@Article{LimaSPBARAD:2014:CoAnTh,
author = "Lima, G. R. T. De and Stephany, Stephan and Paula, Eurico
Rodrigues de and Batista, Inez Staciarini and Abdu, M. A. and
Rezende, Luiz Felipe Campos de and Aquino, Maria Goreti dos Santos
and Dutra, A. P. S.",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Correlation analysis between the occurrence of ionospheric
scintillation at the magnetic equator and at the southern peak of
the Equatorial Ionization Anomaly",
journal = "Space Weather",
year = "2014",
volume = "12",
number = "6",
pages = "406--416",
month = "June",
abstract = "Ionospheric scintillation refers to amplitude and phase
fluctuations in radio signals due to electron density
irregularities associated to structures named ionospheric plasma
bubbles. The phenomenon is more pronounced around the magnetic
equator where, after sunset, plasma bubbles of varying sizes and
density depletions are generated by plasma instability mechanisms.
The bubble depletions are aligned along Earth's magnetic field
lines, and they develop vertically upward over the magnetic
equator so that their extremities extend in latitude to north and
south of the dip equator. Over Brazil, developing bubbles can
extend to the southern peak of the Equatorial Ionization Anomaly,
where high levels of ionospheric scintillation are common.
Scintillation may seriously affect satellite navigation systems,
such as the Global Navigation Satellite Systems. However, its
effects may be mitigated by using a predictive model derived from
a collection of extended databases on scintillation and its
associated variables. This work proposes the use of a
classification and regression decision tree to perform a study on
the correlation between the occurrence of scintillation at the
magnetic equator and that at the southern peak of the equatorial
anomaly. Due to limited size of the original database, a novel
resampling heuristic was applied to generate new training
instances from the original ones in order to improve the accuracy
of the decision tree. The correlation analysis presented in this
work may serve as a starting point for the eventual development of
a predictive model suitable for operational use. Key Points
Analyzes correlation between scintillation occurrence at different
stations Includes the selection of attributes for the proposed
correlation analysis Employs decision tree to analyze the
correlation of scintillation occurrences ©2014. American
Geophysical Union. All Rights Reserved.",
doi = "10.1002/2014SW001041",
url = "http://dx.doi.org/10.1002/2014SW001041",
issn = "1542-7390",
label = "scopus 2014-11 LimaSPBARAD:2014:CoAnTh",
language = "en",
targetfile = "swe20153lima.pdf",
urlaccessdate = "03 maio 2024"
}