| 2000-2008年期间南海海面温度的年际与空间变异 |
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| 引用本文： | 丘福文,方文东,郭朴.2000-2008年期间南海海面温度的年际与空间变异[J].海洋学报,2011,33(3):11-18. |
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| 作者姓名： | 丘福文 方文东 郭朴 |
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| 作者单位： | 1.中国科学院 南海海洋研究所 热带海洋环境动力学重点实验室,广东 广州 510301;中国科学院 研究生院,北京 100049 |
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| 基金项目： | 中国科学院知识创新工程项目(KZCX2-YW-214);国家重点基础研究发展计划(2006CB403603);国家自然科学基金项目(40876008)。 |
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| 摘 要： | 通过对2000-2008年更高空间分辨率的南海海面温度(SST)的卫星遥感数据进行经验正交函数(EOF)分析,着重研究21世纪以来整个南海海域SST年际变化的时空变异,并探讨了其与南海海面风场和海面高度的关系,以及期间南海发生的两次负异常事件的特点和成因.SST年际变化的第一模态表现为全海盆同相变化,年际振荡主要发生在...
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| 关 键 词： | 南海 海面温度 年际变异 EOF分析 |
| 收稿时间： | 2010/1/21 0:00:00 |
Interannual and spatial variability of the sea surface temperature in the South China Sea during 2000-2008 |
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| QIU Fu-wen,FANG Wen-dong and GUO Pu.Interannual and spatial variability of the sea surface temperature in the South China Sea during 2000-2008[J].Acta Oceanologica Sinica (in Chinese),2011,33(3):11-18. |
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| Authors: | QIU Fu-wen FANG Wen-dong and GUO Pu |
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| Institution: | 1.LED, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;Graduate School, Chinese Academy of Sciences, Beijing 100049, China2.LED, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China |
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| Abstract: | Using 9 years (2000-2008) of the high resolution satellite data, the studiy shows the interannual variability of sea surface temperature in the South China Sea, and its relations with the sea surface wind and sea surface height and the characteristics of two cold anomaly events during the study period are discussed. The first EOF mode of the interannual variability of the SST represented the basin scale in-phase change and the interannual oscillation mainly occurred in the deep basin with the oscillation center in the area west of the Luzon Strait and southeast of the Indochina. The results also show that the interannual variability of the SST in the South China Sea is closely associated with the meridional sea level wind: the first mode of SST is obviously correlated with the first mode of sea level wind at 3 month lag, with a correlation coefficient of 0.74; while the second EOF mode of the SST and meridional sea lavel wind is also highly correlated with each other with a correlation coefficient of 0.71. In addition, the second SST EOF mode is clearly correlated with the sea surface height anomaly and also the Nio3.4 index and Southern Oscillation index, showing large scale characteristics. |
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| Keywords: | sea surface temperature interannual variability EOF analysis South China Sea |
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