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<p>The intrinsic nature of the magnetosphere is important in understanding the role of different drivers in its dynamics. In this study, an attempt was made to characterize and quantify the complexity in the magnetosphere during Solar Cycle 24 using the Dst index as a measure. Two approaches were considered: chaos and multifractal analysis. The chaotic analysis using the Lyapunov exponent, correlation dimension, and entropy measures revealed that the magnetosphere is chaotic for every year of Solar Cycle 24. Furthermore, there was no significant difference between the complexity in Solar Cycle 24 and the previous 4 solar cycles (20-23). Chaotic parameters (sample entropy, Lyapunov exponent, and correlation dimension) showed strong correlations with annual mean Dst values throughout Solar Cycle 24. Multifractal detrended fluctuation analysis parameters showed weak relationships with annual means but revealed underlying structures in Dst values.</p>

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Complexity in Dst index values over Solar Cycle 24

  • 期刊论文

  • 发表日期：

    2025年7月31日

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  • Babatunde Rabiu,
  • Ali Kılçık,
  • Ibiyinka Fuwape,
  • Samuel Ogunjo

摘要

The intrinsic nature of the magnetosphere is important in understanding the role of different drivers in its dynamics. In this study, an attempt was made to characterize and quantify the complexity in the magnetosphere during Solar Cycle 24 using the Dst index as a measure. Two approaches were considered: chaos and multifractal analysis. The chaotic analysis using the Lyapunov exponent, correlation dimension, and entropy measures revealed that the magnetosphere is chaotic for every year of Solar Cycle 24. Furthermore, there was no significant difference between the complexity in Solar Cycle 24 and the previous 4 solar cycles (20-23). Chaotic parameters (sample entropy, Lyapunov exponent, and correlation dimension) showed strong correlations with annual mean Dst values throughout Solar Cycle 24. Multifractal detrended fluctuation analysis parameters showed weak relationships with annual means but revealed underlying structures in Dst values.