Marine mesoscale vortex identification method and device
By comprehensively utilizing the data of a variety of marine environment numerical forecast products, using multiple vortex recognition algorithms and cluster analysis, we can identify and characterize various feature information of mesoscale vortexes, solving the problem of difficult to quickly and accurately identify mesoscale vortexes in the prior art, and achieving efficient and comprehensive identification and characterization of vortex feature information.
Patent Information
- Application Number
- CN202411946921.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-27
- Publication Date
- 2025-05-06
AI Technical Summary
The prior art is difficult to quickly and accurately identify and extract the characteristic information of mesoscale vortexes from massive marine environmental data. Traditional manual identification is time-consuming and labor-intensive, and automatic identification methods are difficult to comprehensively and accurately characterize the complex characteristics of vortexes.
By comprehensively utilizing the input data of a variety of marine environment numerical forecast products, a variety of pre-set vortex recognition algorithms (such as Okubo-Weiss parameter method, vector geometry method, rotation invariance method and SSH contour method) are used, and multiple feature information of mesoscale vortex are identified and characterized through clustering analysis and feature extraction.
It realizes rapid and accurate identification of various characteristic information such as mesoscale vortex position, influence depth, range radius, movement speed, intensity, etc., overcomes the limitations of a single method, improves the accuracy and comprehensiveness of the identification, and provides strong technical support for marine scientific research.