Articles | Volume 20, issue 20
https://doi.org/10.5194/acp-20-12265-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-12265-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Oct 2020
Research article |
| 28 Oct 2020
| 28 Oct 2020
Model bias in simulating major chemical components of PM2.5 in China
Ruqian Miao
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Yan Zheng
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Xi Cheng
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing, 100029, China
Paul I. Palmer
School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3FF, UK
Manish Shrivastava
Pacific Northwest National Laboratory, Richland, Washington 99352,
USA
Jianping Guo
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Qiang Zhang
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, 100084,
China
Yuhan Liu
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Zhaofeng Tan
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Institute of Energy and Climate Research, IEK-8: Troposphere,
Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
Xuefei Ma
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Shiyi Chen
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Limin Zeng
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Keding Lu
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Yuanhang Zhang
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, BIC-ESAT and IJRC, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
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Latest update: 19 Nov 2025
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.
In this study we evaluated the model performances for simulating secondary inorganic aerosol...
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