Storm time IRI-Plas model forecast for an African equatorial station

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dc.contributor.authorAdebiyi SJ
dc.contributor.authorIkubanni SO
dc.contributor.authorAdebesin BO
dc.contributor.authorAdeniyi JO
dc.contributor.authorJoshua BW
dc.contributor.authorAdimula IA
dc.contributor.authorOladipo OA
dc.contributor.authorOlawepo AO
dc.contributor.authorAdekoya BJ
dc.date.accessioned2022-07-26T11:50:21Z
dc.date.available2022-07-26T11:50:21Z
dc.date.issued2019
dc.descriptionHeliyon
dc.description.abstractThe limitation of ionospheric models in describing short-term ionospheric events has led to the development of data assimilative models e.g. the International Reference Ionosphere extended to Plasmasphere (IRI-Plas) model. This paper compares the IRI-Plas derived total electron content (TEC), the peak height (hmF2) and critical frequency (foF2) of the F2-layer with those obtained from Global Positioning System (GPS) receiver's and Digisonde Precision Sounder (DPS-4) measurements over Ilorin (Geog. Lat. 8.50oN; Long. 4.50oE, dip: – 7.9o) during geomagnetic storm days. The model estimation was done by assimilation of Ionosonde foF2 and TEC derived from GPS (GPS-TEC) and Global Ionospheric Map (GIM-TEC) into the model code. In order to study the effect of data assimilation on the model's representation, the “no input” option of the model was used as reference. The result shows that with the exception of the foF2 assimilation mode, all the options generally reproduced TEC quite well for all the storm days considered. Overall, the model adjusted with GPS-TEC gives the best prediction of TEC as it reduced the prediction error of TEC by a multiple of up to three compared to using the GIM-TEC. Also, all the options failed to reproduce the storm induced prominent features in the storm-time features of foF2 and hmF2. In other word, assimilation with the TEC does not generally improve the storm-time predictions of foF2 and hmF2 at the station. Consequently, for storm-time estimation of the F2-layer peak parameters, the ‘no input’ representation of the model is more valid at this station.
dc.identifier.citation10.1016/j.heliyon.2019.e01844
dc.identifier.issn2405-8440
dc.identifier.urihttps://nerd.ethesis.ng/handle/123456789/281
dc.language.isoen
dc.subjectPlasma physics
dc.subjectAtmospheric science
dc.subjectTEC
dc.subjectIRI-Plas model
dc.subjectModel assimilation
dc.subjectGeomagnetic storm
dc.subjectEquatorial ionosphere
dc.subjectfoF2
dc.titleStorm time IRI-Plas model forecast for an African equatorial station
dc.typeArticle
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