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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/angeo-2018-87
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-2018-87
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Regular paper 30 Jul 2018

Regular paper | 30 Jul 2018

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Annales Geophysicae (ANGEO).

Modeling of GPS total electron content over the African low latitude region using empirical orthogonal functions

Geoffrey Andima1, Emirant B. Amabayo1,2, Edward Jurua1, and Pierre J. Cilliers3 Geoffrey Andima et al.
  • 1Department of Physics, Mbarara University of Science and Technology, Mbarara, Uganda
  • 2Department of Physics, Busitema University, Tororo, Uganda
  • 3South African National Space Agency (SANSA) Space Science, Hermanus, South Africa

Abstract. In this paper, an empirical total electron content (TEC) model and trends in TEC over the African low latitude region are presented. GPS-derived TEC data from Malindi, Kenya (geographic coordinates 40.194°E, 2.996°S) and global ionospheric maps (GIMs) were used. We employed empirical orthogonal function (EOF) analysis method together with least square regression to model the TEC. The EOF-based TEC model was validated through comparisons with GIMs, GPS-derived TEC and TEC derived from the International Reference Ionosphere-2016 (IRI-2016) model for selected quiet and storm conditions. The single station EOF-based TEC model over Malindi satisfactory reproduced the known diurnal, semiannual and annual variations in the TEC. Comparison of the EOF-based TEC model results with TEC derived from IRI-2016 model showed that the EOF-based model predicted the TEC over Malindi with less errors than the IRI-2016. For the selected storms, the EOF-based TEC model simulated the storm time TEC response over Malindi better than the IRI-2016. In the case of the regional model, the EOF-based TEC model was able to reproduce the TEC characteristics in the equatorial ionization anomaly region. The EOF-based TEC model was then used as a background in estimating TEC trends. A latitudinal dependence in the trends was observed over the African low latitude region.

Geoffrey Andima et al.
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Geoffrey Andima et al.
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