Reference:Reference-030958
From CSDMS
| Author(s) | Zhong, Xiaohui; Yu, Xing; Li, Hao; |
| BibType | journalArticle |
| Title | Machine learning parameterization of the multi-scale Kain–Fritsch (MSKF) convection scheme and stable simulation coupled in the Weather Research and Forecasting (WRF) model using WRF–ML v1.0 |
| Editors | |
| Year | 2024-05-07 |
| Journal | Geoscientific Model Development |
| Booktitle | None |
| Volume | 17 |
| Pages | 3667–3685 |
| URL | https://gmd.copernicus.org/articles/17/3667/2024/ |
| DOI | 10.5194/gmd-17-3667-2024 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-08
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | b8f2c81393f8f10f7757308dcdb8b349b020bd15 |
| CorpusID | 269703836 |
| Nr of citations | 0 |
| 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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