Reference:Reference-022943
From CSDMS
| Author(s) | Feng, Jin; Li, Yanjie; Qiu, Yulu; Zhu, Fuxin; |
| BibType | journalArticle |
| Title | Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data |
| Editors | |
| Year | 2023-01-10 |
| Journal | Atmospheric Chemistry and Physics |
| Booktitle | None |
| Volume | 23 |
| Pages | 375–388 |
| URL | https://acp.copernicus.org/articles/23/375/2023/ |
| DOI | 10.5194/acp-23-375-2023 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-30
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 031d5dee0c77de1495717437312ac337afb4600a |
| CorpusID | 253222022 |
| Nr of citations | 2 |
| 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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