A Density Based Convective Storm Identification Method For Radar Data.
编号:171 访问权限:公开 更新:2020-10-15 20:08:09 浏览:310次 张贴报告

报告开始:2020年11月04日 15:15(Asia/Shanghai)

报告时间:5min

所在会场:[G] Poster session [G4] Poster Session 4 and Poster Session 9

摘要
 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.
关键词
Lightning now,Storm identification,TITAN,DBSCAN
报告人
Zhuoyu Zhang
Huazhong University of Science and Technology

Jin Yang
Huazhong University of Science and Technology

Huazhong University of Science and Technology

稿件作者
Zhuoyu Zhang Huazhong University of Science and Technology
Jin Yang Huazhong University of Science and Technology
Zhenghao He Huazhong University of Science and Technology
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重要日期
  • 会议日期

    11月02日

    2020

    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
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