Meteorology and Atmospheric Physics

, Volume 50, Issue 4, pp 231–236 | Cite as

An application of chaotic theory in long range forecasts

  • Zhen-Shan Lin
  • Shi-Da Liu


In this paper we combine chaotic theory with statistics to present three forecast models: a model of equal distance ind-dimensional phase space, a mode regression model of twelve units and a model of neighborhood model regression. Many experiments show that all these models can generate accurate forcasts.


Climate Change Waste Water Model Regression Regression Model Water Management 
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  2. Grassberger, P., Procaccia, I., 1983: Characterization of strange attractors.Phys. Rev. Letters,50, 346–349.Google Scholar
  3. Lin, Z. S., 1991: The phase space models for the longterm forecasting. Ph.D. Dissertation, Peking University.Google Scholar

Copyright information

© Springer-Verlag 1992

Authors and Affiliations

  • Zhen-Shan Lin
    • 1
  • Shi-Da Liu
    • 2
  1. 1.Department of Atmospheric ScienceNanjing UniversityNanjingPeoples Republic of China
  2. 2.Department of GeophysicsPeking UniversityBeijingPeoples Republic of China

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