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东、黄海海表面温度季节内变化特征的EOF分析
引用本文:曾广恩,练树民,程旭华,华祖林,齐义泉.东、黄海海表面温度季节内变化特征的EOF分析[J].海洋科学进展,2006,24(2):146-155.
作者姓名:曾广恩  练树民  程旭华  华祖林  齐义泉
作者单位:1. 河海大学,环境科学与工程学院,江苏,南京,210098;中国科学院,南海海洋研究所,LED重点实验室,广东,广州,510301
2. 中国科学院,南海海洋研究所,LED重点实验室,广东,广州,510301;中国海洋大学,山东,青岛,266003
3. 中国科学院,南海海洋研究所,LED重点实验室,广东,广州,510301
4. 河海大学,环境科学与工程学院,江苏,南京,210098
基金项目:国家重点基础研究发展计划项目——我国典型赤潮高发区赤潮生消的关键物理过程(2001CB409705)
摘    要:基于1998—2004年的TRMM/TMI卫星遥感海面温度(SST)数据,在初步分析东、黄海SST的季节分布特征的基础上,采用EOF方法分析了SST的季节内变化特征,进而对SST季节内变化的可能机制进行了探讨。EOF分析获得的前4个模态的累积方差贡献率为57.07%,其结果基本反映了东、黄海SST变化的主要物理过程。其中,EOF的第一模态的方差贡献率占30.17%,其空间模态揭示了以东海北部为中心的、整个海域SST变化趋于一致的特征,这一模态的显著变化周期为6.3周;第二模态的方差贡献率占14.36%,其空间模态呈现东南海域与西北海域SST的反相变化趋势,显著变化周期为8.7周和10.6周;第三模态的方差贡献率占7.02%,其空间SST变率最大的区域位于黄海海域,显著变化周期为6.8,8.7,10.2周等;第四模态的方差贡献率占5.52%,其空间SST变率最大的区域位于东、黄海近海,显著变化周期为6.8周。东、黄海SST季节内变化与此海区大气中的季节内振荡是紧密相关的。

关 键 词:东海  黄海  海表面温度  季节内变化  EOF分析
文章编号:1671-6647(2006)02-0146-10
收稿时间:2005-05-23
修稿时间:2005年5月23日

EOF Analysis of Intra-seasonal Variabilities of SST in the East China Sea and Yellow Sea
ZENG Guang-en,LIAN Shu-min,CHENG Xu-hua,HUA Zu-lin,QI Yi-quan.EOF Analysis of Intra-seasonal Variabilities of SST in the East China Sea and Yellow Sea[J].Advances in Marine Science,2006,24(2):146-155.
Authors:ZENG Guang-en  LIAN Shu-min  CHENG Xu-hua  HUA Zu-lin  QI Yi-quan
Institution:1. College of Envirconmental Science and Engineering, Hohai Univeristy , Nanjing 210098, China; 2. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301 ,China; 3 . Ocean University of China, Qingdao 266003, China
Abstract:Based on the TRMM/TMI satellite remote sensing data during 1998 to 2004,the intra-seasonal variabilities of sea surface temperature (SST) in the East China Sea(ECS) and Yellow Sea(YS) are analyzed by using empirical orthogonal function(EOF) method,and the possible mechanism for generating the intra-seasonal SST variabilities is also discussed.The cumulative contributions of the first 4 modes obtained by EOF analysis account for 57.07 % of total variance of SST,and the 4 modes basically reflect the main physical processes of SST variations in the ECS and YS.Among them,the first EOF mode makes a contribution accounting for 30.17 % of the total variance,its spatial mode indicates the characteristics of SST variation trending to uniformity with a variation center being located in the northern ECS,and its significant variation period is 6.3 weeks;the second EOF mode makes a contribution accounting for 14.36 % of total variance,its spatial mode shows a variation trend with the SST in the southeastern sea area out of phase with that in the northwestern sea area,and its significant variation periods are 8.7 weeks and 10.6 weeks;the third EOF mode makes a contribution accounting for 7.02 % of total variance,its maximum spatial SST variation area is located in the YS,and its significant variation periods are 6.8 weeks,8.7 weeks and 10.2 weeks;the fourth EOF mode makes a contribution accounting for 5.52 % of total variance,its maxium spatial SST variation area is located in the offshore ESC and YS,and its significant variation period is 6.8 weeks.The intra-seasonal variabilities of SST in the ECS and YS are closely related to the intra-seasonal oscillations in the atmosphere over the sea area.
Keywords:East China Sea  Yellow Sea  sea surface temperature(SST)  intra-seasonal variability  empirical orthogonal function(EOF) analysis
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