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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union

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https://doi.org/10.5194/npg-2017-42
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
04 Aug 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Nonlinear Processes in Geophysics (NPG).
A correlation study regarding the AE index and ACE solar wind data for Alfvénic intervals using wavelet decomposition and reconstruction
Fernando L. Guarnieri1, Bruce T. Tsurutani2, Luis E. A. Vieira1, Rajkumar Hajra3, Ezequiel Echer1, Antony J. Mannucci2, and Walter D. Gonzalez1 1Instituto Nacional de Pesquisas Espaciais – INPE, São José dos Campos, SP, Brazil
2Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
3Laboratoire de Physique et Chimie de l'Environement et de l'Espace, CNRS, Orléans, France
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. This filtered interplanetary magnetic field (IMF) data is fed into a model to calculate a time series which we call AE*. This model was adjusted assuming that magnetic reconnection associated with southward directed IMF Bz is the main mechanism transferring energy into the magnetosphere. The calculated AE* was compared to the observed AE 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.

Citation: Guarnieri, F. L., Tsurutani, B. T., Vieira, L. E. A., Hajra, R., Echer, E., Mannucci, A. J., and Gonzalez, W. D.: A correlation study regarding the AE index and ACE solar wind data for Alfvénic intervals using wavelet decomposition and reconstruction, Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2017-42, in review, 2017.
Fernando L. Guarnieri et al.
Fernando L. Guarnieri et al.
Fernando L. Guarnieri et al.

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Short summary
In this work we developed a method to obtain a time series named as AE* which is well correlated to the geomagnetic AE index. In this process, a wavelets filtering is applied on interplanetary solar wind data from spacecrafts around L1 libration point. This geomagnetic indicator AE* can be obtained well before the AE index release in its final form, and it can be used to feed models for geomagnetic effects, such as the relativistic electrons, giving forecasts with ~ 1 to 2 days in advance.
In this work we developed a method to obtain a time series named as AE* which is well correlated...
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