Abstract:
A statistical evaluation of storm-time total electron content (TEC. modelling techniques over various latitudes of the African sector and surrounding areas is presented. For each selected global positioning satellite (GPS. receiver station, three different storm-time models based on empirical orthogonal functions (EOF. analysis, non-linear regression analysis (NLRA. and Artificial neural networks (ANN., were implemented. Storm-time TEC derived from GPS measurements over selected receiver stations were used to develop and validate the models. The models' estimates were compared with TEC provided by the International Reference Ionosphere (IRI - 2016. and statistics are presented. A statistical analysis revealed that ANN provides more accurate predictions than other modelling techniques. However, strengths and weaknesses of each model are provided. - Abstract as displayed in the - Abstract booklet. The presentation on the day may differ from the - Abstract.
