气象2026,Vol.52Issue(7):834-845,12.DOI:10.7519/j.issn.1000-0526.2025.072402
东南沿海地区孤立与飑线对流两种类型冰雹云地面降水粒子谱特征
Surface Raindrop Spectral Characteristics of Isolated and Squall-Line Hailstorms in Southeastern Coastal China
摘要
Abstract
Based on a persistent severe convective event that occurred in March 2023 over the hilly terrain in the southeastern coastal regions of China,we comparatively analyze the surface spectral characteristics of precipitation particles associated with isolated convective storms and squall-line convective systems by using the S-band dual-polarization radar data and the observations of surface precipitation particle spectra.The results show that the isolated convective storms during the hailfall concentration area exhibit larger particle sizes,more complex spectral structures,more pronounced fluctuations in total particle number concentra-tion,and greater dispersion in the velocity and size spectra.All these features indicate that the internal ice-phase processes are even more vigorous in this stage.In contrast,squall-line convection systems are characterized by high-density hailstones,a relatively high concentration of small raindrops,and simpler spectral structures.For the two convective types,the peaks in precipitation particle concentration both appear near the high-reflectivity precipitation region following the concentrated hailfall stage,accompanied by narrowing spectral width and reduction in large particles.Moreover,the precipitation process is further divided into four distinct stages,each showing markedly different spectral characteristics.These findings could enhance the understanding of the microphysical processes of isolated and squall-line hail clouds and provide scientific support for short-time nowcasting and hail suppression operations.关键词
冰雹云/雨滴谱/降水粒子谱/微物理特征/速度-尺度谱Key words
hail cloud/raindrop spectrum/precipitation particle spectrum/microphysical characteristic/velocity-diameter spectrum分类
天文与地球科学引用本文复制引用
龚成龙,林文,段卿,沈永生,何清芳..东南沿海地区孤立与飑线对流两种类型冰雹云地面降水粒子谱特征[J].气象,2026,52(7):834-845,12.基金项目
福建省自然科学基金项目(2023J011327)、华东区域气象科技协同创新基金合作项目(QYHZ202312)、中国气象局-成都信息工程大学人工影响天气联合研究中心开放课题(2024GDRY011)、三明市科技计划项目(2023-S-42)和福建省灾害天气重点实验室重大科技专项课题(2020TF08)共同资助 (2023J011327)