安徽农学通报 >
2025 , Vol. 31 >Issue 17: 104 - 108
DOI: https://doi.org/10.16377/j.cnki.issn1007-7731.2025.17.026
铁岭地区一次强对流天气过程成因分析
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卜添荟(1998—),女,辽宁昌图人,助理工程师,从事综合气象业务工作。 |
Copy editor: 张琴
收稿日期: 2024-12-09
网络出版日期: 2025-09-16
Analysis of the causes of a severe convective weather process in the Tieling region
Received date: 2024-12-09
Online published: 2025-09-16
本研究利用常规观测资料、数值预报产品等数据从环流背景、物理量特征和雷达回波分析等方面对2021年9月8日傍晚至9月9日夜间发生在辽宁铁岭的一次冰雹、雷暴大风、短时强降水强对流天气过程进行成因诊断分析。结果表明,本次强对流过程是在东北冷涡的背景下,由高空急流、中低层切变线以及上层干冷、下层暖湿的不稳定大气层结共同影响所致,地面辐合线是触发本次强对流天气不稳定能量释放的重要机制。同时,较大的对流有效位能、中等强度垂直风切变、合适的0 ℃层高度等造成了大范围冰雹天气的发生;本次过程的大冰雹落区与SWAN估测的垂直累积液态水含量大值区有较好的对应关系,对于出现冰雹甚至出现大冰雹有一定预警意义。同时,本次过程的预警信号发布实行精细化发布策略,为开展针对性防范工作提供技术参考。
卜添荟 , 任喆 , 谢雨欣 , 刘莹莹 , 诸文韬 . 铁岭地区一次强对流天气过程成因分析[J]. 安徽农学通报, 2025 , 31(17) : 104 -108 . DOI: 10.16377/j.cnki.issn1007-7731.2025.17.026
The study used conventional observation data, numerical forecast products, and other materials to conduct a diagnostic analysis of the causes of a severe convective weather process, characterized by hail, thunderstorm gales, and short-term heavy rainfall, that occurred in Tieling, Liaoning, from the evening of September 8 to the night of September 9, 2021. The analysis was carried out from aspects including circulation background, physical quantity characteristics, and radar echo analysis. The results indicated that this severe convective weather process was influenced by a combination of factors, including the Northeast Cold Vortex, upper-level jet streams, mid-to-lower-level shear lines, and an unstable atmospheric structure characterized by dry and cold upper layers and warm and moist lower layers. The surface convergence line served as the key mechanism triggering the release of unstable energy during this severe convective weather event. Additionally, factors such as significant convective available potential energy, moderate vertical wind shear, and an appropriate 0°C layer height contributed to the widespread occurrence of hailstorms. The large hailfall areas from this event showed a good correspondence with the regions of high vertical accumulated liquid water content estimated by the SWAN model, providing some predictive significance for the occurrence of hailstorms, including large hailstones. Additionally, the warning signals for this event were issued using a refined release strategy, providing technical references for targeted preventive measures.
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