@Article{MoroXDRSCPZLYWS:2020:PeIROv,
author = "Moro, Juliano and Xu, Jiyao and Denardini, 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 = "{State Key Laboratory of Space Weather (NSSC/CAS)} and {State Key
Laboratory of Space Weather (NSSC/CAS)} 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 {State Key
Laboratory of Space Weather (NSSC/CAS)} and {State Key Laboratory
of Space Weather (NSSC/CAS)} and {State Key Laboratory of Space
Weather (NSSC/CAS)} and {State Key Laboratory of Space Weather
(NSSC/CAS)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Performance of the IRI-2016 over Santa Maria, a Brazilian
low-latitude station located in the central region of the South
American Magnetic Anomaly (SAMA)",
journal = "Annales Geophysicae",
year = "2020",
volume = "38",
number = "2",
pages = "457--466",
month = "Apr.",
abstract = "In this work we analyze the ionograms obtained by the recent
digisonde installed in Santa Maria (29.7° S, 53.7° W, dip angle =
-37°), 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 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
makes good predictions 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
agreement.",
doi = "10.5194/angeo-38-457-2020",
url = "http://dx.doi.org/10.5194/angeo-38-457-2020",
issn = "0992-7689",
language = "en",
targetfile = "moro_performance.pdf",
urlaccessdate = "04 jun. 2024"
}