Articles | Volume 18, issue 23
https://doi.org/10.5194/acp-18-17489-2018
© Author(s) 2018. 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-18-17489-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Dec 2018
Research article |
| 11 Dec 2018
| 11 Dec 2018
Insignificant effect of climate change on winter haze pollution in Beijing
Lu Shen
CORRESPONDING AUTHOR
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
Daniel J. Jacob
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
Loretta J. Mickley
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
Yuxuan Wang
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, USA
Department of Earth System Science, Tsinghua University, Beijing, China
Qiang Zhang
Department of Earth System Science, Tsinghua University, Beijing, China
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Cited
37 citations as recorded by crossref.
- Intraseasonal variation and future projection of atmospheric diffusion conditions conducive to extreme haze formation over eastern China W. FENG et al. https://doi.org/10.1080/16742834.2020.1745054
- Future projections of daily haze-conducive and clear weather conditions over the North China Plain using a perturbed parameter ensemble S. Jain et al. https://doi.org/10.5194/acp-22-7443-2022
- Stringent Emission Controls Are Needed to Reach Clean Air Targets for Cities in China under a Warming Climate R. Wang et al. https://doi.org/10.1021/acs.est.1c08403
- Asymmetrical Linkages Between Multifrequency Atmospheric Waves and Variations in Winter PM2.5 Concentrations in Northern China During 2013–2019 W. Chang & J. Zhan https://doi.org/10.1029/2019JD031999
- Observed sensitivities of PM2.5 and O3 extremes to meteorological conditions in China and implications for the future X. Zhang et al. https://doi.org/10.1016/j.envint.2022.107428
- Changes in concentrations of fine and coarse particles under the CO2-induced global warming D. Yang et al. https://doi.org/10.1016/j.atmosres.2019.104637
- Modeling PM2.5 and O3 with aerosol feedbacks using WRF/Chem over the Sichuan Basin, southwestern China P. Wang et al. https://doi.org/10.1016/j.chemosphere.2020.126735
- Augmented Reality (AR) Technology Advancing Climate Science Education: A Case Study of Waste Sorting B. Wang & J. Xie https://doi.org/10.1007/s10956-025-10269-2
- 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
- Meteorological factors related to winter severe PM2.5 pollution in China: In perspective of thresholds and relation of occurrence frequency with East Asian trough Y. Li et al. https://doi.org/10.1016/j.apr.2023.102002
- Fine particulate matter (PM2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology S. Zhai et al. https://doi.org/10.5194/acp-19-11031-2019
- Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China P. Wang et al. https://doi.org/10.1016/j.scitotenv.2019.01.227
- Impact of El Niño-Southern Oscillation on Dust Variability during the Spring Season over the Arabian Peninsula Y. Alsubhi & G. Ali https://doi.org/10.3390/atmos15091060
- Potential for Electric Vehicle Adoption to Mitigate Extreme Air Quality Events in China J. Schnell et al. https://doi.org/10.1029/2020EF001788
- Intrinsic atmospheric circulation patterns associated with high PM2.5 concentration days in South Korea during the cold season Y. Jeong et al. https://doi.org/10.1016/j.scitotenv.2022.160878
- Meteorological Change and Impacts on Air Pollution: Results From North China Z. Xu et al. https://doi.org/10.1029/2020JD032423
- Air Pollution Zone Migrates South Driven by East Asian Winter Monsoon and Climate Change S. Zhao et al. https://doi.org/10.1029/2021GL092672
- Possible Link Between Arctic Sea Ice and January PM10 Concentrations in South Korea J. Kim et al. https://doi.org/10.3390/atmos10100619
- Comment on “Insignificant effect of climate change on winter haze pollution in Beijing” by Shen et al. (2018) R. Liu et al. https://doi.org/10.5194/acp-19-8563-2019
- Fast sulfate formation from oxidation of SO2 by NO2 and HONO observed in Beijing haze J. Wang et al. https://doi.org/10.1038/s41467-020-16683-x
- Impacts of meteorological conditions on the NASM pollution data assimilation system S. Zhang et al. https://doi.org/10.1016/j.aosl.2024.100586
- China's emission control strategies have suppressed unfavorable influences of climate on wintertime PM2.5 concentrations in Beijing since 2002 M. Gao et al. https://doi.org/10.5194/acp-20-1497-2020
- Secondary aerosol formation in winter haze over the Beijing-Tianjin-Hebei Region, China D. Shang et al. https://doi.org/10.1007/s11783-020-1326-x
- Spatial source apportionment of airborne coarse particulate matter using PMF-Bayesian receptor model T. Dai et al. https://doi.org/10.1016/j.scitotenv.2024.170235
- Relative importance of meteorological variables on air quality and role of boundary layer height Y. Huang et al. https://doi.org/10.1016/j.atmosenv.2021.118737
- Assessment of the effect of meteorological and emission variations on winter PM2.5 over the North China Plain in the three-year action plan against air pollution in 2018–2020 H. Du et al. https://doi.org/10.1016/j.atmosres.2022.106395
- The relationship between anticyclonic anomalies in northeastern Asia and severe haze in the Beijing–Tianjin–Hebei region W. Zhong et al. https://doi.org/10.5194/acp-19-5941-2019
- Separation of meteorological and anthropogenic contributions to major ambient pollutants using an integrated explainable machine learning framework: RMT-PAS H. Ke et al. https://doi.org/10.1016/j.atmosenv.2025.121667
- Multi‐Index Attribution of Extreme Winter Air Quality in Beijing, China C. Callahan et al. https://doi.org/10.1029/2018JD029738
- Is reducing new particle formation a plausible solution to mitigate particulate air pollution in Beijing and other Chinese megacities? M. Kulmala et al. https://doi.org/10.1039/D0FD00078G
- Existence of typical winter atmospheric circulation patterns leading to high PM2.5 concentration days in East Asia Y. Jeong et al. https://doi.org/10.1016/j.envpol.2024.123829
- Separating emission and meteorological contributions to long-term PM2.5 trends over eastern China during 2000–2018 Q. Xiao et al. https://doi.org/10.5194/acp-21-9475-2021
- The Influence of Internal Climate Variability on Projections of Synoptically Driven Beijing Haze C. Callahan & J. Mankin https://doi.org/10.1029/2020GL088548
- Seasonal and multi-scale difference of the relationship between built-up land landscape pattern and PM2.5 concentration distribution in Nanjing J. Meng et al. https://doi.org/10.1016/j.ecolind.2023.111079
- Winter particulate pollution severity in North China driven by atmospheric teleconnections J. Li et al. https://doi.org/10.1038/s41561-022-00933-2
- Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China S. Zhang et al. https://doi.org/10.5194/acp-22-16017-2022
- Quasi-Biweekly Oscillation of PM2.5 in Winter over North China and Its Leading Circulation Patterns X. Zhu & C. Yao https://doi.org/10.3390/rs15164069
37 citations as recorded by crossref.
- Intraseasonal variation and future projection of atmospheric diffusion conditions conducive to extreme haze formation over eastern China W. FENG et al. https://doi.org/10.1080/16742834.2020.1745054
- Future projections of daily haze-conducive and clear weather conditions over the North China Plain using a perturbed parameter ensemble S. Jain et al. https://doi.org/10.5194/acp-22-7443-2022
- Stringent Emission Controls Are Needed to Reach Clean Air Targets for Cities in China under a Warming Climate R. Wang et al. https://doi.org/10.1021/acs.est.1c08403
- Asymmetrical Linkages Between Multifrequency Atmospheric Waves and Variations in Winter PM2.5 Concentrations in Northern China During 2013–2019 W. Chang & J. Zhan https://doi.org/10.1029/2019JD031999
- Observed sensitivities of PM2.5 and O3 extremes to meteorological conditions in China and implications for the future X. Zhang et al. https://doi.org/10.1016/j.envint.2022.107428
- Changes in concentrations of fine and coarse particles under the CO2-induced global warming D. Yang et al. https://doi.org/10.1016/j.atmosres.2019.104637
- Modeling PM2.5 and O3 with aerosol feedbacks using WRF/Chem over the Sichuan Basin, southwestern China P. Wang et al. https://doi.org/10.1016/j.chemosphere.2020.126735
- Augmented Reality (AR) Technology Advancing Climate Science Education: A Case Study of Waste Sorting B. Wang & J. Xie https://doi.org/10.1007/s10956-025-10269-2
- 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
- Meteorological factors related to winter severe PM2.5 pollution in China: In perspective of thresholds and relation of occurrence frequency with East Asian trough Y. Li et al. https://doi.org/10.1016/j.apr.2023.102002
- Fine particulate matter (PM2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology S. Zhai et al. https://doi.org/10.5194/acp-19-11031-2019
- Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China P. Wang et al. https://doi.org/10.1016/j.scitotenv.2019.01.227
- Impact of El Niño-Southern Oscillation on Dust Variability during the Spring Season over the Arabian Peninsula Y. Alsubhi & G. Ali https://doi.org/10.3390/atmos15091060
- Potential for Electric Vehicle Adoption to Mitigate Extreme Air Quality Events in China J. Schnell et al. https://doi.org/10.1029/2020EF001788
- Intrinsic atmospheric circulation patterns associated with high PM2.5 concentration days in South Korea during the cold season Y. Jeong et al. https://doi.org/10.1016/j.scitotenv.2022.160878
- Meteorological Change and Impacts on Air Pollution: Results From North China Z. Xu et al. https://doi.org/10.1029/2020JD032423
- Air Pollution Zone Migrates South Driven by East Asian Winter Monsoon and Climate Change S. Zhao et al. https://doi.org/10.1029/2021GL092672
- Possible Link Between Arctic Sea Ice and January PM10 Concentrations in South Korea J. Kim et al. https://doi.org/10.3390/atmos10100619
- Comment on “Insignificant effect of climate change on winter haze pollution in Beijing” by Shen et al. (2018) R. Liu et al. https://doi.org/10.5194/acp-19-8563-2019
- Fast sulfate formation from oxidation of SO2 by NO2 and HONO observed in Beijing haze J. Wang et al. https://doi.org/10.1038/s41467-020-16683-x
- Impacts of meteorological conditions on the NASM pollution data assimilation system S. Zhang et al. https://doi.org/10.1016/j.aosl.2024.100586
- China's emission control strategies have suppressed unfavorable influences of climate on wintertime PM2.5 concentrations in Beijing since 2002 M. Gao et al. https://doi.org/10.5194/acp-20-1497-2020
- Secondary aerosol formation in winter haze over the Beijing-Tianjin-Hebei Region, China D. Shang et al. https://doi.org/10.1007/s11783-020-1326-x
- Spatial source apportionment of airborne coarse particulate matter using PMF-Bayesian receptor model T. Dai et al. https://doi.org/10.1016/j.scitotenv.2024.170235
- Relative importance of meteorological variables on air quality and role of boundary layer height Y. Huang et al. https://doi.org/10.1016/j.atmosenv.2021.118737
- Assessment of the effect of meteorological and emission variations on winter PM2.5 over the North China Plain in the three-year action plan against air pollution in 2018–2020 H. Du et al. https://doi.org/10.1016/j.atmosres.2022.106395
- The relationship between anticyclonic anomalies in northeastern Asia and severe haze in the Beijing–Tianjin–Hebei region W. Zhong et al. https://doi.org/10.5194/acp-19-5941-2019
- Separation of meteorological and anthropogenic contributions to major ambient pollutants using an integrated explainable machine learning framework: RMT-PAS H. Ke et al. https://doi.org/10.1016/j.atmosenv.2025.121667
- Multi‐Index Attribution of Extreme Winter Air Quality in Beijing, China C. Callahan et al. https://doi.org/10.1029/2018JD029738
- Is reducing new particle formation a plausible solution to mitigate particulate air pollution in Beijing and other Chinese megacities? M. Kulmala et al. https://doi.org/10.1039/D0FD00078G
- Existence of typical winter atmospheric circulation patterns leading to high PM2.5 concentration days in East Asia Y. Jeong et al. https://doi.org/10.1016/j.envpol.2024.123829
- Separating emission and meteorological contributions to long-term PM2.5 trends over eastern China during 2000–2018 Q. Xiao et al. https://doi.org/10.5194/acp-21-9475-2021
- The Influence of Internal Climate Variability on Projections of Synoptically Driven Beijing Haze C. Callahan & J. Mankin https://doi.org/10.1029/2020GL088548
- Seasonal and multi-scale difference of the relationship between built-up land landscape pattern and PM2.5 concentration distribution in Nanjing J. Meng et al. https://doi.org/10.1016/j.ecolind.2023.111079
- Winter particulate pollution severity in North China driven by atmospheric teleconnections J. Li et al. https://doi.org/10.1038/s41561-022-00933-2
- Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China S. Zhang et al. https://doi.org/10.5194/acp-22-16017-2022
- Quasi-Biweekly Oscillation of PM2.5 in Winter over North China and Its Leading Circulation Patterns X. Zhu & C. Yao https://doi.org/10.3390/rs15164069
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