A similar distance forecast algorithm system based on a catastrophic weather conceptual model

By integrating a similarity-degree-of-separation forecasting algorithm system based on a conceptual model of severe weather, the problem of fragmented severe weather forecasting tools has been solved, enabling intelligent and efficient severe weather forecasting and improving forecasters' early warning capabilities.

CN122364294APending Publication Date: 2026-07-10JINAN METEOROLOGICAL BUREAU
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JINAN METEOROLOGICAL BUREAU
Filing Date
2026-03-26
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

In existing technologies, severe weather forecasting tools and data are scattered across different platforms and lack effective integration, resulting in low forecasting efficiency and difficulty in conducting systematic and intuitive in-depth research. In particular, there is a lack of automated similarity matching and retrieval tools in forecasts based on historical similar cases.

Method used

This paper presents a similarity prediction algorithm system based on a conceptual model of severe weather. It integrates historical data statistics, conceptual model visualization, physical quantity diagnosis, and intelligent similarity prediction functions. Built through a browser/server architecture, it integrates subsystems for severe weather classification statistics, conceptual model, physical quantity diagnosis, and similarity prediction. It uses GIS maps and multi-layer situation field overlay maps to intuitively display data and analysis results, and realizes automatic and quantitative similar weather process search.

Benefits of technology

It has enabled intelligent and objective forecasting of severe weather, improved forecasting efficiency, and provided a complete set of tools from summarizing historical patterns to producing future forecasts, assisting forecasters in improving their ability to forecast and warn of severe weather such as rainstorms, snowstorms, and high temperatures.

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Abstract

This invention provides a similarity deviation forecasting algorithm system based on a conceptual model of severe weather. The system includes a system homepage, a severe weather classification and statistics subsystem, a severe weather conceptual model subsystem, a severe weather physical quantity index subsystem, and a severe weather similarity forecasting subsystem. The system is built on a browser / server architecture. This invention provides a comprehensive operational system that integrates historical data statistics, conceptual model visualization, physical quantity diagnosis, and intelligent similarity forecasting functions, assisting forecasters in quickly understanding weather processes, summarizing forecast indicators, and producing more accurate forecasts.
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