Abstract. In this study, we examine the magnetospheric chaos and dynamical complexity
response to 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 analysed for a period of 9 years using non-linear
dynamics tools (maximal Lyapunov exponent, MLE; approximate entropy, ApEn;
and delay vector variance, DVV). We found a significant trend between each
non-linear parameter and the categories of geomagnetic storm. The MLE and
ApEn values of the Dst indicate that chaotic and dynamical complexity
responses are high during minor geomagnetic storms, reduce at moderate
geomagnetic storms and decline further during major geomagnetic storms.
However, the MLE and ApEn values obtained from VBs indicate that
chaotic and dynamical complexity responses are high with no significant
difference between the periods that are associated with minor, moderate and
major geomagnetic storms. The test for non-linearity in the Dst time
series during major geomagnetic storm reveals the strongest non-linearity
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 are non-linear, and the solar wind
dynamics are consistently stochastic in nature.
Traveling ionospheric disturbances (TIDs) are sudden wave-like propagation irregularities that perturbate the state of the ionospheric plasma. They are usually driven by the propagation of acoustic gravity waves (AGWs) manifested in both the lower and upper atmospheric conditions (
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