Articles | Volume 17, issue 21
https://doi.org/10.5194/acp-17-13103-2017
https://doi.org/10.5194/acp-17-13103-2017
Research article
 | 
07 Nov 2017
Research article |  | 07 Nov 2017

Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China

Jianlin Hu, Xun Li, Lin Huang, Qi Ying, Qiang Zhang, Bin Zhao, Shuxiao Wang, and Hongliang Zhang

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (21 Aug 2017)  Author's response
ED: Referee Nomination & Report Request started (30 Aug 2017) by Aijun Ding
RR by Anonymous Referee #2 (11 Sep 2017)
RR by Anonymous Referee #4 (20 Sep 2017)
ED: Publish subject to technical corrections (25 Sep 2017) by Aijun Ding
AR by Hongliang Zhang on behalf of the Authors (28 Sep 2017)  Author's response    Manuscript
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Short summary
The model performance of CMAQ with WRF using four different emission inventories in China was validated and compared to obtain the best air pollutants prediction for health effect studies of severe air pollution. The differences in performance of chemical transport model were analyzed for different months and regions in the vast part of China and ensemble predictions were firstly obtained from different inventories for health analysis with minimized errors for pollutants including PM2.5 and O3.
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