Three-dimensional multi-parameter collaborative strong convective echo body identification method and computer equipment
By combining multiple radar parameters in a three-dimensional collaborative identification method, the problems of insufficient identification stability and high computational complexity in existing technologies are solved. This method achieves efficient and stable identification and real-time processing of convective echo bodies, and is suitable for identification and early warning applications of various strong convective systems.
Patent Information
- Application Number
- CN202610183897.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-09
- Publication Date
- 2026-05-15
AI Technical Summary
Existing methods for identifying strong convection echoes lack stability under complex observation conditions, rely on a single radar physical quantity, are computationally complex and have low processing efficiency, making it difficult to meet the real-time identification requirements of high-resolution radar data.
A three-dimensional multi-parameter collaborative method for identifying strong convective echo bodies is adopted. This method combines multiple radar parameters such as dBZ, CR, SW, and MCV, and constructs a three-dimensional vertical consistency constraint through pixel-by-pixel and elevation-by-elevation angle identification. This generates multi-band binary raster data, simplifies the calculation process, and improves the stability and adaptability of the identification.
It significantly improves the stability and reliability of strong convection echo body identification, is applicable to different types of strong convection systems, reduces computational complexity, meets the real-time identification requirements at the minute-level time scale, and the results facilitate subsequent business applications.