Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 21
Articles | Volume 24, issue 21
https://doi.org/10.5194/acp-24-12495-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-12495-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 21
Research article
 | 
12 Nov 2024
Research article |  | 12 Nov 2024

Constraining light dependency in modeled emissions through comparison to observed biogenic volatile organic compound (BVOC) concentrations in a southeastern US forest

Namrata Shanmukh Panji, Deborah F. McGlynn, Laura E. R. Barry, Todd M. Scanlon, Manuel T. Lerdau, Sally E. Pusede, and Gabriel Isaacman-VanWertz

Viewed

Total article views: 5,608 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,761 1,570 277 5,608 709 231 335
  • HTML: 3,761
  • PDF: 1,570
  • XML: 277
  • Total: 5,608
  • Supplement: 709
  • BibTeX: 231
  • EndNote: 335
Views and downloads (calculated since 18 Jun 2024)
Cumulative views and downloads (calculated since 18 Jun 2024)

Viewed (geographical distribution)

Total article views: 5,608 (including HTML, PDF, and XML) Thereof 5,602 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 31 Aug 2026
Download
Short summary
Climate change will bring about changes in parameters that are currently used in global-scale models to calculate biogenic emissions. This study seeks to understand the factors driving these models by comparing long-term datasets of biogenic compounds to modeled emissions. We note that the light-dependent fractions currently used in models do not accurately represent regional observations. We provide evidence for the time-dependent variation in this parameter for future modifications to models.
Read more
Share
Altmetrics
Final-revised paper
Preprint