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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
Draft Accepted
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.

 
Important Date

  • Conference Date

    Nov 02

    2020

    to

    Nov 04

    2020

  • Oct 27 2020

    Draft paper submission deadline

  • Nov 03 2020

    Contribution Submission Deadline

  • Nov 04 2020

    Registration deadline

  • Nov 17 2020

    Final Paper Deadline

Sponsored By
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
Organized By
Huazhong University of Science and Technology
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