Meteorological radar echo map prediction method and device, computer equipment and storage medium

Abstract

The invention relates to a meteorological radar echo map prediction method and device, computer equipment and a storage medium. The meteorological radar echo map prediction method comprises the steps:acquiring historical meteorological radar echo maps of a target area at multiple continuous historical moments; acquiring continuous dynamic information according to the historical meteorological radar echo diagrams of the multiple continuous historical moments, and acquiring content information according to a target historical meteorological radar echo diagram; fusing the continuous dynamic information and the content information, inputting the fused information into a generation network, and obtaining a predicted meteorological radar echo map of the target area at a plurality of continuousprediction moments, wherein the generative network is obtained by training based on a gradient penalty training mode. By adopting the method, the prediction accuracy of the meteorological radar echo map can be improved, the accuracy of strong weather proximity prediction based on the meteorological radar echo map is improved, and the training speed and model stability of the generative network areimproved.

Description

technical field [0001] The invention relates to the technical field of weather radar, in particular to a weather radar echo pattern prediction method, device, computer equipment and storage medium. Background technique [0002] The meteorological radar echo is the electromagnetic wave received by the radar antenna that is emitted by the radar, scattered by the atmosphere and its suspended matter and returned. The image corresponding to the signal converted by these electromagnetic waves is called the weather radar echo map. By analyzing weather radar echo charts, the intensity, location and movement of typhoons, thunderstorms, rainstorms, hail, tornadoes and other disastrous weather can be found in time. [0003] In the traditional technology, the evolution and movement of thunderstorms are forecasted by the persistence forecast method or the cross-correlation method. In the persistent forecast method, it is assumed that the size and intensity of all meteorological radar e...

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Problems solved by technology

[0004] However, the above-mentioned persistence forecasting method and cross-correlation method both have low accuracy in identifying storm bodies, which reduces the accuracy of severe weather nowcasting

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