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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Nov 2024
Research article |
| 12 Nov 2024
| 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
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
Deborah F. McGlynn
Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
Laura E. R. Barry
Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
Todd M. Scanlon
Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
Manuel T. Lerdau
Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
Sally E. Pusede
Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
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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.
Climate change will bring about changes in parameters that are currently used in global-scale...
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