Articles | Volume 20, issue 20
https://doi.org/10.5194/acp-20-12265-2020
https://doi.org/10.5194/acp-20-12265-2020
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

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Latest update: 28 May 2024
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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.
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