Aiming at the problem that the measurement results of OTT-Parsivel in elevated environment are prone to error due to the influence of ambient air flow, the authors propose the detection test of OTT-Parsivel on unstable platform, proposes the quality control method under different levels of wind speed, gives the measurement speed correction model, and gives simulation and error analysis. Based on the summer precipitation process in Beijing in 2020, several precipitation cases are analyzed by using the measured data of OTT-Parsivel, three-dimensional ultrasonic wind thermometer and dynamic inclination sensor at 280 meters. The results show that the proposed model has a good correction effect on the vertical falling velocity of raindrops, the velocity distribution of each dimension tends to be normal distribution, and the number of effective particles can increased by 6%. When the horizontal wind speed exceeds 8 m/s, the availability of OTT-Parsivel raindrop spectrometer measurement data is improved.

针对高架环境中OTT-Parsivel雨滴谱仪测量结果受环境气流影响易出现误差的问题, 开展不稳定平台的OTT-Parsivel激光雨滴谱仪探测试验, 提出在不同水平风速环境下的质量控制方法, 给出测量速度订正模型, 并对其进行仿真实验和误差分析。基于 2020年北京夏季降水过程, 利用280 m高处OTT-Parsivel激光雨滴谱仪、三维超声风温仪和动态倾角传感器的测量数据, 对多次降水个例进行分析。结果表明, 提出的模型对雨滴的垂直下落速度有良好的订正效果, 各尺度通道速度分布更趋于正态分布, 有效粒子数可提高6%。在缺少倾角测量的情形下, 利用超声风温仪风速数据估计缺失的倾角数据, 估算的倾角值与实测值的一致率可达96.43%。在水平风速超过8 m/s的大风情况下, OTT-Parsivel雨滴谱仪测量数据的可用性得到提高。