square of the sea surface height anomaly is at a minimum (maximum) in spring and summer (autumn and winter) and that interannual variation has a significant negative correlation with the Nino3 index in the same period, which is about three years.
Key words:  simple ocean data assimilation (SODA)  the South China Sea  mesoscale eddy  seasonal and interannual variability
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