2025年7月南疆盆地东部两次冰雹天气成因的对比分析
Comparative Analysis of the Causes of Two Hail Events in the Eastern Tarim Basin, Southern Xinjiang in July 2025
DOI: 10.12677/ccrl.2026.151014, PDF,    科研立项经费支持
作者: 陈艳丽:新疆生产建设兵团第二师农业发展服务中心气象台,新疆 铁门关;姜彩莲*:新疆五家渠市气象局,新疆 五家渠
关键词: 塔里木盆地触发机制对流风暴风廓线冰雹指数Tarim Basin Triggering Mechanism Convective Storms Vertical Wind Profile Hail Index
摘要: 基于多源气象观测资料、雷达图像产品及ERA5再分析数据,对2025年7月2日和7月4日发生在南疆盆地东部的两次冰雹事件进行了对比分析。结果表明,两次事件在环流背景、触发机制、风暴结构及雷达特征等方面存在显著差异。(1) 2025702个例主要受500 hPa槽底短波及低层切变线的影响,近地面存在明显的风场辐合区,对流风暴的组织性强,CAPE值高达1669.5 J∙kg1;而2025704个例则为槽后偏北气流引发的局地强对流,具有一定CAPE值,对流风暴发展主要受地形和水汽条件驱动,低层辐合线触发作用显著。(2) 通过对比物理量参数,两次个例的−20℃层高度均 < 7.2 km,−20℃层距0℃层高度差 ≤ 2.78 km,850 hPa与500 hPa温度差 ≥ 35℃,这些环境参量阈值可作为本研究区域冰雹判识的有效指标之一。(3) 雷达图像产品显示,2025702个例的雷达强回波中心在短时间内迅速增强(68 dBz),冰雹指数(HI)指数显著,垂直积分液态水含量(VIL)的急剧跃增及衰减与冰雹的发生、发展过程高度相关。相比之下,2025704个例的VIL值变幅较小,回波强中心剖面表现为低质心降水特征,显示出强降水过程的持续性。本研究有助于深入理解南疆盆地东部冰雹的形成机制,并为提高该区域冰雹的监测预警能力提供了科学参考。
Abstract: Based on multi-source meteorological observation data, radar image products, and ERA5 reanalysis data, a comparative analysis was conducted on two hail events that occurred in the Eastern Tarim Basin, Xinjiang, on July 2 and July 4, 2025. The results show significant differences between the two events in terms of atmospheric circulation background, triggering mechanisms, storm structure, and radar characteristics. (1) The July 2nd event was primarily influenced by a 500 hPa trough-bottom shortwave and low-level shear lines, with a distinct surface wind convergence zone. The convection was well-organized with a high CAPE value of 1669.5 J∙kg1. In contrast, the July 4th event was triggered by post-trough northerly winds, with a moderate CAPE value. The convection development was mainly driven by topographic effects and moisture conditions, with significant low-level convergence playing a key triggering role. (2) A comparison of physical parameters showed that for both events, the −20˚C layer height was <7.2 km, the height difference between the −20˚C and 0˚C layers was ≤2.78 km, and the temperature difference between 850 hPa and 500 hPa was ≥35˚C. These environmental parameter thresholds can serve as effective indicators for identifying hail events in this study region. (3) Radar image products revealed that for the July 2nd event, the radar reflectivity center rapidly intensified (68 dBz) within a short period, with a significant hail index (HI), and a sharp increase and subsequent decay of the vertical integrated liquid water content (VIL), which was highly correlated with the occurrence and development of hail. In contrast, the VIL value for the July 4th event showed a smaller variation, and the reflectivity profile exhibited low-echo precipitation characteristics, indicating the persistence of the strong rainfall process.
文章引用:陈艳丽, 姜彩莲. 2025年7月南疆盆地东部两次冰雹天气成因的对比分析[J]. 气候变化研究快报, 2026, 15(1): 103-115. https://doi.org/10.12677/ccrl.2026.151014

参考文献

[1] Köcher, G., Zinner, T. and Knote, C. (2023) Influence of Cloud Microphysics Schemes on Weather Model Predictions of Heavy Precipitation. Atmospheric Chemistry and Physics, 23, 6255-6269. [Google Scholar] [CrossRef
[2] Wang, J., Yu, E., Ma, J., Wang, J., Chen, D. and Wang, H. (2025) Precipitation of Weak Tropical Cyclone Mulan (2022): Sensitivity to Cumulus and Microphysics Parameterization Schemes. Journal of Geophysical Research: Atmospheres, 130, 1-19. [Google Scholar] [CrossRef
[3] Veiga, C., da Silva, M.G.A.J. and da Silva, F.P. (2024) Heavy Rainfall Event in Nova Friburgo (Brazil): Numerical Sensitivity Analysis Using Different Parameterization Combinations in the WRF Model. Natural Hazards, 120, 11641-11664. [Google Scholar] [CrossRef
[4] 郑皎, 郭欣, 付丹红, 等. 云南春季典型冰雹天气的云微物理特征[J]. 应用气象学报, 2024, 35(2): 182-195.
[5] 李喆, 陈小敏, 刘奇俊, 等. 冰雹微物理过程影响对流云降水的数值模拟个例研究[J]. 气象, 2025, 51(2): 182-190.
[6] 辛悦, 苏立娟, 郑旭程, 等. 内蒙古冰雹特征及基于机器学习的冰雹识别方法研究[J]. 干旱区地理, 2025, 48(1): 11-19.
[7] 谢海涛, 王昀, 陈静, 等. 新疆冰雹历时的气候特征[J]. 绿洲农业科学与工程, 2023, 9(2): 17-24.
[8] 朱思华, 罗继, 曲良璐. 新疆阿克苏地区冰雹时空分布及雷达回波特征[J]. 沙漠与绿洲气象, 2021, 15(2): 81-88.
[9] 衣娜娜, 苏立娟, 郑旭程, 等. 冰雹天气的环境参量及预报模型[J]. 干旱区研究, 2024, 41(1): 13-23.
[10] 马中元, 王金鑫, 张林才, 等. 基于雷达拼图CR产品四要素识别冰雹云的方法[J]. 大气科学学报, 2024, 47(5): 826-840.
[11] 刘杰, 张国晶, 王晓英, 等. 基于决策树算法的青海省高原地区冰雹预报及关键特征因子分析[J]. 高原气象, 2025, 44(6): 1519-1533.
[12] 尉英华, 花家嘉, 王莹, 等. 近11年天津冰雹统计特征及对流参数指标分析[J]. 气象, 2023, 49(2): 213-223.
[13] 强德厚, 刘俊卿, 丁建芳, 等. 青藏高原夏季一次冰雹过程的微物理特征[J]. 气象, 2024, 50(6): 701-710.
[14] 姚俊强, 陈静, 周桂香. 新疆南部干旱区暴雨研究: 科学认知与主要进展[J]. 沙漠与绿洲气象, 2024, 18(5): 1-8.
[15] 罗继, 曲良璐, 穆热扎. 吾守尔. 2016年5月新疆第一师三团一次强冰雹天气成因分析[J]. 贵州气象, 2017, 41(4): 45-51.
[16] 陈艳丽, 姜爱红, 周雪英, 等. 新疆图木舒克市冰雹天气的环流背景和判识指标分析[J]. 气候变化研究快报, 2020, 9(5): 588-595.
[17] 希热娜依·铁里瓦尔地, 胡素琴, 玛依热·艾海提, 等. 塔里木盆地西缘两次致灾冰雹环境场和雷达特征对比分析[J]. 沙漠与绿洲气象, 2022, 16(3): 16-23.
[18] 彭军, 汤达章, 周雪英. 库尔勒市2015年两次冰雹天气成因及雷达回波特征对比分析[J]. 干旱区地理, 2019, 42(4): 753-761.
[19] 庄晓翠, 张云惠, 周雪英, 等. 新疆短时强降水天气雷达回波特征[J]. 气象, 2021, 47(11): 1402-1415.
[20] 思华, 罗继, 曲良璐. 新疆阿克苏地区冰雹时空分布及雷达回波特征[J]. 沙漠与绿洲气象, 2021, 15(2): 81-88.
[21] 安大维, 陈春艳, 窦刚, 等. 阿克苏地区西部冰雹天气雷达回波演变特征分析[J]. 沙漠与绿洲气象, 2022, 16(6): 59-66.