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漂浮式多普勒激光雷达低空风廓线反演方法

Inversion Method for Low-Altitude Wind Profile Based on Floating Doppler Lidar
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摘要 激光雷达能够提供高时空分辨率的大气风场数据,为了提高激光雷达在海上浮标等运动平台上的观测精度,开展了基于漂浮式测风激光雷达系统的海气边界层风场反演算法研究。利用自主研发的漂浮式测风激光雷达系统的观测数据,使用浮标平台姿态和径向速度校正方法、速度方位显示(VAD)风场反演方法,以及数据质量控制方法,提高风廓线反演结果的准确性。将同步观测实验结果与风廓线反演结果进行比对验证,结果表明水平风速和风向的比对误差分别为0.3 m/s和2.0°,决定系数分别为0.986和0.996,表明了漂浮式激光雷达风廓线反演算法的准确性。 Lidar is able to provide atmospheric wind field data with high spatial-and-temporal resolution.To improve the observation precision of lidars on offshore buoys and other moving platforms,an inversion algorithm for the wind field in the marine atmospheric boundary layer based on a floating wind lidar system is investigated.With the data observed by the self-developed floating wind lidar system,the methods of correcting the attitude and radial velocity of the buoy platform,the velocity-azimuth display(VAD)-based inversion method for the wind field,and the data quality control method are employed to improve the accuracy of the inversion results of wind profiles.The results of the simultaneous observation experiments are compared with the inversion results of the wind profiles for verification.The comparison shows that the matching errors in the horizontal wind speed and wind direction are 0.3 m/s and 2.0°,respectively,and the coefficients of determination of the two factors are 0.986 and 0.996,respectively,indicating the accuracy of the proposed inversion algorithm for wind profiles based on floating lidar.
作者 刘秉义 文强 王琪超 张凯临 吴松华 唐军武 Liu Bingyi;Wen Qiang;Wang Qichao;Zhang Kailin;Wu Songhua;Tang Junwu(Faculty of Information Science and Engineering,Ocean University of China,Qingdao 266100,Shandong,China;Laboratory for Regional Oceanography and Numerical Modeling,Qingdao National Laboratory for Marine Science and Technology,Qingdao 266237,Shandong,China;Engineering Department of Guanlan Satellite for Ocean Science,Qingdao National Laboratory for Marine Science and Technology,Qingdao 266237,Shandong,China)
出处 《光学学报》 EI CAS CSCD 北大核心 2022年第24期10-17,共8页 Acta Optica Sinica
基金 国家重点研发计划(2019YFC1408001,2019YFC1408002)。
关键词 海洋光学 激光雷达 浮标 风廓线 反演算法 质量控制 oceanic optics lidar buoy wind profile inversion algorithm quality control
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