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ACP | Articles | Volume 19, issue 2
Atmos. Chem. Phys., 19, 973-986, 2019
https://doi.org/10.5194/acp-19-973-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 19, 973-986, 2019
https://doi.org/10.5194/acp-19-973-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 24 Jan 2019

Research article | 24 Jan 2019

Positive matrix factorization of organic aerosol: insights from a chemical transport model

Anthoula D. Drosatou et al.
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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 Spyros Pandis on behalf of the Authors (16 Dec 2018)  Author's response    Manuscript
ED: Publish as is (24 Dec 2018) by Lynn M. Russell
Publications Copernicus
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Short summary
The ability of positive matrix factorization (PMF) factor analysis to identify and quantify the organic aerosol (OA) sources accurately is tested in this modeling study. The estimated uncertainty of the contribution of fresh biomass burning is less than 30 % and of the other primary sources is less than 40 %, when these sources contribute more than 20 % to the OA. Τhe first oxygenated OA factor includes mainly highly aged OA, while the second oxygenated OA factor contains fresher secondary OA.
The ability of positive matrix factorization (PMF) factor analysis to identify and quantify the...
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