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Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time
Earthquakes are known to generate ionospheric disturbances that are commonly referred to as co-seismic travelling ionospheric disturbances (CTID). In this work, for the first time, we present a novel method that enables to automatically detect CTID in ionospheric GNSS-data, and to determine their sp...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531289/ https://www.ncbi.nlm.nih.gov/pubmed/34675366 http://dx.doi.org/10.1038/s41598-021-99906-5 |
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author | Maletckii, Boris Astafyeva, Elvira |
author_facet | Maletckii, Boris Astafyeva, Elvira |
author_sort | Maletckii, Boris |
collection | PubMed |
description | Earthquakes are known to generate ionospheric disturbances that are commonly referred to as co-seismic travelling ionospheric disturbances (CTID). In this work, for the first time, we present a novel method that enables to automatically detect CTID in ionospheric GNSS-data, and to determine their spatio-temporal characteristics (velocity and azimuth of propagation) in near-real time (NRT), i.e., less than 15 min after an earthquake. The obtained instantaneous velocities allow us to understand the evolution of CTID and to estimate the location of the CTID source in NRT. Furthermore, also for the first time, we developed a concept of real-time travel-time diagrams that aid to verify the correlation with the source and to estimate additionally the propagation speed of the observed CTID. We apply our methods to the Mw7.4 Sanriku earthquake of 09/03/2011 and the Mw9.0 Tohoku earthquake of 11/03/2011, and we make a NRT analysis of the dynamics of CTID driven by these seismic events. We show that the best results are achieved with high-rate 1 Hz data. While the first tests are made on CTID, our method is also applicable for detection and determining of spatio-temporal characteristics of other travelling ionospheric disturbances that often occur in the ionosphere driven by many geophysical phenomena. |
format | Online Article Text |
id | pubmed-8531289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85312892021-10-22 Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time Maletckii, Boris Astafyeva, Elvira Sci Rep Article Earthquakes are known to generate ionospheric disturbances that are commonly referred to as co-seismic travelling ionospheric disturbances (CTID). In this work, for the first time, we present a novel method that enables to automatically detect CTID in ionospheric GNSS-data, and to determine their spatio-temporal characteristics (velocity and azimuth of propagation) in near-real time (NRT), i.e., less than 15 min after an earthquake. The obtained instantaneous velocities allow us to understand the evolution of CTID and to estimate the location of the CTID source in NRT. Furthermore, also for the first time, we developed a concept of real-time travel-time diagrams that aid to verify the correlation with the source and to estimate additionally the propagation speed of the observed CTID. We apply our methods to the Mw7.4 Sanriku earthquake of 09/03/2011 and the Mw9.0 Tohoku earthquake of 11/03/2011, and we make a NRT analysis of the dynamics of CTID driven by these seismic events. We show that the best results are achieved with high-rate 1 Hz data. While the first tests are made on CTID, our method is also applicable for detection and determining of spatio-temporal characteristics of other travelling ionospheric disturbances that often occur in the ionosphere driven by many geophysical phenomena. Nature Publishing Group UK 2021-10-21 /pmc/articles/PMC8531289/ /pubmed/34675366 http://dx.doi.org/10.1038/s41598-021-99906-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Maletckii, Boris Astafyeva, Elvira Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time |
title | Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time |
title_full | Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time |
title_fullStr | Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time |
title_full_unstemmed | Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time |
title_short | Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time |
title_sort | determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (ctid) in near real-time |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531289/ https://www.ncbi.nlm.nih.gov/pubmed/34675366 http://dx.doi.org/10.1038/s41598-021-99906-5 |
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