Articles | Volume 24, issue 21
https://doi.org/10.5194/acp-24-12495-2024
https://doi.org/10.5194/acp-24-12495-2024
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

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Cited articles

AppEEARS Team: Application for extracting and exploring analysis ready samples (AppEEARS), Sioux Falls, South Dakota, USA: NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, https://appeears.earthdatacloud.nasa.gov/ (last access: 4 July 2023), 2020. a
Atkinson, R.: Atmospheric chemistry of VOCs and NOx, Atmos. Environ., 34, 2063–2101, 2000. a
Atkinson, R. and Arey, J.: Gas-phase tropospheric chemistry of biogenic volatile organic compounds: a review, Atmos. Environ., 37, 197–219, 2003. a
Calfapietra, C., Pallozzi, E., Lusini, I., and Velikova, V.: Modification of BVOC emissions by changes in atmospheric [CO2] and air pollution, Biology, controls and models of tree volatile organic compound emissions, pp. 253–284, https://doi.org/10.1007/978-94-007-6606-8_10, 2013. a
Chan, W.-Y. S., Fuentes, J., Lerdau, M., Shugart, H., Scanlon, T., and Clarens, A.: The Fate of Biogenic Hydrocarbons within a Forest Canopy: Field Observation and Model Results, PhD thesis, University of Virginia, https://doi.org/10.18130/V3MV8J, 2011. a, b
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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.
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