Articles | Volume 17, issue 6
https://doi.org/10.5194/gmd-17-2471-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-2471-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
02 Apr 2024
Model evaluation paper |
| 02 Apr 2024
| 02 Apr 2024
Intercomparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1–CMAQ v5.3.1, WRF–Chem v4.1.1, and WRF v3.7.1–CHIMERE v2020r1) in eastern China
Chao Gao
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Aijun Xiu
CORRESPONDING AUTHOR
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Qingqing Tong
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Hongmei Zhao
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Shichun Zhang
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Guangyi Yang
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
Mengduo Zhang
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
Shengjin Xie
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
School of Environment, Harbin Institute of Technology, Harbin, 150000, China
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Cited
13 citations as recorded by crossref.
- The role of dust mineral composition in atmospheric radiation and pollution in North China: new insights from EMIT and two-way coupled modeling C. Gao et al.
- Analysis of chemical and transport processes of biogenic aerosols over the northern Apennines: insights from the WRF-CHIMERE model B. Vitali et al.
- BVOCs' role in dynamic shifts of summer ozone formation regimes across China and policy implications C. Gao et al.
- From sensitivity regimes to policy action: Evaluating EKMA curve effectiveness with WRF-Chem, OBM, and machine learning X. Ye et al.
- Quantifying the impacts of environmental stress factors on biogenic volatile organic compound emissions in China C. Gao et al.
- Model Intercomparisons of MEGAN and BEIS: Synergistic Impacts of Biogenic VOCs and Soil NO Emissions on Summer Ozone and Secondary Organic Aerosol Formation in China C. Gao et al.
- High-resolution anthropogenic emission inventory for China (2015–2024): Spatiotemporal changes and environmental application D. Li et al.
- Changes in ambient ozone concentrations from urban to remote areas in Japan during the COVID-19 pandemic period in April and May, 2020 S. Itahashi et al.
- Regional-Scale Dispersion and Concentration Prediction of Emerging Pollutants: From Mechanistic Models to Intelligent Algorithms 美. 陈
- Impacts of reductions in anthropogenic emissions from 2015 to 2024 on PM2.5 and meteorological conditions over China D. Li et al.
- Identification of Local and Transboundary Sources and Mechanisms of PM2.5 and O3 Pollution on the Tibetan Plateau: Implications for Sustainable Air Quality Governance Y. Li et al.
- Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al.
- Recent progress, bottlenecks, and outlook of multiscale air quality modelling: a review Y. Dai et al.
13 citations as recorded by crossref.
- The role of dust mineral composition in atmospheric radiation and pollution in North China: new insights from EMIT and two-way coupled modeling C. Gao et al.
- Analysis of chemical and transport processes of biogenic aerosols over the northern Apennines: insights from the WRF-CHIMERE model B. Vitali et al.
- BVOCs' role in dynamic shifts of summer ozone formation regimes across China and policy implications C. Gao et al.
- From sensitivity regimes to policy action: Evaluating EKMA curve effectiveness with WRF-Chem, OBM, and machine learning X. Ye et al.
- Quantifying the impacts of environmental stress factors on biogenic volatile organic compound emissions in China C. Gao et al.
- Model Intercomparisons of MEGAN and BEIS: Synergistic Impacts of Biogenic VOCs and Soil NO Emissions on Summer Ozone and Secondary Organic Aerosol Formation in China C. Gao et al.
- High-resolution anthropogenic emission inventory for China (2015–2024): Spatiotemporal changes and environmental application D. Li et al.
- Changes in ambient ozone concentrations from urban to remote areas in Japan during the COVID-19 pandemic period in April and May, 2020 S. Itahashi et al.
- Regional-Scale Dispersion and Concentration Prediction of Emerging Pollutants: From Mechanistic Models to Intelligent Algorithms 美. 陈
- Impacts of reductions in anthropogenic emissions from 2015 to 2024 on PM2.5 and meteorological conditions over China D. Li et al.
- Identification of Local and Transboundary Sources and Mechanisms of PM2.5 and O3 Pollution on the Tibetan Plateau: Implications for Sustainable Air Quality Governance Y. Li et al.
- Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al.
- Recent progress, bottlenecks, and outlook of multiscale air quality modelling: a review Y. Dai et al.
Saved (final revised paper)
Latest update: 06 May 2026
Short summary
A comprehensive comparison study is conducted targeting the performances of three two-way coupled meteorology and air quality models (WRF-CMAQ, WRF-Chem, and WRF-CHIMERE) for eastern China during 2017. The impacts of aerosol–radiation–cloud interactions on these models’ results are evaluated against satellite and surface observations. Further improvements to the calculation of aerosol–cloud interactions in these models are crucial to ensure more accurate and timely air quality forecasts.
A comprehensive comparison study is conducted targeting the performances of three two-way...
