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1985-2005年东海海表温度时空变化特征分析
引用本文:伍玉梅,徐兆礼,樊伟,崔雪森.1985-2005年东海海表温度时空变化特征分析[J].海洋学报,2011,33(6):9-18.
作者姓名:伍玉梅  徐兆礼  樊伟  崔雪森
作者单位:中国水产科学研究院 东海水产研究所 渔业资源遥感信息技术重点开放实验室,上海 200090
基金项目:国家自然科学基金重大研究计划(90511005);我国近海海洋综合调查与评价专项(908-02-01-03);863计划项目(2007AA092202);中央级公益性科研院所基本科研业务费专项资金(中国水产科学研究院东海水产研究所)资助项目(2007T09);中国科学院海洋环流与波动重点实验室开放基金课题(KLOCAW1010)。
摘    要:利用1985-2005年间AVHRR辐射计获取的东海海表温度资料,研究其时空变化特征.1985-2005年间东海海表平均温度总体呈上升趋势.对东海海温距平(SSTA)进行经验正交函数(EOF)分解,得到其2个主要变化模态,EOF1占总方差变化的34.8%,主要变化周期为3~5 a,表示1985-2005年中东海绝大部分...

关 键 词:东海  SOI  海表温度  EOF  谱分析
收稿时间:2009/11/13 0:00:00
修稿时间:7/5/2011 12:00:00 AM

Change of sea surface temperature in East China Sea during 1985-2005
WU Yu-mei,XU Zhao-li,FAN Wei and CUI Xue-sen.Change of sea surface temperature in East China Sea during 1985-2005[J].Acta Oceanologica Sinica (in Chinese),2011,33(6):9-18.
Authors:WU Yu-mei  XU Zhao-li  FAN Wei and CUI Xue-sen
Institution:Key Laboratory of Fishery Resources Remote Sensing and Information Technology, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Abstract:The sea surface temperature (SST) data from AVHRR during 1985-2005 were applied to analyze the variability in East China Sea (ECS) and the warming trend is found in general. The Empirical Orthogonal Function (EOF) and Spectrum analysis were used to analyze the variability of SST anormality (SSTA). The first model (EOF1) explains 34.8% of the total variation and its main period is 3~5 a. It shows that there is a warming trend in most area and the largest variation appear in the inshore area.The period of EOF2 (10.7%) is 2 a and it denotes the change of SSTA in south-east area is opposite to that of north-west.The variation range of SSTA in Taiwan Strait and the south in ECS are similar, while that of the north is much stronger.They all contain the period of 5~7 a, same as that of ENSO.The SSTA in 3 area are affected strongly by ENSO and the 2a delay is obvious.There are 8~9 and 16~18 month delay between the south of ECS and ENSO. It mainly due to the anomalous Kuroshio transport. The SSTA of the north shows a close correlation with the variation of air temperature there and the correlation up to 0.92.
Keywords:East China Sea  SOI  SST  EOF  spectrum analysis
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