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Investigating Volcanic Plumes from Mt. Etna Eruptions of December 2015 by Means of AVHRR and SEVIRI Data

In early December 2015, a rapid sequence of strong paroxysmal events took place at the Mt. Etna crater area (Sicily, Italy). Intense paroxysms from the Voragine crater (VOR) generated an eruptive column extending up to an altitude of about 15 km above sea level. In the following days, other minor as...

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Autores principales: Marchese, Francesco, Falconieri, Alfredo, Filizzola, Carolina, Pergola, Nicola, Tramutoli, Valerio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427348/
https://www.ncbi.nlm.nih.gov/pubmed/30866566
http://dx.doi.org/10.3390/s19051174
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author Marchese, Francesco
Falconieri, Alfredo
Filizzola, Carolina
Pergola, Nicola
Tramutoli, Valerio
author_facet Marchese, Francesco
Falconieri, Alfredo
Filizzola, Carolina
Pergola, Nicola
Tramutoli, Valerio
author_sort Marchese, Francesco
collection PubMed
description In early December 2015, a rapid sequence of strong paroxysmal events took place at the Mt. Etna crater area (Sicily, Italy). Intense paroxysms from the Voragine crater (VOR) generated an eruptive column extending up to an altitude of about 15 km above sea level. In the following days, other minor ash emissions occurred from summit craters. In this study, we present results achieved by monitoring Mt. Etna plumes by means of RST(ASH) (Robust Satellite Techniques-Ash) algorithm, running operationally at the Institute of Methodologies for Environmental Analysis (IMAA) on Advanced Very High Resolution Radiometer (AVHRR) data. Results showed that RST(ASH) detected an ash plume dispersing from Mt. Etna towards Ionian Sea starting from 3 December at 08:40 UTC, whereas it did not identify ash pixels on satellite data of same day at 04:20 UTC and 04:40 UTC (acquired soon after the end of first paroxysm from VOR), due to a mixed cloud containing SO(2) and ice. During 8–10 December, the continuity of RST(ASH) detections allowed us to estimate the mass eruption rate (an average value of about 1.5 × 10(3) kg/s was retrieved here), quantitatively characterizing the eruptive activity from North East Crater (NEC). The work, exploiting information provided also by Spinning Enhanced Visible and Infrared Imager (SEVIRI) data, confirms the important contribution offered by RST(ASH) in identifying and tracking ash plumes emitted from Mt. Etna, despite some operational limitations (e.g., cloud coverage). Moreover, it shows that an experimental RST product, tailored to SEVIRI data, for the first time used and preliminarily assessed here, may complement RST(ASH) detections providing information about areas mostly affected by volcanic SO(2).
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spelling pubmed-64273482019-04-15 Investigating Volcanic Plumes from Mt. Etna Eruptions of December 2015 by Means of AVHRR and SEVIRI Data Marchese, Francesco Falconieri, Alfredo Filizzola, Carolina Pergola, Nicola Tramutoli, Valerio Sensors (Basel) Article In early December 2015, a rapid sequence of strong paroxysmal events took place at the Mt. Etna crater area (Sicily, Italy). Intense paroxysms from the Voragine crater (VOR) generated an eruptive column extending up to an altitude of about 15 km above sea level. In the following days, other minor ash emissions occurred from summit craters. In this study, we present results achieved by monitoring Mt. Etna plumes by means of RST(ASH) (Robust Satellite Techniques-Ash) algorithm, running operationally at the Institute of Methodologies for Environmental Analysis (IMAA) on Advanced Very High Resolution Radiometer (AVHRR) data. Results showed that RST(ASH) detected an ash plume dispersing from Mt. Etna towards Ionian Sea starting from 3 December at 08:40 UTC, whereas it did not identify ash pixels on satellite data of same day at 04:20 UTC and 04:40 UTC (acquired soon after the end of first paroxysm from VOR), due to a mixed cloud containing SO(2) and ice. During 8–10 December, the continuity of RST(ASH) detections allowed us to estimate the mass eruption rate (an average value of about 1.5 × 10(3) kg/s was retrieved here), quantitatively characterizing the eruptive activity from North East Crater (NEC). The work, exploiting information provided also by Spinning Enhanced Visible and Infrared Imager (SEVIRI) data, confirms the important contribution offered by RST(ASH) in identifying and tracking ash plumes emitted from Mt. Etna, despite some operational limitations (e.g., cloud coverage). Moreover, it shows that an experimental RST product, tailored to SEVIRI data, for the first time used and preliminarily assessed here, may complement RST(ASH) detections providing information about areas mostly affected by volcanic SO(2). MDPI 2019-03-07 /pmc/articles/PMC6427348/ /pubmed/30866566 http://dx.doi.org/10.3390/s19051174 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marchese, Francesco
Falconieri, Alfredo
Filizzola, Carolina
Pergola, Nicola
Tramutoli, Valerio
Investigating Volcanic Plumes from Mt. Etna Eruptions of December 2015 by Means of AVHRR and SEVIRI Data
title Investigating Volcanic Plumes from Mt. Etna Eruptions of December 2015 by Means of AVHRR and SEVIRI Data
title_full Investigating Volcanic Plumes from Mt. Etna Eruptions of December 2015 by Means of AVHRR and SEVIRI Data
title_fullStr Investigating Volcanic Plumes from Mt. Etna Eruptions of December 2015 by Means of AVHRR and SEVIRI Data
title_full_unstemmed Investigating Volcanic Plumes from Mt. Etna Eruptions of December 2015 by Means of AVHRR and SEVIRI Data
title_short Investigating Volcanic Plumes from Mt. Etna Eruptions of December 2015 by Means of AVHRR and SEVIRI Data
title_sort investigating volcanic plumes from mt. etna eruptions of december 2015 by means of avhrr and seviri data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427348/
https://www.ncbi.nlm.nih.gov/pubmed/30866566
http://dx.doi.org/10.3390/s19051174
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