Reference:Reference-027444: Difference between revisions
From CSDMS
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|Year=2024-01 | |Year=2024-01 | ||
|Journal=Theoretical and Applied Climatology | |Journal=Theoretical and Applied Climatology | ||
|Booktitle= | |Booktitle= | ||
|Volume=155 | |Volume=155 | ||
|Pages=117–129 | |Pages=117–129 | ||
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|Semantic_ID=8f5a881df0feb25c8af9e548467a63f0bde914f5 | |Semantic_ID=8f5a881df0feb25c8af9e548467a63f0bde914f5 |CorpusID=261084551 | ||
|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 15:02, 12 November 2024
| Author(s) | He, Junyi; Liu, Xinyu; Wang, Hanqing; Zhu, Dongnan; Liu, Zhenming; |
| BibType | journalArticle |
| Title | A high-precision prediction method for coarse grids based on deep learning and the Weather Research and Forecasting model |
| Editors | |
| Year | 2024-01 |
| Journal | Theoretical and Applied Climatology |
| Booktitle | |
| Volume | 155 |
| Pages | 117–129 |
| URL | https://link.springer.com/10.1007/s00704-023-04592-0 |
| DOI | 10.1007/s00704-023-04592-0 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-05
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 8f5a881df0feb25c8af9e548467a63f0bde914f5 |
| Nr of citations | 1 |
| 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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