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The European Physical Journal Special Topics

, Volume 143, Issue 1, pp 201–208 | Cite as

High frequency (daily) data analysis of the Southern Oscillation Index. Tsallis nonextensive statistical mechanics approach

  • F. Petroni
  • M. Ausloos
Article

Abstract.

Daily data of the Southern Oscillation Index between 1999 and mid-2006 has been analyzed in order to obtain the shape and tails of the partial distribution functions (PDF) of the variability of the index. A model originally proposed to describe the intermittent behavior of turbulent flows describes the behavior of the normalized variability for such a climatological index, for small and large time windows, both for small and large variability. The model is linked to Tsallis nonextensive statistics. The transition between the small time scale model of nonextensive, intermittent process and the large scale Gaussian extensive homogeneous fluctuation picture is found to occur at above a ca. 46 days time lag. The intermittency exponent (κ) in the framework of the Kolmogorov log-normal model is found to be related to the scaling exponent of the PDF moments. The value of κ (= 0.25) is in agreement with the intermittency exponent recently obtained for other atmospheric data and for the monthly data, indicating so called scaling universality. We suggest improvements on forecasting along the lines of Tsallis non extensive statistics.

Keywords

European Physical Journal Special Topic Probability Distribution Function Southern Oscillation Index Tsallis Statistic Intermittent Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2007

Authors and Affiliations

  • F. Petroni
    • 1
  • M. Ausloos
    • 1
  1. 1.SUPRATECS, B5, Sart TilmanLiègeBelgium

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