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=None
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|Volume=59
|Volume=59
|Pages=577–595
|Pages=577–595
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Latest revision as of 15:22, 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


 
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?:
Associated simulation movie if any:


Model(s) discussed: WRF