The Regional Features of Temper ature Variation Trends over China by Empirical Mode Decomposition Method

  • 1. Shaanxi Provincial Climate Center, Xi'an 710015, China;
    2. The College of Geographical Sciences, Nanjing Normal University, Nanjing 210097, China

Received date: 2007-01-10

  Revised date: 2007-09-20

  Online published: 2007-11-25

Supported by

National Natural Science Foundation of China, No.40371044


In this paper, a new and advanced time series analysis method--the empirical mode decomposition (EMD) method is presented into climate analysis field. It is a method developed from analyzing nonlinear and non-stationary data. The oscillations of different scales or trend in the signal are decomposed into a number of characteristic intrinsic mode function components. This decomposition method is adaptive, and, therefore, highly efficient. Thus, we could extract the variation trend from the data. The testing results indicate that EMD method is the best one for extracting data trend at the present time. The climatic trend is very important in temperature change. Therefore, how to eliminate periodic oscillation in temperature change and obtain variation trend is the important process for estimating and comprehending global climate warming. In this study, temperature variation trends of monthly mean temperature data for 740 stations over China from 1951 to 2001 are diagnosed by EMD method, and there are three types of variation trends: ascending trend, descending trend, and fluctuation. Hereby, several temperature change regions have been divided in China and fields have been spatially classified. Simultaneously, the temperature variability of every station is calculated by this method, and classification chart of long term trend and temperature variability distribution chart of China are obtained, supported by GIS, 1km×1km resolution. The results show a large scale warming trend in China, especially Northeast China, Inner Mongolia, Gansu, the west of Qinghai and Tibet, and the north of Xinjiang witnessing marked warming, as opposing to the descending trend patches distributed over Southwest China and the middle and lower Changjiang valley.

Cite this article

SUN Xian, LIN Zhenshan . The Regional Features of Temper ature Variation Trends over China by Empirical Mode Decomposition Method[J]. Acta Geographica Sinica, 2007 , 62(11) : 1132 -1141 . DOI: 10.11821/xb200711002


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