J. Space Weather Space Clim.
Volume 13, 2023
|Number of page(s)
|16 June 2023
A new approach for the generation of real-time GNSS low-latitude ionospheric scintillation maps
1 Coordination for Applied Research and Technological Development (COPDT/INPE), National Institute for Space Research (INPE), Av. dos Astronautas, 1758, 12227-010 São José dos Campos, São Paulo, Brazil
2 Department of Heliophysics, Planetary Sciences and Aeronomy (DIHPA/INPE), National Institute for Space Research (INPE), Av. dos Astronautas, 1758, 12227-010 São José dos Campos, São Paulo, Brazil
* Corresponding author: firstname.lastname@example.org
Accepted: 15 May 2023
Ionospheric scintillation disturbs radio frequency signals affecting navigation based on Global Navigation System (GNSS), especially in Brazil, due to the large magnetic declination. The generation of real-time scintillation maps is an important way to provide scintillation monitoring. This work considers amplitude scintillation, given by the S4 index. Some existing and some proposed approaches for generating these maps are presented and tested, being each one a combination of an interpolation method with some existing and/or proposed sets of pre-processing options. These approaches are named after the related interpolation method as GRIDDATA, Inverse Distance Weighting, Radial Basis Functions and Gaussian Process Regression. The making of scintillation maps requires the interpolation of Ionospheric Pierce Point (IPP) samples, given by the S4 values for each IPP of each satellite-station link considering the set of GNSS stations of the given area and time interval. Some intervals of time that presented strong scintillation over Brazil were selected and the corresponding sets of IPP samples were used to obtain sequences of maps using all possible combinations of interpolation and pre-processing options. Furthermore, a fifth, more recent, approach was also included in the comparison. The quality of the resulting maps was assessed, concluding that the Gaussian Process Regression approach, with a specific set of pre-processing options, allows to generate the most accurate scintillation maps. The proposed map generation approach is part of a broader proposal being implemented to provide real-time scintillation maps covering the Brazilian territory.
Key words: Ionospheric scintillation map / Interpolation / Gaussian process regression / Real-time data acquisition / Real-time image processing
© A.R.F. Martinon et al., Published by EDP Sciences 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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