主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2011, Vol. 27 ›› Issue (6): 20-27.doi:

• 论文 • 上一篇    下一篇

应用LAPS资料分析安徽沿淮一次短时暴雨特征

李平1,2 官莉1 黄勇3 翟菁3   

  1. 1.南京信息工程大学大气物理学院,江苏 南京 210044;2.天津93579部队气象台,天津 301606;3.安徽省气象科学研究所,安徽 合肥 230031
  • 出版日期:2011-12-30 发布日期:2011-12-30

Characteristics of a short-time heavy rain along the Huaihe River in Anhui province based on LAPS data

LI Ping1,2 GUAN Li1 HUANG Yong3 ZHAI Jing3   

  1. 1.School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2. Observatory of Tianjin 93579 Army, Tianjin 301606, China; 3. Anhui Institute of Meteorological Sciences, Hefei 230031, China
  • Online:2011-12-30 Published:2011-12-30

摘要: 利用LAPS系统融合分析资料对安徽沿淮一次短时暴雨过程进行中尺度天气分析,探讨此次降水过程的成因机制及天气结构特点,同时验证LAPS分析资料的实用性。结果表明:此次过程的主要影响系统为中尺度气旋式涡旋,其向安徽北部沿淮地区的移动为暴雨的发生、发展提供了触发机制;雷达降水回波主要出现在850 hPa中尺度涡旋的南侧以及700 hPa槽前西南气流的辐合上升运动过程中,持续的低空急流及其带来的水汽共同为此次暴雨过程提供了水汽条件和动力机制;比较雷达回波发展和云中液态水含量演变情况发现,云中液态水含量极大值区大多出现在雷达回波单体的新生区域,借助于LAPS云中液态水含量分布结果对预测雷达回波发展趋势及降水分布有重要作用。

关键词: LAPS, 短时暴雨, 云中液态水含量

Abstract: Based on the Local Analysis and Prediction System (LAPS) data, the mesoscale weather characteristics of a short-time heavy rain process along the Huaihe River of Anhui province were analyzed in order to investigate the forming reasons and weather features of this rain process. The practicability of LAPS data was validated. The results indicate that the main weather system in this process is mesoscale cyclonic vortex. The moving of the cyclonic vortex to the northern Anhui province along the Huaihe River provides a trigger mechanism for the occurrence and development of the heavy rain. The radar precipitation echoes mainly occur in the south side of mesoscale vortex in 850 hPa and during the ascending process of southwest air flow in front of the trough in 700 hPa. The persistent low air jet stream together with the concomitant water vapor provides water vapor conditions and dynamic mechanism for the heavy rain process. The development of radar echo and the evolution of cloud liquid water content are compared, and it finds that the maximum value area of cloud liquid water contents often appears in the area generating newborn monomer of radar echo. The distributions of cloud liquid water contents based on LAPS data are important to forecast the development trend of radar echo and precipitation distribution.

Key words: Local analysis and prediction system (LAPS), Short-time heavy rain, Cloud liquid water content