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A technique for distinguishing dynamical species in the temperature time series of Yangtze River delta

Feng Guo-Lin Hou Wei Dong Wen-Jie

A technique for distinguishing dynamical species in the temperature time series of Yangtze River delta

Feng Guo-Lin, Hou Wei, Dong Wen-Jie
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Publishing process
  • Received Date:  24 March 2005
  • Accepted Date:  24 May 2005
  • Published Online:  05 January 2006

A technique for distinguishing dynamical species in the temperature time series of Yangtze River delta

  • 1. (1)扬州大学物理科学与技术学院,扬州 225009;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)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;国家气候中心气候研究开放实验室,北京 100081

Abstract: The conditional entropy of two symbolic sequences which are encoded faithfully from two different time series is minimized at the zero relative shift of the two time series if the two time series have their origins in the same underlying dynamics. This technique is also useful in studying the delayed coupling between different time series. Applications are made to the temperature data derived from five meteorological stations in China, namely Shanghai, Nantong, Changzhou, Nanjing and Hangzhou in order to test the commonality of their underlying dynamics, obtain the relative strength of the dynamics coupling between different variables, and extract the implicit delayed information in the dynamics.

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