| 基于EEMD分解的欧洲温度序列的多尺度分析 |
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| 引用本文： | 王兵,李晓东.基于EEMD分解的欧洲温度序列的多尺度分析[J].北京大学学报(自然科学版),2011,47(4):627-635. |
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| 作者姓名： | 王兵 李晓东 |
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| 作者单位： | 北京大学物理学院大气与海洋科学系,北京,100871 |
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| 摘 要： | 利用EEMD方法对欧洲5个站大于150年逐日温度序列进行分解，分析了欧洲温度序列的低频变化、年循环及季节变化。结果表明：欧洲5站温度低频变化均存在明显的特征时间尺度，即年际、年代际和世纪尺度等；年循环强度在1910-1940年及1970年年末以后的两个暖期里均处于偏弱的状态，尤其是最近30年里年循环强度减弱趋势更加明显...
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| 关 键 词： | 气候变化 集合经验模态分解(EEMD) 本征模函数(IMF) |
Multi-Scale Fluctuation of European Temperature Revealed by EEMD Analysis |
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| WANG Bing,LI Xiaodong.Multi-Scale Fluctuation of European Temperature Revealed by EEMD Analysis[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2011,47(4):627-635. |
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| Authors: | WANG Bing LI Xiaodong |
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| Institution: | WANG Bing,LI Xiaodong Department of Atmospheric and Oceanic Sciences,School of Physics,Peking University,Beijing 100871 |
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| Abstract: | Ensemble empirical mode decomposition(EEMD),a newly developed nonlinear data analysis method,is employed to derive climate change signals,such as annual cycle,low-frequency components and trends,etc.The data sets for the analysis are the well-homegenized,longer than 150 years,daily temperature series of five stations in Europe.The decomposed results indicate that there are three main time scales,e.g.interannual,interdecadal and century scales,for the low-frequency variations of all five stations.The intensi... |
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| Keywords: | climate change ensemble empirical mode decomposition(EEMD) intrinsic mode function(IMF) |
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