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Discussion papers
https://doi.org/10.5194/acp-2019-485
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-485
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 07 Jun 2019

Submitted as: research article | 07 Jun 2019

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This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Atmospheric Chemistry and Physics (ACP) and is expected to appear here in due course.

Quantifying the impact of synoptic circulations on ozone variations in North China from April–October 2013–2017

Jingda Liu1,2, Lili Wang2,3, Mingge Li2,4, Zhiheng Liao5, Yang Sun2, Tao Song2, Wenkang Gao2, Yonghong Wang3, Yan Li6, Dongsheng Ji2, Bo Hu2, Veli-Matti Kerminen3, Yuesi Wang1,2,4,5, and Markku Kulmala3 Jingda Liu et al.
  • 1Department of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 2State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academyof Sciences, Beijing 100029, China
  • 3Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, Finland
  • 4University of Chinese Academy of Sciences, Beijing 100049, China
  • 5School of Atmospheric Sciences, SunYat-sen University, Guangzhou, Guangdong, Chi
  • 6Fangshan Meteorological Bureau, Beijing, 102488, China

Abstract. The ozone variation characteristics and the impact of synoptic and local meteorological factors in North China were analysed quantitively during the warm season from 2013 to 2017 based on multi-city, in-situ ozone and meteorological data, as well as meteorological reanalysis. The domain-averaged maximum daily 8-h running average O3 (MDA8 O3) concentration was 122 ± 11 μg m−3 with an increase rate of 7.88 μg m−3 year−1, and the three most highly-polluted months were June (149 μg m−3), May (138 μg m−3) and July (132 μg m−3), which was closely related to synoptic circulation variations. Twenty-six synoptic circulation types (merged into 5 weather categories) were objectively identified using the Lamb-Jenkinson method. The highly-polluted weather categories included S-W-N directions, LP (low-pressure related circulation patterns) and C (cyclone type), and corresponding domain-averaged MDA8 O3 concentration were 122, 126 and 128 μg m−3, respectively. Based on the frequency and intensity changes of synoptic circulations, 39.2 % of the inter-annual domain-averaged O3 increase from 2013 to 2017 was attributed to synoptic changes, and intensity of synoptic circulations was the dominant factor. Using synoptic classification and local meteorological factors, the segmented synoptic-regression approach was established to evaluate and forecast daily ozone variations on an urban scale. The results showed that this method is practicable in most cities, and that the dominant factors are the maximum temperature, southerly winds, relative humidity in the previous and in the same day, and total cloud cover. Overall, 43–64 % of the day-to-day variability of MDA8 O3 concentrations was due to local meteorological variations in most cities over North China, except for QHD~32 % and ZZ~25 %. Our quantitative exploration on synoptic and local meteorological factors influencing both on inter-annual and day-to-day ozone variations will provide the scientific basis for evaluating emission reduction measures, since the national and local governments have implemented a series of measures to mitigate air pollution in North China in these five years.

Jingda Liu et al.
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Jingda Liu et al.
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Short summary
We analyzed the surface ozone variation characteristics and quantified the impact of synoptic and local meteorological factors on North China during the warm season based on multi-city, in-situ ozone and meteorological data, as well as meteorological reanalysis. The result of quantitative exploration on synoptic and local meteorological factors influencing both on inter-annual 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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