Reference:Reference-022865
From CSDMS
| 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
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| Highlighted paper on group site | ||
| 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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