Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning

Murphy, Benjamin N.; Woody, Matthew C.; Jimenez, Jose L.; Carlton, Ann Marie G.; Hayes, Patrick L.; Liu, Shang; Ng, Nga L.; Russell, Lynn M.; Setyan, Ari; Xu, Lu; Young, Jeff; Zaveri, Rahul A.; Zhang, Qi; Pye, Havala O. T.

doi:https://doi.org/10.5194/acp-17-11107-2017

Articles | Volume 17, issue 18

https://doi.org/10.5194/acp-17-11107-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-11107-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 18

Research article

|

20 Sep 2017

Research article |

| 20 Sep 2017

Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning

Benjamin N. Murphy, Matthew C. Woody, Jose L. Jimenez, Ann Marie G. Carlton, Patrick L. Hayes, Shang Liu, Nga L. Ng, Lynn M. Russell, Ari Setyan, Lu Xu, Jeff Young, Rahul A. Zaveri, Qi Zhang, and Havala O. T. Pye

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Final revised paper (published on 20 Sep 2017)
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Preprint (discussion started on 15 Mar 2017)
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Interactive discussion

Status: closed

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

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RC1: 'Review', Anonymous Referee #1, 11 May 2017
- AC1: 'Response to Referee 1', Ben Murphy, 19 Jul 2017
RC2: 'Review Murphy et al. CMAQv5.2', Anonymous Referee #2, 26 May 2017
- AC2: 'Response to Referee 2', Ben Murphy, 19 Jul 2017

Peer-review completion

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

AR by M. Woody on behalf of the Authors (21 Jul 2017) Author's response Manuscript

ED: Publish subject to technical corrections (24 Jul 2017) by Manabu Shiraiwa

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Short summary

We incorporate recent findings about the behavior of organic pollutants in urban airsheds into the Community Multiscale Air Quality (CMAQ) model to refine predictions of organic particulate pollution in the United States. The new techniques, which account for the volatility and ongoing chemistry of airborne organic compounds, substantially reduce biases, particularly in the winter time and near emission sources.