| SANDRA法对北京小时强降水扰动环流场的分型研究 |
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| 引用本文： | 黎慧琦,崔晓鹏,李琴,吴凡.SANDRA法对北京小时强降水扰动环流场的分型研究[J].气候与环境研究,2019,24(4):445-454. |
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| 作者姓名： | 黎慧琦 崔晓鹏 李琴 吴凡 |
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| 作者单位： | 1.中国科学院大气物理研究所云降水物理与强风暴实验室，北京100029;2.中国科学院大学，北京100049;3.中国气象局广州热带海洋气象研究所，广州510640;4.南京信息工程大学气象灾害预报预警与评估协同创新中心，南京210044;5.重庆市气象局，重庆401147 |
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| 基金项目： | 国家重点基础研究发展计划项目2014CB441402，国家自然科学基金项目41475040 |
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| 摘 要： | 利用cost733class软件中的SANDRA(Simulated ANnealing and Diversified RAndomization)客观分型方法对北京地区2007～2014年暖季5～9月的小时强降水日的500 hPa扰动位势高度场进行分型研究。结果显示,所划分的4类环流形势分别在蒙古、东北—华北地区、河套地区和俄罗斯远东地区存在扰动低压区。根据4类环流形势的质心,将2007～2014年暖季所有日划归4类,计算每类小时强降水日占各自类型总天数的百分比得出蒙古扰动低压类的小时强降水日出现概率最大。统计小时强降水日的探空廓线得出,925 hPa和850 hPa的比湿中位数分别为13.01 g kg~(-1)和10.64 g kg~(-1),这2个层级上最常出现的风向是180°～225°。
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| 关 键 词： | 分型 小时强降水 扰动 SANDRA客观分型方法 |
| 收稿时间： | 2018/3/21 0:00:00 |
Anomaly-Based Classification Study of Synoptic Patterns Associated with Hourly Heavy Rainfall over Beijing by SANDRA Method |
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| LI Huiqi,CUI Xiaopeng,LI Qin,and WU Fan.Anomaly-Based Classification Study of Synoptic Patterns Associated with Hourly Heavy Rainfall over Beijing by SANDRA Method[J].Climatic and Environmental Research,2019,24(4):445-454. |
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| Authors: | LI Huiqi CUI Xiaopeng LI Qin and WU Fan |
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| Institution: | 1.Key Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;2.University of Chinese Academy of Sciences, Beijing 100049;3.Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510640;4.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044;5.Chongqing Meteorological Bureau, Chongqing 401147 |
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| Abstract: | Using SANDRA (Simulated ANnealing and Diversified RAndomization), the hourly heavy rainfall days in Beijing during the warm seasons (May-September) of 2007-2014 are classified into four types based on 500 hPa anomalous geopotential height fields. There is an anomalous low in Mongolia, Northeast and North China, Hetao region, and Russian Far East, respectively, in the four types. All the days during the warm seasons of 2007-2014 are then assigned to one of the four types according to the centroids of the types. The result shows that the type in which an anomalous low is located in Mongolia has the largest probability of hourly heavy rainfall. The statistical analysis of sounding on hourly heavy rainfall days reveals that the median specific humidity values of 925 hPa and 850 hPa are 13.01 g kg-1 and 10.64 g kg-1, respectively, and that the wind direction in the range of 180°-225° is dominant at these two levels. |
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| Keywords: | Classification Hourly heavy rainfall Anomaly SANDRA method |
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