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Quasi-cycles in Chinese precipitation time series and in their potential influencing factors

机译:中国降水时间序列的准周期及其潜在影响因素

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摘要

Significant quasi-cycles in precipitation time series of 132 climate stations spread over China from 1951 to 2002 have been detected by applying Autocorrelation Spectral Analysis (ASA). By the same method, significant quasi-cycles have also been identified in time series of the potential influencing factors: Southern Oscillation Index (SOI), Sea Surface Temperature (SST) and Sea Level Pressure (SLP). Similarities between some precipitation time series spectra and the spectrum of a potential driving force have been detected; e.g. several series from the Yangtze River's middle reaches show 3-4-year cycles which are similar to the SOI and several SST signals. These time series have been further investigated by low-pass filtering with the Savitzky-Golay filter and by means of correlation analysis. It is proved that the SOI and the SSTs of the Bay of Bengal are in reiatively stable anti-phase. However, no stable link between these signals and the precipitation series in the Yangtze River basin can be detected. Subsequent analyses of 850 hPa winds lead to the outcome that certain wind patterns could either suppress or force the SST and SOI teleconnection signals.
机译:应用自相关光谱分析(ASA),发现了1951年至2002年在中国分布的132个气候站的降水时间序列中的重要准周期。通过相同的方法,还已经在潜在影响因素的时间序列中确定了重要的准周期:南方涛动指数(SOI),海面温度(SST)和海平面压力(SLP)。已检测到某些降水时间序列谱与潜在驱动力谱之间的相似性;例如长江中游的几个系列显示了3-4年的周期,这与SOI和几个SST信号相似。通过使用Savitzky-Golay滤波器进行低通滤波并通过相关分析,可以进一步研究这些时间序列。事实证明,孟加拉湾的SOI和SST处于相对稳定的反相状态。但是,这些信号与长江流域的降水序列之间没有稳定的联系。随后对850 hPa风的分析得出了这样的结果,即某些风型可能会抑制或强迫SST和SOI远程连接信号。

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  • 来源
    《Quaternary International》 |2009年第2009期|28-37|共10页
  • 作者单位

    Department of Geography, Justus Liebig University, Senckenbergstrasse 7, 35390 Ciessen, Germany;

    Department of Geography, Justus Liebig University, Senckenbergstrasse 7, 35390 Ciessen, Germany;

    Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China Centre on Climate Change, China Meteorological Administration, Beijing 100081, China;

    Department of Geography & Urban Planning, University of Wisconsin-Oshkosh, Oshkosh, WI 54901, USA;

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