Articles | Volume 25, issue 21
https://doi.org/10.5194/acp-25-14205-2025
https://doi.org/10.5194/acp-25-14205-2025
Research article
 | 
30 Oct 2025
Research article |  | 30 Oct 2025

Differentiation of primary and secondary marine organic aerosol with machine learning

Baihua Chen, Lu Lei, Emmanuel Chevassus, Wei Xu, Ling Zhen, Haobin Zhong, Lin Wang, Chunshui Lin, Ru-Jin Huang, Darius Ceburnis, Colin O'Dowd, and Jurgita Ovadnevaite

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Cited articles

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This study uses machine learning to separate marine primary organic aerosol (POA) and secondary organic aerosol (SOA) from 1 decade of high-resolution data. POA averages 51 % of marine organic aerosols annually, peaking at 63 % in summer. A support vector regression model, validated via fuzzy clustering and Monte Carlo simulations, identifies seasonal patterns of POA linked to biological activity. We found diverse impacts of marine POA and SOA on the aerosol hygroscopicity and mixing state.
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