Abstract

This study deals with comparison between Dakar station ionospheric F2 layer critical frequency (foF2) data and both subroutines (CCIR and URSI) of IRI-2016 model predictions. Dakar station is located near the crest of the African Equatorial Ionization Anomaly (EIA) region. Comparisons are made for very quiet activity during the four seasons (spring, summer, autumn and winter) over both solar cycles 21 and 22. The quietest days per season are determined by taking the five days with the lowest aa. The relative standard deviation of modeled foF2 values is used to assess the quality of IRI model prediction. Model predictions are suitable with observed data by day than by night. The accuracy is better during spring season and poor during winter season. During all seasons, both model subroutines don’t express the signature of the observed vertical drift E×B. But they express an intense counter electrojet at the place of mean intensity or high electrojet.

Highlights

  • Experimental data comparison and model estimation is common in ionosphere study

  • Union of Radio Science (URSI)'s predictions are suitable for a longer time in the day than for CCIR, except in winter

  • This indicates as already demonstrated by Guibula, Zerbo, Kaboré, Ouattara (2019) at Korhogo station that URSI's predictions are better than CCIR's

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Summary

Introduction

Experimental data comparison and model estimation is common in ionosphere study The. International Reference Ionosphere (IRI) is a joint undertaking by the Committee on Space Research (COSPAR). The International Union of Radio Science (URSI), since the 1960s. This international standard's first version parameters of Earth’s ionosphere dates from 1978 (Rawer, Bilitza, & Ramakrishnan 1978). The IRI model has gradually improved every 5 years due to the new data acquired, and to the advent of better modeling techniques and its latest version is IRI-2016 (Bilitza et al 2017). IRI model permits several ionospheric parameters determination (e.g. ionosphere layer critical frequencies, ionosphere total electron content (TEC), bottom side thickness (B0) and bottom side shape (B1), electron density (Ne), etc.)

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