Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 12
Articles | Volume 25, issue 12
https://doi.org/10.5194/acp-25-6497-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-6497-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 12
Research article
 | 
27 Jun 2025
Research article |  | 27 Jun 2025

Data-driven modeling of environmental factors influencing Arctic methanesulfonic acid aerosol concentrations

Jakob Boyd Pernov, William H. Aeberhard, Michele Volpi, Eliza Harris, Benjamin Hohermuth, Sakiko Ishino, Ragnhild B. Skeie, Stephan Henne, Ulas Im, Patricia K. Quinn, Lucia M. Upchurch, and Julia Schmale

Viewed

Total article views: 5,278 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,485 1,342 451 5,278 625 529 487
  • HTML: 3,485
  • PDF: 1,342
  • XML: 451
  • Total: 5,278
  • Supplement: 625
  • BibTeX: 529
  • EndNote: 487
Views and downloads (calculated since 14 Nov 2024)
Cumulative views and downloads (calculated since 14 Nov 2024)

Viewed (geographical distribution)

Total article views: 5,278 (including HTML, PDF, and XML) Thereof 5,152 with geography defined and 126 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 30 Oct 2026
Download
Short summary
Particulate methanesulfonic acid (MSAp) is vital for the Arctic climate system. Numerical models struggle to reproduce the MSAp seasonal cycle. We evaluate three numerical models and one reanalysis product’s ability to simulate MSAp. We develop data-driven models for MSAp at four Arctic stations. The data-driven models outperform the numerical models and reanalysis product and identified precursor source-, chemical-processing-, and removal-related features as being important for modeling MSAp.
Read more
Share
Altmetrics
Final-revised paper
Preprint