Reference:Reference-030958
From CSDMS
| Name | Zhong, Xiaohui | |
| Name | Yu, Xing | |
| Name | Li, Hao | |
| Kind of article | 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 | |
| Publication title | Geoscientific Model Development | |
| Book title | ||
| Journal Abbreviation | ||
| Volume | 17 | |
| Issue | 9 | |
| URL | https://gmd.copernicus.org/articles/17/3667/2024/ | |
| DOI | 10.5194/gmd-17-3667-2024 | |
| Page numbers | 3667–3685 | |
| Publication date | 2024-05-07 | |
| Access date | 2025-12-15
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| Which groups | ||
| Feature reference | No | |
| PublicationClusterID | 0 | |
| MS_PublicationClusterID | 0 | |
| Semantic_ID | b8f2c81393f8f10f7757308dcdb8b349b020bd15 | |
| 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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