热带气象学报2018，Vol.34Issue(2)：268-278,11.DOI:10.16032/j.issn.1004-4965.2018.02.013
地基微波辐射计观测资料在一次雷电潜势预报中的应用分析
AN APPLICATION ANALYSIS OF THE GROUND-BASED MICROWAVE RADIOMETERS OBSERVATION IN LIGHTNING POTENTIAL PREDICTABILITY
摘要
Abstract
Based on the establishment of Hubei lightning potential forecast using convection parameters,we mainly studied the ground-based microwave radiometers data in improving the application value of lightning potential forecast.The convection parameter and threshold were then modified,and then a lightning potential forecast method was formed by a correction parameter.With the data collected by the ground-based microwave radiometers in Wuhan and Jingzhou stations operated by the Institute of Heavy Rain,CMA,the characteristics of vapor density,atmospheric liquid content,relative humidity and instability index measured by the microwave radiometers during a thunderstorm on April 29 2013 were analyzed.In this paper,the data reliability of the ground-based microwave radiometers was first analyzed,and then by comparing the correlation of convection parameters based on numerical model and microwave radiometers data,the instability index based on numerical model displays that K≥33 ℃,T85-500≥23 ℃,A ≥ 10 ℃ and △Td850≤ 3 ℃ have a good correlation with the lightning,but the K index,A index and T580-500 are different from the microwave radiometers,respectively above 35 ℃,25 ℃ and 20 ℃,compared with the lightning potential predictability calculated by the instability index of two groups with different thresholds.The results show that the ground-based microwave radiometers data have a certain value of reference in the improvement of lightning potential predictability.关键词
大气探测/雷电潜势预报/预报因子/地基微波辐射计Key words
atmospheric detection/lightning potential forecast/forecast factor/ground-based microwave radiometers分类
天文与地球科学引用本文复制引用
苟阿宁,韩芳蓉,张文刚,刘希文,牛奔..地基微波辐射计观测资料在一次雷电潜势预报中的应用分析[J].热带气象学报,2018,34(2):268-278,11.基金项目
湖北省气象局面上项目(2016Y02) （2016Y02）
湖北省雷电灾害防御科研专项(FL-Z-201401) （FL-Z-201401）
国家电网科技项目“基于卫星遥感和气象数据的输电系统典型风险分析及防灾关键技术研究”(15KJ029901C2011920140000)共同资助 （15KJ029901C2011920140000）
