Articles | Volume 19, issue 11
Atmos. Chem. Phys., 19, 7279–7295, 2019
https://doi.org/10.5194/acp-19-7279-2019
Atmos. Chem. Phys., 19, 7279–7295, 2019
https://doi.org/10.5194/acp-19-7279-2019

Research article 03 Jun 2019

Research article | 03 Jun 2019

Development of a versatile source apportionment analysis based on positive matrix factorization: a case study of the seasonal variation of organic aerosol sources in Estonia

Athanasia Vlachou et al.

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Development of a versatile source apportionment analysis based on positive matrix factorization: a case study of the seasonal variation of organic aerosol sources in Estonia A. Vlachou, A. Tobler, H. Lamkaddam, F. Canonaco, K. R. Daellenbach, J.-L. Jaffrezo, M. C. Minguillon, M. Maasikmets, E. Teinemaa, U. Baltensperger, I. El Haddad, and A. S. H. Pr\'{e}v\^{o}t https://doi.org/10.5281/zenodo.3218429

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Short summary
The resolution of rotational ambiguity in positive matrix factorization (PMF) models is a major challenge. Here, we developed a method based on bootstrapping and correlations to extract environmentally meaningful solutions from PMF analysis based on offline aerosol mass spectrometry data. The method has been tested on a dataset that covers 1 full year of filter samples collected at three different sites in Estonia.
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