Reference:Reference-022865
From CSDMS
| Name | Jouvet, Guillaume | |
| Name | Cordonnier, Guillaume | |
| Name | Kim, Byungsoo | |
| Name | Lüthi, Martin | |
| Name | Vieli, Andreas | |
| Name | Aschwanden, Andy | |
| Kind of article | journalArticle | |
| Title | Deep learning speeds up ice flow modelling by several orders of magnitude | |
| Publication title | Journal of Glaciology | |
| Book title | ||
| Journal Abbreviation | ||
| Volume | 68 | |
| Issue | 270 | |
| URL | https://www.cambridge.org/core/product/identifier/S0022143021001209/type/journal_article | |
| DOI | 10.1017/jog.2021.120 | |
| Page numbers | 651–664 | |
| Publication date | 2022-08 | |
| Access date | 2025-12-16
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| Which groups | ||
| 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: |
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| Model(s) discussed: | Instructed Glacier Model
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