Estimation of Wind Vector Profile Using a Hexarotor Unmanned Aerial Vehicle and Its Application to Meteorological Observation up to 1000 m above Surface

Author:

Shimura Tomoya1,Inoue Minoru2,Tsujimoto Hirofumi2,Sasaki Kansuke1,Iguchi Masato1

Affiliation:

1. Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan

2. Japan Weather Association, Tokyo, Japan

Abstract

AbstractSmall unmanned aerial vehicles (UAVs), also known as drones, have recently become promising tools in various fields. We investigated the feasibility of wind vector profile measurement using an ultrasonic anemometer installed on a 1-m-wide hexarotor UAV. Wind vectors measured by the UAV were compared to observations by a 55-m-high meteorological tower, over a wide range of wind speed conditions up to 11 m s−1, which is a higher wind speed range than those used in previous studies. The wind speeds and directions measured by the UAV and the tower were in good agreement, with a root-mean-square error of 0.6 m s−1 and 12° for wind speed and direction, respectively. The developed method was applied to field meteorological observations near a volcano, and the wind vector profiles, along with temperature and humidity, were measured by the UAV for up to an altitude of 1000 m, which is a higher altitude range than those used in previous studies. The wind vector profile measured by the UAV was compared with Doppler lidar measurements (collected several kilometers away from the UAV measurements) and was found to be qualitatively similar to that captured by the Doppler lidar, and it adequately represented the features of the atmospheric boundary layer. The feasibility of wind profile measurement up to 1000 m by a small rotor-based UAV was clarified over a wide range of wind speed conditions.

Funder

Ministry of Education, Culture, Sports, Science and Technology

Publisher

American Meteorological Society

Subject

Atmospheric Science,Ocean Engineering

Reference20 articles.

1. Lightweight unmanned aerial vehicles will revolutionize spatial ecology;Anderson;Front. Ecol. Environ.,2013

2. The surface layer observed by a high-resolution sodar at DOME C, Antarctica;Argentini;Ann. Geophys.,2013

3. Simultaneous multicopter-based air sampling and sensing of meteorological variables;Brosy;Atmos. Meas. Tech.,2017

4. Observed and modelled convective mixing-layer height at DOME C, Antarctica;Casasanta;Bound.-Layer Meteor.,2014

5. Diurnal winds in the Himalayan Kali Gandaki valley. Part III: Remotely piloted aircraft soundings;Egger;Mon. Wea. Rev.,2002

Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3