Articles | Volume 37, issue 1
https://doi.org/10.5194/angeo-37-65-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-37-65-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Regular paper
| 
30 Jan 2019
Regular paper |
| 30 Jan 2019
| 30 Jan 2019
Modeling of GPS total electron content over the African low-latitude region using empirical orthogonal functions
Geoffrey Andima
CORRESPONDING AUTHOR
Department of Physics, Mbarara University of Science and Technology, Mbarara, Uganda
Emirant B. Amabayo
Department of Physics, Mbarara University of Science and Technology, Mbarara, Uganda
Department of Physics, Busitema University, Tororo, Uganda
Edward Jurua
Department of Physics, Mbarara University of Science and Technology, Mbarara, Uganda
Pierre J. Cilliers
South African National Space Agency (SANSA) Space Science, Hermanus, South Africa
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Cited
15 citations as recorded by crossref.
- Total electron content forecasting with neural networks during intense geomagnetic storms of the solar maximum and moderate years of solar cycle 24 in the low latitude Indian region S. Chaurasiya et al. 10.1007/s10509-023-04237-8
- A review of global long-term changes in the mesosphere, thermosphere and ionosphere: A starting point for inclusion in (semi-) empirical models I. Cnossen et al. 10.1016/j.asr.2024.10.005
- Prediction of Total Electron Content (TEC) using Neural Network over Anomaly Crest Region Bhopal S. Sahu et al. 10.1016/j.asr.2021.05.027
- Review of Long-Term Trends in the Equatorial Ionosphere Due the Geomagnetic Field Secular Variations and Its Relevance to Space Weather A. Elias et al. 10.3390/atmos13010040
- CNES real-time ionospheric product accuracy analysis based on empirical orthogonal function decomposition Z. Xu et al. 10.1007/s10509-022-04048-3
- Global total electron content prediction performance assessment of the IRI-2016 model based on empirical orthogonal function decomposition S. Li et al. 10.5194/angeo-38-331-2020
- Empirical orthogonal function analysis and modeling of global ionospheric spherical harmonic coefficients P. Chen et al. 10.1007/s10291-020-00984-1
- Empirical Orthogonal Function Analysis and Modeling of Global Tropospheric Delay Spherical Harmonic Coefficients Y. Ma et al. 10.3390/rs13214385
- A Realistic Projection of Climate Change in the Upper Atmosphere Into the 21st Century I. Cnossen 10.1029/2022GL100693
- Constructing a Regional Ionospheric TEC Model in China with Empirical Orthogonal Function and Dense GNSS Observation B. Xiong et al. 10.3390/rs15215207
- On the possible contribution of ionospheric vertical drifts to TEC modelling in low latitudes V. Habyarimana et al. 10.1016/j.asr.2020.02.005
- Prediction of ionospheric total electron content over low latitude region: Case study in Ethiopia G. Alemu & Y. Ejigu 10.1016/j.asr.2024.03.062
- Analysis of Plasma Bubble Signatures in Total Electron Content Maps of the Low-Latitude Ionosphere: A Simplified Methodology C. Oliveira et al. 10.1007/s10712-020-09584-7
- Performance analysis of IRI-2016 model TEC predictions over Northern and Southern Hemispheric IGS stations during descending phase of solar cycle 24 J. de Dieu Nibigira et al. 10.1007/s11600-021-00618-1
- An Anisotropic Kriging for Ionospheric Delay Interpolation With a Wide Area Reference Network H. Ren et al. 10.1109/TGRS.2024.3508800
15 citations as recorded by crossref.
- Total electron content forecasting with neural networks during intense geomagnetic storms of the solar maximum and moderate years of solar cycle 24 in the low latitude Indian region S. Chaurasiya et al. 10.1007/s10509-023-04237-8
- A review of global long-term changes in the mesosphere, thermosphere and ionosphere: A starting point for inclusion in (semi-) empirical models I. Cnossen et al. 10.1016/j.asr.2024.10.005
- Prediction of Total Electron Content (TEC) using Neural Network over Anomaly Crest Region Bhopal S. Sahu et al. 10.1016/j.asr.2021.05.027
- Review of Long-Term Trends in the Equatorial Ionosphere Due the Geomagnetic Field Secular Variations and Its Relevance to Space Weather A. Elias et al. 10.3390/atmos13010040
- CNES real-time ionospheric product accuracy analysis based on empirical orthogonal function decomposition Z. Xu et al. 10.1007/s10509-022-04048-3
- Global total electron content prediction performance assessment of the IRI-2016 model based on empirical orthogonal function decomposition S. Li et al. 10.5194/angeo-38-331-2020
- Empirical orthogonal function analysis and modeling of global ionospheric spherical harmonic coefficients P. Chen et al. 10.1007/s10291-020-00984-1
- Empirical Orthogonal Function Analysis and Modeling of Global Tropospheric Delay Spherical Harmonic Coefficients Y. Ma et al. 10.3390/rs13214385
- A Realistic Projection of Climate Change in the Upper Atmosphere Into the 21st Century I. Cnossen 10.1029/2022GL100693
- Constructing a Regional Ionospheric TEC Model in China with Empirical Orthogonal Function and Dense GNSS Observation B. Xiong et al. 10.3390/rs15215207
- On the possible contribution of ionospheric vertical drifts to TEC modelling in low latitudes V. Habyarimana et al. 10.1016/j.asr.2020.02.005
- Prediction of ionospheric total electron content over low latitude region: Case study in Ethiopia G. Alemu & Y. Ejigu 10.1016/j.asr.2024.03.062
- Analysis of Plasma Bubble Signatures in Total Electron Content Maps of the Low-Latitude Ionosphere: A Simplified Methodology C. Oliveira et al. 10.1007/s10712-020-09584-7
- Performance analysis of IRI-2016 model TEC predictions over Northern and Southern Hemispheric IGS stations during descending phase of solar cycle 24 J. de Dieu Nibigira et al. 10.1007/s11600-021-00618-1
- An Anisotropic Kriging for Ionospheric Delay Interpolation With a Wide Area Reference Network H. Ren et al. 10.1109/TGRS.2024.3508800
Latest update: 20 Jan 2025
Short summary
Based on hourly averages of the total electron content (TEC), a regional model of the TEC was constructed. Annual averages calculated from monthly medians of the detrended TEC were used to estimate any trends in the TEC over the African low latitudes. A predominantly negative trend in the ionospheric TEC was observed in the vicinity of the dip equator.
Based on hourly averages of the total electron content (TEC), a regional model of the TEC was...
