| Title: |
Systematic detection of anomalous ionospheric perturbations above LEOs from GNSS POD Data including possible tsunami signatures |
| Authors: |
Yang, Heng; Hernández Pajares, Manuel; Jarmolowski, Wojciech; Wielgosz, Pawel; Vadas, Sharon L.; Colombo, Oscar L.; Monte Moreno, Enrique; García Rigo, Alberto; Graffigna, Victoria; Krypiak-Gregorczyk, Anna; Milanowska, Beata; Bofill Soliguer, Pablo; Olivares Pulido, Germán; Liu, Qi; Haagmans, Roger |
| Contributors: |
Universitat Politècnica de Catalunya. Departament de Matemàtiques; Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. IonSAT - Grup de determinació Ionosfèrica i navegació per SAtèl·lit i sistemes Terrestres; Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla; Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
| Publisher Information: |
Institute of Electrical and Electronics Engineers (IEEE) |
| 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; Global navigation satellite system (GNSS); Ionospheric indicator of earthquake/tsunami; Low Earth orbit satellite; Geofísica; Classificació AMS::86 Geophysics |
| Description: |
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. ; In this article, we show the capability of a global navigation satellite system (GNSS) precise orbit determination (POD) low Earth orbit (LEO) data to detect anomalous ionospheric disturbances in the spectral range of the signals associated with earthquakes and tsunamis, applied to two of these events in Papua New Guinea (PNG) and the Solomon Islands during 2016. This is achieved thanks to the new PIES approach (POD-GNSS LEO Detrended Ionospheric Electron Content Significant Deviations). The significance of such ionospheric signals above the swarm LEOs is confirmed with different types of independent data: in situ electron density measurements provided by the Langmuir Probe (LP) onboard swarm LEOs, DORIS, and ground-based GNSS colocated measurements, as it is described in this article. In this way, we conclude the possible detection of the tsunami-related ionospheric gravity wave in PNG 2016 event, consistent with the most-recent theory, which shows that a tsunami (which is localized in space and time) excites a spectrum of gravity waves, some of which have faster horizontal phase speeds than the tsunami. We believe that this work shows as well the feasibility of a future potential monitoring system of ionospheric disturbances, to be made possible by hundreds of CubeSats with POD GNSS receivers among other appropriate sensors, and supported for real-time or near real-time confirmation and characterization by thousands of worldwide existing ground GNSS receivers. ; This work has been partially supported by the COSTO ESA-funded project (ESA ITT AO/1-9514/18/NL/IA). Also it was partially supported by the 2017 SGR-0851 grant of the ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://ieeexplore.ieee.org/document/9795155; info:eu-repo/grantAgreement/EC/H2020/101007599/EU/Plasmasphere Ionosphere Thermosphere Integrated Research Environment and Access services: a Network of Research Facilities/PITHIA-NRF; Yang, H. [et al.]. Systematic detection of anomalous ionospheric perturbations above LEOs from GNSS POD Data including possible tsunami signatures. "IEEE transactions on geoscience and remote sensing", 13 Juny 2022, vol. 60, núm. 5803423.; https://hdl.handle.net/2117/369717 |
| DOI: |
10.1109/TGRS.2022.3182885 |
| Availability: |
https://hdl.handle.net/2117/369717; https://doi.org/10.1109/TGRS.2022.3182885 |
| Rights: |
https://creativecommons.org/licenses/by-nc-nd/4.0/ ; Open Access ; Attribution-NonCommercial-NoDerivs 4.0 International |
| Accession Number: |
edsbas.A4AEF903 |
| Database: |
BASE |