Dynamical complexity in Dst time series using non-extensive Tsallis entropy

Details Dynamical complexity in Dst time series using non-extensive Tsallis entropy Dynamical complexity in Dst time series using non-extensive Tsallis entropy

Jul 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008georl..3514102b&link_type=abstract

Geophysical Research Letters, Volume 35, Issue 14, CiteID L14102

Physics

Geophysics

9

Space Weather: Magnetic Storms (2788), Nonlinear Geophysics: Complex Systems, Space Weather: Forecasting (2722), Mathematical Geophysics: Time Series Analysis (1872, 4277, 4475)

Scientific paper

Nonlinearly evolving dynamical systems, such as space plasmas, generate complex fluctuations in their output signals that reflect the underlying dynamics. The non-extensive Tsallis entropy has been proposed as a measure to investigate the complexity of system dynamics. We employ this method for analyzing D st time series. The results show that Tsallis entropy can effectively detect the dissimilarity of complexity between the pre-storm activity and intense magnetic storms (D st < -150 nT), which is convenient for space weather applications.

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