Dynamical Complexity Transitions During High‐Intensity Long Duration Continuous Auroral Activities (HILDCAA) Events: Feature Analysis Based on Neural Network Entropy

Dynamical Complexity Transitions During High‐Intensity Long Duration Continuous Auroral Activities (HILDCAA) Events: Feature Analysis Based on Neural Network Entropy

Abstract In this study, we examine the dynamical complexity transitions during HILDCAA events. HILDCAA preceded by an Interplanetary Coronal Mass Ejection (ICME) storm recovery phase, HILDCAA preceded by a Corotating Interaction Region (CIR) storm recovery phase, and non‐storm driven HILDCAA and geo...

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Bibliographic Details
Main Authors: I. A. Oludehinwa, A. Velichko, B. O. Ogunsua, O. I. Olusola, O. O. Odeyemi
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Space Weather
Subjects:
HILDCAA
Auroral electrojet
solar wind‐magnetosphere‐ionosphere system
dynamical complexity
Neural Network Entropy (NNetEn)
chaotic behavior
Online Access:https://doi.org/10.1029/2023SW003475
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