Critical Frequency foF2 Variations at Korhogo Station from 1992 to 2001 Prediction with IRI-2012

Guibula, Karim; Zerbo, Jean Louis; Ouattara, Frédéric

doi:10.1155/2019/2792101

Cited by 6 publications

(7 citation statements)

References 18 publications

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“…During all seasons, 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.…”

Section: Discussionsupporting

confidence: 77%

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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Section: Discussionsupporting

confidence: 77%

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

Sandwidi¹,

Zoundi²,

Gnabahou³

et al. 2021

APR

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“…The quantitative study through the percentage of deviation shows that the prediction is good during the day compared to night. This result was found by Sandwidi et al (2020) in their study at the same Dakar station but during the geomagnetic quiet activity using the same IRI 2016 model and was also shown by Guibula et al (2019) using the Korogho station with the IRI 2012 model. Batista and Abdu (2004) also found good agreement between observed data and the model during the day.…”

Section: Quality Of Fof2 Prediction During Sa At the Dakar Station Fo...supporting

confidence: 75%

“…The diurnal variation of foF2 studied at the Korhogo station from 1992 to 2001 by Guibula et al (2019) during various geomagnetic activities reveals that during quiet and fluctuating periods, the URSI sub-program of IRI 2012 accurately captures the vertical drift signature during both the increasing and decreasing phases. The quantitative analysis also indicates that the IRI model provides a good agreement with the measured values during daytime across all geomagnetic periods.…”

Section: Introductionmentioning

confidence: 95%

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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“…A gap in the amplitude is observed most of the time between in situ measured data and IRI predictions. This testifies to the necessity to improved IRI-2012 model for equatorial region as suggested by many authors (Sawadogo et al, 2019, Guibula et al, 2019. All these variations observed in foF2 profiles can be affected by the presence or absence of electrojet during morning or during afternoon by the solar eruption (Vassal).…”

Section: Conclusion:-supporting

confidence: 55%