Articles | Volume 15, issue 18
https://doi.org/10.5194/amt-15-5479-2022
https://doi.org/10.5194/amt-15-5479-2022
Research article
 | 
27 Sep 2022
Research article |  | 27 Sep 2022

Rolling vs. seasonal PMF: real-world multi-site and synthetic dataset comparison

Marta Via, Gang Chen, Francesco Canonaco, Kaspar R. Daellenbach, Benjamin Chazeau, Hasna Chebaicheb, Jianhui Jiang, Hannes Keernik, Chunshui Lin, Nicolas Marchand, Cristina Marin, Colin O'Dowd, Jurgita Ovadnevaite, Jean-Eudes Petit, Michael Pikridas, Véronique Riffault, Jean Sciare, Jay G. Slowik, Leïla Simon, Jeni Vasilescu, Yunjiang Zhang, Olivier Favez, André S. H. Prévôt, Andrés Alastuey, and María Cruz Minguillón

Viewed

Total article views: 2,305 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,753 477 75 2,305 140 49 59
  • HTML: 1,753
  • PDF: 477
  • XML: 75
  • Total: 2,305
  • Supplement: 140
  • BibTeX: 49
  • EndNote: 59
Views and downloads (calculated since 30 May 2022)
Cumulative views and downloads (calculated since 30 May 2022)

Viewed (geographical distribution)

Total article views: 2,305 (including HTML, PDF, and XML) Thereof 2,270 with geography defined and 35 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
This work presents the differences resulting from two techniques (rolling and seasonal) of the positive matrix factorisation model that can be run for organic aerosol source apportionment. The current state of the art suggests that the rolling technique is more accurate, but no proof of its effectiveness has been provided yet. This paper tackles this issue in the context of a synthetic dataset and a multi-site real-world comparison.