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毫米波云雷达冻雨-降雪微物理和动力特征分析

王柳柳 刘黎平 余继周 王志锐 郑佳锋 王瑾

气象2017,Vol.43Issue(12):1473-1486,14.
气象2017,Vol.43Issue(12):1473-1486,14.DOI:10.7519/j.issn.1000-0526.2017.12.003

毫米波云雷达冻雨-降雪微物理和动力特征分析

Microphysics and Dynamic Characteristic Analysis of Freezing Rain and Snow Observed by Millimeter-Wave Radar

王柳柳 1刘黎平 2余继周 3王志锐 1郑佳锋 1王瑾3

作者信息

  • 1. 北京无线电测量研究所,北京100854
  • 2. 中国气象科学研究院灾害天气国家重点实验室,北京100081
  • 3. 中国航天科工集团第二研究院,北京100854
  • 折叠

摘要

Abstract

The refinement research of the vertical structure of freezing rain and snow is very lacking.To carry out this kind of research,in this paper we extract reflectivity factor and velocity spectrum width as well as the skewness which can reflect phase state of precipitation particles originally from spectrum data observed by vertical point of Ka-band millimeter-wave radar.After obtaining the falling velocity of precipitation particles through rising air speed,and the mean particles radius in the vertical direction,we analyze the changes in the liquid water content and ice water content in the vertical structure as well as the changes of the particles combined with sounding data and several parameters in the falling process.The results show that echo characteristic of freezing rain is uneven lamellar structure,while the snow's filar detailed structure is obvious.The initial mean radius of precipitation particles of freezing rain and snow fall distributes separately near 40 and 120 mm.From the initial precipitation particles to quickly coagulating and forming big particles,freezing raindrops need to go through about 0.2 km in the process.The cloud top is 0.1 km higher than the top of liquid water content and ice water content.The water content within the higher range is small,and the parameters reflecting the change of particles in vertical structure are consistent.

关键词

毫米波云雷达/冻雨/降雪/微物理/动力特征

Key words

millimeter-wave radar/freezing rain/snow/microphysics/dynamic characteristics

分类

天文与地球科学

引用本文复制引用

王柳柳,刘黎平,余继周,王志锐,郑佳锋,王瑾..毫米波云雷达冻雨-降雪微物理和动力特征分析[J].气象,2017,43(12):1473-1486,14.

基金项目

国家自然科学基金项目(41675023)、公益性行业(气象)科研专项(GYHY201306051)和黔省专合字[2011]11号共同资助 (41675023)

气象

OA北大核心CSCDCSTPCD

1000-0526

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