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dc.contributor.author
Jouvet, Guillaume
dc.contributor.author
Cohen, Denis
dc.contributor.author
Russo, Emmanuele
dc.contributor.author
Buzan, Jonathan
dc.contributor.author
Raible, Christoph C.
dc.contributor.author
Haeberli, Wilfried
dc.contributor.author
Kamleitner, Sarah
dc.contributor.author
Ivy-Ochs, Susan
dc.contributor.author
Imhof, Michael A.
dc.contributor.author
Becker, Jens K.
dc.contributor.author
Landgraf, Angela
dc.contributor.author
Fischer, Urs H.
dc.date.accessioned
2023-10-23T06:46:31Z
dc.date.available
2023-10-21T05:19:34Z
dc.date.available
2023-10-23T06:46:31Z
dc.date.issued
2023
dc.identifier.issn
0022-1430
dc.identifier.issn
1727-5652
dc.identifier.other
10.1017/jog.2023.74
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/637778
dc.identifier.doi
10.3929/ethz-b-000637778
dc.description.abstract
Our limited knowledge of the climate prevailing over Europe during former glaciations is the main obstacle to reconstruct the past evolution of the ice coverage over the Alps by numerical modelling. To address this challenge, we perform a two-step modelling approach: First, a regional climate model is used to downscale the time slice simulations of a global earth system model in high resolution, leading to climate snapshots during the Last Glacial Maximum (LGM) and the Marine Isotope Stage 4 (MIS4). Second, we combine these snapshots and a climate signal proxy to build a transient climate over the last glacial period and force the Parallel Ice Sheet Model to simulate the dynamical evolution of glaciers in the Alps. The results show that the extent of modelled glaciers during the LGM agrees with several independent key geological imprints, including moraine-based maximal reconstructed glacial extents, known ice transfluences and trajectories of erratic boulders of known origin and deposition. Our results highlight the benefit of multiphysical coupled climate and glacier transient modelling over simpler approaches to help reconstruct paleo glacier fluctuations in agreement with traces they have left on the landscape.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Cambridge University Press
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
glacier modelling
en_US
dc.subject
moraine
en_US
dc.subject
paleoclimate
en_US
dc.title
Coupled climate-glacier modelling of the last glaciation in the Alps
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2023-10-06
ethz.journal.title
Journal of Glaciology
ethz.journal.abbreviated
J Glaciol
ethz.size
15 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
Modelling the ice flow in the western Alps during the last glacial cycle
en_US
ethz.identifier.wos
ethz.publication.place
Cambridge
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::09612 - Domeisen, Daniela / Domeisen, Daniela
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::09612 - Domeisen, Daniela / Domeisen, Daniela
ethz.grant.agreementno
162444
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projekte MINT
ethz.date.deposited
2023-10-21T05:19:36Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.exportRequired
true
ethz.COinS
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