Severe convection weather short-time proximity recognition method based on artificial intelligence algorithm

Abstract

The invention discloses a severe convection weather short-time proximity recognition method based on an artificial intelligence algorithm. The method comprises the following steps: S1, acquiring detection data; S2, performing data cleaning and quality control on the acquired various detection data; S3, dividing the data into a training set and a test set in proportion; S4, inputting the data intoa LightGBM algorithm, and establishing an algorithm model; S5, repeatedly carrying out model training, evaluation and algorithm parameter adjustment optimization; and S6, after the model is optimized,performing service application. The method can be used for short-time proximity identification and forecasting of severe convection weather such as hail, short-time heavy rainfall, thunderstorm and strong wind. Classification and identification of severe convection weather are relatively accurate; the method is suitable for meteorological business work, can quickly and automatically identify radar images and early warn severe convection weather in advance, provides reliable reference for business workers, improves the accuracy of business forecasting service and the early warning precision, and realizes accurate prediction of severe convection weather in northwest regions of China.

Description

technical field [0001] The invention relates to the technical field of meteorological forecast and early warning, and more specifically relates to a short-term approaching recognition method for strong convective weather based on an artificial intelligence algorithm. Background technique [0002] Severe convective weather usually refers to the generation of deep wet convection (DMC), including various disastrous weather such as hail, strong wind, tornado, and heavy precipitation. It has the characteristics of short life history, small spatial scale, and strong hazard. Although there is no unified standard for the definition of severe convective weather internationally, the severe convective weather defined by the Central Meteorological Observatory of the China Meteorological Administration refers to the occurrence of hail with a diameter of 5mm and above, tornadoes of any level, and thunderstorms of 17m / s and above Any one or several types of weather such as strong wind or s...

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Problems solved by technology

[0004] The technical problem to be solved in the present invention is to provide a short-term approaching recognition method for strong convective weather based on artificial intelligence algorithm, so as to solve the problem that current nowcasting and early warning technologies for strong convective weather are mainly concentrated on traditional methods, which leads to the failure of business forecast services. The accuracy rate and early warning precision are relatively low, and due to the complex terrain in Northwest my country, it is impossible to maturely apply the research results of S-band radar in meteorological work, so as to improve the accuracy rate and early warning precision of operational forecast services, so as to realize the Accurate Forecast of Severe Convective Weather in Northwest my country

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