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DOI	10.1029/2020JD034382
	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
	Kou X.; Peng Z.; Zhang M.; Zhang N.; Lei L.; Zhao X.; Miao S.; Li Z.; Ding Q.
发表日期	2021
ISSN	2169897X
卷号	126 期号:11
英文摘要	In the context of China's clean air policy, the meteorological impacts on improved particulate matter (PM2.5) air quality during 2016–2019 are investigated based on a four-year high-resolution atmospheric composition reanalysis data-set, which has been produced by the Joint Data Assimilation System to resolve long-term fine-scale air quality variability over China. The reanalysis assimilates surface air quality observations using the Weather Research and Forecasting model coupled with Chemistry and an ensemble-based assimilation algorithm, and simultaneous assimilations of meteorological observations, chemical initial conditions (ICs) and emissions are applied to help reduce the uncertainty in meteorology, ICs and the emissions inventory. Further, objective weather classification method is applied to quantitatively explore synoptic circulation pattern changes and associated PM2.5 variability over North China by using this unique reanalysis data-set. PM2.5 reanalysis data are also investigated according to different circulation types, and results indicate that temporal and spatial variations of PM2.5 are found to be closely connected with weather and circulation patterns. The northerly types correspond to the lower PM2.5 levels, while the southerly and easterly types correspond to the higher PM2.5 concentration due to favorable local meteorological conditions. According to the quantitative evaluation on circulation pattern changes, meteorological contribution have played a positive role in improving air quality in the context of China's clean air policy during 2016–2019. This study serves as a basis for future retrospective assessments of air pollutant variation and emissions regulation measures. © 2021. The Authors.
英文关键词	Data Assimilation; Ensemble Square-Root Filter; Joint Data Assimilation System; Lamb-Jenkinson weather type; PM2.5 reanalysis datadata-set; WRF-Chem
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185173
作者单位	Institute of Urban Meteorology, China Meteorological Administration, Beijing, China; School of Atmospheric Sciences, Nanjing University, Nanjing, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Key Laboratory of Mesoscale Severe Weather, Ministry of Education, Nanjing University, Nanjing, China; Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing, China; School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China
推荐引用方式 GB/T 7714	Kou X.,Peng Z.,Zhang M.,等. 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[J],2021,126(11).
APA	Kou X..,Peng Z..,Zhang M..,Zhang N..,Lei L..,...&Ding Q..(2021).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.Journal of Geophysical Research: Atmospheres,126(11).
MLA	Kou X.,et al."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".Journal of Geophysical Research: Atmospheres 126.11(2021).