Han Yuli, Liu Jie, Sun Dongsong, Han Fei, Zhou Anran, Zhao Ruocan, Xue Xianghui, Chen Tingdi, Zhen Fudong, Lu Ye
Appl Opt. 2020 Mar 20;59(9):2686-2694. doi: 10.1364/AO.384634.
Coherent Doppler lidar (CDL) has long been used to automatically identify gust front-induced wind shear signatures from the velocity data, but rare attention has been given to the fine structure of wind gust fronts. In this work, a compact and robust CDL with high efficiency and accuracy is equipped at Lanzhou Airport (103°49$^{\prime}$E, 36°03$^{\prime}$N) to conduct interpretation of wind gust front structures by using high-resolution CDL data. Outflows of gust fronts could be detected reliably from radial velocities, spectral widths, as well as radial shears. For the case study presented here, photographs of the velocity and spectrum width capacitates gust front characteristics such as height, advance speed, and radial shear, as well as vertical structure to be displayed in minute detail. Besides, the quasi-continuous vertical wind reveals the potential turbulent mixing and vertical transport process during the gust front event, which makes CDL a very attractive and essential technique for future development of gust front automatic detection systems.
相干多普勒激光雷达（CDL）长期以来一直被用于从速度数据中自动识别阵风锋引起的风切变特征，但很少有人关注阵风锋的精细结构。在这项工作中，在兰州中川国际机场（东经103°49$^{\prime}$，北纬36°03$^{\prime}$）配备了一台紧凑且坚固、高效且准确的CDL，以利用高分辨率CDL数据对阵风锋结构进行解读。可以从径向速度、光谱宽度以及径向切变中可靠地检测到阵风锋的外流。对于此处呈现的案例研究，速度和光谱宽度的照片能够详细展示阵风锋的特征，如高度、前进速度和径向切变，以及垂直结构。此外，准连续的垂直风揭示了阵风锋事件期间潜在的湍流混合和垂直输送过程，这使得CDL成为阵风锋自动检测系统未来发展中一项非常有吸引力且必不可少的技术。
