@Article{SilvaSoMaLoMoAb:2021:EvDuEa,
author = "Silva, Andr{\'e} L. A. and Sousasantos, J. and Marini Pereira, L.
and Louren{\c{c}}o, L. F. D. and Moraes, A. O. and Abdu,
Mangalathayil Ali",
affiliation = "{Instituto Tecnol{\'o}gico de Aeron{\'a}utica (ITA)} and
{Instituto Tecnol{\'o}gico de Aeron{\'a}utica (ITA)} and
{Instituto de Controle do Espa{\c{c}}o A{\'e}reo (ICEA)} and
Embraer and {Instituto de Aeron{\'a}utica e Espa{\c{c}}o (IAE)}
and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Evaluation of the dusk and early nighttime Total Electron Content
modeling over the eastern Brazilian region during a solar maximum
period",
journal = "Advances in Space Research",
year = "2021",
volume = "67",
number = "5",
pages = "1580--1598",
month = "Mar.",
keywords = "GNSS, Single frequency users, Ionospheric delay, Ionospheric
models, Low latitude regions.",
abstract = "The ionosphere is one of the main sources of errors for the GNSS
(Global Navigation Satellite System) users in low-latitude
regions. The ionosphere delays the signal propagation, directly
influencing the pseudorange estimation, which is fundamental for
positioning estimation. This study aims at evaluating empirical
and theoretical models that generate profiles of Total Electron
Content (TEC), with respect to their ability to represent the
spatiotemporal distribution of the ionospheric plasma. For this
purpose, the TEC data calculated from measurements obtained by
receivers from the Brazilian Network for Continuous Monitoring of
GNSS Systems (RBMC) were compared with ionospheric models that
provide the TEC values. The TEC calculation procedure is presented
in the manuscript. The Klobuchar model, the empirical model
IRI-2016, which has the NeQuick model integrated in its
calculations, and the SAMI2 model were evaluated. Data from 2
years around solar maximum period was used considering averaged
values over Brazilian region. The evaluations carried out between
the TEC values obtained from the models and the real TEC data
showed that the models have some deviations, therefore requiring
future improvements. According to the results, the deviations may
reach approximately 7 m and are originated from physical
peculiarities on the spatial environment over the Brazilian
region. (.",
doi = "10.1016/j.asr.2020.12.015",
url = "http://dx.doi.org/10.1016/j.asr.2020.12.015",
issn = "0273-1177 and 1879-1948",
language = "en",
targetfile = "silva_evaluation.pdf",
urlaccessdate = "15 jun. 2024"
}