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 | 2025-06-20
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| 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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