Articles | Volume 22, issue 10
https://doi.org/10.5194/acp-22-6471-2022
© Author(s) 2022. 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-22-6471-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The impact of large-scale circulation on daily fine particulate matter (PM2.5) over major populated regions of China in winter
Zixuan Jia
CORRESPONDING AUTHOR
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Ruth M. Doherty
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Carlos Ordóñez
Departamento de Física de la Tierra y Astrofísica, Facultad
de Ciencias Físicas, Universidad Complutense de Madrid, Madrid, Spain
Chaofan Li
Center for Monsoon System Research, Institute of Atmospheric Physics,
Chinese Academy of Sciences, Beijing, China
College of Earth and Planetary Sciences, University of the Chinese
Academy of Sciences, Beijing, China
Oliver Wild
Lancaster Environment Centre, Lancaster University, Lancaster, UK
Shipra Jain
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Xiao Tang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, China
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Cited
14 citations as recorded by crossref.
- Mechanisms of synoptic circulation patterns influencing winter/spring PM2.5 concentrations in South Korea J. Esther Kim & C. Yoo https://doi.org/10.1016/j.atmosenv.2024.121016
- A Physics-Constrained Deep-Learning Framework based on Long-Term Remote-Sensing Data for Retrieving Vertical Distribution of PM2.5 Chemical Components H. Li et al. https://doi.org/10.5194/amt-19-2225-2026
- Interpretable machine learning for exploring multiple influencing factors of PM2.5 and their interaction effects Q. Yang et al. https://doi.org/10.1016/j.jes.2026.105560
- Modulation of PM2.5 in tropical South America by the upper-level atmospheric circulation and El Niño-Southern Oscillation phases S. Collazo et al. https://doi.org/10.1016/j.scitotenv.2024.170132
- High PM2.5 episodes in Seoul, Korea, associated with Siberian High intensity K. Kim et al. https://doi.org/10.1007/s00382-025-07703-x
- Atmospheric circulation anomalies related to the winter PM2.5 mass concentration rapid decline cases in Beijing, China Y. Ren et al. https://doi.org/10.1016/j.atmosres.2024.107665
- Synoptic circulation factors associated with wintertime high-PM2.5 concentrations in seoul, Republic of Korea: Their interpretations and applications H. Oh et al. https://doi.org/10.1016/j.atmosenv.2024.120444
- Identification of dominant weather patterns and circulation regulation mechanisms of winter PM₂.₅ pollution in Iran Z. Liu et al. https://doi.org/10.1016/j.atmosres.2026.109287
- Distinct responses of PM2.5 and O3 extremes to persistence of weather conditions in eastern China S. Liu et al. https://doi.org/10.1016/j.atmosenv.2023.119923
- Particle-ozone complex pollution under diverse synoptic weather patterns in the Yangtze River Delta region: Synergistic relationships and the effects of meteorology and chemical compositions Y. Zhan et al. https://doi.org/10.1016/j.scitotenv.2024.174365
- Study on the Concentration of Top Air Pollutants in Xuzhou City in Winter 2020 Based on the WRF-Chem and ADMS-Urban Models W. Liu et al. https://doi.org/10.3390/atmos15010129
- Frequent haze events associated with transport and stagnation over the corridor between the North China Plain and Yangtze River Delta F. Yan et al. https://doi.org/10.5194/acp-24-2365-2024
- Interannual Meteorological Forcing and Spatial Heterogeneity of Winter PM2.5 Regimes in Central China Y. He et al. https://doi.org/10.3390/atmos17050502
- Modulation of daily PM2.5 concentrations over China in winter by large-scale circulation and climate change Z. Jia et al. https://doi.org/10.5194/acp-23-2829-2023
14 citations as recorded by crossref.
- Mechanisms of synoptic circulation patterns influencing winter/spring PM2.5 concentrations in South Korea J. Esther Kim & C. Yoo https://doi.org/10.1016/j.atmosenv.2024.121016
- A Physics-Constrained Deep-Learning Framework based on Long-Term Remote-Sensing Data for Retrieving Vertical Distribution of PM2.5 Chemical Components H. Li et al. https://doi.org/10.5194/amt-19-2225-2026
- Interpretable machine learning for exploring multiple influencing factors of PM2.5 and their interaction effects Q. Yang et al. https://doi.org/10.1016/j.jes.2026.105560
- Modulation of PM2.5 in tropical South America by the upper-level atmospheric circulation and El Niño-Southern Oscillation phases S. Collazo et al. https://doi.org/10.1016/j.scitotenv.2024.170132
- High PM2.5 episodes in Seoul, Korea, associated with Siberian High intensity K. Kim et al. https://doi.org/10.1007/s00382-025-07703-x
- Atmospheric circulation anomalies related to the winter PM2.5 mass concentration rapid decline cases in Beijing, China Y. Ren et al. https://doi.org/10.1016/j.atmosres.2024.107665
- Synoptic circulation factors associated with wintertime high-PM2.5 concentrations in seoul, Republic of Korea: Their interpretations and applications H. Oh et al. https://doi.org/10.1016/j.atmosenv.2024.120444
- Identification of dominant weather patterns and circulation regulation mechanisms of winter PM₂.₅ pollution in Iran Z. Liu et al. https://doi.org/10.1016/j.atmosres.2026.109287
- Distinct responses of PM2.5 and O3 extremes to persistence of weather conditions in eastern China S. Liu et al. https://doi.org/10.1016/j.atmosenv.2023.119923
- Particle-ozone complex pollution under diverse synoptic weather patterns in the Yangtze River Delta region: Synergistic relationships and the effects of meteorology and chemical compositions Y. Zhan et al. https://doi.org/10.1016/j.scitotenv.2024.174365
- Study on the Concentration of Top Air Pollutants in Xuzhou City in Winter 2020 Based on the WRF-Chem and ADMS-Urban Models W. Liu et al. https://doi.org/10.3390/atmos15010129
- Frequent haze events associated with transport and stagnation over the corridor between the North China Plain and Yangtze River Delta F. Yan et al. https://doi.org/10.5194/acp-24-2365-2024
- Interannual Meteorological Forcing and Spatial Heterogeneity of Winter PM2.5 Regimes in Central China Y. He et al. https://doi.org/10.3390/atmos17050502
- Modulation of daily PM2.5 concentrations over China in winter by large-scale circulation and climate change Z. Jia et al. https://doi.org/10.5194/acp-23-2829-2023
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Latest update: 14 Sep 2026
Short summary
This study investigates the modulation of daily PM2.5 over three major populated regions in China by regional meteorology and large-scale circulation during winter. These results demonstrate the benefits of considering the large-scale circulation for air quality studies. The novel circulation indices proposed here can explain a considerable fraction of the day-to-day variability of PM2.5 and can be combined with regional meteorology to improve our capability to predict the variability of PM2.5.
This study investigates the modulation of daily PM2.5 over three major populated regions in...
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