Calculation of the Ionospheric Cross-Section with the Incoherent Scattering Radar and Its Comparison with the Predictions of the IRI Model

dc.authorwosidEmelyanov, Leonid/AAK-4056-2021
dc.contributor.authorYasar, Mehmet
dc.contributor.authorSagir, Selcuk
dc.contributor.authorEmelyanov, Leonid Ya.
dc.contributor.authorLyashenko, Mykhaylo V.
dc.contributor.authorKorlaelci, Serhat
dc.contributor.authorAtici, Ramazan
dc.date.accessioned2023-11-10T21:09:53Z
dc.date.available2023-11-10T21:09:53Z
dc.date.issued2023
dc.departmentMAÜNen_US
dc.description.abstractThe ionosphere is an atmospheric region in which a large number of charged particles interact. Therefore, the production and loss mechanisms in this region play an important role in the modeling and interpretation of the ionosphere. In this study, the cross-section (CS) values, calculated by kinetic theory, were used to validate the International Reference Ionosphere (IRI) model at four different heights (210 km, 240 km, 340 km, and 410 km) on the equinox (March and September) and solstice (June and December) days in 2008 and 2015. The CS values were obtained by using both the temperatures of ions and electrons predicted in the IRI 2007, 2012, and 2016 versions, and the temperatures measured by the Kharkiv incoherent scatter radar (ISR). As a result of the calculation, the CS values in the solar minimum year (in 2008) were greater than those with moderate solar activity in the solar declining phase year (in 2015). The three versions of IRI show almost the same value in 2008. While these values are consistent with the values obtained from the ISR during the day, they are quite low at night. Validation of the model was carried out using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) metrics. According to RMSE and MAPE values, it can be said that the predictions of all three versions of the IRI model are quite good. It can also be stated that the estimations of IRI-2016 are generally better than those of other versions of the IRI model. However, it is important to use ISR data to improve estimations of models at lower altitudes.en_US
dc.description.sponsorshipMus Alparslan Universityen_US
dc.description.sponsorshipWe thank the IRI model group for electron and ion temperature values. We also thank Mus Alparslan University for their support of this study.en_US
dc.identifier.doi10.1007/s11277-023-10619-6
dc.identifier.endpage503en_US
dc.identifier.issn0929-6212
dc.identifier.issn1572-834X
dc.identifier.issue1en_US
dc.identifier.orcid0000-0002-2117-2675
dc.identifier.scopus2-s2.0-85165266247
dc.identifier.scopusqualityQ2
dc.identifier.startpage487en_US
dc.identifier.urihttps://doi.org/10.1007/s11277-023-10619-6
dc.identifier.urihttps://hdl.handle.net/20.500.12639/5317
dc.identifier.volume132en_US
dc.identifier.wosWOS:001032591300003
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringeren_US
dc.relation.ispartofWireless Personal Communicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCross-Sectionen_US
dc.subjectIri Modelen_US
dc.subjectIonosphereen_US
dc.subjectIncoherent Scatter Radaren_US
dc.titleCalculation of the Ionospheric Cross-Section with the Incoherent Scattering Radar and Its Comparison with the Predictions of the IRI Modelen_US
dc.typeArticle

Dosyalar

Orijinal paket

Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
5317.pdf
Boyut:
3.13 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text