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

Adebiyi, S.J. and Ikubanni, S.O. and Adebesin, B.O. and Adeniyi, J.O. and Joshua, B.W. and Adimula, I.A. and Oladipo, O.A. and Olawepo, A.O. and Adekoya, B. J. (2019) Storm time IRI-Plas model forecast for an African equatorial station. Heliyon, 5 (6). ISSN 2405-8440

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Abstract

The limitation of ionospheric models in describing short-term ionospheric events has led to the development ofdata 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 fre-quency (foF2) of the F2-layer with those obtained from Global Positioning System (GPS) receiver's and DigisondePrecision Sounder (DPS-4) measurements over Ilorin (Geog. Lat. 8.50oN; Long. 4.50oE, dip:–7.9o) duringgeomagnetic storm days. The model estimation was done by assimilation of Ionosonde foF2 and TEC derived fromGPS (GPS-TEC) and Global Ionospheric Map (GIM-TEC) into the model code. In order to study the effect of dataassimilation on the model's representation, the“no input”option of the model was used as reference. The resultshows that with the exception of the foF2 assimilation mode, all the options generally reproduced TEC quite wellfor all the storm days considered. Overall, the model adjusted with GPS-TEC gives the best prediction of TEC as itreduced the prediction error of TEC by a multiple of up to three compared to using the GIM-TEC. Also, all theoptions failed to reproduce the storm induced prominent features in the storm-time features of foF2 and hmF2. Inother word, assimilation with the TEC does not generally improve the storm-time predictions of foF2 and hmF2 atthe station. Consequently, for storm-time estimation of the F2-layer peak parameters, the‘no input’representationof the model is more valid at this station.

Item Type:	Article
Subjects:	Q Science > QC Physics
Depositing User:	Mr DIGITAL CONTENT CREATOR LMU
Date Deposited:	20 Sep 2019 10:18
Last Modified:	20 Sep 2019 10:18
URI:	https://eprints.lmu.edu.ng/id/eprint/2315

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