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dc.contributor.authorCrawford, Anna
dc.contributor.authorBenn, Douglas I
dc.contributor.authorTodd, Joe
dc.contributor.authorÅström, Jan
dc.contributor.authorBassis, Jeremy
dc.contributor.authorZwinger, Thomas
dc.date.accessioned2021-05-17T11:30:08Z
dc.date.available2021-05-17T11:30:08Z
dc.date.issued2021-05-11
dc.identifier.citationCrawford , A , Benn , D I , Todd , J , Åström , J , Bassis , J & Zwinger , T 2021 , ' Marine ice-cliff instability modeling shows mixed-mode ice-cliff failure and yields calving rate parameterization ' , Nature Communications , vol. 12 , 2701 . https://doi.org/10.1038/s41467-021-23070-7en
dc.identifier.issn2041-1723
dc.identifier.otherPURE: 274016716
dc.identifier.otherPURE UUID: aa085ece-5672-4a7d-9d5a-92a9fbd651cf
dc.identifier.otherJisc: fd206db3361d4ca484d403e603eec87f
dc.identifier.otherJisc: fd206db3361d4ca484d403e603eec87f
dc.identifier.otherpublisher-id: s41467-021-23070-7
dc.identifier.othermanuscript: 23070
dc.identifier.otherORCID: /0000-0003-3183-043X/work/94291716
dc.identifier.otherORCID: /0000-0002-3604-0886/work/94669201
dc.identifier.otherScopus: 85105770475
dc.identifier.otherWOS: 000658724200016
dc.identifier.urihttps://hdl.handle.net/10023/23200
dc.descriptionThis work is from the DOMINOS project, a component of the International Thwaites Glacier Collaboration (ITGC). DOMINOS is supported by the Natural Environment Research Council (NERC: Grant NE/S006605/1). This article represents ITGC Contribution No. ITGC-020. The model simulations were conducted with computational resources provided by NERC and PRACE.en
dc.description.abstractMarine ice-cliff instability could accelerate ice loss from Antarctica, and according to some model predictions could potentially contribute >1 m of global mean sea level rise by 2100 at current emission rates. Regions with over-deepening basins >1 km in depth (e.g., the West Antarctic Ice Sheet) are particularly susceptible to this instability, as retreat could expose increasingly tall cliffs that could exceed ice stability thresholds. Here, we use a suite of high-fidelity glacier models to improve understanding of the modes through which ice cliffs can structurally fail and derive a conservative ice-cliff failure retreat rate parameterization for ice-sheet models. Our results highlight the respective roles of viscous deformation, shear-band formation, and brittle-tensile failure within marine ice-cliff instability. Calving rates increase non-linearly with cliff height, but runaway ice-cliff retreat can be inhibited by viscous flow and back force from iceberg mélange.
dc.format.extent9
dc.language.isoeng
dc.relation.ispartofNature Communicationsen
dc.rightsCopyright © The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.subjectGlaciologyen
dc.subjectCalvingen
dc.subjectIce failureen
dc.subjectGB Physical geographyen
dc.subjectGeophysicsen
dc.subject3rd-DASen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccGBen
dc.titleMarine ice-cliff instability modeling shows mixed-mode ice-cliff failure and yields calving rate parameterizationen
dc.typeJournal articleen
dc.contributor.sponsorNERCen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Environmental Change Research Groupen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.identifier.doihttps://doi.org/10.1038/s41467-021-23070-7
dc.description.statusPeer revieweden
dc.identifier.urlhttps://www.nature.com/articles/s41467-021-23070-7#Sec15en
dc.identifier.grantnumberNE/S006605/1en


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