Reference:Reference-022943
From CSDMS
| Name | Feng, Jin |
| Name | Li, Yanjie |
| Name | Qiu, Yulu |
| Name | Zhu, Fuxin |
| Kind of article | journalArticle |
| Title | Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data |
| Publication title | Atmospheric Chemistry and Physics |
| Book title | |
| Journal Abbreviation | |
| Volume | 23 |
| Issue | 1 |
| URL | https://acp.copernicus.org/articles/23/375/2023/ |
| DOI | 10.5194/acp-23-375-2023 |
| Page numbers | 375–388 |
| Publication date | 2023-01-10 |
| Access date | 2025-06-17
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 031d5dee0c77de1495717437312ac337afb4600a |
| 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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