贵州东部一次冻雨过程的微物理特征及相关性分析OA
Microphysical characteristics and correlation analysis of freezing rain in eastern Guizhou in January 2022
冻雨是中国冬季的主要灾害性天气,贵州东部山区因地形复杂、微物理观测匮乏,其冻雨形成机制及雨滴谱特征尚不明确.针对 2022 年 1 月贵州东部一次区域冻雨过程,利用激光雨滴谱、常规气象要素和探空资料,分析了岑巩、碧江和万山 3 个不同海拔高度测站在冻雨发生期间的微物理特征和相关性.结果表明:1)冻雨主要出现在海拔较高的万山,其雨滴平均数浓度和平均直径分别为 380 m-3 和 0.65 mm,较大的雨滴主要来自雪花融化再冷却而形成的过冷雨滴,为冰相融化机制.2)怀化探空显示,大气垂直结构为典型的冰晶层-融化层-冷冻层三层结构,其中 800~650 hPa 深厚融化层峰值温度达 5℃,与贵州中西部冻雨形成的常见暖雨机制不同.3)Gamma 函数参数μ-Λ关系受到质量加权平均直径(Dm)的显著约束,各站平均直径(Da)的均值约为 0.57 mm.这可能与冻雨形成的机制有关.4)基于雨滴谱特征,冻雨的雷达反射率因子与降水率关系(Z=ARb)得到优化,指数 b 较为稳定(约为 1.4),前因子 A 与 Dm 呈显著的线性相关关系(A=234.6Dm-18.2).这有助于揭示不同地区冻雨定量估计差异的微观成因,并有助于改进雷达降水反演.
Freezing rain is a high-impact winter weather hazard that poses substantial threats to transportation,power transmission,and agriculture.The Guizhou Plateau in southwestern China,characterized by complex terrain and frequent quasi-stationary frontal activity during winter,is one of the regions most prone to freezing rain in China.Although considerable research has focused on the climatological characteristics and synoptic conditions of freezing rain in central and western Guizhou,the microphysical properties of freezing raindrops in the mountainous eastern part of the province remain poorly understood.In particular,quantitative differences in rain-drop size distribution characteristics among stations at different elevations and their implications for radar-based quantitative precipitation estimation have not been systematically investigated.Improved understanding of freezing-rain microphysics is essential for refining the parameterization of ice-phase processes in numerical weather predic-tion models and enhancing operational forecasting over complex terrain. This study investigated a regional freezing rain event that occurred in eastern Guizhou in January 2022 using laser disdrometer observations,conventional meteorological data,and radiosonde profiles.The microphysical char-acteristics and their relationships were analyzed at three stations with different elevations(Cengong,Bijiang,and Wanshan).The main findings are summarized as follows: Under the influence of a strong cold-air outbreak,the mean precipitation microphysical characteristics were generally similar among the three stations,with maximum spectral widths below 4 mm.The freezing rain occurred predominantly at the higher-elevation Wanshan station.Compared with the other stations,Wanshan exhibited the highest mean drop concentration and the smallest mean and raindrop diameter,primarily because of the dominant contribution of small drops with diameters between 0.5 and 0.8 mm.The shorter sub-cloud fall distance and wea-ker collision-coalescence processes at higher elevations may also have contributed to these characteristics. The freezing rain formed through an ice-phase melting mechanism characterized by a three-layer vertical structure consisting of an ice-crystal layer,a melting layer,and a near-surface refreezing layer.This structure differs substantially from the warm-rain mechanism commonly observed in central and western Guizhou.A deep melting layer extending from approximately 800 to 650 hPa allowed snowflakes descending from the ice-crystal layer to melt completely into relatively large raindrops.These drops subsequently passed through a near-surface re-freezing layer approximately 900 m thick,with temperatures ranging from-1 to-3℃,where they became super-cooled before reaching the surface as freezing rain. The melting signature was significantly stronger than the refreezing signature,indicating that most raindrops originated from melted snowflakes rather than small ice pellets.The freezing raindrops were relatively large,with mean values of lgNw and Dm of 3.91 and 0.87 mm,respectively,comparable to observations reported for the Jianghan Plain.Furthermore,Dm exerted a significant constraint on the μ-Λ relationship of the Gamma-fitted drop size distribution. The Z=ARb relationships for the three stations were optimized for the freezing rain period.The exponent b re-mained relatively stable at approximately 1.4,whereas the prefactor A varied over as much wider range and was strongly correlated with raindrop size.Furthermore,a positive linear relationship between A and Dm was estab-lished,providing insight into regional differences in radar-based quantitative precipitation estimation for freezing rain. Because this study focused on a single freezing rain event in a relatively high-elevation mountainous region of eastern Guizhou,future work will expand the observational network and incorporate long-term drop size obser-vations from diverse topographic regions across Guizhou to further investigate the influence of terrain on freezing-rain microphysics.Enhanced vertical observations of hydrometeors and thermodynamic structures will also be con-ducted to improve the parameterization of ice-phase processes in numerical weather prediction models,particularly the simulation of vertical structures associated with freezing rain formation over complex terrain.These efforts will provide a more robust microphysical basis for operational forecasting and quantitative precipitation estimation of freezing rain.
曾莉萍;陶勇;夏晓玲;吕晶晶;严小冬;刘端阳;周悦;陆春松
贵州新气象科技有限责任公司,贵州 贵阳 550002||贵州省气象服务中心,贵州 贵阳 550002贵州新气象科技有限责任公司,贵州 贵阳 550002||贵州省气象服务中心,贵州 贵阳 550002贵州新气象科技有限责任公司,贵州 贵阳 550002||贵州省气象服务中心,贵州 贵阳 550002南京信息工程大学 中国气象局气溶胶-云-降水重点开放实验室,江苏 南京 210044贵州省山地气象科学研究所,贵州 贵阳 550002南京气象科技创新研究院 中国气象局交通气象重点实验室,江苏 南京 210041中国气象局 武汉暴雨研究所 暴雨监测预警湖北省重点实验室/中国气象局流域强降水重点开放实验室,湖北 武汉 430205南京信息工程大学 中国气象局气溶胶-云-降水重点开放实验室,江苏 南京 210044
冻雨微物理特征冰相融化机制贵州东部
freezing rainmicrophysical characteristicsice-phase melting mechanismeastern Guizhou
《大气科学学报》 2026 (5)
810-821,12
贵州新气象科技有限责任公司揭榜挂帅项目(2024-N67)黔科合平台项目(KXJZ[2024]033)
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