A rainfall prediction method, system and electronic equipment

Abstract

The invention belongs to the meteorological service technical field and relates to a rainfall prediction method, a rainfall prediction system and an electronic device. The method comprises the following steps that: a) radar maps of different heights in different time periods and meteorological information sequences in the corresponding time periods are extracted; b) a deep neural network-based rainfall prediction model is constructed; and c) the extracted radar maps and the meteorological information sequences are inputted the rainfall prediction model, time series analysis is performed on theinputted radar maps and meteorological information sequences through the rainfall prediction model, so that radar map space-time characteristics and meteorological information time-series features corresponding to the time periods are obtained, and rainfall prediction values corresponding to the time periods are outputted according to the radar map space-time characteristics and the meteorological information time-series features. According to the rainfall prediction method, the rainfall prediction system and the electronic device of the invention, long-term and short-term time series dependencies in the trend of the change of the radar maps over time are fully utilized; other meteorological information is incorporated; a variety of data sources are synthesized; and therefore, short-termfuture rainfall can be accurately predicted.

Description

technical field [0001] The present application relates to the technical field of meteorological services, in particular to a rainfall forecasting method, system and electronic equipment. Background technique [0002] Precipitation forecasting has always been a very important issue in the field of meteorological services. Accurate weather forecasting services can help people plan outdoor activities and even provide early warning of accidents such as flooding or traffic. Short-term precipitation prediction is an important and challenging task in real life. In order to predict short-term precipitation, it usually involves the analysis of the following information: the relationship between the current precipitation and the radar refraction index, the relationship between the target location and the surrounding area According to historical data, some patterns of precipitation evolution are found. [0003] Doppler radar detection of precipitation is a common method in meteorolog...

AI Technical Summary

Problems solved by technology

Although this method utilizes radar map information and convolutional neural network, it has limited spatio-temporal information mining. It only uses a single-height radar map without considering the relationship between clouds at different heights. Insufficient extraction, and when radar images of different timings are used as multi-channel input of convolutional neural network, the extraction of timing information is insufficient

And the final forecast is only whether there will be rain in the next 36 minutes, the forecast time is relatively short, and the forecast granularity is relatively coarse

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