融合多源探测资料的贵阳机场低空风切变识别与预报应用研究
Research on the Application of Low Altitude Wind Shear Identification and Forecasting at Guiyang Airport by Integrating Multi Source Detection Data
摘要: 低空风切变严重威胁飞行安全。文章利用欧洲中心ERA5 0.25˚ × 0.25˚逐小时再分析资料、贵阳机场2021年12月~2026年4月话音方式航空器空中报告、自观资料、天气雷达资料、风廓线雷达资料及激光测风雷达资料,对贵阳机场锋面、雷暴外流、动量下传、逆温等4种类型的风切变个例展开分析,探讨监测识别和资料应用。结果表明:冬末春初为低空风切变高发时段,激光雷达对锋面型风切变有约30min预警时效,自观和风廓线雷达对各型风切变的预警修订与解除有重要参考价值。构建“数值预报早期识别–天气雷达与地面自观短临修订–激光雷达临近预警–风廓线雷达全程监测”的递进式预报预警思路,有助于提升风切变的识别与预警。
Abstract: Low altitude wind shear poses a serious threat to flight safety. The article uses hourly reanalysis data of ERA5 0.25˚ × 0.25˚ from the European Center, aerial reports of voice based aircraft at Guiyang Airport from December 2021 to April 2022, observational data, weather radar data, wind profile radar data, and laser wind radar data to analyze four types of wind shear cases at Guiyang Airport, including frontal, thunderstorm outflow, momentum transfer, and inversion, and explore monitoring identification and data application. The results indicate that the late winter and early spring are high incidence periods for low altitude wind shear. Lidar has a warning time of about 30 minutes for frontal wind shear, and self observation and wind profile radar have important reference value for revising and lifting warnings for various types of wind shear. Constructing a progressive forecasting and early warning approach of “early identification of numerical forecasts-short-term revision of weather radar and ground observation-laser radar proximity warning-full monitoring of wind profile radar” can help improve the identification and early warning of wind shear.
文章引用:杨凤婷. 融合多源探测资料的贵阳机场低空风切变识别与预报应用研究[J]. 自然科学, 2026, 14(4): 424-432. https://doi.org/10.12677/ojns.2026.144047

参考文献

[1] ICAO (2005) Manual on Low-Level Wind Shear. International Civil Aviation Organization.
[2] 韩巽. 民航起飞阶段低空风切变对飞行安全的影响[J]. 中国航班, 2023(9): 39-42.
[3] 王朝霞. 低空风切变对飞机起飞及着陆的影响[J]. 陕西气象, 2001(4): 9-11.
[4] 王青梅, 郭利乐. 激光雷达在机场低空风切变探测中的应用[J]. 激光与红外, 2012, 42(12): 1324-1328.
[5] 戴丽莉. 探测微尺度风切变场的多普勒激光雷达研究[D]: [硕士学位论文]. 南京: 南京理工大学, 2010.
[6] Hannon, S.M., Thomson, J.A.L, Henderson, S.W., et al. (1995) Wind Shear, Turbulence, and Wake Vortex Characterization Using Pulsed Solid State Coherent Lidar. SPIE Proceedings, 2464, 94-102. [Google Scholar] [CrossRef
[7] 胡明宝, 肖文建. 风廓线雷达中风切变分析方法的初步研究[J]. 气象科学, 2010, 30(4): 510-515.
[8] 赵文凯, 单雨龙, 赵世军. 激光测风雷达监测低空风切变研究进展[J]. 气象水文海洋仪器, 2020, 37(4): 97-100, 104.
[9] 马利柱. 延吉朝阳川国际机场低空风切变成因分析[J]. 气象水文海洋仪器, 2024(2): 94-96.
[10] 张洪玮, 吴松华, 尹嘉萍, 等. 基于短距相干测风激光雷达的机场低空风切变观测[J]. 红外与毫米波学报, 2018, 37(4): 468-476.
[11] 古鑫. 机场复杂天气预报预警系统的开发和实现[J]. 科技创新导报, 2021, 18(12): 1-3.
[12] 罗浩, 张亚男. 边界层风廓线雷达资料在贵阳机场一次强对流天气分析中的应用[J]. 气候变化研究快报, 2022, 11(5): 680-692.
[13] 张亚男, 罗浩. 贵阳机场低空风切变成因初步分析[J]. 气象科技进展, 2023, 13(2): 58-66.
[14] 罗娅, 陶勇. 贵阳机场低空风切变特征及影响机制初探[J]. 自然科学, 2024, 12(5): 1121-1129.