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| Titel |
Extreme events and long-range correlations in space weather |
| VerfasserIn |
A. S. Sharma, T. Veeramani |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 18, no. 5 ; Nr. 18, no. 5 (2011-10-20), S.719-725 |
| Datensatznummer |
250013978
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| Publikation (Nr.) |
 copernicus.org/npg-18-719-2011.pdf |
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| Zusammenfassung |
| Space weather is driven by the
solar wind and many geospace storms and substorms are natural hazards with
considerable societal impact. The dynamical and statistical features of these
events are complicated because of the turbulent nature of their driver, the solar
wind. Large-scale data sets of geospace storms and substorms are analysed for
this study of the inherent statistical characteristics of extreme events in
geospace. The detrended fluctuation analysis, based on the autocorrelation
functions, is used and yields scaling behavior representing long-term
correlations. The scaling function is represented by two exponents, arising
due mainly to the presence of the largely coherent internal dynamics of the
magnetosphere and the turbulent nature of the solar wind driver. |
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