Assessing potential impacts on the air traffic routes due to an ash-producing eruption on Jan Mayen Island (Norway)

Jan Mayen Island (Norway), located in the North Atlantic, is considered the world"s northernmost active subaerial volcano, with at least five eruptive periods recorded during the last 200 years. Explosive activity of the volcano may seriously affects the nearby important air traffic routes. How...

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Main Authors: Titos, Manuel, Martínez, Beatriz, Barsotti, Sara, Folch, Arnau, Mingari, Leonardo, Costa, Antonio, Macedonio, Giovanni, Sandri, Laura
Format: Conference Object
Language:unknown
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/10261/262126
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spelling ftcsic:oai:digital.csic.es:10261/262126 2024-02-11T10:05:21+01:00 Assessing potential impacts on the air traffic routes due to an ash-producing eruption on Jan Mayen Island (Norway) Titos, Manuel Martínez, Beatriz Barsotti, Sara Folch, Arnau Mingari, Leonardo Costa, Antonio Macedonio, Giovanni Sandri, Laura 2021-04-19 http://hdl.handle.net/10261/262126 unknown Publisher's version Sí http://hdl.handle.net/10261/262126 open comunicación de congreso http://purl.org/coar/resource_type/c_5794 2021 ftcsic 2024-01-16T11:19:39Z Jan Mayen Island (Norway), located in the North Atlantic, is considered the world"s northernmost active subaerial volcano, with at least five eruptive periods recorded during the last 200 years. Explosive activity of the volcano may seriously affects the nearby important air traffic routes. However, no quantitative studies on the possible impact of a new explosive volcanic eruption on the air traffic have been conducted. In this work, we statistically characterise the spatial and temporal distribution of airborne volcanic ash cloud and its persistence at different flight levels. Since current operational forecast products do not always meet the requirements of the aviation sector and related stakeholders (using coarse time and space scales, with outputs on a 40 km horizontal resolution grid and 6 hour time averages), and they neglect epistemic/aleatory uncertainties in quantitative forecasts on real time, we propose hourly high resolution hazard maps over a 3D-grid covering a 2 km-resolution spatial domain 2000 km x 2000 km wide. We present the use of high-performance computing (HPC) to overcome the computational limitations associated with unbiased long-term probabilistic volcanic hazard assessment (PVHA) .Considering a continuum of possible combinations of Eruptive Source Parameters (ESP) to assess and quantify the uncertainty, and the natural variability associated with wind fields over 20 years of data, from 1999 to 2019, we run thousands of analytical solutions (numerical simulations) using the most recent version of the FALL3D model. As a result, the first comprehensive long-term PVHA for Jan Mayen volcanic island is presented. Conference Object Jan Mayen Jan Mayen Island North Atlantic Digital.CSIC (Spanish National Research Council) Jan Mayen Norway
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language unknown
description Jan Mayen Island (Norway), located in the North Atlantic, is considered the world"s northernmost active subaerial volcano, with at least five eruptive periods recorded during the last 200 years. Explosive activity of the volcano may seriously affects the nearby important air traffic routes. However, no quantitative studies on the possible impact of a new explosive volcanic eruption on the air traffic have been conducted. In this work, we statistically characterise the spatial and temporal distribution of airborne volcanic ash cloud and its persistence at different flight levels. Since current operational forecast products do not always meet the requirements of the aviation sector and related stakeholders (using coarse time and space scales, with outputs on a 40 km horizontal resolution grid and 6 hour time averages), and they neglect epistemic/aleatory uncertainties in quantitative forecasts on real time, we propose hourly high resolution hazard maps over a 3D-grid covering a 2 km-resolution spatial domain 2000 km x 2000 km wide. We present the use of high-performance computing (HPC) to overcome the computational limitations associated with unbiased long-term probabilistic volcanic hazard assessment (PVHA) .Considering a continuum of possible combinations of Eruptive Source Parameters (ESP) to assess and quantify the uncertainty, and the natural variability associated with wind fields over 20 years of data, from 1999 to 2019, we run thousands of analytical solutions (numerical simulations) using the most recent version of the FALL3D model. As a result, the first comprehensive long-term PVHA for Jan Mayen volcanic island is presented.
format Conference Object
author Titos, Manuel
Martínez, Beatriz
Barsotti, Sara
Folch, Arnau
Mingari, Leonardo
Costa, Antonio
Macedonio, Giovanni
Sandri, Laura
spellingShingle Titos, Manuel
Martínez, Beatriz
Barsotti, Sara
Folch, Arnau
Mingari, Leonardo
Costa, Antonio
Macedonio, Giovanni
Sandri, Laura
Assessing potential impacts on the air traffic routes due to an ash-producing eruption on Jan Mayen Island (Norway)
author_facet Titos, Manuel
Martínez, Beatriz
Barsotti, Sara
Folch, Arnau
Mingari, Leonardo
Costa, Antonio
Macedonio, Giovanni
Sandri, Laura
author_sort Titos, Manuel
title Assessing potential impacts on the air traffic routes due to an ash-producing eruption on Jan Mayen Island (Norway)
title_short Assessing potential impacts on the air traffic routes due to an ash-producing eruption on Jan Mayen Island (Norway)
title_full Assessing potential impacts on the air traffic routes due to an ash-producing eruption on Jan Mayen Island (Norway)
title_fullStr Assessing potential impacts on the air traffic routes due to an ash-producing eruption on Jan Mayen Island (Norway)
title_full_unstemmed Assessing potential impacts on the air traffic routes due to an ash-producing eruption on Jan Mayen Island (Norway)
title_sort assessing potential impacts on the air traffic routes due to an ash-producing eruption on jan mayen island (norway)
publishDate 2021
url http://hdl.handle.net/10261/262126
geographic Jan Mayen
Norway
geographic_facet Jan Mayen
Norway
genre Jan Mayen
Jan Mayen Island
North Atlantic
genre_facet Jan Mayen
Jan Mayen Island
North Atlantic
op_relation Publisher's version

http://hdl.handle.net/10261/262126
op_rights open
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