Prediction of magnetic storm events using the <i>D<sub>st</sub></i> index
This paper provides a method to predict magnetic storm events based on the time series of the <i>D<sub>st</sub></i> index over the period 1981-2002. This method is based on the multiple scaling of the measure representation of the <i>D<sub>st</sub></i>...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2005-01-01
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Series: | Nonlinear Processes in Geophysics |
Online Access: | http://www.nonlin-processes-geophys.net/12/799/2005/npg-12-799-2005.pdf |
Summary: | This paper provides a method to predict magnetic storm events based on the time series of the <i>D<sub>st</sub></i> index over the period 1981-2002. This method is based on the multiple scaling of the measure representation of the <i>D<sub>st</sub></i> 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. |
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ISSN: | 1023-5809 1607-7946 |