CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2006, Vol. 23 ›› Issue (3): 335-342.

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Feasibility of Goestatistical Method on Time Series Forecast

CHANG Wen-yuan1,2, DAI Xin-gang1,2, FENG Guo-lin3   

  1. 1. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;
    2. College of Atmospheric Science, Lanzhou University, Lanzhou 730000, China;
    3. Department of Physics, Mathematic and Physics College, Yangzhou University, Yangzhou 225009, China
  • Received:2004-11-09 Revised:2005-07-22 Online:2006-05-25 Published:2006-05-25

Abstract: To study the feasibility of goestatistical method on time series forecast, we use a section of Lorenz system for extrapolation and try to give a theoretic explanation. Numerical investigation points out that though Ordinary Kriging's(OK) solution resembles that of AR model. OK is better for forecast whether the series is stable or not. Universal Kriging's (UK) results present a drift which deviates from the real value obviously. Three experimental schemes were designed. In a comparison calculation of the ideal datum and meteorological datum, it indicates that the schemes is possible to improve the extrapolation accuracy. It lies on the characteristics of the series and needs further study.

Key words: Kriging, AR model, Lorenz system, time series

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