多源观测资料在冰雹监测预警中的应用

利用常规探空观测资料、气象卫星资料、双偏振雷达资料、风廓线雷达资料、地基GPS水汽等多源观测资料对2020年6月25日河北中部一次由超级单体引起的强对流天气过程进行分析,探讨多源观测资料在冰雹天气预警中的综合应用。结果表明,在华北冷涡的影响下,上冷下暖的不稳定层结为强对流的发生提供了有利的环流背景。在强有力的热力不稳定与对流不稳定的条件下,受到地面辐合线的触发作用,强对流迅速生成并发展。造成本次大面积降雹的系统为超长生命史的超级单体,冰雹粒子与其他相态的粒子的双偏振特征具有明显的区别。定量化的观测资料能对冰雹天气的预警提供更加精确的数据信息。

Application of multi-source observation data in hail monitoring and warning

using conventional sounding data, satellite meteorological data, dual polarization radar data, wind profile radar data, ground-based GPS water vapor and other multi-source observation data, this paper analyzes a strong convective weather process caused by super monomer in central Hebei on June 25, 2020, and discusses the comprehensive application of multi-source observation data in Hail Weather early warning. The results show that under the influence of North China cold vortex, the unstable stratification of upper cold and lower warm provides a favorable circulation background for the occurrence of strong convection. Under the conditions of strong thermal instability and convective instability, triggered by the ground convergence line, strong convection is generated and developed rapidly. The system causing this large-area hail is a super monomer with ultra long life history. The dual polarization characteristics of hail particles are obviously different from those of other phase particles. Quantitative observation data can provide more accurate data information for hail weather early warning.