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 | None |
| 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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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 3da4c33100942a503b4afe012129ba077d3eacc6 |
| CorpusID | 249569057 |
| 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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