ACPD Atmospheric Chemistry and Physics Discussions ACPD Atmos. Chem. Phys. Discuss. 1680-7375 Göttingen, Germany 10.5194/acp-2016-204 Contributions of meteorology and emission to the 2015 winter severe haze pollution episodes in Northern China Liu Ting Ting 1 2 Gong Sunling 2 Yu Meng 3 Zhao Qi Chao 4 Li Huai Rui 4 He Jian Jun 5 Zhang Jie 3 Li Lei 3 Wang Xu Guan 3 Li Shu Li 3 Lu Yan Li 3 Du Hai Tao 6 Wang Ya Qiang 2 Zhou Chun Hong 2 Liu Hong Li 2 School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China Langfang Bureau of Environmental Protection, Langfang, Hebei, China Langfang Haihong Environmental Protection S&T Co., Langfang, Hebei, China The College of Environmental Science & Engineering, Nankai University, Tianjin 300071, China Langfang Bureau of Meteorology, Langfang, Hebei, China 04 04 2016 2016 1 17 Copyright: © 2016 Ting Ting Liu et al. 2016 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://acp.copernicus.org/preprints/acp-2016-204/ The full text article is available as a PDF file from https://acp.copernicus.org/preprints/acp-2016-204/acp-2016-204.pdf

Northern China in the 2015 winter months of November and December has witnessed the most severe air pollution phenomena since the 2013 winter haze events occurred, which triggered the first ever Red Alert in the air pollution control history of Beijing, with an instantaneous PM<sub>2.5</sub> concentration over 1 mg m<sup>&minus;3</sup>. Analysis and modeling results show that the worsening meteorology conditions are the main reason behind this unusual increase of air pollutant concentrations and the emission control measures taken during this period of time have contributed to mitigate the air pollution in the region. This work provides a scientific insight of the emission control measures vs. meteorology impacts for the period.