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测风激光雷达在拉萨贡嘎机场转风预报中的应用

Application of wind LiDAR in wind turning forecast at Lhasa Gongga Airport

  • 摘要: 拉萨贡嘎机场地处雅鲁藏布江河谷,地形和下垫面共同作用导致风场环境复杂,为了验证测风激光雷达在高高原的风场探测能力,总结转风预报经验,利用FC-Ⅲ型测风激光雷达图像,结合航空器空中报告和地面观测资料,对风切变监测功能和转风过程要素特点进行了分析。结果表明, 测风激光雷达擅长对风场的高时空密度进行监测, 可以较好地捕捉到4000 m范围内进近航路的风切变; 雨季,通过雷达图像能提前跟踪1000 m~2000 m对流云中层外流和1000 m以下近地面强风区推进情况,根据最大风速、距离等要素推算出跑道精细化转风时间;干季,南风分量的触发高度为1000 m~1500 m,转南风后存在中层动量损失、垂直气流和散度突变等特点,转西风前20 min,1000 m~2000 m高度层的西风分量持续增大至10 m/s以上,转风后中高层西风分量维持,可以统计入流区推进位置和转风时间的相关性,为精细化预报积累指标。此项工作对拓展测风激光雷达在高高原地区的应用场景、提升地面风精细化预报水平具有重要意义。

     

    Abstract: Lhasa Gonggar Airport is located in the Yarlung Zangbo River Valley. Due to the combined effects of topography and underlying surface, the wind field environment here is complex. In order to verify the wind field detection capability of wind light detection and ranging (LiDAR) on the high plateau and summarize the experience of wind change forecast, FC-Ⅲ wind LiDAR was used. Combined with aircraft air reports and ground observation data, the wind shear monitoring capability and wind change process LiDAR product characteristics were analyzed. The results show that the high temporal and spatial density monitoring capability of wind LiDAR can better capture the wind shear on the approach route within a range of 4000 m; can The conduction of the mid-level outflow ranging from 1000 m to 2000 m and the advancement of the near-ground strong wind area which below 1000 m caused by convective clouds in advance can be tracked by the LiDAR product of the wind change process in the rainy season. The refined wind change time of the runway based on factors such as maximum wind speed and distance were further calculated; during the dry season, the triggering height of southerly component is 1000 m to 1500 m, there are characteristics such as mid-level momentum loss, vertical airflow and divergence mutation after ground wind turning, 20 min before turning to the west wind, the westerly component ranging from 1000 m to 2000 m has increased to more than 10 m/s, the middle-level and high-level westerly component are maintained after ground wind turning, and the relationship between the inflow area advancement position and the wind transition node can be statistically analyzed as an accumulation index for refined forecasting. This study has important reference value for broadening the application scenarios of wind LiDAR in high plateaus and improving the level of refined ground wind forecasting.

     

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