A forecast system assimilating weather radar data

By extracting physical constraints from radar data and assimilating multi-source data, the problems of response delay and misjudgment of non-meteorological noise in traditional numerical forecasting systems are solved, achieving highly reliable meteorological decision support and improving the scientificity and accuracy of business decisions.

CN122085419BActive Publication Date: 2026-07-07YUNHAI ZHICHUANG (JIANGSU) TECHNOLOGY CO LTD
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YUNHAI ZHICHUANG (JIANGSU) TECHNOLOGY CO LTD
Filing Date
2026-04-23
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Traditional numerical weather prediction systems suffer from response delays and misjudgments of non-meteorological noise in industry applications, making it difficult to meet the timeliness and operability requirements in business decision-making. In particular, in scenarios such as traffic control, logistics scheduling, or energy trading, existing machine learning-based forecasting systems lack the ability to identify the physical consistency of radar observations, resulting in poor generalization ability and affecting the credibility of decisions.

Method used

By constructing a radar data acquisition module, a physical knowledge construction module, a physical constraint extraction module, and a multi-source data assimilation module, hierarchical physical identification and suppression of ground clutter and super-refractive echoes are achieved. Combined with multi-source data, dynamic coordination fusion is performed to generate a highly reliable industry risk index.

Benefits of technology

It has improved the credibility and data reliability of meteorological decision-making, enhanced the quality control of meteorological information for supervisory purposes, solved the problem of model output violating atmospheric physical laws, improved the scientificity and accuracy of decision-making in high-reliability commercial scenarios, and ensured the continuity and comparability of meteorological risk assessment.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122085419B_ABST
    Figure CN122085419B_ABST
Patent Text Reader

Abstract

The application discloses a kind of assimilation weather radar data's prediction system, specifically related to weather forecasting field, including radar data acquisition module, physical knowledge construction module, physical constraint extraction module, multi-source data assimilation module and industry risk index generation module.A kind of assimilation weather radar data's prediction system is realized to the hierarchical physical discrimination and suppression of ground clutter and superrefraction echo by radar data acquisition module, improves the data reliability of meteorological decision basis in asset dispatching management scene;Through physical constraint extraction module, the multi-objective joint optimization of microphysical process constraint, thermodynamic equilibrium constraint and non-meteorological noise suppression is realized, the credibility of meteorological element deduction result in high-reliability commercial scene is significantly improved, so that the generated feature analysis field has the physical rationality of supporting key asset management decision, improves the scientificity of administrative decision basis and the accuracy of financial risk assessment.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Lake thermodynamic process simulation method and simulation system

    CN117875193A

  • Solar radiation space-time prediction method and system based on physical information constraint and neural network

    CN120951237A