Articles | Volume 14, issue 11
https://doi.org/10.5194/gmd-14-7189-2021
https://doi.org/10.5194/gmd-14-7189-2021
Model evaluation paper
 | 
26 Nov 2021
Model evaluation paper |  | 26 Nov 2021

A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry–meteorology feedbacks on air quality

Kai Wang, Yang Zhang, Shaocai Yu, David C. Wong, Jonathan Pleim, Rohit Mathur, James T. Kelly, and Michelle Bell

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Kai Wang on behalf of the Authors (16 Jul 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Aug 2021) by Tim Butler
RR by Anonymous Referee #1 (12 Aug 2021)
ED: Publish subject to minor revisions (review by editor) (12 Aug 2021) by Tim Butler
AR by Kai Wang on behalf of the Authors (26 Aug 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Aug 2021) by Tim Butler
AR by Kai Wang on behalf of the Authors (09 Sep 2021)
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Short summary
The two-way coupled WRF-CMAQ model accounting for complex chemistry–meteorology feedbacks has been applied to the long-term predictions of regional meteorology and air quality over the US. The model results show superior performance and importance of chemistry–meteorology feedbacks when compared to the offline coupled WRF and CMAQ simulations, which suggests that feedbacks should be considered along with other factors in developing future model applications to inform policy making.