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| Titel |
Dynamical complexity in Dst time series using entropy concepts and rescaled range analysis |
| VerfasserIn |
Georgios Balasis, Ioannis A. Daglis, Anastasios Anastasiadis, Konstantinos Eftaxias |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250033877
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| Zusammenfassung |
| Using an array of diagnostic tools including entropy concepts and rescaled range analysis (R/S), we establish that the Dst time series exhibits long-range correlations, and that the underlying stochastic process can be modeled as fractional Brownian motion (fBm). We show the emergence of two distinct patterns in the Earth's magnetosphere: (1) a pattern associated with the intense magnetic storms, which is characterized by a higher degree of organization (i.e., lower complexity or higher predictability for the system) and persistent behavior, and (2) a pattern associated with normal periods, which is characterized by a lower degree of organization (i.e., higher complexity or lower predictability for the system) and anti-persistent behavior. |
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