Towards cooperative global mapping of the ionosphere: fusion feasibility for igs and iri with global climate vtec maps

dc.contributor.authorFron, Adam
dc.contributor.authorKrankowski, Andrzej
dc.contributor.authorGalkin, Ivan
dc.contributor.authorBilitza, D.
dc.contributor.authorHernández Pajares, Manuel
dc.contributor.authorReinisch, Bodo W.
dc.contributor.authorLi, Zishen
dc.contributor.authorKotulak, Kacper
dc.contributor.authorZakharenkova, I.
dc.contributor.authorCherniak, Iurii
dc.contributor.authorRoma Dollase, David
dc.contributor.authorWang, Ningbo
dc.contributor.authorFlisek, Pawel
dc.contributor.authorGarcía Rigo, Alberto
dc.contributor.groupUniversitat Politècnica de Catalunya. IonSAT - Grup de determinació Ionosfèrica i navegació per SAtèl·lit i sistemes Terrestres
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Ciència i Tecnologia Aeroespacials
dc.date.accessioned2021-03-03T10:29:05Z
dc.date.available2021-03-03T10:29:05Z
dc.date.issued2020-11-01
dc.description.abstractRecommendations of the International Reference Ionosphere (IRI) Workshop 2017 in Taoyuan City, Taiwan and International GNSS Service (IGS) Workshop 2018 in Wuhan, China included establishment of an ionosphere mapping service that would fuse measurements from two independent sensor networks: IGS permanent GNSS receivers providing the vertical total electron content (VTEC) measurements and ionosondes of the Global Ionosphere Radio Observatory (GIRO) that compute the bottomside vertical profiles of the ionospheric plasma density. Using available GAMBIT software at GIRO, we introduced new VTEC products to its data roster: previously unavailable global average (climate) maps of VTEC and slab thickness based on climatological capabilities of IRI. Incorporation of the VTEC and t maps into the GAMBIT Explorer environment provided data analysts with nearly 10-year history of the reference average VTEC records and opened access to the GAMBIT toolkit for evaluation and validation of the t computations. This result is the first step towards establishing an infrastructure and the data workflow to provide GAMBIT users with the low latency and consistent quality and usability of the ionospheric weather-climate specifications. Combination of IGS-provided VTEC and GIRO-provided peak density of F2 layer NmF2 allows ground-based evaluation of the equivalent slab thickness t, a derived property of the near-Earth plasma that characterizes the skewness of its vertical profile up to the GNSS spacecraft altitudes.
dc.description.peerreviewedPeer Reviewed
dc.description.versionPostprint (published version)
dc.identifier.citationFron, A. [et al.]. Towards cooperative global mapping of the ionosphere: fusion feasibility for igs and iri with global climate vtec maps. "Remote sensing", 1 Novembre 2020, vol. 12, núm. 21, p. 3531:1-3531:
dc.identifier.doi10.3390/rs12213531
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/2117/340813
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.publisherversionhttps://www.mdpi.com/2072-4292/12/21/3531
dc.rights.accessOpen Access
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subject.amsClassificació AMS::85 Astronomy and astrophysics
dc.subject.lcshAstronomy and astrophysics
dc.subject.lemacAstrofísica
dc.subject.otherIGS
dc.subject.otherGIRO
dc.subject.otherIRI
dc.subject.otherionosphere
dc.subject.otherVTEC
dc.subject.otherNmF2
dc.subject.otherslab thickness
dc.titleTowards cooperative global mapping of the ionosphere: fusion feasibility for igs and iri with global climate vtec maps
dc.typeArticle
dspace.entity.typePublication
local.citation.authorFron, A.; Krankowski, A.; Galkin, I.; Bilitza, D.; Hernandez, M.; B.W, Reinisch.; Li, Z.; Kotulak, K.; Zakharenkova, I.; Cherniak, I.; Roma, D.; Wang, N.; Flisek, P.; García, A.
local.citation.endingPage3531:
local.citation.number21
local.citation.publicationNameRemote sensing
local.citation.startingPage3531:1
local.citation.volume12
local.identifier.drac30432951

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