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Applying deep learning to a chemistry-climate model for improved ozone prediction.

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Title: Applying deep learning to a chemistry-climate model for improved ozone prediction.
Authors: Liu, Zhenze1 (AUTHOR), Li, Ke1 (AUTHOR) keli@nuist.edu.cn, Wild, Oliver2 (AUTHOR), Doherty, Ruth M.3 (AUTHOR), O'Connor, Fiona M.4,5 (AUTHOR), Turnock, Steven T.5,6 (AUTHOR)
Source: Atmospheric Chemistry & Physics. 2025, Vol. 25 Issue 22, p16969-16981. 13p.
Database: Environment Complete
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=189709077
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        Value: 10.5194/acp-25-16969-2025
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        Text: English
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      – TitleFull: Applying deep learning to a chemistry-climate model for improved ozone prediction.
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              Text: 2025
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