@Article{MoroXDRSCPZLYWS:2019:PeIRBr,
author = "Moro, Juliano and Xu, Jiyao and Denardin, Clezio Marcos and
Resende, Laysa Cristina Ara{\'u}jo and Silva, R{\'e}gia Pereira
da and Chen, Sony Su and Pican{\c{c}}o, Giorgio Arlan da Silva
and Zhengkuan, Liu and Li, Hui and Yan, Chunxiao and Wang, Chi and
Schuch, Nelson Jorge",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Chinese
Academy of Sciences (CAS)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {} and {} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Chinese Academy of Sciences (CAS)} and
{Chinese Academy of Sciences (CAS)} and {Chinese Academy of
Sciences (CAS)} and {Chinese Academy of Sciences (CAS)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Performance of the IRI-2016 at the Brazilian low-latitude
ionosphere over the South America Magnetic Anomaly during solar
minimum",
journal = "Annales Geophysicae Discussions",
year = "2019",
volume = "126",
pages = "1--19",
abstract = "In this work we analyse the ionograms obtained by the recent
Digisonde installed in Santa Maria (29.7º S, 53.7º W, dip angle =
-37º), Brazil, to calculate the monthly averages of the F2 layer
critical frequency (foF2), its peak height (hmF2), and the
E-region critical frequency (foE) acquired during geomagnetically
quiet days from September 2017 to August 2018. The monthly
averages are compared to the 2016 version of the International
Reference Ionosphere (IRI) model predictions in 15 order to study
its performance close to the center of the South America Magnetic
Anomaly (SAMA), which is a region particularly important for High
Frequency (HF) ground-to-satellite navigation signals. The foF2
estimated with the Consultative Committee International Radio
(CCIR) and International Union of Radio Science (URSI) options
predicts well throughout the year. Whereas, for hmF2, it is
recommended to use the SHU-2015 option instead of the other
available options (AMTB2013 and BSE-1979). The IRI-2016 model
outputs for foE and the observations presented very good
agreements.",
doi = "10.5194/angeo-2019-126",
url = "http://dx.doi.org/10.5194/angeo-2019-126",
issn = "0992-7689",
label = "lattes: 3865836007446677 7 MoroXMCPSAZLYWJ:2019:PeIRBr",
language = "en",
targetfile = "moro_performance.pdf",
urlaccessdate = "27 abr. 2024"
}