A correlation study regarding the AE index and ACE solar wind data for Alfvénic intervals using wavelet decomposition and reconstruction

Fernando Guarnieri 1 Bruce Tsurutani 2 Luis Vieira 1 Rajkumar Hajra 3 Ezequiel Echer 1 Anthony Mannucci 2 Walter Gonzalez 1
1 INPE - Instituto Nacional de Pesquisas Espaciais
2 JPL - Jet Propulsion Laboratory
3 LPC2E - Laboratoire de Physique et Chimie de l'Environnement et de l'Espace
Abstract : The purpose of this study is to present a wavelet interactive filtering and reconstruction technique and apply this to the solar wind magnetic field components detected at the L1 Lagrange point ∼ 0.01 AU upstream of the Earth. These filtered interplanetary magnetic field (IMF) data are fed into a model to calculate a time series which we call AE *. This model was adjusted assuming that magnetic reconnec-tion associated with southward-directed IMF B z is the main mechanism transferring energy into the magnetosphere. The calculated AE * was compared to the observed AE (auroral electrojet) index using cross-correlation analysis. The results show correlations as high as 0.90. Empirical removal of the high-frequency, short-wavelength Alfvénic component in the IMF by wavelet decomposition is shown to dramatically improve the correlation between AE * and the observed AE index. It is envisioned that this AE * can be used as the main input for a model to forecast relativistic electrons in the Earth's outer radiation belts, which are delayed by ∼ 1 to 2 days from intense AE events.
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Fernando Guarnieri, Bruce Tsurutani, Luis Vieira, Rajkumar Hajra, Ezequiel Echer, et al.. A correlation study regarding the AE index and ACE solar wind data for Alfvénic intervals using wavelet decomposition and reconstruction. Nonlinear Processes in Geophysics, European Geosciences Union (EGU), 2018, 25 (1), pp.67-76. ⟨10.5194/npg-25-67-2018⟩. ⟨insu-01976508⟩

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