Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2491-2021
© Author(s) 2021. 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-21-2491-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Feb 2021
Research article |
| 19 Feb 2021
| 19 Feb 2021
Dominant synoptic patterns associated with the decay process of PM2.5 pollution episodes around Beijing
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, China
Big Data Institute for Carbon Emission and Environmental Pollution, Fudan University, Shanghai, China
Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China
Renhe Zhang
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, China
Big Data Institute for Carbon Emission and Environmental Pollution, Fudan University, Shanghai, China
Yanke Tan
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, China
Big Data Institute for Carbon Emission and Environmental Pollution, Fudan University, Shanghai, China
Wei Yu
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, China
Shanghai Ecological Forecasting and Remote Sensing Center, Shanghai, China
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Cited
25 citations as recorded by crossref.
- Major ions and potentially toxic elements in atmospheric precipitation during the COVID-19 lockdown in Moscow megacity D. Vlasov et al.
- 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.
- Atmospheric circulation anomaly over mid- and high-latitudes and its association with severe persistent haze events in Beijing W. Hua & B. Wu
- Dominant mechanism underlying the explosive growth of summer surface O3 concentrations in the Beijing-Tianjin-Hebei Region, China J. Du et al.
- Statistical characteristics, circulation patterns, and environmental features of severe convective wind events in Beijing H. Yang et al.
- MERRA-2 PM2.5 mass concentration reconstruction in China mainland based on LightGBM machine learning J. Ma et al.
- Impact of Fengyun-4A Atmospheric Motion Vector Data Assimilation on PM2.5 Simulation K. Gu et al.
- Quasi-Biweekly Oscillation of PM2.5 in Winter over North China and Its Leading Circulation Patterns X. Zhu & C. Yao
- Attributing meteorological contributions to wintertime PM2.5 in China across synoptic weather patterns using machine learning Y. Zhang et al.
- Comparison of the influence of two types of cold surge on haze dispersion in eastern China S. Zhang et al.
- Can we reach consensus on the dominant sulfate formation pathway in China's haze? M. Liu et al.
- Opposite trends of cold surges over South China Sea and Philippines Sea and their different impacts on PM2.5 in eastern China S. Zhang et al.
- Meteorological factor contributions to the seesaw concentration pattern between PM2.5 and O3 in Shanghai Y. Sun & X. Wang
- Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China S. Zhang et al.
- Evolving regional transport of PM2.5 in Beijing–Tianjin–Hebei and its surrounding areas from 2013 to 2020 Y. Liu et al.
- Causation inference in complicated atmospheric environment Z. Chen et al.
- Atmospheric circulation anomalies related to the winter PM2.5 mass concentration rapid decline cases in Beijing, China Y. Ren et al.
- The role of temporal scales in extracting dominant meteorological drivers of major airborne pollutants M. Xu et al.
- A skillful hybrid framework for seamless subseasonal PM2.5 prediction over North China Y. Li et al.
- The vertical pollution structure reflected by aerosol optical properties in Beijing and its relation with meteorological conditions in the autumn and winter of 2017–2020 T. Zhang et al.
- Long-term planetary boundary layer features and associated PM2.5 pollution anomalies in Beijing during the past 40 years Y. Yan et al.
- Warming of mid-latitude North Atlantic Sea surface temperature strengthens the daily variability of winter PM2.5 in eastern China S. Zhang et al.
- Evolution of atmospheric age of particles and its implications for the formation of a severe haze event in eastern China X. Xie et al.
- Quasi-weekly oscillation of regional PM2.5 transport over China driven by the synoptic-scale disturbance of the East Asian winter monsoon circulation Y. Bai et al.
- Influence of Decadal Ocean Signals on Meteorological Conditions Associated With the Winter Haze Over Eastern China W. Zhang et al.
25 citations as recorded by crossref.
- Major ions and potentially toxic elements in atmospheric precipitation during the COVID-19 lockdown in Moscow megacity D. Vlasov et al.
- 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.
- Atmospheric circulation anomaly over mid- and high-latitudes and its association with severe persistent haze events in Beijing W. Hua & B. Wu
- Dominant mechanism underlying the explosive growth of summer surface O3 concentrations in the Beijing-Tianjin-Hebei Region, China J. Du et al.
- Statistical characteristics, circulation patterns, and environmental features of severe convective wind events in Beijing H. Yang et al.
- MERRA-2 PM2.5 mass concentration reconstruction in China mainland based on LightGBM machine learning J. Ma et al.
- Impact of Fengyun-4A Atmospheric Motion Vector Data Assimilation on PM2.5 Simulation K. Gu et al.
- Quasi-Biweekly Oscillation of PM2.5 in Winter over North China and Its Leading Circulation Patterns X. Zhu & C. Yao
- Attributing meteorological contributions to wintertime PM2.5 in China across synoptic weather patterns using machine learning Y. Zhang et al.
- Comparison of the influence of two types of cold surge on haze dispersion in eastern China S. Zhang et al.
- Can we reach consensus on the dominant sulfate formation pathway in China's haze? M. Liu et al.
- Opposite trends of cold surges over South China Sea and Philippines Sea and their different impacts on PM2.5 in eastern China S. Zhang et al.
- Meteorological factor contributions to the seesaw concentration pattern between PM2.5 and O3 in Shanghai Y. Sun & X. Wang
- Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China S. Zhang et al.
- Evolving regional transport of PM2.5 in Beijing–Tianjin–Hebei and its surrounding areas from 2013 to 2020 Y. Liu et al.
- Causation inference in complicated atmospheric environment Z. Chen et al.
- Atmospheric circulation anomalies related to the winter PM2.5 mass concentration rapid decline cases in Beijing, China Y. Ren et al.
- The role of temporal scales in extracting dominant meteorological drivers of major airborne pollutants M. Xu et al.
- A skillful hybrid framework for seamless subseasonal PM2.5 prediction over North China Y. Li et al.
- The vertical pollution structure reflected by aerosol optical properties in Beijing and its relation with meteorological conditions in the autumn and winter of 2017–2020 T. Zhang et al.
- Long-term planetary boundary layer features and associated PM2.5 pollution anomalies in Beijing during the past 40 years Y. Yan et al.
- Warming of mid-latitude North Atlantic Sea surface temperature strengthens the daily variability of winter PM2.5 in eastern China S. Zhang et al.
- Evolution of atmospheric age of particles and its implications for the formation of a severe haze event in eastern China X. Xie et al.
- Quasi-weekly oscillation of regional PM2.5 transport over China driven by the synoptic-scale disturbance of the East Asian winter monsoon circulation Y. Bai et al.
- Influence of Decadal Ocean Signals on Meteorological Conditions Associated With the Winter Haze Over Eastern China W. Zhang et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
The physical mechanisms of synoptic patterns affecting the decay process of air pollution episodes are investigated in this work. Three dominant circulation patterns are identified, which usually decrease the ambient PM2.5 concentrations by 27%–41% after they arrive around Beijing. Emission reductions led to a 4.3–5.7 μg (m3 yr-1)-1 decrease in PM2.5 concentrations around Beijing during 2014 to 2020.
The physical mechanisms of synoptic patterns affecting the decay process of air pollution...
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