| 注册
首页|期刊导航|气象|滇南中小尺度灾害天气的多普勒统计特征及识别研究

滇南中小尺度灾害天气的多普勒统计特征及识别研究

段鹤 严华生 王晓君 刘建平 白永恩

气象2011,Vol.37Issue(10):1216-1227,12.
气象2011,Vol.37Issue(10):1216-1227,12.

滇南中小尺度灾害天气的多普勒统计特征及识别研究

Analysis on Doppler Radar Statistical Features and Distinguishing Methods of Mesoscale and Microscale Disastrous Weather in Southern Yunnan

段鹤 1严华生 2王晓君 2刘建平 1白永恩1

作者信息

  • 1. 云南省普洱市气象局,普洱665000
  • 2. 云南大学大气科学系,昆明650091
  • 折叠

摘要

Abstract

Using the CIND3830-CC data of CINRAD,the radiosonde and the surface meteorological data, we analyzed the Doppler radar echo features of the mesoscale and microscale strong convective weather system in Pu'er and Xishuangbanna during 2004 to 2009.In addition,we summarized the identification methods and the forecast targets about hail and gale,and short-time strong rainfall.It may be concluded that the initial echo center intensity of hail cloud is about 40 dBz,and the height of hail cloud is about 5 km,approaching to 0℃isotherm.The radial velocity of hail cloud≥10 m·s^-1,the moving speed≥30 km·h^-1,the echo center intensity is about 55 to 69 dBz and convergent features are obvious.The hail cloud intensity of the radar echo top is about 45 dBz.The height of 97%of the hail cloud is higher than 7.5 km,and that of 92%of the hail cloud is colder than -20℃.The echo of gale can be divided into 4 types.The radial velocity of 96%of the gale echo is more than 10 m·s^-1,the convergent features of 50% of the gale echo are obvious.The moving speed about 85%of gale is more than 30 km·h^-1 and the echo center intensity of gale is 30 to 55 dBz.The echo convergent features are obvious.The radial velocity of 79%of echo is less than 10 m·s^-1.The moving speed of 85%of echoes is estimated to be less than 30 km·h^-1.Then its intensity is 40 to 45 dBz and height is less than 4.5 km.The moving speed of echo is less than 30 km·h^-1.And then we got the reference material in the short-term weather forecast.

关键词

冰雹/统计特征/大风/短时强降水/垂直剖面/飑线

Key words

hail/statistic analysis/gale/short-time strong rainfall/vertical section/squall line

分类

天文与地球科学

引用本文复制引用

段鹤,严华生,王晓君,刘建平,白永恩..滇南中小尺度灾害天气的多普勒统计特征及识别研究[J].气象,2011,37(10):1216-1227,12.

基金项目

云南省气象局预报员技术开发专项 ()

国家自然科学基金项目(41075072)共同资助 ()

气象

OA北大核心CSCDCSTPCD

1000-0526

访问量0
|
下载量0
段落导航相关论文