Regional model-based computerized ionospheric tomography using GPS measurements: IONOLAB-CIT

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage1075en_US
dc.citation.issueNumber10en_US
dc.citation.spage1062en_US
dc.citation.volumeNumber50en_US
dc.contributor.authorTuna, H.en_US
dc.contributor.authorArıkan, Orhanen_US
dc.contributor.authorArikan, F.en_US
dc.date.accessioned2016-02-08T09:35:20Z
dc.date.available2016-02-08T09:35:20Z
dc.date.issued2015en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractThree-dimensional imaging of the electron density distribution in the ionosphere is a crucial task for investigating the ionospheric effects. Dual-frequency Global Positioning System (GPS) satellite signals can be used to estimate the slant total electron content (STEC) along the propagation path between a GPS satellite and ground-based receiver station. However, the estimated GPS-STEC is very sparse and highly nonuniformly distributed for obtaining reliable 3-D electron density distributions derived from the measurements alone. Standard tomographic reconstruction techniques are not accurate or reliable enough to represent the full complexity of variable ionosphere. On the other hand, model-based electron density distributions are produced according to the general trends of ionosphere, and these distributions do not agree with measurements, especially for geomagnetically active hours. In this study, a regional 3-D electron density distribution reconstruction method, namely, IONOLAB-CIT, is proposed to assimilate GPS-STEC into physical ionospheric models. The proposed method is based on an iterative optimization framework that tracks the deviations from the ionospheric model in terms of F2 layer critical frequency and maximum ionization height resulting from the comparison of International Reference Ionosphere extended to Plasmasphere (IRI-Plas) model-generated STEC and GPS-STEC. The suggested tomography algorithm is applied successfully for the reconstruction of electron density profiles over Turkey, during quiet and disturbed hours of ionosphere using Turkish National Permanent GPS Network.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T09:35:20Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2015en
dc.identifier.doi10.1002/2015RS005744en_US
dc.identifier.issn0048-6604
dc.identifier.urihttp://hdl.handle.net/11693/20792
dc.language.isoEnglishen_US
dc.publisherWiley-Blackwell Publishing, Inc.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/2015RS005744en_US
dc.source.titleRadio Scienceen_US
dc.subject3-D ionospheric tomographyen_US
dc.subjectCarrier concentrationen_US
dc.subjectComplex networksen_US
dc.subjectElectron density measurementen_US
dc.subjectElectronic density of statesen_US
dc.subjectElectronsen_US
dc.subjectGlobal positioning systemen_US
dc.subjectIonosphereen_US
dc.subjectIonospheric measurementen_US
dc.subjectIterative methodsen_US
dc.subjectMagnetosphereen_US
dc.subjectTomographyen_US
dc.subjectTracking (position)en_US
dc.subjectElectron density profilesen_US
dc.subjectGPS TECen_US
dc.subjectInternational reference ionospheresen_US
dc.subjectIONOLAB-CITen_US
dc.subjectIonospheric tomographyen_US
dc.subjectIRI-Plasen_US
dc.subjectThree dimensional imagingen_US
dc.subjectTomographic reconstruction techniquesen_US
dc.subjectThree dimensional computer graphicsen_US
dc.titleRegional model-based computerized ionospheric tomography using GPS measurements: IONOLAB-CITen_US
dc.typeArticleen_US

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