Articles | Volume 19, issue 23
https://doi.org/10.5194/acp-19-14477-2019
© Author(s) 2019. 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-19-14477-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantifying the impact of synoptic circulation patterns on ozone variability in northern China from April to October 2013–2017
Jingda Liu
Department of Atmospheric Physics, Nanjing University of Information
Science & Technology, Nanjing 210044, China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, Finland
Mingge Li
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
University of Chinese Academy of Sciences, Beijing 100049, China
Zhiheng Liao
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou,
Guangdong, China
Yang Sun
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Tao Song
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Wenkang Gao
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Yonghong Wang
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, Finland
Yan Li
Fangshan Meteorological Bureau, Beijing 102488, China
Dongsheng Ji
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Veli-Matti Kerminen
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, Finland
Yuesi Wang
Department of Atmospheric Physics, Nanjing University of Information
Science & Technology, Nanjing 210044, China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Centre for Excellence in Atmospheric Urban Environment, Institute of
Urban Environment, Chinese Academy of Science, Xiamen, Fujian 361021, China
University of Chinese Academy of Sciences, Beijing 100049, China
Markku Kulmala
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, Finland
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73 citations as recorded by crossref.
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- Assessment of the Meteorological Impact on Improved PM2.5 Air Quality Over North China During 2016–2019 Based on a Regional Joint Atmospheric Composition Reanalysis Data‐Set X. Kou et al. 10.1029/2020JD034382
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73 citations as recorded by crossref.
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- Subseasonal characteristics and meteorological causes of surface O3 in different East Asian summer monsoon periods over the North China Plain during 2014–2019 L. Gao et al. 10.1016/j.atmosenv.2021.118704
- A high ozone event over Beijing after the May 2017 Belt and Road Forum J. Xu et al. 10.1016/j.apr.2020.12.019
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- Prediction of daily PM2.5 and ozone based on high-density weather stations in China: Nonlinear effects of meteorology, human and ecosystem health risks L. Wang et al. 10.1016/j.atmosres.2023.106889
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- An intercomparison of ozone taken from the Copernicus atmosphere monitoring service and the second Modern-Era retrospective analysis for research and applications over China during 2018 and 2019 Y. Zhang et al. 10.1016/j.jes.2022.01.045
- Analysis on temporal variation law of ozone pollution and meteorological driving factors in Pudong New Area of Shanghai J. Guan et al. 10.1002/ep.14089
- Investigating trends and causes of simultaneous high pollution from PM2.5 and ozone in China, 2015–2023 F. Wang et al. 10.1016/j.apr.2024.102351
- Distribution and Formation Causes of PM2.5 and O3 Double High Pollution Events in China during 2013–20 Z. Tong et al. 10.1007/s00376-023-3156-9
- Health impacts of long-term ozone exposure in China over 2013–2017 Y. Wang et al. 10.1016/j.envint.2020.106030
- Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences K. Li et al. 10.5194/acp-20-11423-2020
- A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations W. Chen et al. 10.1007/s00376-021-1257-x
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- Effects of synoptic patterns on the vertical structure of ozone in Hong Kong using lidar measurement C. Lin et al. 10.1016/j.atmosenv.2021.118490
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
- Long-Term (2005–2017) View of Atmospheric Pollutants in Central China Using Multiple Satellite Observations R. Li et al. 10.3390/rs12061041
- Spatiotemporal Variations in Summertime Ground-Level Ozone around Gasoline Stations in Shenzhen between 2014 and 2020 Y. Mei et al. 10.3390/su14127289
- Impact of synoptic climate system interaction on surface ozone in China during 1950–2014 A. Song et al. 10.1016/j.atmosenv.2022.119126
- A comprehensive investigation of surface ozone pollution in China, 2015–2019: Separating the contributions from meteorology and precursor emissions S. Mousavinezhad et al. 10.1016/j.atmosres.2021.105599
- Contrasting effects of clean air actions on surface ozone concentrations in different regions over Beijing from May to September 2013–2020 L. Zhang et al. 10.1016/j.scitotenv.2023.166182
- Local production, downward and regional transport aggravated surface ozone pollution during the historical orange-alert large-scale ozone episode in eastern China Y. Zhang et al. 10.1007/s10311-022-01421-0
- Anomaly-based synoptic analysis to identify and predict meteorological conditions of strong ozone events in North China W. Qian et al. 10.1007/s11869-022-01208-w
- Integrated process analysis retrieval of changes in ground-level ozone and fine particulate matter during the COVID-19 outbreak in the coastal city of Kannur, India F. Ye et al. 10.1016/j.envpol.2022.119468
- Distinct responses of urban and rural O3 pollution with secondary particle changes to anthropogenic emission reductions: Insights from a case study over North China Y. Luo et al. 10.1016/j.scitotenv.2024.175340
- Increasing wintertime ozone levels and secondary aerosol formation in the Guanzhong basin, central China T. Feng et al. 10.1016/j.scitotenv.2020.140961
- Understanding the formation of high-ozone episodes at Raoyang, a rural site in the north China plain J. Xu et al. 10.1016/j.atmosenv.2020.117797
- Characteristics and Meteorological Effects of Ozone Pollution in Spring Season at Coastal City, Southeast China S. Ren et al. 10.3390/atmos13122000
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Latest update: 12 Nov 2024
Short summary
We analyzed the surface ozone variation characteristics and quantified the impact of synoptic and local meteorological factors on northern China during the warm season based on multi-city, in situ ozone and meteorological data, as well as meteorological reanalysis. The results of quantitative exploration on synoptic and local meteorological factors influencing both interannual and day-to-day ozone variations will provide the scientific basis for evaluating emission reduction measures.
We analyzed the surface ozone variation characteristics and quantified the impact of synoptic...
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