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Precursory worldwide signatures of earthquake occurrences on Swarm satellite data

The study of the preparation phase of large earthquakes is essential to understand the physical processes involved, and potentially useful also to develop a future reliable short-term warning system. Here we analyse electron density and magnetic field data measured by Swarm three-satellite constella...

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Autores principales: De Santis, A., Marchetti, D., Pavón-Carrasco, F. J., Cianchini, G., Perrone, L., Abbattista, C., Alfonsi, L., Amoruso, L., Campuzano, S. A., Carbone, M., Cesaroni, C., De Franceschi, G., De Santis, Anna, Di Giovambattista, R., Ippolito, A., Piscini, A., Sabbagh, D., Soldani, M., Santoro, F., Spogli, L., Haagmans, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937265/
https://www.ncbi.nlm.nih.gov/pubmed/31889060
http://dx.doi.org/10.1038/s41598-019-56599-1
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author De Santis, A.
Marchetti, D.
Pavón-Carrasco, F. J.
Cianchini, G.
Perrone, L.
Abbattista, C.
Alfonsi, L.
Amoruso, L.
Campuzano, S. A.
Carbone, M.
Cesaroni, C.
De Franceschi, G.
De Santis, Anna
Di Giovambattista, R.
Ippolito, A.
Piscini, A.
Sabbagh, D.
Soldani, M.
Santoro, F.
Spogli, L.
Haagmans, R.
author_facet De Santis, A.
Marchetti, D.
Pavón-Carrasco, F. J.
Cianchini, G.
Perrone, L.
Abbattista, C.
Alfonsi, L.
Amoruso, L.
Campuzano, S. A.
Carbone, M.
Cesaroni, C.
De Franceschi, G.
De Santis, Anna
Di Giovambattista, R.
Ippolito, A.
Piscini, A.
Sabbagh, D.
Soldani, M.
Santoro, F.
Spogli, L.
Haagmans, R.
author_sort De Santis, A.
collection PubMed
description The study of the preparation phase of large earthquakes is essential to understand the physical processes involved, and potentially useful also to develop a future reliable short-term warning system. Here we analyse electron density and magnetic field data measured by Swarm three-satellite constellation for 4.7 years, to look for possible in-situ ionospheric precursors of large earthquakes to study the interactions between the lithosphere and the above atmosphere and ionosphere, in what is called the Lithosphere-Atmosphere-Ionosphere Coupling (LAIC). We define these anomalies statistically in the whole space-time interval of interest and use a Worldwide Statistical Correlation (WSC) analysis through a superposed epoch approach to study the possible relation with the earthquakes. We find some clear concentrations of electron density and magnetic anomalies from more than two months to some days before the earthquake occurrences. Such anomaly clustering is, in general, statistically significant with respect to homogeneous random simulations, supporting a LAIC during the preparation phase of earthquakes. By investigating different earthquake magnitude ranges, not only do we confirm the well-known Rikitake empirical law between ionospheric anomaly precursor time and earthquake magnitude, but we also give more reliability to the seismic source origin for many of the identified anomalies.
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spelling pubmed-69372652020-01-06 Precursory worldwide signatures of earthquake occurrences on Swarm satellite data De Santis, A. Marchetti, D. Pavón-Carrasco, F. J. Cianchini, G. Perrone, L. Abbattista, C. Alfonsi, L. Amoruso, L. Campuzano, S. A. Carbone, M. Cesaroni, C. De Franceschi, G. De Santis, Anna Di Giovambattista, R. Ippolito, A. Piscini, A. Sabbagh, D. Soldani, M. Santoro, F. Spogli, L. Haagmans, R. Sci Rep Article The study of the preparation phase of large earthquakes is essential to understand the physical processes involved, and potentially useful also to develop a future reliable short-term warning system. Here we analyse electron density and magnetic field data measured by Swarm three-satellite constellation for 4.7 years, to look for possible in-situ ionospheric precursors of large earthquakes to study the interactions between the lithosphere and the above atmosphere and ionosphere, in what is called the Lithosphere-Atmosphere-Ionosphere Coupling (LAIC). We define these anomalies statistically in the whole space-time interval of interest and use a Worldwide Statistical Correlation (WSC) analysis through a superposed epoch approach to study the possible relation with the earthquakes. We find some clear concentrations of electron density and magnetic anomalies from more than two months to some days before the earthquake occurrences. Such anomaly clustering is, in general, statistically significant with respect to homogeneous random simulations, supporting a LAIC during the preparation phase of earthquakes. By investigating different earthquake magnitude ranges, not only do we confirm the well-known Rikitake empirical law between ionospheric anomaly precursor time and earthquake magnitude, but we also give more reliability to the seismic source origin for many of the identified anomalies. Nature Publishing Group UK 2019-12-30 /pmc/articles/PMC6937265/ /pubmed/31889060 http://dx.doi.org/10.1038/s41598-019-56599-1 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
De Santis, A.
Marchetti, D.
Pavón-Carrasco, F. J.
Cianchini, G.
Perrone, L.
Abbattista, C.
Alfonsi, L.
Amoruso, L.
Campuzano, S. A.
Carbone, M.
Cesaroni, C.
De Franceschi, G.
De Santis, Anna
Di Giovambattista, R.
Ippolito, A.
Piscini, A.
Sabbagh, D.
Soldani, M.
Santoro, F.
Spogli, L.
Haagmans, R.
Precursory worldwide signatures of earthquake occurrences on Swarm satellite data
title Precursory worldwide signatures of earthquake occurrences on Swarm satellite data
title_full Precursory worldwide signatures of earthquake occurrences on Swarm satellite data
title_fullStr Precursory worldwide signatures of earthquake occurrences on Swarm satellite data
title_full_unstemmed Precursory worldwide signatures of earthquake occurrences on Swarm satellite data
title_short Precursory worldwide signatures of earthquake occurrences on Swarm satellite data
title_sort precursory worldwide signatures of earthquake occurrences on swarm satellite data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937265/
https://www.ncbi.nlm.nih.gov/pubmed/31889060
http://dx.doi.org/10.1038/s41598-019-56599-1
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