Articles | Volume 21, issue 19
Atmos. Chem. Phys., 21, 15081–15101, 2021
https://doi.org/10.5194/acp-21-15081-2021
Atmos. Chem. Phys., 21, 15081–15101, 2021
https://doi.org/10.5194/acp-21-15081-2021

Research article 11 Oct 2021

Research article | 11 Oct 2021

Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window

Gang Chen et al.

Data sets

Dataset: Time dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling PMF window Gang Chen, Yulia Sosedova, Francesco Canonaco, Roman Fröhlich, Anna Tobler, Athanasia Vlachou, Kaspar R. Daellenbach, Carlo Bozzetti, Christoph Hueglin, Peter Graf, Urs Baltensperger, Jay G. Slowik, Imad El Haddad, and André S. H. Prévôt https://doi.org/10.5281/zenodo.5113896

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Short summary
A novel, advanced source apportionment technique was applied to a dataset measured in Magadino. Rolling positive matrix factorisation (PMF) allows for retrieving more realistic, time-dependent, and detailed information on organic aerosol sources. The strength of the rolling PMF mechanism is highlighted by comparing it with results derived from conventional seasonal PMF. Overall, this comprehensive interpretation of aerosol chemical speciation monitor data could be a role model for similar work.
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