Model based computerized ionospheric tomography in space and time
buir.contributor.author | Arıkan, Orhan | |
buir.contributor.orcid | Arıkan, Orhan|0000-0002-3698-8888 | |
dc.citation.epage | 2073 | en_US |
dc.citation.issueNumber | 8 | en_US |
dc.citation.spage | 2057 | en_US |
dc.citation.volumeNumber | 61 | en_US |
dc.contributor.author | Tuna, H. | en_US |
dc.contributor.author | Arıkan, Orhan | en_US |
dc.contributor.author | Arikan, F. | en_US |
dc.date.accessioned | 2019-02-21T16:01:23Z | |
dc.date.available | 2019-02-21T16:01:23Z | |
dc.date.issued | 2018 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description.abstract | Reconstruction of the ionospheric electron density distribution in space and time not only provide basis for better understanding the physical nature of the ionosphere, but also provide improvements in various applications including HF communication. Recently developed IONOLAB-CIT technique provides physically admissible 3D model of the ionosphere by using both Slant Total Electron Content (STEC) measurements obtained from a GPS satellite - receiver network and IRI-Plas model. IONOLAB-CIT technique optimizes IRI-Plas model parameters in the region of interest such that the synthetic STEC computations obtained from the IRI-Plas model are in accordance with the actual STEC measurements. In this work, the IONOLAB-CIT technique is extended to provide reconstructions both in space and time. This extension exploits the temporal continuity of the ionosphere to provide more reliable reconstructions with a reduced computational load. The proposed 4D-IONOLAB-CIT technique is validated on real measurement data obtained from TNPGN-Active GPS receiver network in Turkey. | |
dc.description.provenance | Made available in DSpace on 2019-02-21T16:01:23Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018 | en |
dc.description.sponsorship | TNPGN RINEX data set is made available to IONOLAB group for TUBITAK109E055 project at http://www.ionolab.org/ . This data set can be accessed by the permission from TUBITAK and General Command of Mapping of Turkish Army ( http://www.hgk.msb.gov.tr/ ). This study is supported by TUBITAK EEEAG 115E915 and Joint TUBITAK EEEAG 114E092 and AS CR 14/001 grants. | |
dc.embargo.release | 2020-04-15 | en_US |
dc.identifier.doi | 10.1016/j.asr.2018.01.031 | |
dc.identifier.issn | 0273-1177 | |
dc.identifier.uri | http://hdl.handle.net/11693/49838 | |
dc.language.iso | English | |
dc.publisher | Elsevier | |
dc.relation.isversionof | https://doi.org/10.1016/j.asr.2018.01.031 | |
dc.relation.project | EEEAG 115E915 - EEEAG 114E092 - AS CR 14/001 | |
dc.source.title | Advances in Space Research | en_US |
dc.subject | GPS-STEC measurements | en_US |
dc.subject | Ionospheric tomography | en_US |
dc.subject | IRI-Plas model | en_US |
dc.subject | Kalman smoothing | en_US |
dc.title | Model based computerized ionospheric tomography in space and time | en_US |
dc.type | Article | en_US |
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