Open AccessfoF2 Seasonal Prediction With IRI-2016 Over Quiet Activity at Dakar Station
Author(s) -
Sibri Alphonse Sandwidi,
Christian Zoundi,
Doua Allain Gnabahou,
Frédéric Ouattara
Publication year - 2021
Publication title -
applied physics research
Language(s) - English
Resource type - Journals
eISSN - 1916-9647
pISSN - 1916-9639
DOI - 10.5539/apr.v13n3p1
Subject(s) - quiet , ionosphere , environmental science , atmospheric sciences , crest , equatorial electrojet , anomaly (physics) , electrojet , meteorology , international reference ionosphere , climatology , physics , geology , earth's magnetic field , quantum mechanics , astronomy , magnetic field , condensed matter physics , total electron content , tec
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.