@Article{GuarnieriTsViHaEcMaGo:2018:CoStRe,
author = "Guarnieri, Fernando L. and Tsurutani, Bruce T. and Vieira,
Lu{\'{\i}}s Eduardo Antunes and Hajra, Rajkumar and Echer,
Ezequiel and Mannucci, Anthony J. and Gonzalez Alarcon, Walter
Dem{\'e}trio",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {California
Institute of Technology} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{California Institute of Technology} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "A correlation study regarding the AE index and ACE solar wind data
for Alfv{\'e}nic intervals using wavelet decomposition and
reconstruction",
journal = "Nonlinear Processes in Geophysics",
year = "2018",
volume = "25",
pages = "67--76",
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 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 (auroral electrojet) index using
cross-correlation analysis. The results show correlations as high
as 0.90. Empirical removal of the high-frequency, short-wavelength
Alfv{\'e}nic 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 Earths outer radiation belts, which are delayed
by \∼ 1 to 2 days from intense AE events.",
doi = "10.5194/npg-25-67-2018",
url = "http://dx.doi.org/10.5194/npg-25-67-2018",
issn = "1023-5809",
label = "self-archiving-INPE-MCTIC-GOV-BR",
language = "en",
targetfile = "guarnieri_correlation.pdf",
urlaccessdate = "27 abr. 2024"
}