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Tropospheric ozone trends and attributions over East and Southeast Asia in 1995–2019: an integrated assessment using statistical methods, machine learning models, and multiple chemical transport models.

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Title: Tropospheric ozone trends and attributions over East and Southeast Asia in 1995–2019: an integrated assessment using statistical methods, machine learning models, and multiple chemical transport models.
Authors: Lu, Xiao1,2 (AUTHOR) luxiao25@mail.sysu.edu.cn, Liu, Yiming1,2 (AUTHOR), Su, Jiayin1,2 (AUTHOR), Weng, Xiang1,2,3 (AUTHOR), Ansari, Tabish4 (AUTHOR), Zhang, Yuqiang5 (AUTHOR), He, Guowen1,2 (AUTHOR), Zhu, Yuqi1,2 (AUTHOR), Wang, Haolin1,2 (AUTHOR), Zeng, Ganquan1,2 (AUTHOR), Li, Jingyu1,2 (AUTHOR), He, Cheng1,2 (AUTHOR), Li, Shuai1,2 (AUTHOR), Amnuaylojaroen, Teerachai6 (AUTHOR), Butler, Tim4 (AUTHOR), Fan, Qi1,2 (AUTHOR), Fan, Shaojia1,2 (AUTHOR), Forster, Grant L.3,7 (AUTHOR), Gao, Meng8 (AUTHOR), Hu, Jianlin9 (AUTHOR)
Source: Atmospheric Chemistry & Physics. 2025, Vol. 25 Issue 14, p7991-8028. 38p.
Database: Environment Complete
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An: 187194315
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PubType: Academic Journal
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  Data: Tropospheric ozone trends and attributions over East and Southeast Asia in 1995–2019: an integrated assessment using statistical methods, machine learning models, and multiple chemical transport models.
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Chemistry+%26+Physics%22">Atmospheric Chemistry & Physics</searchLink>. 2025, Vol. 25 Issue 14, p7991-8028. 38p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=187194315
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