乌鲁木齐机场一次雨夹雪天气的数值模拟分析
Numerical Simulation Analysis of a Sleet Weather Event at Urumqi Airport

利用WRF模式对2022年11月23日~24日乌鲁木齐机场的一次复杂天气过程进行了数值模拟，分析得出：此次过程中包含雨夹雪、雾、雨、雪等多种天气，但乌鲁木齐机场航班正常率并未受影响，主要是因为此次过程中降雨、降雪强度均较弱，并且对于低能见度天气，机组可以使用盲降；WRF参数化方案敏感性实验中WSM6和5-layer热扩散的组合，模拟效果最好；各个方案对高度场和温度场的模拟效果较好，风场的模拟效果较差，主要在纬向风的模拟效果差；降水落区模拟效果好，但大值区的降水量模拟效果差。对于组合反射率等高空间分辨率的雷达回波模拟，数值模式只能模拟大致的范围和值区间，不能达到较高精度的准确。
A numerical simulation of a complex weather process at Urumqi Airport from November 23 to 24, 2022 was conducted using the WRF model. The analysis showed that the process included various weather conditions such as sleet, fog, rain, and snow, but the normal flight rate at Urumqi Airport was not affected. This was mainly because the intensity of rainfall and snowfall was weak during the process, and for low visibility weather, the crew could use blind landing; The combination of WSM6 and 5-layer thermal diffusion showed the best simulation effect in the sensitivity experiment of WRF parameterization scheme; The simulation effects of various schemes on the height field and temperature field are good, while the simulation effect of the wind field is poor, mainly in the simulation effect of zonal wind; The simulation effect of precipitation areas is good, but the simulation effect of precipitation in high-value areas is poor. For the simulation of radar echoes with high spatial resolution such as combined reflectivity, numerical models can only simulate approximate ranges and value intervals, and cannot achieve high accuracy.