Reference:Reference-023064
From CSDMS
| Author(s) | Zhang, Jianbin; Gao, Zhiqiu; Li, Yubin; |
| BibType | journalArticle |
| Title | Deep-Learning Correction Methods for Weather Research and Forecasting (WRF) Model Precipitation Forecasting: A Case Study over Zhengzhou, China |
| Editors | |
| Year | 2024-05-24 |
| Journal | Atmosphere |
| Booktitle | None |
| Volume | 15 |
| Pages | 631 |
| URL | https://www.mdpi.com/2073-4433/15/6/631 |
| DOI | 10.3390/atmos15060631 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-30
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 08f790b88c70d234a68ee34b5460500d36081f42 |
| CorpusID | 270032367 |
| 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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