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dc.contributor.authorAbraham, Luke
dc.contributor.authorArchibald, Alexander
dc.contributor.authorCresswell, P
dc.contributor.authorCusworth, S
dc.contributor.authorDalvi, M
dc.contributor.authorMatthews, D
dc.contributor.authorWardle, S
dc.contributor.authorWhitehouse, S
dc.date.accessioned2018-11-14T00:30:45Z
dc.date.available2018-11-14T00:30:45Z
dc.date.issued2018-09-06
dc.identifier.issn1991-959X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/285029
dc.description.abstract<jats:p>Abstract. The Met Office Unified Model (UM) is a state-of-the-art weather and climate model that is used operationally worldwide. UKCA is the chemistry and aerosol sub model of the UM that enables interactive composition and physical atmosphere interactions, but which adds an additional 120 000 lines of code to the model. Ensuring that the UM code and UM-UKCA (the UM running with interactive chemistry and aerosols) is well tested is thus essential. While a comprehensive test harness is in place at the Met Office and partner sites to aid in development, this is not available to many UM users. Recently, the Met Office have made available a virtual machine environment that can be used to run the UM on a desktop or laptop PC. Here we describe the development of a UM-UKCA configuration that is able to run within this virtual machine while only needing 6 GB of memory, before discussing the applications of this system for model development, testing, and training. </jats:p>
dc.publisherCopernicus GmbH
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleUsing a virtual machine environment for developing, testing, and training for the UM-UKCA composition-climate model, using Unified Model version 10.9 and above
dc.typeArticle
prism.endingPage3657
prism.issueIdentifier9
prism.publicationDate2018
prism.publicationNameGeoscientific Model Development
prism.startingPage3647
prism.volume11
dc.identifier.doi10.17863/CAM.32399
dcterms.dateAccepted2018-08-23
rioxxterms.versionofrecord10.5194/gmd-11-3647-2018
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-09-06
dc.contributor.orcidAbraham, Luke [0000-0003-3750-3544]
dc.contributor.orcidArchibald, Alexander [0000-0001-9302-4180]
dc.identifier.eissn1991-9603
rioxxterms.typeJournal Article/Review
pubs.funder-project-idNERC (NE/M006220/1)
pubs.funder-project-idNERC (NE/N00129/1)
pubs.funder-project-idNERC (NE/N019091/1)
pubs.funder-project-idNational Centre for Atmospheric Science (NERC) (via University of Leeds) (R8H12/83/009)
pubs.funder-project-idNERC (NE/P020089/1)
pubs.funder-project-idNational Centre for Atmospheric Science (NERC) (via University of Leeds) (R8/H12/83/003)
pubs.funder-project-idNatural Environment Research Council (NE/K001280/1)
cam.issuedOnline2018-09-06


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International