海洋气象学报2025，Vol.45Issue(5)：36-44,9.DOI:10.19513/j.cnki.hyqxxb.20250505001
大兴机场激光测风雷达风切变告警时空特征及天气分型研究
Spatiotemporal characteristics of wind shear alerts from wind lidar and weather pattern classifications at Beijing Daxing International Airport
摘要
Abstract
Based on wind lidar observation data from Beijing Daxing International Airport from 2021 to 2022,a systematic analysis is conducted on the spatiotemporal distribution characteristics of low-level wind shear alerts.Furthermore,the relationship between wind shear alerts and weather conditions is examined using 133 alert events in 2022.The results are as follows.(1)There are significant seasonal and diurnal variations in wind shear alerts,with a peak period from April to June and a notably higher alert frequency during nighttime compared to daytime.(2)Weather pattern classifications reveal that wind shear events associated with thunderstorms and strong winds account for approximately one-third of the total alerts,and only 9％of the alerts are triggered by temperature inversion breakdowns.(3)Under stable synoptic conditions,the wind shear alerts caused by vertical wind speed differences tend to last longer.(4)Case studies confirm that the wind lidar system can effectively detect abrupt changes in wind direction and speed caused by cold air intrusions,achieving a wind shear alert hit rate of up to 74％during strong wind events.These findings provide technical support for diagnosing the causes of wind shear,optimizing alert thresholds and improving multi-source data fusion.关键词
激光测风雷达/低空风切变/时空特征/天气分型/北京大兴国际机场Key words
wind lidar/low-level wind shear/spatiotemporal characteristics/weather pattern classification/Beijing Daxing International Airport分类
天文与地球科学引用本文复制引用
孙丝雨,张曦,张志轩..大兴机场激光测风雷达风切变告警时空特征及天气分型研究[J].海洋气象学报,2025,45(5):36-44,9.基金项目
2024年民航安全能力建设项目第396号项目 （）
