Icing prediction method and system based on terrain potential energy field and multi-scale meteorological coupling
Through the method of terrain potential tensor and multi-scale meteorological coupling, the problems of model fragmentation and lack of terrain coupling in ice cover prediction are solved, high-precision ice cover thickness prediction under complex terrain and extreme meteorological conditions is achieved, and the stability and timeliness of the prediction are improved.
Patent Information
- Application Number
- CN202510689900.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-27
- Publication Date
- 2025-09-05
AI Technical Summary
Existing ice cover prediction technologies have problems such as model fragmentation, lack of terrain coupling and inaccuracy in extreme scenarios, which lead to a significant increase in ice cover thickness prediction errors under complex terrain and extreme meteorological conditions.
By constructing a terrain potential energy tensor to quantify the dynamic influence of terrain elements on wind acceleration and humidity concentration and dispersion, combined with the meteorological field correction of multi-scale partial differential coupling equations, a physical-data dual-model collaborative prediction framework is established, integrating the ice growth mechanism and complex nonlinear relationships to achieve accurate prediction of ice thickness.
It significantly improves the accuracy of ice cover prediction in complex terrain and extreme meteorological conditions, enhances the timeliness and stability of prediction, and solves the problem that traditional static terrain parameters cannot represent dynamic terrain properties.
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Abstract
Citation Information
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