首页> 外文期刊>大气科学进展(英文版) >Comprehensive Marine Observing Experiment Based on High-Altitude Large Unmanned Aerial Vehicle (South China Sea Experiment 2020 of the 'Petrel Project')
【24h】

Comprehensive Marine Observing Experiment Based on High-Altitude Large Unmanned Aerial Vehicle (South China Sea Experiment 2020 of the 'Petrel Project')

机译:基于高空大型无人机的综合海洋观测实验(南海实验2020“Petrel项目”)

获取原文
获取原文并翻译 | 示例
       

摘要

In collaboration with 12 other institutions, the Meteorological Observation Center of the China Meteorological Administration undertook a comprehensive marine observation experiment in the South China Sea using the Yilong-10 high-altitude large unmanned aerial vehicle(UAV). The Yilong-10 UAV carried a self-developed dropsonde system and a millimeter-wave cloud radar system. In addition, a solar-powered unmanned surface vessel and two drifting buoys were used. The experiment was further supported by an intelligent, reciprocating horizontal drifting radiosonde system that was deployed from the Sansha Meteorological Observing Station, with the intent of producing a stereoscopic observation over the South China Sea. Comprehensive three-dimensional observations were collected using the system from 31 July to2 August, 2020. This information was used to investigate the formation and development processes of Typhoon Sinlaku(2020). The data contain measurements of 21 oceanic and meteorological parameters acquired by the five devices, along with video footage from the UAV. The data proved very helpful in determining the actual location and intensity of Typhoon Sinlaku(2020). The experiment demonstrates the feasibility of using a high-altitude, large UAV to fill in the gaps between operational meteorological observations of marine areas and typhoons near China, and marks a milestone for the use of such data for analyzing the structure and impact of a typhoon in the South China Sea. It also demonstrates the potential for establishing operational UAV meteorological observing systems in the future, and the assimilation of such data into numerical weather prediction models.

著录项

  • 来源
    《大气科学进展(英文版)》 |2021年第4期|531-537|共7页
  • 作者单位

    Meteorological Observation Center of the China Meteorological Administration Beijing 10081 China;

    Beijing Institute of Radio Measurement China Aerospace Science and IndustryCorporation Beijing 100854 China;

    AVIC Leihua Electric Technology Research Institute Wuxi 421063 China;

    Meteorological Observation Center of the China Meteorological Administration Beijing 10081 China;

    Meteorological Observation Center of the China Meteorological Administration Beijing 10081 China;

    Meteorological Observation Center of the China Meteorological Administration Beijing 10081 China;

    Meteorological Observation Center of the China Meteorological Administration Beijing 10081 China;

    Meteorological Observation Center of the China Meteorological Administration Beijing 10081 China;

    Meteorological Observation Center of the China Meteorological Administration Beijing 10081 China;

    Meteorological Observation Center of the China Meteorological Administration Beijing 10081 China;

    Hainan Provincial Meteorological Bureau of the China Meteorological Administration Hainan 570203 China;

    Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China;

    Meteorological Observation Center of the China Meteorological Administration Beijing 10081 China;

    AVIC Chengdou Aircraft Industry (Group) Co. Ltd. Chengdou 610092 China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号