###
DOI:
本文二维码信息
旋翼无人机边界层气象环境观测资料验证及其在浓雾天气中的应用
王宏斌1,2, 吴泓1,2, 李永3, 徐家平1,2, 祖繁1,2, 张志薇4
(1.中国气象局交通气象重点开放实验室;2.江苏省气象科学研究所;3.南京市气象局;4.江苏省气象服务中心)
Validation of the rotorcraft UAV boundary layer meteorological observation data and its application in a heavy fog event
WANG Hongbin1,2, WU Hong2,1, LI Yong3, XU Jiaping1, ZU Fan2,1, ZHANG Zhiwei4
(1.Key Laboratory of Transportation Meteorology of China Meteorological Administration;2.Jiangsu Institute of Meteorological Sciences;3.Nanjing Meteorological Bureau;4.Jiangsu Meteorological Service Center)
摘要
相似文献
本文已被:浏览 35次   下载 12
投稿时间:2018-11-06    修订日期:2019-02-20
中文摘要: 2018年3月28日–30日、6月20日–26日和9月5日–13日在江苏省盐城市射阳站开展了旋翼无人机大气边界层垂直结构观测试验,并与L波段雷达探空资料进行对比,验证无人机观测资料精度。结果表明无人机观测的温度、相对湿度、风向、风速廓线与探空观测资料具有较好的一致性。二者温度、湿度的相关系数均为0.98,温度绝对偏差为0.57℃,湿度绝对偏差为4.25%,风向绝对偏差为11.5°,二者风速的相关系数为0.91,绝对偏差为1.88m/s,且无人机探测的风速为对应高度上的瞬时风速,可以更好地反映出边界层内风速细节变化特征。试验期间,无人机加密观测到一次夏季浓雾过程边界层结构细致变化特征,日出后加热地表,浓雾随着贴地逆温的消失而消散。验证结果表明无人机在边界层气象环境观测中具有很好的应用前景。
Abstract:The observation experiments of boundary layer meteorological by rotorcraft UAV were carried out from 28 to 30 March 2018, from 20 to 26 June 2018 and from 5 to 13 September 2018 in Yancheng, Jiangsu province, China, respectively. Comparison with L-band radar sounding data to verify the accuracy of UAV observation data. The results show that the observation data of temperature, relative humidity, wind direction and wind speed vertical profile measured by UAV are in good agreement with the observation data of the L-band radar sounding data. The correlation coefficient of temperature, RH (Relative Humidity) and WS (Wind Direction) of UAV and L-band radar sounding are 0.98, 0.98 and 0.91, respectively. The absolute deviation of temperature, RH, WD and WS (Wind Speed) are 0.57 ℃, 4.25%, 11.5° and 1.88m/s. The wind speed observed by the UAV is the instantaneous wind speed at the corresponding height, which can better reflect the wind speed details characteristics in the boundary layer. During the observation experiments, the UAV observed the detailed changes of boundary layer structure with a summer heavy fog process. The heavy fog dissipated with the disappearance of the temperature inversion when the ground surface was heated after sunrise. The result of verification shows that the UAV has a good application prospect in the boundary layer meteorological observation.
文章编号:201811060483     中图分类号:P412    文献标志码:
基金项目:江苏省自然科学青年基金(BK20161073)和江苏省重点研发计划(社会发展)(SBE2016710052)共同资助
引用文本:
王宏斌,吴泓,李永,徐家平,祖繁,张志薇,0.[en_title][J].Meteor Mon,():-.
WANG Hongbin,WU Hong,LI Yong,XU Jiaping,ZU Fan,ZHANG Zhiwei,0.Validation of the rotorcraft UAV boundary layer meteorological observation data and its application in a heavy fog event[J].Meteor Mon,():-.