基于多源数据的乌鲁木齐机场高影响降雪天气分析

Analysis of High-Impact Snowfall Weather at Urumqi Airport Based on Multi-Source Data

摘要: 利用风云四号A星TBB资料、AWOS系统降水资料、微波辐射计资料及多普勒天气雷达资料对2023年1月11日~13日乌鲁木齐机场一次高影响降雪天气进行研究。结果表明：1) TBB值的变化对降雪天气的短时临近预报有较好的指示意义，降雪前TBB值骤降预示着降雪的开始，在降雪过程中，TBB值减小对应降雪强度加强，二TBB值骤增则预示着降雪将结束。2) 雷达回波整体连续，中心范围增大，强度增强时，降水明显上升，并稳定维持；回波减弱消散时，对应降水减弱并结束。3) 微波辐射计可以展现降水过程中垂直方向连续的水汽动态变化，对降水天气的临近预报有较好的辅助参考作用。

Abstract: Using TBB data from Fengyun-4A satellite, precipitation data from AWOS system, microwave radiometer data, and Doppler weather radar data, this study investigates a snowfall event at Urumqi Airport from January 11~13, 2023. The results show that: 1) The change of TBB value has a good indicator significance for the short-time forecast of snowfall weather. The sudden drop of TBB value before snowfall indicates the beginning of snowfall, the decrease of TBB value during snowfall corresponds to the strengthening of snowfall intensity, and the sudden increase of TBB value indicates the end of snowfall. 2) When the radar echo is continuous as a whole, the center range is increased, and the intensity is increased, the precipitation rises obviously and remains stable; When the echo weakens and dissipates, the corresponding precipitation weakens and ends. 3) The microwave radiometer can show the continuous dynamic change of water vapor in the vertical direction during the precipitation process, which has a good auxiliary reference for the precipitation weather forecast.