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Deciphering the impacts of meteorology on surface ozone variability in eastern China using explainable machine learning models.

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Title: Deciphering the impacts of meteorology on surface ozone variability in eastern China using explainable machine learning models.
Authors: Ye, Xingpei1,2 (AUTHOR), Zhang, Lin2,3,4 (AUTHOR) zhanglg@pku.edu.cn, Wang, Xiaolin2 (AUTHOR), Lu, Ni2 (AUTHOR), Hickman, Sebastian1 (AUTHOR), Luo, Guo2 (AUTHOR), Archibald, Alex T.1,5 (AUTHOR)
Source: Atmospheric Chemistry & Physics. 2026, Vol. 26 Issue 9, p6377-6390. 14p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 193976248
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PubType: Academic Journal
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  Data: Deciphering the impacts of meteorology on surface ozone variability in eastern China using explainable machine learning models.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.5194/acp-26-6377-2026
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      – Code: eng
        Text: English
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        StartPage: 6377
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      – TitleFull: Deciphering the impacts of meteorology on surface ozone variability in eastern China using explainable machine learning models.
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            NameFull: Wang, Xiaolin
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            NameFull: Hickman, Sebastian
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            NameFull: Luo, Guo
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            – D: 01
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              Text: 2026
              Type: published
              Y: 2026
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