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Global-Scale Ionospheric Tomography During the 17 March 2015 Geomagnetic Storm

Prol, Fabricio und Kodikara, Timothy und Hoque, Mohammed Mainul und Borries, Claudia (2021) Global-Scale Ionospheric Tomography During the 17 March 2015 Geomagnetic Storm. Space Weather. Wiley. doi: 10.1029/2021SW002889. ISSN 1542-7390.

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Offizielle URL: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021SW002889

Kurzfassung

The correct representation of global-scale electron density is crucial for monitoring and exploring the space weather. This study investigates whether the ground-based Global Navigation Satellite System (GNSS) tomography can be used to reflect the global spatial and temporal responses of the ionosphere under storm conditions. A global tomography of the ionosphere electron density is constructed based on data from over 2700 GNSS stations. In comparison to previous techniques, advances are made in spatial and temporal resolution, and in the assessment of results. To demonstrate the capabilities of the approach, the developed method is applied to the 17 March 2015 geomagnetic storm. The tomographic reconstructions show good agreement with electron density observations from worldwide ionosondes, Millstone Hill incoherent scatter radar and in-situ measurements from satellite missions. Also, the results show that the tomographic technique is capable of reproducing plasma variabilities during geomagnetically disturbed periods including features such as equatorial ionization anomaly enhancements and depletion. Validation results of this brief study period show that the accuracy of our tomography is better than the Neustrelitz Electron Density Model, which is the model used as background, and physics-based thermosphere-ionosphere-electrodynamics general circulation model. The results show that our tomography approach allows us to specify the global electron density from ground to approximately 900 km accurately. Given the demonstrated quality, this global electron density reconstruction has potential for improving applications such as assessment of the effects of the electron density on radio signals, GNSS positioning, computation of ray tracing for radio-signal transmission, and space weather monitoring.

elib-URL des Eintrags:https://elib.dlr.de/145580/
Dokumentart:Zeitschriftenbeitrag
Zusätzliche Informationen:This work was funded by the Deutsche Forschungsgemeinschaft (DFG) under the grant no. HO 6136/1-1 and by the ‘Helmholtz Pilot Projects Information & Data Science II’ (grant support from the Initiative and Networking Fund of the Hermann von Helmholtz-Association Deutscher Forschungszentren e.V. (ZT-I-0022)) with the project named ‘MAchine learning based Plasma density model’ (MAP).
Titel:Global-Scale Ionospheric Tomography During the 17 March 2015 Geomagnetic Storm
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Prol, FabricioFabricio.DosSantosProl (at) dlr.dehttps://orcid.org/0000-0002-7206-1705NICHT SPEZIFIZIERT
Kodikara, TimothyTimothy.Kodikara (at) dlr.dehttps://orcid.org/0000-0003-4099-9966NICHT SPEZIFIZIERT
Hoque, Mohammed MainulMainul.Hoque (at) dlr.dehttps://orcid.org/0000-0001-5134-4901NICHT SPEZIFIZIERT
Borries, Claudiaclaudia.borries (at) dlr.dehttps://orcid.org/0000-0001-9948-3353NICHT SPEZIFIZIERT
Datum:9 November 2021
Erschienen in:Space Weather
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI:10.1029/2021SW002889
Verlag:Wiley
ISSN:1542-7390
Status:veröffentlicht
Stichwörter:ionosphere, GNSS tomography, Neustrelitz Electron Density Model, tie-gcm, St Patrick's day storm
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Solar-Terrestrische Physik SO, R - Projekt Weltraumwetterforschung, R - Ionosphäre
Standort: Neustrelitz
Institute & Einrichtungen:Institut für Solar-Terrestrische Physik
Hinterlegt von: Kodikara, Dr Timothy
Hinterlegt am:15 Nov 2021 11:56
Letzte Änderung:18 Okt 2023 08:17

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