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气象:2014,40(7):844-851
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北京地区自动站降水特征的聚类分析
(1.中国气象局北京城市气象研究所,北京 100089;2.北京市气象服务中心,北京 100089;3.国家气候中心,北京 100081;4.中国气象局气象干部培训学院,北京 100081)
AWS Precipitation Characteristics Based on K Means Clustering Method in Beijing Area
(1.Institute of Urban Meteorology, CMA, Beijing 100089;2.Beijing Meteorological Service Centre, Beijing 100089;3.Laboratory for Climate Studies, CMA, National Climate Centre, Beijing 100081;4.CMA Training Centre, Beijing 100081)
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投稿时间:2013-05-15    修订日期:2013-09-16
中文摘要: 利用2007—2010年北京123个自动气象站逐时降水观测资料,采用聚类分析方法,对北京的主城区、西部和北部区、东北区、东南区共分为4个区域的逐时降水时空分布特征进行了分析。结果表明:通过与实际地形和下垫面类型比较,自动站分类较为合理,避免了在区域划分方面的主观因素影响。主城区降水集中时段最为突出,集中出现在7月逐日20—00时,且降水强度最强,降水量较大,降水小时数不多。西部和北部区降水集中出现在6月逐日18—20时、7月逐日23时至次日03时,降水小时数最多,降水强度不大,降水量不大。东北区降水主要集中出现在7月逐日00—08时和17—23时,降水小时数较多,降水强度不大,降水量最大;东南区降水主要集中出现在7月的逐日02—04时,降水小时数少,降水强度较大,降水量较大。
Abstract:By using K means clustering method, hourly precipitation data from 123 automatic weather stations (AWS) in Beijing Area during the period of 2007—2010, the precipitation distribution characteristics of the four areas including North and West area, Northeast area stations, Urban area stations and Southeast area stations are analyzed. Compared with the actual topography and underlying surface types, the classification of automatic stations is more reasonable and can avoid the influence of subjective factors in the regional classification. In Urban areas the precipitation concentration period is the most prominent, mainly in 20:00—00:00 BT daily July with strongest intensity, greater amount and in fewer hours. In the North and West area precipitation mainly appears in 18:00—20:00 BT daily June and 23:00—03:00 BT the next day daily July, with weaker intensity, and less amount and in more hours. In the Northeast area precipitation mainly appears in 00:00—08:00 BT and 17:00—23:00 BT daily July, with the weakest rainfall intensity and the maximum precipitation amount and in more precipitation hours. In the Southeast area precipitation mainly appears in 02:00—04:00 BT daily July, with stronger intensity and greater amount, and in fewer hours.
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基金项目:中国科学院战略性先导科技专项(XDA05090202)和国家自然科学基金项目(40975066和41375069)共同资助
引用文本:
刘伟东,尤焕苓,任国玉,杨萍,张本志,2014.北京地区自动站降水特征的聚类分析[J].气象,40(7):844-851.
LIU Weidong,YOU Huanling,REN Guoyu,YANG Ping,ZHANG Benzhi,2014.AWS Precipitation Characteristics Based on K Means Clustering Method in Beijing Area[J].Meteor Mon,40(7):844-851.