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Magnetospheric chaos and dynamical complexity response during storm time disturbance
Nonlinear Processes in Geophysics ( IF 1.7 ) Pub Date : 2020-12-23 , DOI: 10.5194/npg-2020-47
Irewola Aaron Oludehinwa , Olasunkanmi Isaac Olusola , Olawale Segun Bolaji , Olumide Olayinka Odeyemi , Abdullahi Ndzi Njah

Abstract. In this study, we examine the magnetospheric chaos and dynamical complexity response in the disturbance storm time (Dst) and solar wind electric field (VBs) during different categories of geomagnetic storm (minor, moderate and major geomagnetic storm). The time series data of the Dst and VBs are analyzed for the period of nine years using nonlinear dynamics tools (Maximal Lyapunov Exponent, MLE, Approximate Entropy, ApEn and Delay Vector Variance, DVV). We found a significant trend between each nonlinear parameter and the categories of geomagnetic storm. The MLE and ApEn values of the Dst indicate that chaotic and dynamical complexity response are high during minor geomagnetic storms, reduce at moderate geomagnetic storms and declined further during major geomagnetic storms. However, the MLE and ApEn values obtained in VBs indicate that chaotic and dynamical complexity response are high with no significant difference between the periods that are associate with minor, moderate and major geomagnetic storms. The test for nonlinearity in the Dst time series during major geomagnetic storm reveals the strongest nonlinearity features. Based on these findings, the dynamical features obtained in the VBs as input and Dst as output of the magnetospheric system suggest that the magnetospheric dynamics is nonlinear and the solar wind dynamics is consistently stochastic in nature.

中文翻译:

风暴时间扰动期间的磁层混沌和动力复杂性响应

摘要。在这项研究中,我们研究了在不同类别的地磁暴(次,中,大地磁暴)期间扰动风暴时间(D st)和太阳风电场(VB s)中的磁层混沌和动力复杂性响应。对的时间序列数据d STVB小号的分析使用非线性动力学工具(最大Lyapunov指数,MLE,近似熵,近似熵和延迟向量方差,DVV)九年期。我们发现每个非线性参数与地磁风暴类别之间存在显着趋势。D st的MLE和ApEn值指出,在较小的地磁暴期间,混沌和动力复杂性响应较高,在中等地磁暴时减小,而在主要地磁暴期间则进一步下降。然而,MLE和近似熵值中获得VB小号表明,混乱和动态响应的复杂性高与联想有轻微的期之间无显著差异,中度和重大地磁暴。该测试在非线性d ST大磁暴期间的时间序列揭示了最强的非线性特征。基于这些发现,在所获得的动力学特征VB š作为输入和d ST 作为磁层系统的输出,表明磁层动力学是非线性的,而太阳风动力学在本质上始终是随机的。
更新日期:2020-12-23
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