Reference:Reference-022943: Difference between revisions
From CSDMS
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|Year=2023-01-10 | |Year=2023-01-10 | ||
|Journal=Atmospheric Chemistry and Physics | |Journal=Atmospheric Chemistry and Physics | ||
|Booktitle= | |Booktitle= | ||
|Volume=23 | |Volume=23 | ||
|Pages=375–388 | |Pages=375–388 | ||
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|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=031d5dee0c77de1495717437312ac337afb4600a | |Semantic_ID=031d5dee0c77de1495717437312ac337afb4600a |CorpusID=253222022 | ||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
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Latest revision as of 11:48, 12 November 2024
| 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 | ||
| 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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| Highlighted paper on group site | ||
| Which groups | ||
| 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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