Pattern of F2-layer peak electron density across African Ionosonde locations and response to solar activity

Adebesin, B.O.; Ikubanni, S.O.; Adebiyi, S.J.; Bakare, Nurudeen; Okoh, Daniel; Adeniyi, J.O.; Adekoya, B. J.

doi:10.1016/j.asr.2022.07.080

Cited by 4 publications

(1 citation statement)

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“…One of the prominent and unique features in this region is the Equatorial Ionization Anomaly (EIA). Equatorial Ionization Anomaly (E.I.A) refers to a specific pattern of electron density variations in the F2-layer of the ionosphere that is characterized by an increase in electron density during the daytime compared to the nighttime which is typically within about ±20° latitude from the equator (Chen et al 2021;Liu et al 2007;Stolle et al 2008;Aggarwal 2011;Abdu 2005;Ogwala et al 2022;Adebesin et al 2023;Li et al 2021;Zhang et al 2019;. This unique feature and many other ionospheric dynamics leads large fluctuations in the radio wave along the satellite propagation signal paths (Tariku 2020a;Kintner and Ledvina 2005;Bhattacharyya 2022;Afraimovich et al 2013).…”

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confidence: 99%

Total Electron Content Variations at a Low Latitude East African Station and Its Comparison with IRI-2016, IRI-Plas2017 and NeQuick-2 Models during Solar Cycle 24

Kayode,

Okoh,

Onori

et al. 2023

Preprint

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Ionospheric modelling is one of the most crucial approaches to study the activities of the ionosphere particularly in regions where experimental data are not readily available. This research aims to study the variations of Total Electron Content (TEC) in a low latitude east African station (Addis Ababa) by comparing experimental values of TEC from the Global Positioning System (GPS) with predicted data from IRI-2016, IRI-Plas2017 and NeQuick-2 models during solar cycle 24 using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) metric analysis approach. An hourly interval profile computed on seasonal basis were used to study the behaviors of TEC. A monthly interval error profile plotted on annual basis was also used to investigate the deviations of the models from the GPS values. This study analyzed TEC data from 2011 to 2017, utilizing 84 months of available data. The results from this study showed TEC have their lowest values during the post-midnight hours (02:00UT) and highest values during the pre-noon hours (11:00UT). We also observed that Equinoxes have high value of TEC than Solstices except during the ascending and maximum phases where seasonal/winter anomalies were recorded. From our statistical analysis, MAE was observed to give error value of ~ 3 TECU (TEC units) lower than the RMSE. Also from this result, we concluded that MAE is a better statistical metric than RMSE. IRI-Plas2017 outperformed IRI-2016 and NeQuick-2 models in predicting TEC values in East Africa during solar cycle 24, with a 71.4% better performance compared to other models.

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