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Titel Nonlinear analysis of magnetospheric data Part II. Dynamical characteristics of the AE index time series and comparison with nonlinear surrogate data
VerfasserIn G. P. Pavlos, D. Kugiumtzis, M. A. Athanasiu, N. Hatzigeorgiu, D. Diamantidis, E. T. Sarris
Medientyp Artikel
Sprache Englisch
ISSN 1023-5809
Digitales Dokument URL
Erschienen In: Nonlinear Processes in Geophysics ; 6, no. 2 ; Nr. 6, no. 2, S.79-98
Datensatznummer 250003393
Publikation (Nr.) Volltext-Dokument vorhandencopernicus.org/npg-6-79-1999.pdf
 
Zusammenfassung
In this study we have used dynamical characteristies such as Lyapunov exponents, nonlinear dynamic models and mutual information for the nonlinear analysis of the magnetospheric AE index time series. Similarly with the geometrical characteristic studied in Pavlos et al. (1999b), we have found significant differences between the original time series and its surrogate data. These results also suggest the rejection of the null hypothesis that the AE index belongs to the family of stochastic linear signals undergoing a static nonlinear distortion. Finally, we believe that these results support the hypothesis of nonlinearity and chaos for the magnetospheric dynamics.
 
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