Impact of Climate Change on Siberian High and Wintertime Air Pollution in China in Past Two Decades

• Published in: Earth's Future
• Main Authors: Zhao, Shuyu, Feng, Tian, Tie, Xuexi, Long, Xin, Li, Guohui, Cao, Junji, Zhou, Weijian, An, Zhisheng
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2018
• Subjects: Climate Change; Siberian High; Air Pollution; North China Plain; Wrf-chem; Science & Technology; Life Sciences & Biomedicine; Physical Sciences; ARCTIC SEA-ICE; ORGANIC AEROSOL CONCENTRATIONS; MEXICO-CITY; MCMA-2006/MILAGRO CAMPAIGN; MIDLATITUDE WEATHER; BLACK CARBON; SEVERE HAZE; PART I; MODEL; Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric Sciences; Environmental Sciences; Geosciences; Multidisciplinary; Arctic; black carbon; Climate change; Sea ice
• Online Access: http://ir.ieecas.cn/handle/361006/5228; https://doi.org/10.1002/2017EF000682

China has suffered severe air pollutions during wintertime as national industrialization and urbanization have been increasingly developed in the past decades. Recent studies suggest that climate change has important impacts on extreme haze events in northern China. This study uses reanalysis datasets to analyze the trend and variability of Siberian High (SiH) intensity, and its relationship with the Arctic temperature and sea ice cover (SIC) in past two decades. The results show that Arctic is warming accompanied by a rapid decline of SIC, while Eurasia is cooling and SiH intensity is gradually enhancing. The statistics illustrates that the SiH has a significantly positive correlation to the temperature (R = 0.70), and a significant anticorrelation to the SIC (R = -0.69), and this is because the warming Arctic and the reducing SIC enhanced the SiH. The enhanced SiH leads to strengthened northerly winds in the North China Plain (NCP). The WRF-Chem model calculation reveals the strengthened northerly winds during the stronger SiH period in January 2016 produce a significant decrease in PM2.5 (particulate matter with aerodynamic diameter less than 2.5 mu m) concentrations by 100-200 mu g m(-3) than that during the weaker one in January 2013. A sensitivity calculation figures out the reduction of PM2.5 concentrations due to a decrease of 50% in emissions is comparable to changes from the weak SiH condition to the strong SiH condition, suggesting that extreme climate variability in the past few years could have an equivalent impact as a consequence of a large emission reduction on wintertime air pollution in the NCP.