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华北地区雾和霾天气环流特征聚类分析
引用本文:孙彧,牛涛,乔林,马振峰,吴薇.华北地区雾和霾天气环流特征聚类分析[J].气候与环境研究,2016,21(5):601-613.
作者姓名:孙彧  牛涛  乔林  马振峰  吴薇
作者单位:中国气象科学研究院灾害天气国家重点实验室, 北京 100081;四川省气象探测数据中心, 成都 610072;高原与盆地暴雨旱涝灾害四川省重点研究室, 成都 610072,中国气象科学研究院灾害天气国家重点实验室, 北京 100081,北京市气象局, 北京 100089,高原与盆地暴雨旱涝灾害四川省重点研究室, 成都 610072;四川省气候中心, 成都 610072,四川省气象探测数据中心, 成都 610072;高原与盆地暴雨旱涝灾害四川省重点研究室, 成都 610072
基金项目:国家重点基础研究发展计划(973计划)项目2011CB403404,国家科技支撑计划项目2014BAC16B03,2015年中国气象局气候变化专项CCSF201532
摘    要:根据2000~2013年华北地区72个地面观测站点的雾、霾日数资料挑选出华北地区出现雾、霾天气现象站数较多的40个样本,再利用这些样本同期的NCEP逐日再分析资料,对位势高度场进行聚类分析,结果表明华北地区发生雾或霾天气时的近地面环流形势可分别分为4类和5类。聚类结果揭示了雾和霾发生时大气环流具有不同的分型特征,只有弱高压型为雾、霾发生时的共有型,湿度场和冷暖平流输送在雾和霾天气发生时也存在显著差异。此外,在分析过程中发现同一天中存在雾、霾天气转换及同一时刻雾、霾共存的现象,本文也分析了这两种情形的环流形势特征,解释了其成因。

关 键 词:    环流形势  聚类分析
收稿时间:2015/5/13 0:00:00

Cluster Analysis of the Circulation Situation Occurring during Fog and Haze Weather in North China
SUN Yu,NIU Tao,QIAO Lin,MA Zhenfeng and WU Wei.Cluster Analysis of the Circulation Situation Occurring during Fog and Haze Weather in North China[J].Climatic and Environmental Research,2016,21(5):601-613.
Authors:SUN Yu  NIU Tao  QIAO Lin  MA Zhenfeng and WU Wei
Institution:State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081;Sichuan Meteorological Observation and Data Centre, Chengdu 610072;Heavy Rain and Drought-Flood Disaster in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072,State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081,Beijing Meteorological Bureau, Beijing 100089,Heavy Rain and Drought-Flood Disaster in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072;Sichuan Provincial Climate Centre, Chengdu 610072 and Sichuan Meteorological Observation and Data Centre, Chengdu 610072;Heavy Rain and Drought-Flood Disaster in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072
Abstract:40 in situ measurements of fog and haze over North China from 2000 through 2013 were used and cluster analysis is applied in the geopotential height field from the same period of NCEP daily reanalysis data. Results show that surface circulation situations can be respectively divided into four and five clusters when fog or haze weather occurs. Clustering results reveal that the atmospheric circulation has different characteristics when fog and haze occurs, weak high pressure is the only common type for both. The transportation of the humidity field and cold (warm) advection are also significantly different in fog and haze weather. In addition, the analysis results show that fog and haze conversion exists on the same day and fog coexists with haze at the same moment. The authors also analyze the circulation characteristics of these two scenarios, and provide explanations for the phenomena.
Keywords:Fog  Haze  Circulation situation  Cluster analysis
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