SOA formation from the photooxidation of <i>α</i>-pinene: systematic exploration of the simulation of chamber data

McVay, Renee C.; Zhang, Xuan; Aumont, Bernard; Valorso, Richard; Camredon, Marie; La, Yuyi S.; Wennberg, Paul O.; Seinfeld, John H.

doi:https://doi.org/10.5194/acp-16-2785-2016

Articles | Volume 16, issue 5

https://doi.org/10.5194/acp-16-2785-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-2785-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 5

Research article

|

04 Mar 2016

Research article |

| 04 Mar 2016

SOA formation from the photooxidation of α-pinene: systematic exploration of the simulation of chamber data

Renee C. McVay, Xuan Zhang, Bernard Aumont, Richard Valorso, Marie Camredon, Yuyi S. La, Paul O. Wennberg, and John H. Seinfeld

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Final revised paper (published on 04 Mar 2016)
Supplement to the final revised paper
Preprint (discussion started on 25 Nov 2015)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C10733: 'Review of acpd-15-33161-2015', Anonymous Referee #1, 21 Dec 2015
- AC C12495: 'Author response to Anonymous Referee #1', Renee McVay, 17 Feb 2016
RC C12167: 'Review McVay et al.', Anonymous Referee #2, 02 Feb 2016
- AC C12496: 'Author response to Anonymous Referee #2', Renee McVay, 17 Feb 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Renee McVay on behalf of the Authors (17 Feb 2016) Author's response

ED: Publish as is (23 Feb 2016) by Christopher Hoyle

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Short summary

Secondary organic aerosol (SOA) affects climate change, human health, and cloud formation. We examine SOA formation from the biogenic hydrocarbon α-pinene and observe unexpected experimental results that run contrary to model predictions. Various processes are explored via modeling to rationalize the observations. The paper identifies the importance of further constraining via experiments various steps in the chemical mechanism in order to accurately predict SOA worldwide.