多普勒测风激光雷达是一种有效的具有高时空分辨率的遥感测风仪器。然而，由于雨滴反射的干扰信号，在雨天条件下进行精确的风廓线测量是一个挑战，但是这也为探测降雨提供了一种可能。在这项工作中，一台垂直指向的1.5 μm全光纤相干多普勒激光雷达被应用于风和雨的同时探测。由于相干多普勒激光雷达能够进行精确的频谱测量，因此在下雨天，它可以同时检测到气溶胶和雨滴的回波信号。具有速度差异的气溶胶和雨滴的回波信号会导致多普勒频谱出现两个峰值，从而可以根据频谱宽度来识别降雨事件。通过双高斯模型拟合多普勒频谱，可以获得两个速度，分别为风速和雨速。与微雨雷达结果的对比验证了多普勒激光雷达探测降雨的能力，同时也降低了多普勒激光雷达在雨天条件下风速的错误探测概率。

Doppler wind lidar is an effective remote wind measurement instrument with high temporal and spatial resolution. However, due to the interference signal reflected by raindrops, it is a challenge to perform precise wind profile measurements under rainy conditions, but it also provides a possibility for detecting rainfall. In this work, a compact all-fiber coherent Doppler lidar(CDL) operating at wavelength of 1.5 μm was applied for simultaneous wind and rainfall precipitation detection. Due to the ability of precise spectrum measurement, both aerosol and rainfall signals can be detected by the CDL under rainy conditions. The echo signals from aerosols and raindrops with different speeds will cause two peaks in the Doppler spectrum, so that the spectrum width can be used to identified rainfall events. A two-component Gaussian model was applied to fit the spectrum and two velocities were obtained. The comparison with the results of the micro rain radar verifies the CDL′s ability of rain measurement, meanwhile, the false detection probability of wind speed in the rainy conditions is also reduced.