Articles | Volume 21, issue 13
Atmos. Chem. Phys., 21, 10081–10109, 2021
https://doi.org/10.5194/acp-21-10081-2021

Special issue: Pan-Eurasian Experiment (PEEX) – Part II

Atmos. Chem. Phys., 21, 10081–10109, 2021
https://doi.org/10.5194/acp-21-10081-2021

Research article 06 Jul 2021

Research article | 06 Jul 2021

Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach

Liine Heikkinen et al.

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Liine Heikkinen on behalf of the Authors (17 May 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (22 May 2021) by Hang Su
RR by Anonymous Referee #2 (26 May 2021)
ED: Publish subject to technical corrections (08 Jun 2021) by Hang Su
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Short summary
In many locations worldwide aerosol particles have been shown to be made up of organic aerosol (OA). The boreal forest is a region where aerosol particles possess a high OA mass fraction. Here, we studied OA composition using the longest time series of OA composition ever obtained from a boreal environment. For this purpose, we tested a new analysis framework and discovered that most of the OA was highly oxidized, with strong seasonal behaviour reflecting different sources in summer and winter.
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