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The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina
Silicic magmatic systems are the most dangerous volcanoes on Earth, capable of large and catastrophic eruptions, yet their low eruptive frequency makes it challenging to interpret their short-term unrest. Here we present a decade-plus analysis that integrates, for the first time, time series of sate...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363862/ https://www.ncbi.nlm.nih.gov/pubmed/32669561 http://dx.doi.org/10.1038/s41598-020-67982-8 |
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author | Lundgren, Paul Girona, Társilo Bato, Mary Grace Realmuto, Vincent J. Samsonov, Sergey Cardona, Carlos Franco, Luis Gurrola, Eric Aivazis, Michael |
author_facet | Lundgren, Paul Girona, Társilo Bato, Mary Grace Realmuto, Vincent J. Samsonov, Sergey Cardona, Carlos Franco, Luis Gurrola, Eric Aivazis, Michael |
author_sort | Lundgren, Paul |
collection | PubMed |
description | Silicic magmatic systems are the most dangerous volcanoes on Earth, capable of large and catastrophic eruptions, yet their low eruptive frequency makes it challenging to interpret their short-term unrest. Here we present a decade-plus analysis that integrates, for the first time, time series of satellite interferometric synthetic aperture radar (InSAR) surface deformation and satellite thermal infrared edifice-scale surface warming at a large silicic system: Domuyo volcano, in Argentina. We find that deformation and warming are highly correlated, and depending on the sign and lag between the time series, either shallow sealing or magma influx could drive Domuyo’s ongoing inflation (~ 0.15 m/year; from an InSAR-derived tabular source, ~ 11 × 8 × 1 km; ~ 6.5 km depth; ~ 0.037 km(3)/year volume-change rate) and warming (0.3–0.4 °C/year). This study shows the potential that combined satellite surface deformation and edifice-scale surface warming time series have on assessing the physical mechanisms of silicic volcanic systems and for constraining deterministic models. |
format | Online Article Text |
id | pubmed-7363862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73638622020-07-17 The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina Lundgren, Paul Girona, Társilo Bato, Mary Grace Realmuto, Vincent J. Samsonov, Sergey Cardona, Carlos Franco, Luis Gurrola, Eric Aivazis, Michael Sci Rep Article Silicic magmatic systems are the most dangerous volcanoes on Earth, capable of large and catastrophic eruptions, yet their low eruptive frequency makes it challenging to interpret their short-term unrest. Here we present a decade-plus analysis that integrates, for the first time, time series of satellite interferometric synthetic aperture radar (InSAR) surface deformation and satellite thermal infrared edifice-scale surface warming at a large silicic system: Domuyo volcano, in Argentina. We find that deformation and warming are highly correlated, and depending on the sign and lag between the time series, either shallow sealing or magma influx could drive Domuyo’s ongoing inflation (~ 0.15 m/year; from an InSAR-derived tabular source, ~ 11 × 8 × 1 km; ~ 6.5 km depth; ~ 0.037 km(3)/year volume-change rate) and warming (0.3–0.4 °C/year). This study shows the potential that combined satellite surface deformation and edifice-scale surface warming time series have on assessing the physical mechanisms of silicic volcanic systems and for constraining deterministic models. Nature Publishing Group UK 2020-07-15 /pmc/articles/PMC7363862/ /pubmed/32669561 http://dx.doi.org/10.1038/s41598-020-67982-8 Text en © The Author(s) 2020 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 Lundgren, Paul Girona, Társilo Bato, Mary Grace Realmuto, Vincent J. Samsonov, Sergey Cardona, Carlos Franco, Luis Gurrola, Eric Aivazis, Michael The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina |
title | The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina |
title_full | The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina |
title_fullStr | The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina |
title_full_unstemmed | The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina |
title_short | The dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of Domuyo volcano, Argentina |
title_sort | dynamics of large silicic systems from satellite remote sensing observations: the intriguing case of domuyo volcano, argentina |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363862/ https://www.ncbi.nlm.nih.gov/pubmed/32669561 http://dx.doi.org/10.1038/s41598-020-67982-8 |
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