摘要详情
  1. 活动首页
  2. 摘要清单
  3. 摘要详情
28 / 2020-09-24 14:59:36
A Density Based Convective Storm Identification Method For Radar Data
Lightning nowcasting,Covective storm,TITAN,DBSCAN
High Voltage and Insulation Technology > Other topics in high voltage and insulation technology
全文录用
Zhuoyu Zhang / the State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Jin Yang / the State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Zhenghao He / the State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Many convective storm identification algorithms based on radar data have been designed and widely used in forecasting applications not only weather departments, but also by the power departments, but the main innovation points of those algorithms are often focused on tracking and extrapolation methods. Most algorithms identify convective storm entities by defining contiguous regions that exceed one or more reflectivity threshold values. With the development of radar technology, the temporal and spatial resolution of radar data is getting higher and higher. The simple contiguous region method can’t be well adapted to higher resolution data and can’t meet diverse application requirements. This article devised a convective storm identification method based on a improved DBSCAN algorithm. Through comparing with a traditional method, it is found that the proposed method can provide more complete contour of identified storms and the identification result of high reflectivity regions is better, moreover, it has more parameters to adjust to meet more complex application requirements.

 
重要日期

  • 会议日期

    11月02日

    2020

    至

    11月04日

    2020

  • 10月27日 2020

    初稿截稿日期

  • 11月03日 2020

    报告提交截止日期

  • 11月04日 2020

    注册截止日期

  • 11月17日 2020

    终稿截稿日期

主办单位
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
承办单位
Huazhong University of Science and Technology
联系方式
登录查看完整联系方式
历届会议
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询