Articles | Volume 20, issue 17
Atmos. Chem. Phys., 20, 10441–10458, 2020
https://doi.org/10.5194/acp-20-10441-2020
Atmos. Chem. Phys., 20, 10441–10458, 2020
https://doi.org/10.5194/acp-20-10441-2020

Research article 08 Sep 2020

Research article | 08 Sep 2020

Comparing secondary organic aerosol (SOA) volatility distributions derived from isothermal SOA particle evaporation data and FIGAERO–CIMS measurements

Olli-Pekka Tikkanen et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Olli-Pekka Tikkasalo on behalf of the Authors (22 Apr 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (29 Apr 2020) by Neil M. Donahue
RR by Neil M. Donahue (29 Apr 2020)
ED: Reconsider after major revisions (29 Apr 2020) by Neil M. Donahue
AR by Olli-Pekka Tikkasalo on behalf of the Authors (29 May 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Jun 2020) by Neil M. Donahue
RR by Anonymous Referee #1 (09 Jun 2020)
RR by Anonymous Referee #4 (18 Jun 2020)
ED: Publish subject to minor revisions (review by editor) (21 Jun 2020) by Neil M. Donahue
AR by Olli-Pekka Tikkasalo on behalf of the Authors (29 Jun 2020)  Author's response    Manuscript
ED: Publish as is (09 Jul 2020) by Neil M. Donahue
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Short summary
We compared the volatility distributions of secondary organic aerosol (SOA) constituents estimated from isothermal evaporation experiments from either particle size change data, by process modelling and global optimization, or from mass spectrometer data with positive matrix factorization analysis. Our results show that, despite the two very different estimation methods, the volatility distributions are comparable if uncertainties are taken into account.
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