Reference:Reference-020250: Difference between revisions
From CSDMS
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|Year=2021-02 | |Year=2021-02 | ||
|Journal=Pattern Analysis and Applications | |Journal=Pattern Analysis and Applications | ||
|Booktitle= | |Booktitle= | ||
|Volume=24 | |Volume=24 | ||
|Pages=343–366 | |Pages=343–366 | ||
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|Semantic_ID=748c9f88b8e86b493c0c9b2fca760db12c10ba20 | |Semantic_ID=748c9f88b8e86b493c0c9b2fca760db12c10ba20 |CorpusID=219977230 | ||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
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Latest revision as of 11:39, 12 November 2024
| Author(s) | Hewage, Pradeep; Trovati, Marcello; Pereira, Ella; Behera, Ardhendu; |
| BibType | journalArticle |
| Title | Deep learning-based effective fine-grained weather forecasting model |
| Editors | |
| Year | 2021-02 |
| Journal | Pattern Analysis and Applications |
| Booktitle | |
| Volume | 24 |
| Pages | 343–366 |
| URL | https://link.springer.com/10.1007/s10044-020-00898-1 |
| DOI | 10.1007/s10044-020-00898-1 |
| ISBN | |
| Note | Auto downloaded ref at: 2022-10-06
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 748c9f88b8e86b493c0c9b2fca760db12c10ba20 |
| Nr of citations | 123 |
| 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: | WRF
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