An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions
High-quality volcanic ash forecasts are crucial to minimize the economic impact of volcanic hazards on air traffic. Decision-making is usually based on numerical dispersion modelling with only one model realization. Given the inherent uncertainty of such an approach, a multi-model multi-source term...
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ftcopernicus:oai:publications.copernicus.org:nhess93729 2023-05-15T16:09:42+02:00 An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions Plu, Matthieu Scherllin-Pirscher, Barbara Arnold Arias, Delia Baro, Rocio Bigeard, Guillaume Bugliaro, Luca Carvalho, Ana Amraoui, Laaziz Eschbacher, Kurt Hirtl, Marcus Maurer, Christian Mulder, Marie D. Piontek, Dennis Robertson, Lennart Rokitansky, Carl-Herbert Zobl, Fritz Zopp, Raimund 2021-10-05 application/pdf https://doi.org/10.5194/nhess-21-2973-2021 https://nhess.copernicus.org/articles/21/2973/2021/ eng eng doi:10.5194/nhess-21-2973-2021 https://nhess.copernicus.org/articles/21/2973/2021/ eISSN: 1684-9981 Text 2021 ftcopernicus https://doi.org/10.5194/nhess-21-2973-2021 2021-10-11T16:22:29Z High-quality volcanic ash forecasts are crucial to minimize the economic impact of volcanic hazards on air traffic. Decision-making is usually based on numerical dispersion modelling with only one model realization. Given the inherent uncertainty of such an approach, a multi-model multi-source term ensemble has been designed and evaluated for the Eyjafjallajökull eruption in May 2010. Its use for flight planning is discussed. Two multi-model ensembles were built: the first is based on the output of four dispersion models and their own implementation of ash ejection. All a priori model source terms were constrained by observational evidence of the volcanic ash cloud top as a function of time. The second ensemble is based on the same four dispersion models, which were run with three additional source terms: (i) a source term obtained from a model background constrained with satellite data (a posteriori source term), (ii) its lower-bound estimate and (iii) its upper-bound estimate. The a priori ensemble gives valuable information about the probability of ash dispersion during the early phase of the eruption, when observational evidence is limited. However, its evaluation with observational data reveals lower quality compared to the second ensemble. While the second ensemble ash column load and ash horizontal location compare well to satellite observations, 3D ash concentrations are negatively biased. This might be caused by the vertical distribution of ash, which is too much diluted in all model runs, probably due to defaults in the a posteriori source term and vertical transport and/or diffusion processes in all models. Relevant products for the air traffic management are horizontal maps of ash concentration quantiles (median, 75 %, 99 %) at a finely resolved flight level grid as well as cross sections. These maps enable cost-optimized consideration of volcanic hazards and could result in much fewer flight cancellations, reroutings and traffic flow congestions. In addition, they could be used for route optimization in the areas where ash does not pose a direct and urgent threat to aviation, including the aspect of aeroplane maintenance. Text Eyjafjallajökull Copernicus Publications: E-Journals Natural Hazards and Earth System Sciences 21 10 2973 2992 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
High-quality volcanic ash forecasts are crucial to minimize the economic impact of volcanic hazards on air traffic. Decision-making is usually based on numerical dispersion modelling with only one model realization. Given the inherent uncertainty of such an approach, a multi-model multi-source term ensemble has been designed and evaluated for the Eyjafjallajökull eruption in May 2010. Its use for flight planning is discussed. Two multi-model ensembles were built: the first is based on the output of four dispersion models and their own implementation of ash ejection. All a priori model source terms were constrained by observational evidence of the volcanic ash cloud top as a function of time. The second ensemble is based on the same four dispersion models, which were run with three additional source terms: (i) a source term obtained from a model background constrained with satellite data (a posteriori source term), (ii) its lower-bound estimate and (iii) its upper-bound estimate. The a priori ensemble gives valuable information about the probability of ash dispersion during the early phase of the eruption, when observational evidence is limited. However, its evaluation with observational data reveals lower quality compared to the second ensemble. While the second ensemble ash column load and ash horizontal location compare well to satellite observations, 3D ash concentrations are negatively biased. This might be caused by the vertical distribution of ash, which is too much diluted in all model runs, probably due to defaults in the a posteriori source term and vertical transport and/or diffusion processes in all models. Relevant products for the air traffic management are horizontal maps of ash concentration quantiles (median, 75 %, 99 %) at a finely resolved flight level grid as well as cross sections. These maps enable cost-optimized consideration of volcanic hazards and could result in much fewer flight cancellations, reroutings and traffic flow congestions. In addition, they could be used for route optimization in the areas where ash does not pose a direct and urgent threat to aviation, including the aspect of aeroplane maintenance. |
format |
Text |
author |
Plu, Matthieu Scherllin-Pirscher, Barbara Arnold Arias, Delia Baro, Rocio Bigeard, Guillaume Bugliaro, Luca Carvalho, Ana Amraoui, Laaziz Eschbacher, Kurt Hirtl, Marcus Maurer, Christian Mulder, Marie D. Piontek, Dennis Robertson, Lennart Rokitansky, Carl-Herbert Zobl, Fritz Zopp, Raimund |
spellingShingle |
Plu, Matthieu Scherllin-Pirscher, Barbara Arnold Arias, Delia Baro, Rocio Bigeard, Guillaume Bugliaro, Luca Carvalho, Ana Amraoui, Laaziz Eschbacher, Kurt Hirtl, Marcus Maurer, Christian Mulder, Marie D. Piontek, Dennis Robertson, Lennart Rokitansky, Carl-Herbert Zobl, Fritz Zopp, Raimund An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions |
author_facet |
Plu, Matthieu Scherllin-Pirscher, Barbara Arnold Arias, Delia Baro, Rocio Bigeard, Guillaume Bugliaro, Luca Carvalho, Ana Amraoui, Laaziz Eschbacher, Kurt Hirtl, Marcus Maurer, Christian Mulder, Marie D. Piontek, Dennis Robertson, Lennart Rokitansky, Carl-Herbert Zobl, Fritz Zopp, Raimund |
author_sort |
Plu, Matthieu |
title |
An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions |
title_short |
An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions |
title_full |
An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions |
title_fullStr |
An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions |
title_full_unstemmed |
An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions |
title_sort |
ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions |
publishDate |
2021 |
url |
https://doi.org/10.5194/nhess-21-2973-2021 https://nhess.copernicus.org/articles/21/2973/2021/ |
genre |
Eyjafjallajökull |
genre_facet |
Eyjafjallajökull |
op_source |
eISSN: 1684-9981 |
op_relation |
doi:10.5194/nhess-21-2973-2021 https://nhess.copernicus.org/articles/21/2973/2021/ |
op_doi |
https://doi.org/10.5194/nhess-21-2973-2021 |
container_title |
Natural Hazards and Earth System Sciences |
container_volume |
21 |
container_issue |
10 |
container_start_page |
2973 |
op_container_end_page |
2992 |
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1766405545306095616 |