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Variability of sea surface height in the South China Sea and its relationship to Pacific oscillations

机译:南海海面高度的变化及其与太平洋涛动的关系

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摘要

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.
机译:利用循环平稳经验正交函数(CSEOF)方法获得了南海海表高度的时空变化模式(SCS-SSH),并研究了它们与太平洋海盆尺度振荡的关系。 SCS-SSH的第一个CSEOF模式是一个强锁相的年度周期,由一个缓慢变化的主成分(PC)进行调制;在厄尔尼诺事件期间,这一年度周期的强度降低了(1997/98年最多降低了30%),而在拉尼娜事件中则增强了。第二种模式是接近十年时间尺度的低频振荡,其空间结构表现出模糊的月份依赖性。相应的PC与太平洋年代际涛动(PDO)指数高度相关。通过使用独立分量(IC)分析(ICA)方法隔离了太平洋中的五个独立振荡,并研究了它们对SCS-SSH的影响。结果表明,纯ENSO模式(类似于东太平洋ENSO)对SCS-SSH的低频变化影响很小,而ENSO变红模式(类似于太平洋中部ENSO)具有明显的影响。由于ENSO变红模式是PDO的重要组成部分,因此可以解释为什么PDO在调制SCS-SSH的低频可变性方面比ENSO更重要。子午线鞍,如振荡模式,黑潮扩展加热模式和赤道冷却模式也可以通过ICA成功检测到,但它们对SCS-SSH的低频可变性影响很小。进一步的分析表明,太平洋振荡可能以与SCS中海表温度(SST)不同的方式影响SCS-SSH的变异性。

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  • 来源
    《海洋学报(英文版)》 |2015年第12期|80-92|共13页
  • 作者单位

    College of 0ceanic and Atmospheric Sciences, 0cean University of China, Qingdao 266100, China;

    Key Laboratory of 0cean Circulation and Waves, Institute of 0ceanology, Chinese Academy of Sciences, Qingdao 266071, China;

    State Key Laboratory of Satellite 0cean Environment Dynamics, Second Institute of 0ceanography, State 0ceanic Administration, Hangzhou 310012, China;

    State Key Laboratory of Satellite 0cean Environment Dynamics, Second Institute of 0ceanography, State 0ceanic Administration, Hangzhou 310012, China;

    Key Laboratory of 0cean Circulation and Waves, Institute of 0ceanology, Chinese Academy of Sciences, Qingdao 266071, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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