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Organizational Modes of Severe Wind-producing Convective Systems over North China

机译:华北地区强风对流系统的组织模式

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摘要

Severe weather reports and composite radar reflectivity data from 2010-14 over North China were used to analyze the distribution of severe convective wind (SCW) events and their organizational modes of radar reflectivity.The six organizational modes for SCW events (and their proportions) were cluster cells (35.4%),squall lines (18.4%),nonlinear-shaped systems (17.8%),broken lines (11.6%),individual cells (1.2%),and bow echoes (0.5%).The peak month for both squall lines and broken lines was June,whereas it was July for the other four modes.The highest numbers of SCW events were over the mountains,which were generally associated with disorganized systems of cluster cells.In contrast,SCW associated with linear systems occurred mainly over the plains,where stations recorded an average of less than one SCW event per year.Regions with a high frequency of SCW associated with nonlinear-shaped systems also experienced many SCW events associated with squall lines.Values of convective available potential energy,precipitable water,0-3-km shear,and 0-6-km shear,were demonstrably larger over the plains than over the mountains,which had an evident effect on the organizational modes of SCW events.Therefore,topography may be an important factor in the organizational modes for SCW events over North China.
机译:利用华北地区2010-14年度的恶劣天气报告和复合雷达反射率数据,分析了强对流风事件的分布及其雷达反射率的组织模式,SCW事件的六个组织模式(及其比例)分别为簇细胞(35.4%),s线(18.4%),非线性系统(17.8%),折线(11.6%),单个细胞(1.2%)和弓形回波(0.5%)。 four线和折线是6月,其他四个模式是7月。SCW事件的发生次数最多的是山区,这通常与簇细胞的系统混乱有关。相反,SCW与线性系统有关在平原地区,气象站每年平均记录不到一次SCW事件。与非线性形系统相关的SCW频率较高的地区也经历了与线相关的许多SCW事件。平原上的势能,可降水量的水,0-3-km的剪切力和0-6km的剪切力明显大于山脉,这对SCW事件的组织方式有明显的影响。因此,地形可能是华北地区SCW事件组织模式的重要因素。

著录项

  • 来源
    《大气科学进展(英文版)》 |2018年第5期|540-549|共10页
  • 作者

    Xinlin YANG; Jianhua SUN;

  • 作者单位

    Key Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing 100029, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing 100029, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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