严中伟,裴琳,周天军,朱江. 2018. 2017年冬季北京霾日极少的大尺度气候和环流背景 - 兼论“霾气候”预测研究[J]. 气象学报, (0):-, doi:10.11676/qxxb2018.056
2017年冬季北京霾日极少的大尺度气候和环流背景 - 兼论“霾气候”预测研究
Unusually few haze days in Beijing during winter 2017 and the underlying large-scale climate anomalies - with implication for ‘haze-climate’ study
投稿时间:2018-04-19  修订日期:2018-08-21
DOI:10.11676/qxxb2018.056
中文关键词:  北京霾,东亚冬季风,极端南风异常,关键区海温,“霾气候”预测
英文关键词:Beijing haze, East Asian winter monsoon, extreme anomalous southerly, sea surface temperature anomaly in the Northwestern Pacific, ‘haze-climate’ prediction
基金项目:国家重点研发计划(2016YFA0600404);国家自然科学基金项目(41475078);中央级公益性科研院所基本科研业务费专项(IUMKY41475078),北京市科技计划课题(Z161100001116065)、河北省气象与生态环境重点实验室开放研究基金项目(Z201605H)
作者单位E-mail
严中伟 中国科学院大气物理研究所中国科学院大学 yzw@tea.ac.cn 
裴琳 中国气象局北京城市气象研究所 lpei@ium.cn 
周天军 中国科学院大气物理研究所中国科学院大学 zhoutj@lasg.iap.ac.cn 
朱江 中国科学院大气物理研究所中国科学院大学 jzhu@mail.iap.ac.cn 
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中文摘要:
      近年北京霾问题受到广泛关注。2017年冬季北京霾日显著偏少,同样令人瞩目。Pei等(2018)提出一种影响北京持续性霾事件多寡的大尺度气候和环流背景机制,指出西北太平洋关键区(K区)海表温度异常起重要作用。本文据此对比分析2017和2016年冬季情形发现:2016年冬季K区偏暖,东亚冬季风系统偏弱,华北地区多异常偏南风距平,低层大气偏稳定,导致霾日偏多;而2017年情形恰好相反。这说明北京霾也受制于大尺度气候异常。本文进而简述现有研究存在的问题,就如何推进“霾气候”预测研究提出若干建议。
英文摘要:
      Beijing Haze has received widespread attention in recent years. However, Beijing notably witnessed unusually few haze days in the last winter. Pei et al (2018) proposed an observation-based mechanism linking the number of persistent haze events (PHE) in Beijing with large-scale climatic anomalies in surrounding regions, suggesting an important role of the sea surface temperature anomalies (SSTA) in a key region in the northwestern Pacific (K-region). This letter accordingly compares the large-scale winter climatic anomalies in 2017 with those in 2016, when Beijing encountered with the most serious haze in the observational history. In winter 2016, K-region was warmer than usual, giving rise to more frequent anomalous southerlies in North China and more stable atmospheric vertical structure, and hence more haze in Beijing. In winter 2017, K-region was cooler than usual with opposite atmospheric anomalies around, and hence less haze in Beijing. It is implied that Beijing haze should be considerably influenced by large-scale climate anomalies. Common issues in current ‘haze-climate’ studies are then discussed in order to promote predictive studies of ‘haze-climate’.
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