Modeling the Ionosphere during Quiet Time Variation at Ouagadougou in West Africa

Nanéma, Emmanuel; Gnabahou, Doua Allain; Zoundi, Christian; Ouattara, Frédéric

doi:10.4236/ijaa.2018.82011

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…A number of studies have been carried out worldwide comparing experimental and IRI data (Adeniyi et al, 2005;Adewale et al, 2010;Batista et al, 1996;Batista and Abdu, 2004;Bertoni et al, 2006;Bittencourt and Chryssafidis, 1994;Chakraborty et al, 2014;Erdinc et al, 2021;Kumar et al, 2014;Liu et al, 2010;Nanéma and Ouattara, 2013;Nanema et al, 2018;Ouattara and Nanéma, 2014;Oyeyemi et al, 2005;Sawadogo et al, 2019;Shastri et al, 1996;Sethi et al, 2007;Zhang et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

foF2 diurnal variation at Dakar station during the period of geomagnetic shock of variable duration over solar cycle 21 and 22: Prediction with IRI 2016

Ali,

Douzane,

Sibri

et al. 2023

Int. J. Phys. Sci.

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This work concerns the comparative study of the diurnal variation of the critical frequency of the F2 layer (foF2) between experimental data from the Dakar station and those of the IRI 2016 model through its URSI. The comparison was conducted during solar cycles 21 and 22, across different phases, and on various days of geomagnetic shock activity. The results indicate that during solar minimum, the graphs of the experimental data generally exhibit the signature of vertical drift, whereas the IRI model presents a plateau profile indicative of the absence of an electrojet. During this phase, the highest deviation percentages were typically observed around sunrise. The results also demonstrate that at the Dakar station, the increasing phase was characterized by a pre-reversal of the electric field on different shock days. Regardless of the duration of the shock, the decreasing phase was marked by the complete absence of an electrojet, as observed in both sets of data. The quantitative study reveals that at solar maximum, our results exhibit a strong correlation between the experimental data and the IRI model. Throughout all phases, predictions were accurate during the daytime and exhibited high values around sunrise.

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Section: Introductionmentioning

confidence: 99%

foF2 diurnal variation at Dakar station during the period of geomagnetic shock of variable duration over solar cycle 21 and 22: Prediction with IRI 2016

Ali,

Douzane,

Sibri

et al. 2023

Int. J. Phys. Sci.

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“…2014;Kumar, Tan, Razul, See & Siingh. 2014;Nanema, Gnabahou, Zoundi & Ouattara. 2018;Nané ma & Ouattara 2013;Ouattara & Nané ma 2014;Sandwidi, Gnabahou & Ouattara 2020, Sethi, Dabas, & Das 2007Zhang, Paxton, Bilitza & Doe.…”

Section: Introductionmentioning

confidence: 99%

foF2 Seasonal Prediction With IRI-2016 Over Quiet Activity at Dakar Station

Sandwidi¹,

Zoundi²,

Gnabahou³

et al. 2021

APR

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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.

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Performance analysis of quiet and disturbed time ionospheric TEC responses from GPS-based observations, IGS-GIM, IRI-2016 and SPIM/IRI-Plas 2017 models over the low latitude Indian region

Reddybattula

Panda

2019

Advances in Space Research

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Modeling the Ionosphere during Quiet Time Variation at Ouagadougou in West Africa

Cited by 6 publications

References 26 publications

foF2 diurnal variation at Dakar station during the period of geomagnetic shock of variable duration over solar cycle 21 and 22: Prediction with IRI 2016

foF2 diurnal variation at Dakar station during the period of geomagnetic shock of variable duration over solar cycle 21 and 22: Prediction with IRI 2016

foF2 Seasonal Prediction With IRI-2016 Over Quiet Activity at Dakar Station

Performance analysis of quiet and disturbed time ionospheric TEC responses from GPS-based observations, IGS-GIM, IRI-2016 and SPIM/IRI-Plas 2017 models over the low latitude Indian region

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