Thunderstorm strong wind storm body identification method and system based on ground observation

Abstract

The invention discloses a thunderstorm strong wind storm body identification method and system based on ground observation, and relates to the field of meteorology and computers. The method comprisesthe following steps: step 1, acquiring a radar puzzle, a thunderstorm strong wind storm body and related attribute information of the thunderstorm strong wind storm body output by a disastrous weathershort-time proximity forecasting and early warning service system, and acquiring ground wind speed observation information received by a ground automatic station; 2, preprocessing the radar puzzle, the related attribute information of the thunderstorm strong wind storm body and the ground wind speed observation information to obtain thunderstorm strong wind storm body data to be identified; and 3, performing fuzzy logic calculation processing on the thunderstorm strong wind storm body data to be identified to obtain a matching result of the thunderstorm strong wind storm body and strong windobserved on the ground in the ground wind speed observation information, and completing identification. The problem of reasonable matching of strong wind observed by a ground station and a storm bodyobserved by a Doppler radar can be solved.

Description

Technical field[0001]The present invention relates to the field of meteorology and computer, in particular to a method and system for identifying thunderstorms and storm bodies based on ground observation.Background technique[0002]Because there are few cases of thunderstorms and gales available for study, the mechanism of their occurrence and development is still not clear, which makes forecasting difficult. In recent years, the application of artificial intelligence to solve the identification and prediction of thunderstorms and gales has become the choice of more and more researchers. At present, the identification of thunderstorms and gales can be divided into the following ways: First, by comparing the storm body and the appearance The spatial distance and time deviation between the thunderstorms and gales are identified. The second is to rely on the weather forecasters to manually identify them based on the forecast experience. The former only considers the time and space devia...

AI Technical Summary

Problems solved by technology

The forecaster mainly judges whether the storm body is a thunderstorm and gale storm body based on attributes such as the intensity of the storm body. However, the basic observation of thunderstorm and gale—wind speed can only be obtained by ground wind speed stations

The problem of reasonably matching the strong wind observed by the ground station with the storm body observed by Doppler radar is not solved in the prior art

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