Abstract

AbstractThis study investigates the performance of a tomographic algorithm, Multi‐Instrument and Data Analysis System (MIDAS), during an extended period of 4–14 March 2012, containing moderate and strong geomagnetic storms conditions, over an understudied and data scarce Eastern African longitude sector. Nonetheless, a relatively better distribution of Global Navigation Satellite Systems stations exists along a narrow longitude sector between 30°E and 44°E and latitude range of 30°S and 36°N that spans the equatorial, middle‐, and low‐latitude ionosphere. Then results are compared with independent global models such as International Reference Ionosphere 2012 (IRI‐2012) and global ionosphere map (GIM). MIDAS performance was better than that of the IRI‐2012 and GIM models in terms of capturing the diurnal trends as well as the short temporal total electron content (TEC) structures, with least root‐mean‐square errors (RMSEs). Overall, MIDAS results showed better agreement with the observation vertical TEC (VTEC) with computed maximum correlation coefficient (r) of 0.99 and minimum root‐mean‐square error (RMSE) of 2.91 TEC unit (1 TECU = 1,016 el m−2 over all the test stations and the validation days. Conversely, for the IRI‐2012 and GIM TEC estimates, the corresponding maximum computed r values were 0.93 and 0.99, respectively, while the minimum RMSEs were 13.03 TECU and 6.52 TECU, respectively, for all the test stations and the validation days.

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