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dc.contributor.authorMillward, FJ
dc.contributor.authorWebster, HN
dc.contributor.authorJohnson, CG
dc.date.accessioned2023-09-14T10:05:42Z
dc.date.issued2023-08-26
dc.date.updated2023-09-14T08:24:58Z
dc.description.abstractThe ash and gas released by large explosive volcanic eruptions rises to its neutral buoyancy level in the atmosphere, then spreads laterally to form an umbrella cloud. Density stratification of the atmosphere generates buoyancy forces in the cloud, which drive the outward spread. Although umbrella clouds are often modeled as circular axisymmetric structures, in practice they are usually influenced quite strongly by the meteorological wind, with spread in the upwind direction halted by the oncoming wind, and different rates of spreading in the downwind and crosswind directions. In this work, we derive a simple parametrization of non-axisymmetric umbrella cloud spreading from a much more complex physically based shallow-layer intrusion model. The new parametrization is quick to evaluate and so is suitable for use in operational Volcanic Ash Transport and Dispersion Models (VATDMs). In contrast to previous parametrizations, in which there is assumed to be no interaction between a circular umbrella cloud and the meteorological wind, here the umbrella cloud is influenced by the wind and adopts a shape determined by the balance of buoyant spreading and downwind drag forces. We apply the new scheme to four historical case studies of eruptions at Puyehue 2011, Pinatubo 1991, Ulawun 2019, and Calbuco 2015. The results are compared with VATDM simulations using a conventional circular umbrella cloud parametrization. Using the new scheme, good descriptions of cloud spread are recovered and the prediction of horizontal ash distribution is improved relative to the axisymmetric parametrization.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationVol. 128(17), article e2023JD039115en_GB
dc.identifier.doihttps://doi.org/10.1029/2023jd039115
dc.identifier.grantnumberNE/S004106/1en_GB
dc.identifier.grantnumberEP/R513131/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/133989
dc.identifierORCID: 0000-0003-1749-1398 (Webster, HN)
dc.identifierScopusID: 7103291287 (Webster, HN)
dc.language.isoenen_GB
dc.publisherAmerican Geophysical Union (AGU) / Wileyen_GB
dc.relation.urlhttps://www.eorc.jaxa.jp/ptree/en_GB
dc.relation.urlhttps://www.metoffice.gov.uk/en_GB
dc.rights© 2023. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_GB
dc.titleModelling Wind‐blown Umbrella Clouds in Lagrangian Dispersion Modelsen_GB
dc.typeArticleen_GB
dc.date.available2023-09-14T10:05:42Z
dc.identifier.issn2169-897X
dc.descriptionThis is the final version. Available on open access from the American Geophysical Union via the DOI in this recorden_GB
dc.descriptionData Availability Statement: Satellite measurements used in this research are available in a public repository (Millward et al., 2023), except those from Ulawun, which are available from P-Tree System, Japan Aerospace Exploration Agency (JAXA) at https://www.eorc.jaxa.jp/ptree/. The dimensionless velocity field that underlies the wind-blown parametrization, the NAME input files, and the resulting model outputs used to generate the figures in this paper are also provided in this repository. The NAME 8.1 software (Jones et al., 2007) used to test the wind-blown parametrization may be licensed from the Met Office (https://www.metoffice.gov.uk/, atmospheric.dispersion@metoffice.gov.uk). The Python package iris (Met Office, 2016) was used to load and process NAME outputs, and iris, cartopy (Elson et al., 2020) and matplotlib (Caswell et al., 2021) were used for plotting.en_GB
dc.identifier.eissn2169-8996
dc.identifier.journalJournal of Geophysical Research: Atmospheresen_GB
dc.relation.ispartofJournal of Geophysical Research: Atmospheres, 128(17)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-08-20
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-08-26
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-09-14T10:00:10Z
refterms.versionFCDVoR
refterms.dateFOA2023-09-14T10:05:43Z
refterms.panelBen_GB


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© 2023. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2023. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.