长沙地区基于闪电定位与雷达资料的初闪发生预报研究
Study on Prediction of Initial Lightning Based on Lightning Location and Radar Data in Changsha
DOI: 10.12677/CCRL.2022.114050, PDF,   
作者: 聂新宇, 黄 浩:湖南省气象灾害防御技术中心,湖南 长沙;气象防灾减灾湖南省重点实验室,湖南 长沙;张 婷:宁远县气象局,湖南 永州;刘 盼:湖南长昊气象科技有限公司,湖南 长沙
关键词: 初闪预报回波顶高回波面积Initial Flash Prediction Echo Top Height Echo Area
摘要: 本文利用2021年夏季长沙地区的闪电定位资料及雷达资料,统计了11个雷暴单体和5个非雷暴单体的回波顶高,包括30 dBZ、35 dBZ和40 dBZ三种雷达反射率,通过相关性分析,对0℃、−10℃和−20℃的温度层结高度上超过上述三种雷达反射率因子的回波面积和闪电频次进行讨论。从结果中可以得出:在40 dBZ情况下,两种单体超过三种温度层高的比例差最大。可通过−10℃层上40 dBZ回波顶高来对两种单体进行区分,此条件下的回波面积至少大于47.84 km2
Abstract: Based on the lightning location data and radar data in Changsha in the summer of 2021, the echo top heights of 11 thunderstorm cells and 5 non-thunderstorm cells, including 30 dBZ, 35 dBZ and 40 dBZ radar reflectivity, are counted. Through correlation analysis, the echo area and lightning frequency of 0˚C, −10˚C and −20˚C temperature stratification heights that exceed the above three radar reflectivity factors are discussed. It can be concluded from the results that under the condition of 40 dBZ, the proportion difference between the two monomers with more than three temperature layer heights is the largest. The two monomers can be distinguished by the 40 dBZ echo top height on the −10˚C layer, and the echo area under this condition is at least greater than 47.84 km2.
文章引用:聂新宇, 张婷, 刘盼, 黄浩. 长沙地区基于闪电定位与雷达资料的初闪发生预报研究[J]. 气候变化研究快报, 2022, 11(4): 473-480. https://doi.org/10.12677/CCRL.2022.114050

参考文献

[1] 薛秋芳, 孟青, 葛润生. 北京地区闪电活动及其与强对流天气的关系[J]. 气象, 1999, 25(11): 15-19.
[2] 郄秀书, 张义军, 张其林. 闪电放电特征和雷暴电荷结构研究[J]. 气象学报, 2005, 63(5): 646-658.
[3] 李丹, 林文, 应达, 等. 福建中南部沿海不同强对流天气闪电活动特征分析[J]. 气象与环境科学, 2021, 44(6): 68-77.
[4] 马超, 周雅蔓, 李伟. 闪电定位资料在天山北坡强对流天气短临预警中的分析及应用[J]. 沙漠与绿洲气象, 2020, 14(1): 49-55.
[5] 王婷波, 郑栋, 周康辉, 等. 暴雨和雹暴个例中闪电特征对比[J]. 应用气象学报, 2017, 28(5): 568-578.
[6] Orville, R.E. and Silver, A.C. (1997) Lightning Ground Flash Density in the Contiguous United States: 1992-95. Monthly Weather Review, 125, 631-638. [Google Scholar] [CrossRef
[7] Perez, A.H., Wicker, L.J. and Orville, R.E. (1996) Characteristics of Cloud-to-Ground Lightning Associated with Violent Tornadoes. Weather and Forecasting, 12, 428-437. [Google Scholar] [CrossRef
[8] Williams, E.R. (1985) Large-Scale Charge Separation in Thunderclouds. Journal of Geophysical Research: Atmospheres, 90, 6013-6025. [Google Scholar] [CrossRef
[9] Gremillion, M.S. and Orville, R.E. (1999) Thunderstorm Charac-teristics of Cloud-to-Ground Lightning at the Kennedy Space Center, Florida: A Study of Lightning Initiation Signatures as Indicated by the WSR-88D. Weather and Forecasting, 14, 640-649. [Google Scholar] [CrossRef
[10] 刘维成, 苟尚, 傅朝. 雷达资料在高原东北侧雷电预警中的应用[J]. 气象, 2015, 41(10): 1253-1259.
[11] 李国梁, 李俊, 李享, 等. 武汉地区雷电预警阈值研究[J]. 气象科技, 2015, 43(5): 874-879.
[12] Knupp, K.R., Paech, S. and Goodman, S. (2003) Variations in Cloud-to-Ground Lightning Characteristics among Three Adjacent Tornadic Supercell Storms over the Tennessee Valley Region. Monthly Weather Review, 131, 172-188. [Google Scholar] [CrossRef
[13] 肖艳姣, 刘黎平. 新一代天气雷达网资料的三维格点化及拼图方法研究[J]. 气象学报, 2006, 64(5): 647-657.
[14] Carey, L.D., Petersen, W.A. and Rutledge, S.A. (2003) Evolution of Cloud-to-Ground Lightning and Storm Structure in the Spencer, South Dakota, Tornadic Supercell of 30 May 1998. Monthly Weather Review, 131, 1811-1831. [Google Scholar] [CrossRef
[15] 石玉恒, 张义军, 郑栋, 等. 北京地区雷暴的雷达回波特征与闪电活动的相关关系[J]. 气象, 2012, 38(1): 66-71.