Uncertainty analysis of a model of wind-blown volcanic plumes

Mathematical models of natural processes can be used as inversion tools to predict unobserved properties from measured quantities. Uncertainty in observations and model formulation impact on the efficacy of inverse modelling. We present a general methodology, history matching, that can be used to in...

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Published in:Bulletin of Volcanology
Main Authors: Woodhouse, Mark J., Hogg, Andrew J., Phillips, Jeremy C., Rougier, Jonathan C.
Format: Text
Language:English
Published: Springer Berlin Heidelberg 2015
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610681/
https://doi.org/10.1007/s00445-015-0959-2
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spelling ftpubmed:oai:pubmedcentral.nih.gov:4610681 2023-05-15T16:09:36+02:00 Uncertainty analysis of a model of wind-blown volcanic plumes Woodhouse, Mark J. Hogg, Andrew J. Phillips, Jeremy C. Rougier, Jonathan C. 2015-09-07 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610681/ https://doi.org/10.1007/s00445-015-0959-2 en eng Springer Berlin Heidelberg http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610681/ http://dx.doi.org/10.1007/s00445-015-0959-2 © The Author(s) 2015 Research Article Text 2015 ftpubmed https://doi.org/10.1007/s00445-015-0959-2 2015-10-25T00:21:23Z Mathematical models of natural processes can be used as inversion tools to predict unobserved properties from measured quantities. Uncertainty in observations and model formulation impact on the efficacy of inverse modelling. We present a general methodology, history matching, that can be used to investigate the effect of observational and model uncertainty on inverse modelling studies. We demonstrate history matching on an integral model of volcanic plumes that is used to estimate source conditions from observations of the rise height of plumes during the eruptions of Eyjafjallajökull, Iceland, in 2010 and Grímsvötn, Iceland, in 2011. Sources of uncertainty are identified and quantified, and propagated through the integral plume model. A preliminary sensitivity analysis is performed to identify the uncertain model parameters that strongly influence model predictions. Model predictions are assessed against observations through an implausibility measure that rules out model inputs that are considered implausible given the quantified uncertainty. We demonstrate that the source mass flux at the volcano can be estimated from plume height observations, but the magmatic temperature, exit velocity and exsolved gas mass fraction cannot be accurately determined. Uncertainty in plume height observations and entrainment coefficients results in a large range of plausible values of the source mass flux. Our analysis shows that better constraints on entrainment coefficients for volcanic plumes and more precise observations of plume height are required to obtain tightly constrained estimates of the source mass flux. Text Eyjafjallajökull Iceland PubMed Central (PMC) Bulletin of Volcanology 77 10
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Woodhouse, Mark J.
Hogg, Andrew J.
Phillips, Jeremy C.
Rougier, Jonathan C.
Uncertainty analysis of a model of wind-blown volcanic plumes
topic_facet Research Article
description Mathematical models of natural processes can be used as inversion tools to predict unobserved properties from measured quantities. Uncertainty in observations and model formulation impact on the efficacy of inverse modelling. We present a general methodology, history matching, that can be used to investigate the effect of observational and model uncertainty on inverse modelling studies. We demonstrate history matching on an integral model of volcanic plumes that is used to estimate source conditions from observations of the rise height of plumes during the eruptions of Eyjafjallajökull, Iceland, in 2010 and Grímsvötn, Iceland, in 2011. Sources of uncertainty are identified and quantified, and propagated through the integral plume model. A preliminary sensitivity analysis is performed to identify the uncertain model parameters that strongly influence model predictions. Model predictions are assessed against observations through an implausibility measure that rules out model inputs that are considered implausible given the quantified uncertainty. We demonstrate that the source mass flux at the volcano can be estimated from plume height observations, but the magmatic temperature, exit velocity and exsolved gas mass fraction cannot be accurately determined. Uncertainty in plume height observations and entrainment coefficients results in a large range of plausible values of the source mass flux. Our analysis shows that better constraints on entrainment coefficients for volcanic plumes and more precise observations of plume height are required to obtain tightly constrained estimates of the source mass flux.
format Text
author Woodhouse, Mark J.
Hogg, Andrew J.
Phillips, Jeremy C.
Rougier, Jonathan C.
author_facet Woodhouse, Mark J.
Hogg, Andrew J.
Phillips, Jeremy C.
Rougier, Jonathan C.
author_sort Woodhouse, Mark J.
title Uncertainty analysis of a model of wind-blown volcanic plumes
title_short Uncertainty analysis of a model of wind-blown volcanic plumes
title_full Uncertainty analysis of a model of wind-blown volcanic plumes
title_fullStr Uncertainty analysis of a model of wind-blown volcanic plumes
title_full_unstemmed Uncertainty analysis of a model of wind-blown volcanic plumes
title_sort uncertainty analysis of a model of wind-blown volcanic plumes
publisher Springer Berlin Heidelberg
publishDate 2015
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610681/
https://doi.org/10.1007/s00445-015-0959-2
genre Eyjafjallajökull
Iceland
genre_facet Eyjafjallajökull
Iceland
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610681/
http://dx.doi.org/10.1007/s00445-015-0959-2
op_rights © The Author(s) 2015
op_doi https://doi.org/10.1007/s00445-015-0959-2
container_title Bulletin of Volcanology
container_volume 77
container_issue 10
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