Articles | Volume 20, issue 20
Atmos. Chem. Phys., 20, 12265–12284, 2020
https://doi.org/10.5194/acp-20-12265-2020
Atmos. Chem. Phys., 20, 12265–12284, 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 et al.

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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
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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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