Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-219-2024
https://doi.org/10.5194/acp-24-219-2024
Research article
 | 
10 Jan 2024
Research article |  | 10 Jan 2024

Current status of model predictions of volatile organic compounds and impacts on surface ozone predictions during summer in China

Yongliang She, Jingyi Li, Xiaopu Lyu, Hai Guo, Momei Qin, Xiaodong Xie, Kangjia Gong, Fei Ye, Jianjiong Mao, Lin Huang, and Jianlin Hu

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1358', Anonymous Referee #1, 27 Aug 2023
  • RC2: 'Comment on egusphere-2023-1358', Anonymous Referee #2, 09 Oct 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jianlin Hu on behalf of the Authors (04 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (14 Nov 2023) by Zhibin Wang
RR by Anonymous Referee #1 (19 Nov 2023)
ED: Publish as is (20 Nov 2023) by Zhibin Wang
AR by Jianlin Hu on behalf of the Authors (23 Nov 2023)
Download
Short summary
In this study, we use multi-site volatile organic compound (VOC) measurements to evaluate the CMAQ-model-predicted VOCs and assess the impacts of VOC bias on O3 simulation. Our results demonstrate that current modeling setups and emission inventories are likely to underpredict VOC concentrations, and this underprediction of VOCs contributes to lower O3 predictions in China.
Altmetrics
Final-revised paper
Preprint