Title

Prediction Of Magnetic Storm Events Using The DSt Index

Abstract

This paper provides a method to predict magnetic storm events based on the time series of the Dst index over the period 1981-2002. This method is based on the multiple scaling of the measure representation of the Dst time series. This measure is modeled as a recurrent iterated function system, which leads to a method to predict storm patterns included in its attractor. Numerical results are provided to evaluate the performance of the method in outside-sample forecasts. © 2005 Author(s). This work is licensed under a Creative Commons License.

Publication Date

1-1-2005

Publication Title

Nonlinear Processes in Geophysics

Volume

12

Issue

6

Number of Pages

799-806

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.5194/npg-12-799-2005

Socpus ID

30744479435 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/30744479435

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