This paper evaluates the comparision of IRI-2020 and AfriTEC ionospheric models in predicting TEC variations during geomagnetically disturbed time over East Africa in case of Ethiopia. In equatorial places like Ethiopia, the geomagnetic disturbance of the ionosphere can cause significant changes during disturbed time, which could lead to inaccurate position, timing data in satellite navigation and communication systems. For Ethiopian sectoral long-distance radio transmission, it is significant that the electron density can fluctuate diurnally, monthly and seasonally because of variations in the height and peak density of the F-region. To minimize this problem, we use the IRI-2020, the AfriTEC, and GNSS data. The IRI-2020 data predicted from the instant run version, the AfriTEC data predicted using the Matlab toolbox, and GNSS data were collected from the IGS network of ground-based dual-frequency GPS receivers across five Ethiopian sectors. By using geomagnetic parameters from omniweb data explorer, particularly the Dst index ranging from -70 to 20 nT for 2016. The results show a consistent daily and monthly correlation between the estimated TEC from both models and the GNSS, with notable seasonal variations. While the models showed good agreement across all seasons, discrepancies were observed in December and June. Seasonal equinox and solstice periods were particularly analyzed, with AfriTEC showing an overestimation of TEC by 2 to 5 TECU in April, yet having a lower root-mean-square error (RMSE) of 0.36 compared to IRI-2020. Finally, the diurnal, monthly, and seasonal statistical RMSE values indicate that the IRI-2020 model has the highest error, while the AfriTEC model has the lowest error. Therefore, the evidence shows that the AfriTEC ionospheric model gives a better prediction of the TEC and shows its superior performance in capturing ionospheric behavior during disturbed periods in Ethiopia. Accurate modeling of TEC is therefore essential for reliable long-distance radio communication in this region.
| Published in | American Journal of Astronomy and Astrophysics (Volume 12, Issue 3) |
| DOI | 10.11648/j.ajaa.20251203.14 |
| Page(s) | 90-105 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
IRI-2020 Model, AfriTEC Model, Vertical Total Electron Content, GNSS, RMSE
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APA Style
Bagaje, M. B., Terefe, D. A., Data, E. A., Gebino, G. K. (2025). Comparative Performance Analysis of IRI-2020 and AfriTEC Ionospheric Models over Ethiopia During Geomagnetically Disturbed Periods. American Journal of Astronomy and Astrophysics, 12(3), 90-105. https://doi.org/10.11648/j.ajaa.20251203.14
ACS Style
Bagaje, M. B.; Terefe, D. A.; Data, E. A.; Gebino, G. K. Comparative Performance Analysis of IRI-2020 and AfriTEC Ionospheric Models over Ethiopia During Geomagnetically Disturbed Periods. Am. J. Astron. Astrophys. 2025, 12(3), 90-105. doi: 10.11648/j.ajaa.20251203.14
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Download@article{10.11648/j.ajaa.20251203.14,
author = {Melaku Belayneh Bagaje and Dejene Ambisa Terefe and Efrem Amanuel Data and Gebre Kalute Gebino},
title = {Comparative Performance Analysis of IRI-2020 and AfriTEC Ionospheric Models over Ethiopia During Geomagnetically Disturbed Periods
},
journal = {American Journal of Astronomy and Astrophysics},
volume = {12},
number = {3},
pages = {90-105},
doi = {10.11648/j.ajaa.20251203.14},
url = {https://doi.org/10.11648/j.ajaa.20251203.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaa.20251203.14},
abstract = {This paper evaluates the comparision of IRI-2020 and AfriTEC ionospheric models in predicting TEC variations during geomagnetically disturbed time over East Africa in case of Ethiopia. In equatorial places like Ethiopia, the geomagnetic disturbance of the ionosphere can cause significant changes during disturbed time, which could lead to inaccurate position, timing data in satellite navigation and communication systems. For Ethiopian sectoral long-distance radio transmission, it is significant that the electron density can fluctuate diurnally, monthly and seasonally because of variations in the height and peak density of the F-region. To minimize this problem, we use the IRI-2020, the AfriTEC, and GNSS data. The IRI-2020 data predicted from the instant run version, the AfriTEC data predicted using the Matlab toolbox, and GNSS data were collected from the IGS network of ground-based dual-frequency GPS receivers across five Ethiopian sectors. By using geomagnetic parameters from omniweb data explorer, particularly the Dst index ranging from -70 to 20 nT for 2016. The results show a consistent daily and monthly correlation between the estimated TEC from both models and the GNSS, with notable seasonal variations. While the models showed good agreement across all seasons, discrepancies were observed in December and June. Seasonal equinox and solstice periods were particularly analyzed, with AfriTEC showing an overestimation of TEC by 2 to 5 TECU in April, yet having a lower root-mean-square error (RMSE) of 0.36 compared to IRI-2020. Finally, the diurnal, monthly, and seasonal statistical RMSE values indicate that the IRI-2020 model has the highest error, while the AfriTEC model has the lowest error. Therefore, the evidence shows that the AfriTEC ionospheric model gives a better prediction of the TEC and shows its superior performance in capturing ionospheric behavior during disturbed periods in Ethiopia. Accurate modeling of TEC is therefore essential for reliable long-distance radio communication in this region.
},
year = {2025}
}
TY - JOUR T1 - Comparative Performance Analysis of IRI-2020 and AfriTEC Ionospheric Models over Ethiopia During Geomagnetically Disturbed Periods AU - Melaku Belayneh Bagaje AU - Dejene Ambisa Terefe AU - Efrem Amanuel Data AU - Gebre Kalute Gebino Y1 - 2025/08/05 PY - 2025 N1 - https://doi.org/10.11648/j.ajaa.20251203.14 DO - 10.11648/j.ajaa.20251203.14 T2 - American Journal of Astronomy and Astrophysics JF - American Journal of Astronomy and Astrophysics JO - American Journal of Astronomy and Astrophysics SP - 90 EP - 105 PB - Science Publishing Group SN - 2376-4686 UR - https://doi.org/10.11648/j.ajaa.20251203.14 AB - This paper evaluates the comparision of IRI-2020 and AfriTEC ionospheric models in predicting TEC variations during geomagnetically disturbed time over East Africa in case of Ethiopia. In equatorial places like Ethiopia, the geomagnetic disturbance of the ionosphere can cause significant changes during disturbed time, which could lead to inaccurate position, timing data in satellite navigation and communication systems. For Ethiopian sectoral long-distance radio transmission, it is significant that the electron density can fluctuate diurnally, monthly and seasonally because of variations in the height and peak density of the F-region. To minimize this problem, we use the IRI-2020, the AfriTEC, and GNSS data. The IRI-2020 data predicted from the instant run version, the AfriTEC data predicted using the Matlab toolbox, and GNSS data were collected from the IGS network of ground-based dual-frequency GPS receivers across five Ethiopian sectors. By using geomagnetic parameters from omniweb data explorer, particularly the Dst index ranging from -70 to 20 nT for 2016. The results show a consistent daily and monthly correlation between the estimated TEC from both models and the GNSS, with notable seasonal variations. While the models showed good agreement across all seasons, discrepancies were observed in December and June. Seasonal equinox and solstice periods were particularly analyzed, with AfriTEC showing an overestimation of TEC by 2 to 5 TECU in April, yet having a lower root-mean-square error (RMSE) of 0.36 compared to IRI-2020. Finally, the diurnal, monthly, and seasonal statistical RMSE values indicate that the IRI-2020 model has the highest error, while the AfriTEC model has the lowest error. Therefore, the evidence shows that the AfriTEC ionospheric model gives a better prediction of the TEC and shows its superior performance in capturing ionospheric behavior during disturbed periods in Ethiopia. Accurate modeling of TEC is therefore essential for reliable long-distance radio communication in this region. VL - 12 IS - 3 ER -
Department of Physics, Wolaita Sodo University, Wolaita Sodo, Ethiopia
Department of Space and Planetary Science (SPS), Space Science and Geospatial Institute (SSGI), Addis Ababa, Ethiopia
Department of Physics, Wolaita Sodo University, Wolaita Sodo, Ethiopia, Department of Geology, Wolaita Sodo University, Wolaita Sodo, Ethiopia
Department of Physics, Wolaita Sodo University, Wolaita Sodo, Ethiopia
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