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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

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Autor(es):
Guarnieri, Fernando L. [1] ; Tsurutani, Bruce T. [2] ; Vieira, Luis E. A. [1] ; Hajra, Rajkumar [3] ; Echer, Ezequiel [1] ; Mannucci, Anthony J. [2] ; Gonzalez, Walter D. [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] INPE, Sao Jose Dos Campos, SP - Brazil
[2] CALTECH, Jet Prop Lab, Pasadena, CA - USA
[3] CNRS, Lab Phys & Chim Environm & Espace, Orleans - France
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: Nonlinear Processes in Geophysics; v. 25, n. 1, p. 67-76, JAN 31 2018.
Citações Web of Science: 4
Resumo

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 similar to 0.01AU 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 reconnection 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 Alfvenic 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 similar to 1 to 2 days from intense AE events. (AU)

Processo FAPESP: 04/14784-4 - Estudo e previsão de ocorrência de tempestades, subtempestades e HILDCAAS
Beneficiário:Fernando Luis Guarnieri
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado