Using GECKO-A to derive mechanistic understanding of secondary organic aerosol formation from the ubiquitous but understudied camphene

Afreh, Isaac Kwadjo; Aumont, Bernard; Camredon, Marie; Barsanti, Kelley Claire

doi:https://doi.org/10.5194/acp-21-11467-2021

Articles | Volume 21, issue 14

https://doi.org/10.5194/acp-21-11467-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-11467-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 14

Research article

|

30 Jul 2021

Research article |

| 30 Jul 2021

Using GECKO-A to derive mechanistic understanding of secondary organic aerosol formation from the ubiquitous but understudied camphene

Isaac Kwadjo Afreh, Bernard Aumont, Marie Camredon, and Kelley Claire Barsanti

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https://doi.org/10.5194/acp-21-11467-2021-supplement

Data sets

Using GECKO-A to derive mechanistic understanding of SOA formation from the ubiquitous but understudied camphene Isaac Kwadjo Afreh, Kelley Claire Barsanti, Aumont Bernard, and Marie Camredon https://doi.org/10.5281/zenodo.5059693

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Short summary

This is the first mechanistic modeling study of secondary organic aerosol (SOA) from the understudied monoterpene, camphene. The semi-explicit chemical model GECKO-A predicted camphene SOA yields that were ~2 times α-pinene. Using 50/50 α-pinene + limonene as a surrogate for camphene increased predicted SOA mass from biomass burning fuels by up to ~100 %. The accurate representation of camphene in air quality models can improve predictions of SOA when camphene is a dominant monoterpene.