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dc.contributor.authorSsessanga, Nicholasen
dc.contributor.authorYamamoto, Mamoruen
dc.contributor.authorSaito, Susumuen
dc.contributor.authorSaito, Akinorien
dc.contributor.authorNishioka, Michien
dc.contributor.alternative山本, 衛ja
dc.contributor.alternative齊藤, 昭則ja
dc.date.accessioned2022-09-09T04:16:56Z-
dc.date.available2022-09-09T04:16:56Z-
dc.date.issued2021-07-
dc.identifier.urihttp://hdl.handle.net/2433/276218-
dc.description.abstractA near-real-time computerized ionospheric tomography (CIT) technique was developed over the East Asian sector to specify the 3-D electron density field. The technique is based on a plethora of Global Navigation Satellite System observables within the region of interest which is bounded horizontally 110°–160°E and 10°–60°N and extending from 80 to 25, 000 km in altitude. Prior to deployment, studies validated the CIT results using ionosonde, middle-upper atmosphere radar and occultation data and found the technique to adequately reconstruct the regional ionosphere vertical structure. However, with room for improvement in estimating the peak height and avoiding physically unrealistic negative densities in the final solution, we present preliminary results from a technique that addresses these issues by incorporating CIT results into a data assimilation (DA) technique. The DA technique adds ionosonde bottomside measurements into CIT results, thereby improving the accuracy of the reconstructed bottomside 3-D structure. More specifically, on average CIT NmF2 and hmF2 improve by more than 60%. Further, during analysis, ionospheric electron densities are assumed to be better described by probability log-normal distribution, which introduces the positivity constraint that is mandatory in ionospheric imaging.en
dc.language.isoeng-
dc.publisherSpringer Natureen
dc.rights© The Author(s) 2021en
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subject3-D regional ionosphere modelingen
dc.subjectGround-GNSS-STEC tomographyen
dc.subjectIonosonde data assimilationen
dc.titleComplementing regional ground GNSS-STEC computerized ionospheric tomography (CIT) with ionosonde data assimilationen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleGPS Solutionsen
dc.identifier.volume25-
dc.identifier.issue3-
dc.relation.doi10.1007/s10291-021-01133-y-
dc.textversionpublisher-
dc.identifier.artnum93-
dcterms.accessRightsopen access-
datacite.awardNumber19F19031-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-19F19031/-
dc.identifier.pissn1080-5370-
dc.identifier.eissn1521-1886-
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle4次元トモグラフィーによる低・中緯度電離圏イレギュラリティの解明ja
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