| 南海海面高度变化及其与太平洋上涛动信号的关系 |
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| 作者姓名： | PEI Yuhu ZHANG Rong-Hu ZHANG Xiangming JIANG Lianghong WEI Yanzhou |
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| 作者单位： | College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China;State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China,Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China,State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China,State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China,Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China |
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| 基金项目： | The National Natural Science Foundation of China under contract Nos 91128204, 41321004, 41475101 and 41421005; the National Basic Research Program (973 Program) of China under contract No. 2013CB430302; the Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers under contract No. U1406401; the Strategic Priority Project of Chinese Academy of Sciences under contract Nos XDA11010301 and XDA11010104. |
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| 摘 要： | 本文使用循环平稳经验正交函数(CSEOF)方法分析了南海海面高度(SCS-SSH)的时空变化模态,并对它们与太平洋海盆尺度振荡的关系进行了探讨分析。结果表明,SCS-SSH的第一个CSEOF模态是季节变化模态,其变化强度受到一个与厄尔尼诺-南方涛动(ENSO)有关的低频信号的调制,即在厄尔尼诺期间季节变化的幅度减弱(最大可降低30%,1997/98)而在拉尼娜期间季节变化增强。SCS-SSH的第二个CSEOF模态是年际-年代际尺度的低频变化模态,其空间模态的月与月之间的差异微弱,而时间模态和太平洋年代际振荡(PDO)指数高度相关。然后,我们使用独立成分分析(ICA)方法提取了太平洋中的五个主要振荡成分,并检验了它们对SCS-SSH变化的各自影响。分析表明,纯粹的ENSO模态(类似于太平洋东部型ENSO)对SCS-SSH的低频变化的影响比较微弱,而ENSO的红化模态(类似于太平洋中部型ENSO)对SCS-SSH的低频变化具有明显影响。由于ENSO的红化模态是PDO信号的一个主要成分,这一结果解释了为什么在影响SCS-SSH的低频变化上PDO比ENSO更重要。径向鞍型振荡模态、黑潮延伸体处的增温模态、以及赤道的降温模态也由ICA方法提取出来,但它们对SCS-SSH低频变异的影响微弱。进一步的分析表明,太平洋的涛动信号可能以不同的方式来影响南海海面高度变化和海表温度变化。
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| 关 键 词： | 南海 海面高度 厄尔尼诺南方涛动 太平洋年代际振荡 |
| 收稿时间： | 3/6/2015 12:00:00 AM |
| 修稿时间： | 5/7/2015 12:00:00 AM |
Variability of sea surface height in the South China Sea and its relationship to Pacific oscillations |
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| PEI Yuhu,ZHANG Rong-Hu,ZHANG Xiangming,JIANG Lianghong,WEI Yanzhou.Variability of sea surface height in the South China Sea and its relationship to Pacific oscillations[J].Acta Oceanologica Sinica,2015,34(12):80-92. |
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| Authors: | PEI Yuhu ZHANG Rong-Hu ZHANG Xiangming JIANG Lianghong and WEI Yanzhou |
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| Institution: | College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China;State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China,Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China,State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China,State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China and Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China |
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| Abstract: | The spatio-temporal variability modes of the sea surface height in the South China Sea (SCS-SSH) are obtained using the Cyclostationary Empirical Orthogonal Function (CSEOF) method, and their relationships to the Pacific basin scale oscillations are examined. The first CSEOF mode of the SCS-SSH is a strongly phase-locked annual cycle that is modulated by a slowly varying principal component (PC); the strength of this annual cycle becomes reduced during El Niño events (at largest by 30% off in 1997/98) and enhanced during La Niña events. The second mode is a low frequency oscillation nearly on decadal time scale, with its spatial structure exhibiting an obscure month-dependence; the corresponding PC is highly correlated with the Pacific Decadal Oscillation (PDO) index. Five independent oscillations in the Pacific are isolated by using the independent component (IC) analysis (ICA) method, and their effects on the SCS-SSH are examined. It is revealed that the pure ENSO mode (which resembles the east Pacific ENSO) has little effect on the low frequency variability of the SCS-SSH while the ENSO reddening mode (which resembles the central Pacific ENSO) has clear effect. As the ENSO reddening mode is an important constituent of the PDO, this explains why the PDO is more important than ENSO in modulating the low frequency variability of SCS-SSH. Meridional saddle like oscillation mode, the Kuroshio extension warming mode, and the equatorial cooling mode are also successfully detected by the ICA, but they have little effect on the low frequency variability of the SCS-SSH. Further analyses suggest the Pacific oscillations are probably influencing the variability of the SCS-SSH in ways that are different from that of the sea surface temperature (SST) in the SCS. |
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| Keywords: | South China Sea sea surface height ENSO PDO |
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