Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2019, Vol. 35 ›› Issue (12): 95-99.doi: 10.11924/j.issn.1000-6850.casb18090051

Special Issue: 农业气象

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Daily Mean Temperature Time Series in Zhongshan: Periodicity and Chaos Analysis

  

  • Received:2018-09-11 Revised:2018-11-30 Accepted:2018-12-04 Online:2019-04-26 Published:2019-04-26

Abstract: The paper aims to study the temporal evolution of temperature. The author analyzed the periodicity and chaos properties of daily mean temperature time series in Zhongshan, Guangdong during 1955-2017 by using nonlinear dynamic method. The results showed that: the power spectrum of temperature was a periodic variation of about 363 days, which was a periodic attractor caused by the direct solar point moving from north to south; after filtering out the information of annual periodic variation in the frequency range of 0 to 0.005/d, the power spectrum was continuous; the maximum Lyapunov exponent was positive with the correlation dimension 10.1, indicating the variation of high frequency temperature was chaotic.