Method and system for predicating thundercloud cover area based on lightning locating system

Abstract

The invention provides a method for predicating the thundercloud cover area based on a lightning locating system. The method comprises the following steps that a clustering anslysis database is established; lightning data within the same time period are obtained, and the distance between the peripheral lightning of each lightning point and the lightning point is worked out according to each lightning point; a lightning data spatial position relation table is established according to the lightning points and the distances; the density relationship between any two lightning points is worked out; clustering is conducted on the lightning data according to the density relationship, so that a thunder storm cloud cluster is generated, the position feature point of the thunder storm cloud cluster is obtained; if the position feature point moves, the movement trail of the position feature point is obtained; according to the movement trail, the movement speed and the movement direction are obtained; the position of a thunder storm cloud cluster of a next time period is predicated according to the movement speed and the movement direction; the thundercloud cover area of the next time period is predicated according to the position. By the adoption of the method for predicating the thundercloud cover area based on the lightning locating system, errors can be reduced, and the prediction precision is high. The invention further provides a system for predicating the thundercloud cover area based on the lightning locating system.

Description

technical field

[0001] The invention relates to the technical field of lightning prediction and early warning, in particular to a method and system for predicting thundercloud coverage area based on a lightning positioning system. Background technique

[0002] At present, a large number of in-depth researches on lightning prediction have been carried out in the field of meteorology, and fruitful results have been obtained. Researchers mainly use methods such as extrapolation, pattern recognition, and cross-correlation algorithms to identify, track, and predict thunderstorm clouds based on real-time data collected by Doppler weather radar. However, for special industries such as electric power companies, they are more concerned about the probability of lightning strikes on the ground in a specific area, and there are few research results on the location of thunderclouds and the probability of ground lightning strikes under their coverage area. Therefore, although the technol...

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