@InProceedings{PicançoDNBRRCCBBM:2018:ReDiIo,
author = "Pican{\c{c}}o, Giorgio Arlan da Silva and Denardin, Clezio Marcos
and Nogueira, P. A. B. and Barbosa Neto, Paulo Fran{\c{c}}a and
Romero-Hernandez, E. and Resende, Laysa Cristina Ara{\'u}jo and
Carmo, Carolina de Sousa do and Chen, Sony Su and Bertollotto,
Thain{\'a} de Oliveira and Bilibio, Anderson Vestena and Moro,
Juliano",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Federal de
S{\~a}o Paulo (IFSP)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Autonomous University of Nuevo Le{\'o}n
(UANL)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Response of the disturbance ionosphere index to geomagnetic
storms",
year = "2018",
organization = "Simp{\'o}sio Brasileiro de Geof{\'{\i}}sica Espacial e
Aeronomia, 7. (SBGEA)",
abstract = "The Disturbance Ionosphere Index (DIX) is an index originally
designed to express the response of the ionosphere to magnetic
disturbances. In this work we present a preliminary analysis of
results obtained from the DIX calculation during geomagnetic
disturbed periods. The DIX values are calculated from the
deviation of TEC data from a non-perturbed reference baseline,
such as a 3-hour moving average of the TEC obtained during a quiet
period. We assume that such deviation is related to the degree of
perturbation in the ionospheric content, providing a quick and
approximate estimation of the ionospheric local state.
Consequently, different mathematical approaches to estimate the
ionospheric state can emphasize certain physical phenomena mainly
observed during day or nighttime. Therefore, we calculated the DIX
for some magnetic storm periods using different methods to
estimate the TEC-baseline deviation and adjust the peak-valley
normalization on the DIX scale. The results are presented and
discussed in terms of a statistical analysis, focusing on the
physical relation between DIX values and ionospheric disturbances
observed in TEC data.",
conference-location = "Santa Maria, RS",
conference-year = "05-09 nov",
language = "en",
targetfile = "picanco_response.pdf",
urlaccessdate = "27 abr. 2024"
}