Analysis of global TEC prediction performance of IRI-PLAS model
dc.contributor.author | Alcay, Salih | |
dc.contributor.author | Oztan, Gurkan | |
dc.date.accessioned | 2024-02-23T14:02:11Z | |
dc.date.available | 2024-02-23T14:02:11Z | |
dc.date.issued | 2019 | |
dc.department | NEÜ | en_US |
dc.description.abstract | The International Reference Ionosphere (IRI) empirical model provides valuable data for many fields including space and navigation applications. Since the IRI model gives the ionospheric parameters in the altitude range from 50 km to 2000 km, researchers focused on the IRI-PLAS model which is the plasmasphere extension of the IRI model. In this study, Total Electron Content (TEC) prediction performance of the IRI-PLAS model was examined at a global scale using the location of globally distributed 9 IGS stations. Besides the long term (01.01.2015-31.12.2015) behavior of the model, TEC predictions during the equinox and solstice days of 2014-2017 were also tested. IRI-PLAS-TEC values were examined in comparison with GPS-TEC data. Hourly interval of yearly profile exhibits that when the geomagnetic and solar active days are ignored, differences between IRI-PLAS-TEC and GPS-TEC are rather small (similar to 2-3 TECU) at stations in the northern hemisphere, generally similar to 4-5 TECU level at the southern hemisphere stations and reaching above 10 TECU for few hours. While the IRI-PLAS-TEC generally overestimates the GPS-TEC at southern hemisphere stations during quiet days, the model-derived TEC underestimates GPS-TEC during solar active days. IRI-PLAS-TEC and GPS-TEC values exhibit similar trend for the equinoxes 21 March and 23 September which refer equivalent conditions. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved. | en_US |
dc.identifier.doi | 10.1016/j.asr.2019.02.002 | |
dc.identifier.endpage | 3212 | en_US |
dc.identifier.issn | 0273-1177 | |
dc.identifier.issn | 1879-1948 | |
dc.identifier.issue | 10 | en_US |
dc.identifier.scopus | 2-s2.0-85061385898 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.startpage | 3200 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.asr.2019.02.002 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12452/11624 | |
dc.identifier.volume | 63 | en_US |
dc.identifier.wos | WOS:000467513600011 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Sci Ltd | en_US |
dc.relation.ispartof | Advances In Space Research | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Gps | en_US |
dc.subject | Igs | en_US |
dc.subject | Iri-Plas | en_US |
dc.subject | Tec | en_US |
dc.subject | Tecu | en_US |
dc.title | Analysis of global TEC prediction performance of IRI-PLAS model | en_US |
dc.type | Article | en_US |