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Global monitoring of ionospheric weather by GIRO and GNSS data fusion

Title: Global monitoring of ionospheric weather by GIRO and GNSS data fusion
Authors: Galkin, Ivan; Fron, Adam; Reinisch, Bodo W.; Hernández Pajares, Manuel; Krankowski, Andrzej; Nava, Bruno; Bilitza, Dieter; Kotulak, Kacper; Flisek, Pawel; Li, Zishen; Wang, Ningbo; Roma Dollase, David; García Rigo, Alberto; Batista, Inez
Contributors: Universitat Politècnica de Catalunya. Departament de Matemàtiques; Universitat Politècnica de Catalunya. IonSAT - Grup de determinació Ionosfèrica i navegació per SAtèl·lit i sistemes Terrestres
Publication Year: 2022
Collection: Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Subject Terms: Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències; Geophysics; Ionosonde; Ionospheric weather; GIRO; GNSS; Geofísica; Classificació AMS::86 Geophysics
Description: Prompt and accurate imaging of the ionosphere is essential to space weather services, given a broad spectrum of applications that rely on ionospherically propagating radio signals. As the 3D spatial extent of the ionosphere is vast and covered only fragmentarily, data fusion is a strong candidate for solving imaging tasks. Data fusion has been used to blend models and observations for the integrated and consistent views of geosystems. In space weather scenarios, low latency of the sensor data availability is one of the strongest requirements that limits the selection of potential datasets for fusion. Since remote plasma sensing instrumentation for ionospheric weather is complex, scarce, and prone to unavoidable data noise, conventional 3D-var assimilative schemas are not optimal. We describe a novel substantially 4D data fusion service based on near-real-time data feeds from Global Ionosphere Radio Observatory (GIRO) and Global Navigation Satellite System (GNSS) called GAMBIT (Global Assimilative Model of the Bottomside Ionosphere with Topside estimate). GAMBIT operates with a few-minute latency, and it releases, among other data products, the anomaly maps of the effective slab thickness (EST) obtained by fusing GIRO and GNSS data. The anomaly EST mapping aids understanding of the vertical plasma restructuring during disturbed conditions ; Peer Reviewed ; Postprint (published version)
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://www.mdpi.com/2073-4433/13/3/371; https://hdl.handle.net/2117/366870
DOI: 10.3390/atmos13030371
Availability: https://hdl.handle.net/2117/366870; https://doi.org/10.3390/atmos13030371
Rights: https://creativecommons.org/licenses/by/4.0/ ; Open Access ; Attribution 4.0 International
Accession Number: edsbas.3FAF9C4D
Database: BASE