Title

Chaos Game Representation Of The DSt Index And Prediction Of Geomagnetic Storm Events

Abstract

This paper proposes a two-dimensional chaos game representation (CGR) for the Dst index. The CGR provides an effective method to characterize the multifractality of the Dst time series. The probability measure of this representation is then modeled as a recurrent iterated function system in fractal theory, which leads to an algorithm for prediction of a storm event. We present an analysis and modeling of the Dst time series over the period 1963-2003. The numerical results obtained indicate that the method is useful in predicting storm events one day ahead. © 2006 Elsevier Ltd. All rights reserved.

Publication Date

2-1-2007

Publication Title

Chaos, Solitons and Fractals

Volume

31

Issue

3

Number of Pages

736-746

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.chaos.2005.12.046

Socpus ID

33747594275 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33747594275

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