Articles | Volume 20, issue 20
Research article
28 Oct 2020
Research article |  | 28 Oct 2020

Model bias in simulating major chemical components of PM2.5 in China

Ruqian Miao, Qi Chen, Yan Zheng, Xi Cheng, Yele Sun, Paul I. Palmer, Manish Shrivastava, Jianping Guo, Qiang Zhang, Yuhan Liu, Zhaofeng Tan, Xuefei Ma, Shiyi Chen, Limin Zeng, Keding Lu, and Yuanhang Zhang


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 Qi Chen on behalf of the Authors (19 Aug 2020)  Author's response   Manuscript 
ED: Publish as is (15 Sep 2020) by Kostas Tsigaridis
AR by Qi Chen on behalf of the Authors (18 Sep 2020)  Manuscript 
Short summary
In this study we evaluated the model performances for simulating secondary inorganic aerosol (SIA) and organic aerosol (OA) in PM2.5 in China against comprehensive datasets. The potential biases from factors related to meteorology, emission, chemistry, and atmospheric removal are systematically investigated. This study provides a comprehensive understanding of modeling PM2.5, which is important for studies on the effectiveness of emission control strategies.
Final-revised paper