Reference:Reference-032191: Difference between revisions
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|Year=2023-11 | |Year=2023-11 | ||
|Journal=Asia-Pacific Journal of Atmospheric Sciences | |Journal=Asia-Pacific Journal of Atmospheric Sciences | ||
|Booktitle= | |Booktitle= | ||
|Volume=59 | |Volume=59 | ||
|Pages=577–595 | |Pages=577–595 | ||
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Latest revision as of 14:22, 12 November 2024
| Author(s) | Koo, Youn-Seo; Kwon, Hee-Yong; Bae, Hyosik; Yun, Hui-Young; Choi, Dae-Ryun; Yu, SukHyun; Wang, Kyung-Hui; Koo, Ji-Seok; Lee, Jae-Bum; Choi, Min-Hyeok; Lee, Jeong-Beom; | |
| BibType | journalArticle | |
| Title | A Development of PM2.5 Forecasting System in South Korea Using Chemical Transport Modeling and Machine Learning | |
| Editors | ||
| Year | 2023-11 | |
| Journal | Asia-Pacific Journal of Atmospheric Sciences | |
| Booktitle | ||
| Volume | 59 | |
| Pages | 577–595 | |
| URL | https://link.springer.com/10.1007/s13143-023-00314-8 | |
| DOI | 10.1007/s13143-023-00314-8 | |
| ISBN | ||
| Note | Auto downloaded ref at: 2024-09-08
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| Feature reference | No | |
| PublicationClusterID | 0 | |
| MS_PublicationClusterID | 0 | |
| Semantic_ID | edad36671ef14a5fcbd828dceb81fed08de7416b | |
| Nr of citations | 5 | |
| 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?: | ||
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| Model(s) discussed: | WRF
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