Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 22
Articles | Volume 25, issue 22
https://doi.org/10.5194/acp-25-16631-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-16631-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 22
Research article
 | 
24 Nov 2025
Research article |  | 24 Nov 2025

Quantifying forest canopy shading and turbulence effects on boundary layer ozone over the United States

Chi-Tsan Wang, Patrick C. Campbell, Paul Makar, Siqi Ma, Irena Ivanova, Bok H. Baek, Wei-Ting Hung, Zachary Moon, Youhua Tang, Barry Baker, Rick Saylor, Jung-Hun Woo, and Daniel Tong

Viewed

Total article views: 4,458 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,498 788 172 4,458 373 173 246
  • HTML: 3,498
  • PDF: 788
  • XML: 172
  • Total: 4,458
  • Supplement: 373
  • BibTeX: 173
  • EndNote: 246
Views and downloads (calculated since 16 May 2025)
Cumulative views and downloads (calculated since 16 May 2025)

Viewed (geographical distribution)

Total article views: 4,458 (including HTML, PDF, and XML) Thereof 4,445 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 19 May 2026
Download
Short summary
Forests influence air quality by altering ozone levels, but most air pollution models overlook canopy effects. Our study improves ozone predictions by incorporating forest canopy shading and turbulence into a widely used model. We found that tree cover reduces near-surface ozone by decreasing photolysis rates and diffusion inside canopy, resulting in lower ozone concentrations in densely forested areas. These findings enhance ozone surface prediction accuracy and improve air quality modeling.
Read more
Share
Altmetrics
Final-revised paper
Preprint