| Issue |
J. Space Weather Space Clim.
Volume 15, 2025
|
|
|---|---|---|
| Article Number | 48 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/swsc/2025043 | |
| Published online | 06 November 2025 | |
Research Article
New formulation for the topside ionosphere and plasmasphere based on NeQuick
1
Department of Navigation and Positioning, Finnish Geospatial Research Institute (FGI), Espoo 02150, Finland
2
School of Technology and Innovations, University of Vaasa, Wolffintie 32, 65200 Vaasa, Finland
3
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Via di Vigna Murata 605, 00143 Rome, Italy
4
Department of Earth and Environmental Sciences, Ludwig Maximilian University of Munich (LMU), Theresienstraße 41, 80333 Munich, Germany
5
GFZ Helmholtz Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
* Corresponding author: fabricio.dossantosprol@nls.fi
Received:
8
April
2025
Accepted:
27
September
2025
The total electron content (TEC) affecting signal propagation of Global Navigation Satellite Systems (GNSS) is strongly influenced by the topside ionosphere and plasmasphere. This study introduces a new approach to representing the two regions. The developed topside ionosphere and plasmasphere model has been evaluated using TEC data from the COSMIC/FORMOSAT-3 mission, the Swarm-A satellite, and Global Ionospheric Maps (GIMs), covering the period from 2008 to 2024. Van Allen Probes data have also been used as a benchmark for the plasmasphere. All results have been obtained on the basis of a modified version of the NeQuick 2 model, named IonoMAP (Ionospheric Mapping). Although the new formulation for the topside ionosphere and plasmasphere still slightly underestimates TEC, it reduces biases to approximately 1–3 TECU and improves accuracy by 28–40% compared to the NeQuick 2 model formulation. These results suggest that the proposed model is a viable solution to improve current modeling of the topside ionosphere and plasmasphere.
Key words: Topside Ionosphere / Plasmasphere / GNSS / VTEC
© F. dos Santos Prol et al., Published by EDP Sciences 2025
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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