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 | 2025-06-19
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| 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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