本文已被:浏览 1399次 下载 2481次
投稿时间:2008-12-03 修订日期:2009-10-26
投稿时间:2008-12-03 修订日期:2009-10-26
中文摘要: 根据雷达回波的形态,把陕西渭北2000—2006年71次带状MCS个例分为拖曳层状、先导层状、平行层状和断裂带状MCS等4种类型,并分析了4类带状MCS的雷达回波统计特征。结果显示:各类带状MCS发生频次的年际变化较大,断裂带状MCS发生的次数最多;拖曳层状MCS的平均最大带长最长,平行层状MCS的平均最大带长最小;带状MCS的移动方向主要为东南;带状MCS在不同朝向上的移动速度差异较大,朝向东南移动的拖曳层状MCS的平均速度最大;拖曳层状MCS降雹概率62%,位居各类MCS之首,造成的灾害最为严重。
中文关键词: 带状回波, 中尺度对流, 统计特征
Abstract:Based on the 711 digital weather radar data of 71 linear MCS cases in Weibei area of Shaanxi Province between May and September from 2000 to 2006, these linear MCS systems were classified into four categories (trailing stratiform (TS), leading stratiform (LS), parallel stratiform (PS) and broken linear MCS). The characteristics of each MCS class were statistically analyzed. The results show that linear MCS has the greater frequency of changes, and the broken linear MCS occurs in the most cases; the mean scale of TS MCS is the greatest and that of PS MCS is the least; the dominant moving direction of linear MCS is southeast; the moving speed of linear MCS in different direction has large differences and the mean moving speed of TS MCS which moves southeastward is the fastest. On the other hand, the TS MCS has the most hail probability (62%), and tends to have more severe weather reports, areal hail, heavy disasters than other kinds of MCS.
文章编号: 中图分类号: 文献标志码:
基金项目:本文得到陕西省气象局科技创新基金计划项目(2009M-59)和陕西省气象局研究型业务重点科研项目(2009Z-4)资助
作者 | 单位 |
岳治国 | 陕西省人工影响天气办公室,西安 710015 |
梁谷 | 陕西省人工影响天气办公室,西安 710015 |
李燕 | 陕西省人工影响天气办公室,西安 710015 |
左爱文 | 陕西省人工影响天气办公室,西安 710015 |
田显 | 陕西省人工影响天气办公室,西安 710015 |
引用文本:
岳治国,梁谷,李燕,左爱文,田显,2010.陕西渭北带状中尺度对流雷达回波统计特征[J].气象,36(6):66-72.
YUE Zhiguo,LIANG Gu,LI Yan,ZUO Aiwen,TIAN Xian,2010.Statistical Characteristics of Radar Echoes of Linear Mesoscale Convection in the Weibei Area of Shaanxi Province[J].Meteor Mon,36(6):66-72.
岳治国,梁谷,李燕,左爱文,田显,2010.陕西渭北带状中尺度对流雷达回波统计特征[J].气象,36(6):66-72.
YUE Zhiguo,LIANG Gu,LI Yan,ZUO Aiwen,TIAN Xian,2010.Statistical Characteristics of Radar Echoes of Linear Mesoscale Convection in the Weibei Area of Shaanxi Province[J].Meteor Mon,36(6):66-72.