Dual polarization radar based disaster weather identification and early-warning system and method

Abstract

The present application relates to a dual polarization radar based disaster weather identification and early-warning system and method. The dual polarization radar based disaster weather identification and early-warning system comprises: a hail automatic identification module, a middle cyclone automatic identification module, a squall line identification module and a disaster weather comprehensivedisplay early warning module. This application applies dual polarization radar data to establish different disaster weather identification models, studies the meteorological discrimination conditionsof severe convective weather of different disaster types, develops a strong convective weather automatic identification service system for different disaster types, realizes the monitoring and tracking of strong convective weather of different disaster types, and can form various meteorological service products timely according to the disaster weather identification results so as to meet the needs of the society for refined and intelligent meteorological services. The application can realize automatic identification of disaster weather such as thunderstorms, short-term strong winds, hail, tornadoes, has high accuracy, fast recognition efficiency and fast warning speed; and the early warning time for hail and other disaster weather is advanced by from 0 to 10 minutes.

Description

technical field [0001] The application belongs to the technical field of weather forecasting, and in particular relates to a disaster weather identification and early warning system and method based on dual polarization radar. Background technique [0002] Disastrous weather such as thunderstorms, strong winds, short-term strong winds, hail, and tornadoes has the characteristics of small spatial scale, short life history, strong suddenness, and large destructive power, resulting in more serious economic losses such as casualties and building damage in recent years. With the increase of population and economic growth and the development of the Internet, severe convective weather events are increasingly attracting public attention. In recent years, the Meteorological Department has perfected the construction of modern weather business systems such as comprehensive meteorological detection system and forecast and early warning system, improved the network of mesoscale meteorolo...

AI Technical Summary

Problems solved by technology

The demand for meteorological security services in various industries in society is becoming more and more refined and professional; the demand for forecasting and early warning of disastrous weather such as thunderstorms, strong winds, hail, and tornadoes is increasing. The existing single-polarization Radar Weather radar, the fine service capability of classified forecast and early warning of strong convective weather still cannot meet the requirements of the government and citizens, and it is difficult to effectively prevent or reduce losses caused by disasters

[0005] (3) The traditional disaster weather forecast relies on the forecaster to artificially judge the impact of the disaster weather based on color codes, images, moving speeds, etc. The timeliness is poor, and human subjective factors will make different judgments, thus affecting the authority of the forecast service sex and consistency

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