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

Chen, Gang; Sosedova, Yulia; Canonaco, Francesco; Fröhlich, Roman; Tobler, Anna; Vlachou, Athanasia; Daellenbach, Kaspar R.; Bozzetti, Carlo; Hueglin, Christoph; Graf, Peter; Baltensperger, Urs; Slowik, Jay G.; El Haddad, Imad; Prévôt, André S. H.

doi:https://doi.org/10.5194/acp-21-15081-2021

Articles | Volume 21, issue 19

Atmos. Chem. Phys., 21, 15081–15101, 2021

https://doi.org/10.5194/acp-21-15081-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Atmos. Chem. Phys., 21, 15081–15101, 2021

https://doi.org/10.5194/acp-21-15081-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 19

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.

Supplement

https://doi.org/10.5194/acp-21-15081-2021-supplement

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

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.