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Analysis of similarity of several proxy series based on nonlinear analysis method

Feng Guo-Lin Gong Zhi-Qiang

Analysis of similarity of several proxy series based on nonlinear analysis method

Feng Guo-Lin, Gong Zhi-Qiang
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  • Abstract views:  3487
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  • Received Date:  01 October 2006
  • Accepted Date:  22 February 2007
  • Published Online:  20 June 2007

Analysis of similarity of several proxy series based on nonlinear analysis method

  • 1. (1)国家气候中心,中国气象局气候研究开放实验室,北京 100081;中国科学院大气物理研究所东亚区域气候-环境重点实验室,北京 100029; (2)兰州大学大气科学学院,兰州 730000;国家气候中心,中国气象局气候研究开放实验室,北京 100081

Abstract: Reconstruction and analysis of proxy series is an important program of climate research. Using methods of wavelet transformation and power spectrum, the main periods of Dulan tree ring and other 7 temperature proxy series are analyzed in this paper. Through filtering, the 8 original series were divided into many different scale components, the similarities in dynamics and external features of components on each scale are studied based on the dynamical correlation factor exponent and correlation coefficient. Research results show that quasi 100a scale might be the common period of these proxy series, meanwhile, both dynamics and external features of these proxy series are similar on the quasi 100a and even higher scales. This means that the quasi 100a and even higher scale components meet with comparable conditions in these aspects. More attention must be paid to this scale when analyzing proxy series. We also found that the similarities in dynamics and external features of these proxy series are reduced as the scale of the components decreaces; On quasi 60—70a scale, the component similarities in dynamics features disappear. On quasi 30a and even lower scale the similarities of external features also disappear.

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