Reference:Reference-022865: Difference between revisions

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|Journal=Journal of Glaciology
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|Volume=68
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|Pages=651–664
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Latest revision as of 11:48, 12 November 2024



Author(s) Jouvet, Guillaume; Cordonnier, Guillaume; Kim, Byungsoo; Lüthi, Martin; Vieli, Andreas; Aschwanden, Andy;
BibType journalArticle
Title Deep learning speeds up ice flow modelling by several orders of magnitude
Editors
Year 2022-08
Journal Journal of Glaciology
Booktitle
Volume 68
Pages 651–664
URL https://www.cambridge.org/core/product/identifier/S0022143021001209/type/journal_article
DOI 10.1017/jog.2021.120
ISBN
Note Auto downloaded ref at: 2024-08-29


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 3da4c33100942a503b4afe012129ba077d3eacc6
Nr of citations 31
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: Instructed Glacier Model