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降雨强度对激光雷达测风精度的影响研究 被引量:3

Research on Influence of Rainfall Intensity on Accuracy of Wind Observation Based on Doppler Lidar
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摘要 多普勒激光雷达在大气、环境以及风能等领域得到越来越广泛的应用,但对于复杂天气下多普勒激光雷达的适用性仍然有待深入研究。为此本研究采用2020年8—10月期间位于福建三沙的地基多普勒激光雷达与边界层高塔所搭载的超声风温仪观测的风场数据进行对比,发现多普勒激光雷达在水平风速、风向方面具有稳定的高精度探测性能,与超声风温仪之间相关系数达到了0.948和0.984。相比之下,激光雷达垂直风速的探测误差较大,与超声风温仪之间相关系数仅有0.353。研究发现,降雨强度与激光雷达垂直风速误差呈正相关关系,强降雨下垂直风速偏差最大可达到9 m/s。 Doppler wind lidar has been increasingly widely used in various fields such as atmosphere,environment and wind energy in recent years,but the applicability of Doppler wind lidar under complex weather still needs to be studied in depth.In this study,the wind data from the ground-based lidar in Sansha,Fujian Province,is compared with the wind field data observed from August to October 2020 by the ultrasonic wind thermometer on board the boundary layer tower.It is found that the Doppler wind lidar has stable and high accuracy detection performance in horizontal wind speed and wind direction,and the correlation coefficients between the Doppler wind lidar and the ultrasonic wind thermometer reach 0.948 and 0.984.In contrast,the detection error of vertical wind speed observed by the Doppler wind lidar is higher than that of the ultrasonic wind thermometer.The vertical wind speed correlation coefficient from the Doppler wind lidar and the ultrasonic anemometer is only 0.353.It is found that the vertical wind speed error from Doppler wind lidar is correlated with the rainfall intensity,and the maximum vertical wind speed deviation could reach 9 m·sunder strong rainfall.
作者 陈泉 史文浩 汤杰 赵兵科 陈叙捷 陈勇航 林立旻 严嘉明 马骁骏 骆梦洁 CHEN Quan;SHI Wenhao;TANG Jie;ZHAO Bingke;CHEN Xujie;CHEN Yonghang;LIN Limin;YAN Jiaming;MA Xiaojun;LUO Mengjie(Donghua University,Shanghai 201600;Shanghai Typhoon Institute,China Meteorological Administration,Shanghai 200030;Xiapu Meteorological Bureau,Fujian Province,Xiapu 355199;Department of Atmospheric and Ocean Sciences,Fudan University,Shanghai 200433)
出处 《气象科技》 2022年第3期324-333,共10页 Meteorological Science and Technology
基金 科技部重点研发计划(2018YFC1506305和2018YFC1506303) 科技部重点研发计划国际合作专项(2017YFE0107700) 国家自然科学基金(41775065,41475060,41805088)资助。
关键词 多普勒测风激光雷达 超声风温仪 边界层风场 降雨 Doppler wind lidar ultrasonic anemometer boundary layer wind field rainfall
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