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GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation

Global Navigation Satellite System (GNSS) is used in seismology to study the ground displacements as well as to monitor the ionospheric total electron content (TEC) perturbations following seismic events. The aim of this work is to combine these two observations in one real-time method based on the...

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Autores principales: Ravanelli, Michela, Occhipinti, Giovanni, Savastano, Giorgio, Komjathy, Attila, Shume, Esayas B., Crespi, Mattia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862306/
https://www.ncbi.nlm.nih.gov/pubmed/33542366
http://dx.doi.org/10.1038/s41598-021-82532-6
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author Ravanelli, Michela
Occhipinti, Giovanni
Savastano, Giorgio
Komjathy, Attila
Shume, Esayas B.
Crespi, Mattia
author_facet Ravanelli, Michela
Occhipinti, Giovanni
Savastano, Giorgio
Komjathy, Attila
Shume, Esayas B.
Crespi, Mattia
author_sort Ravanelli, Michela
collection PubMed
description Global Navigation Satellite System (GNSS) is used in seismology to study the ground displacements as well as to monitor the ionospheric total electron content (TEC) perturbations following seismic events. The aim of this work is to combine these two observations in one real-time method based on the Total Variometric Approach (TVA) to include the GNSS real-time data stream in future warning systems and tsunami genesis estimation observing both, ground motion and TEC. Our TVA couples together the Variometric Approach for Displacement Analysis Stand-alone Engine (VADASE) with the Variometric Approach for Real-Time Ionosphere Observation (VARION) algorithms. We apply the TVA to the Mw 8.3 Illapel earthquake, that occurred in Chile on September 16, 2015, and we demonstrate the coherence of the earthquake ground shaking and the TEC perturbation by using the same GNSS data stream in a real-time scenario. Nominally, we also highlight a stronger kinetic energy released in the north of the epicenter and visible in both, the ground motion and the TEC perturbation detect at 30 s and around 9.5 min after the rupture respectively. The high spatial resolution of ionospheric TEC measurement seems to match with the extent of the seismic source. The GNSS data stream by TVA of both the ground and ionospheric measurement opens today new perspectives to real-time warning systems for tsunami genesis estimation.
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spelling pubmed-78623062021-02-05 GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation Ravanelli, Michela Occhipinti, Giovanni Savastano, Giorgio Komjathy, Attila Shume, Esayas B. Crespi, Mattia Sci Rep Article Global Navigation Satellite System (GNSS) is used in seismology to study the ground displacements as well as to monitor the ionospheric total electron content (TEC) perturbations following seismic events. The aim of this work is to combine these two observations in one real-time method based on the Total Variometric Approach (TVA) to include the GNSS real-time data stream in future warning systems and tsunami genesis estimation observing both, ground motion and TEC. Our TVA couples together the Variometric Approach for Displacement Analysis Stand-alone Engine (VADASE) with the Variometric Approach for Real-Time Ionosphere Observation (VARION) algorithms. We apply the TVA to the Mw 8.3 Illapel earthquake, that occurred in Chile on September 16, 2015, and we demonstrate the coherence of the earthquake ground shaking and the TEC perturbation by using the same GNSS data stream in a real-time scenario. Nominally, we also highlight a stronger kinetic energy released in the north of the epicenter and visible in both, the ground motion and the TEC perturbation detect at 30 s and around 9.5 min after the rupture respectively. The high spatial resolution of ionospheric TEC measurement seems to match with the extent of the seismic source. The GNSS data stream by TVA of both the ground and ionospheric measurement opens today new perspectives to real-time warning systems for tsunami genesis estimation. Nature Publishing Group UK 2021-02-04 /pmc/articles/PMC7862306/ /pubmed/33542366 http://dx.doi.org/10.1038/s41598-021-82532-6 Text en © The Author(s) 2021 Open AccessThis 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. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ravanelli, Michela
Occhipinti, Giovanni
Savastano, Giorgio
Komjathy, Attila
Shume, Esayas B.
Crespi, Mattia
GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation
title GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation
title_full GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation
title_fullStr GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation
title_full_unstemmed GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation
title_short GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation
title_sort gnss total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862306/
https://www.ncbi.nlm.nih.gov/pubmed/33542366
http://dx.doi.org/10.1038/s41598-021-82532-6
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