作者：赵文凯, 赵世军, 单雨龙, 孙学金

作者单位：国防科技大学气象海洋学院，江苏 南京 211101

关键词：激光测风雷达;风场探测;反演算法;性能比对

摘要：

激光测风雷达作为一种新型测风设备，在风场精准探测领域具有重要应用前景。为实现激光测风雷达风场探测性能的评估，将相干脉冲激光测风雷达的测风数据与探空气球风场数据进行时空同步处理后开展比对分析。以探空气球风场数据为真值，通过区分不同天气条件、不同高度区间、不同风速区间对数据进行分类，计算两种风场数据的相关系数与平均偏差，分析激光测风雷达的风场探测性能。结果表明，激光测风雷达的风场探测性能整体较好，晴空条件下风速偏差约为1 m/s，风向偏差约为20°；不良天气条件会对激光测风雷达的探测性能造成较大影响，雨天时的影响最大。

Evaluation of wind detection performance based on wind lidar
ZHAO Wenkai, ZHAO Shijun, SHAN Yulong, SUN Xuejin
College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
Abstract: As a new type of wind measuring equipment, wind lidar has an important application prospect in the field of accurate wind field detection. In order to evaluate the wind detection performance of wind lidar, the wind data of coherent pulse wind lidar and sounding balloon are processed synchronously in time and space, and then compared and analyzed. Taking the sounding balloon wind field data as the true value, the data are classified by distinguishing different weather conditions, different altitude intervals and different wind speed intervals, and the correlation coefficient and average deviation of the two kinds of wind field data are calculated to analyze the wind field detection performance of wind lidar. The results show that the wind field detection performance of wind lidar is good, the wind speed deviation is about 1 m/s and the wind direction deviation is about 20° in clear sky; adverse weather conditions will have a great impact on the detection performance of lidar, especially in rainy days.
Keywords: wind lidar;wind field detection;inversion algorithm;performance comparison
2022, 48(1):147-153  收稿日期: 2020-11-23;收到修改稿日期: 2021-01-18
基金项目: 国家自然科学基金项目（41575020）
作者简介: 赵文凯（1997-），男，湖北襄阳市人，硕士研究生，专业方向为激光大气探测技术与应用研究
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