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A short-term approach recognition method for strong convective weather based on artificial intelligence algorithm

A technology of artificial intelligence and identification method, which is applied in weather forecasting, meteorology, climate sustainability, etc., can solve the problems of low accuracy rate of business forecast service and low early warning precision, and improve accuracy rate and early warning precision, and reduce computing resources. The effect of less occupation and faster speed

Active Publication Date: 2022-07-01
兰州中心气象台
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AI Technical Summary

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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  • A short-term approach recognition method for strong convective weather based on artificial intelligence algorithm
  • A short-term approach recognition method for strong convective weather based on artificial intelligence algorithm
  • A short-term approach recognition method for strong convective weather based on artificial intelligence algorithm

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Embodiment Construction

[0039] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0040] A short-term approach recognition method for strong convective weather based on artificial intelligence algorithm, combined with figure 1 and figure 2 shown, including the following steps:

[0041] S1. Acquire detection data. Detection data includes live site observation data and radar data.

[0042] S2. Perform data cleaning and quality control on the acquired various types of detection data.

[0043] The steps of step S2 are:

[0044] S21. Acquire echo product data and strong convection live observation data of three C-band radars in three different sections within a certain range. The echo product data and strong convection live observation data within a certain range are echo product data and strong convection live observation data within the range of 30-120km. In the present invention, the echo product data and the li...

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Abstract

The invention discloses a method for short-term approach recognition of strong convective weather based on artificial intelligence algorithm, which comprises the following steps: S1, acquiring detection data; S2, performing data cleaning and quality control on various types of acquired detection data; S3, analyzing the data Divide into training set and test set according to the proportion; S4, input the data into the LightGBM algorithm to establish the algorithm model; S5, repeat the model training, evaluation and algorithm parameter tuning optimization; S6, after the model is optimized, carry out business application. The invention can be used for short-term proximity recognition forecast of strong convective weather such as hail, short-term heavy precipitation, thunderstorm and strong wind, and the classification and recognition of strong convective weather is relatively accurate, suitable for meteorological business work, and can identify radar images relatively quickly and automatically. , early warning of strong convective weather, providing a more reliable reference for business workers, improving the accuracy of business forecasting services and early warning accuracy, and achieving accurate forecasting of strong convective weather in northwestern my country.

Description

technical field [0001] The invention relates to the technical field of weather forecasting and early warning, and more particularly to a method for short-term proximity identification of strong convective weather based on an artificial intelligence algorithm. Background technique [0002] Severe convective weather usually refers to the occurrence of deep wet convection (DMC), including hail, gale, tornado, heavy rainfall and other disastrous weather. It has the characteristics of short life history, small spatial scale, and strong catastrophicity. Although there is no unified standard for the definition of severe convective weather in the world, the severe convective weather defined by the Central Meteorological Observatory of 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 kinds of weather such as strong wind or short-term heavy precipitati...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01W1/10G01S13/95G01S7/41G06F30/27
CPCG01W1/10G01S13/958G01S7/418G06F30/27Y02A90/10
Inventor 刘新伟黄武斌蒋盈沙刘维成魏栋段伯隆刘娜郭润霞
Owner 兰州中心气象台