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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: regular paper 10 Sep 2019

Submitted as: regular paper | 10 Sep 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Annales Geophysicae (ANGEO).

Performance of the IRI-2016 at the Brazilian low-latitude ionosphere over the South America Magnetic Anomaly during solar minimum

Juliano Moro1,2, Jiyao Xu1, Clezio Marcos De Nardin3, Laysa Cristina Araújo Resende1,3, Régia Pereira Silva3, Sony Su Chen3, Giorgio Arlan da Silva Picanço3, Liu Zhengkuan1, Hui Li1, Chunxiao Yan1, Chi Wang1, and Nelson Jorge Schuch2 Juliano Moro et al.
  • 1State Key Laboratory of Space Weather – NSSC/CAS, Beijing, China
  • 2Southern Regional Space Research Center – CRCRS/COCRE/INPE-MCTIC, Santa Maria, Brazil
  • 3National Institute for Space Research – INPE/MCTIC, São José dos Campos, Brazil

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 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.

Juliano Moro et al.
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Juliano Moro et al.
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