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, 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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Gang Chen on behalf of the Authors (20 Jul 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (30 Jul 2021) by Maria Cristina Facchini
RR by Anonymous Referee #3 (06 Sep 2021)
ED: Publish as is (07 Sep 2021) by Maria Cristina Facchini
AR by Gang Chen on behalf of the Authors (09 Sep 2021)  Manuscript 
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.
Final-revised paper