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dc.contributor.authorBerends, Constantijn J.
dc.contributor.authorGoelzer, Heiko
dc.contributor.authorReerink, Thomas J.
dc.contributor.authorStap, Lennert
dc.contributor.authorvan de Wal, Roderik S.W.
dc.date.accessioned2022-11-07T12:32:53Z
dc.date.available2022-11-07T12:32:53Z
dc.date.created2022-08-29T17:17:58Z
dc.date.issued2022
dc.identifier.citationGeoscientific Model Development. 2022, 15 (14), 5667-5688.en_US
dc.identifier.issn1991-959X
dc.identifier.urihttps://hdl.handle.net/11250/3030427
dc.description.abstractIce-dynamical processes constitute a large uncertainty in future projections of sea-level rise caused by anthropogenic climate change. Improving our understanding of these processes requires ice-sheet models that perform well at simulating both past and future ice-sheet evolution. Here, we present version 2.0 of the ice-sheet model IMAU-ICE, which uses the depth-integrated viscosity approximation (DIVA) to solve the stress balance. We evaluate its performance in a range of benchmark experiments, including simple analytical solutions and both schematic and realistic model intercomparison exercises. IMAU-ICE has adopted recent developments in the numerical treatment of englacial stress and sub-shelf melt near the grounding line, which result in good performance in experiments concerning grounding-line migration (MISMIP, MISMIP+) and buttressing (ABUMIP). This makes it a model that is robust, versatile, and user-friendly, which will provide a firm basis for (palaeo-)glaciological research in the coming years.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleBenchmarking the vertically integrated ice-sheet model IMAU-ICE (version 2.0)en_US
dc.title.alternativeBenchmarking the vertically integrated ice-sheet model IMAU-ICE (version 2.0)en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holder© Author(s) 2022en_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.5194/gmd-15-5667-2022
dc.identifier.cristin2046896
dc.source.journalGeoscientific Model Developmenten_US
dc.source.volume15en_US
dc.source.issue14en_US
dc.source.pagenumber5667-5688en_US
dc.relation.projectNorges forskningsråd: 324639en_US
dc.relation.projectNorges forskningsråd: 295046en_US
dc.relation.projectNorges forskningsråd: 270061en_US
dc.relation.projectEC/H2020/869304en_US
dc.relation.projectSigma2: NN8006Ken_US
dc.relation.projectSigma2: NS8006Ken_US
dc.relation.projectSigma2: NN9560Ken_US
dc.relation.projectSigma2: NS9560Ken_US
dc.relation.projectSigma2: NS5011Ken_US


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