1 南京信息工程大学大气科学学院，江苏 南京 210044；2 中国气象局旱区特色农业气象灾害监测预警与风险
管理重点实验室，宁夏 银川 750002；3 中国气象局气溶胶与云降水重点开放实验室，江苏 南京 210044； 4 南京信息工程大学大气物理学院，江苏 南京 210044
收稿日期: 2019-03-22
修回日期: 2019-06-19
网络出版日期: 2020-03-25
基金资助
国家自然科学基金重点项目（41775139）资助
A case analysis of microphysical characteristics of atypical hail formation over Liupan Mountain,China
1 School of Atmospheric Science,Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu，China;
2 Key Laboratory of Characteristic Agrometeorological Disaster Monitoring and Early Warning and Risk Management in Arid
Regions,CMA,Yinchuan 750002,Ningxia,China;
3 Key Laboratory for AerosolloudPrecipitation of China Meteorological Administration,Nanjing 210044,Jiangsu，China; 4 School of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu，China
Received date: 2019-03-22
Revised date: 2019-06-19
Online published: 2020-03-25
陶涛, 张立新, 桑建人, 吕晶晶, 聂晶鑫
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六盘山区一次非典型冰雹天气过程微物理量特征的分析
[J]. 干旱区地理, 2020
Hail is one of the most important destructive weather phenomena in Ningxia Province,China.Its circulation background and spatiotemporal distribution characteristics have been carefully studied by many researchers,but the research on hail with the newest generation of detection equipment is not very clear.This study addressed this gap by examining hail events with measurements of instantaneous precipitation intensity,total number of precipitation particles,cumulative precipitation,visibility,and radar reflectivity that were obtained using a DSG5 laser raindrop spectrometer.The precipitation and microphysical characteristics of hail falling during severe convective weather in the Liupan Mountain area of Ningxia Province on the night of July 14,2017,were systematically analyzed.The results showed as follows: (1) during the hail process,the microphysical characteristics of the precipitation particles increased significantly relative to the baseline.In particular,the number density and mean kinetic energy flux increased to 6.3 and 13 times more than their initial values,respectively.(2) In the early hailing stage,large hail particles grew faster than did smaller particles.However,with the release of energy,convection weakened and hailstones of smaller size increased rapidly.(3) Our data showed that a gammatype distribution was most suitable for fitting the particle distribution characteristics before and after the hail process.(4) Finally,we found that particle velocity during the hail falling process was well fitted by using the particle falling velocity formula V=aDb(R2≥0.98).Fitted to our data,the constant a ranged from 4.55 to 5.02,while b varied from 0.53 to 0.59.
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