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首页> 外文期刊>Meteorology and Atmospheric Physics >Characteristics of the synoptic time scale variability over the South China Sea based on Tropical Rainfall Measuring Mission
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Characteristics of the synoptic time scale variability over the South China Sea based on Tropical Rainfall Measuring Mission

机译：基于热带雨量观测任务的南海天气总时标变化特征

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摘要

Characteristics of the synoptic time scale variability over the South China Sea (SCS) are explored based on the Tropical Rainfall Measuring Mission (TRMM) and auxiliary atmospheric data. Unlike the intraseasonal oscillations, which are significant only during the summer monsoon season (May–September), the synoptic timescale disturbances are active not only during the periods of the South China Sea Summer Monsoon (SCSSM), but also after summer monsoon retreat (October–December). The maximum synoptic time scale signals occur in September. The synoptic time scale variabilities over the SCS are strong modulated by the ENSO events, especially after the retreat of the SCSSM. The synoptic timescale signals in October–December are much stronger during the La Nina years than those in the El Nino years. Moreover, the synoptic time scale variabilities over the SCS are also related the activities of the SCSSM. The synoptic time scale signals in the monsoon onset periods and the early summer are much stronger during the strong SCSSM years than during the weak SCSSM years.
机译：基于热带雨量测量任务（TRMM）和辅助大气数据，探索了南中国海天气总尺度时变的特征。与季节内振荡不同的是，季节内振荡仅在夏季风季节（5月至9月）才显着，天气时间尺度扰动不仅在南海夏季风（SCSSM）期间活跃，而且在夏季风退缩之后（10月）活跃。 -十二月）。天气的最大时标信号出现在9月。 ENSO事件对SCS上的天气时标变化有很强的调节作用，特别是在SCSSM退缩之后。拉尼娜年10月至12月的天气尺度信号要强于厄尔尼诺年。此外，SCS上天气的时标变化也与SCSSM的活动有关。在强SCSSM年份，季风爆发期和初夏的天气总时标信号要强于弱SCSSM年份。

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  • 来源
    《Meteorology and Atmospheric Physics》 |2012年第4期|p.163-171|共9页
  • 作者

    Weibiao Li; Zijie Liu; Cong Luo;

  • 作者单位

    Department of Atmospheric Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou, 510275, China;

    Department of Atmospheric Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou, 510275, China;

    Department of Atmospheric Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou, 510275, China;

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