Weather forecasting method and system based on deep belief network

Abstract

The invention discloses a weather forecast method and system based on a deep belief network. The method comprises the following steps: obtaining a plurality of historical observation data according tosite information of a target area; constructing an enhanced decision tree to train the historical observation data to obtain first prediction data; inputting the first prediction data into a CFD calculation fluid dynamics model, performing steady-state numerical simulation to obtain second prediction data, and obtaining flow field distribution under an incoming flow condition according to the second prediction data; based on a Kriging interpolation method, interpolating the second prediction data at any position in a target area to extract a simulated wind speed value, and obtaining a training data set; and inputting the training sample of the training data set into a DBN deep neural network, training the DBN deep neural network, and performing meteorological prediction on to-be-observeddata by using the trained meteorological prediction model to generate a prediction result. According to the method and the system, the weather forecasting precision can be improved.

Description

technical field [0001] This application relates to the field of meteorological service information guarantee, in particular to a method and system for weather forecasting based on a deep belief network. Background technique [0002] The guarantee of weather forecast has a great impact on the safe and smooth holding of many activities carried out by users. The traditional meteorological information support is built on the meteorological data service platform of the mixed architecture of HPC and cloud platform. Through the development of information technology based on numerical forecasting, statistical learning, high-performance computing, etc., it focuses on multi-source data assimilation and short-impending forecasting in meteorological forecasting. To improve the speed and accuracy of meteorological forecasting, provide refined and professional meteorological services for different target groups, provide fine-grained smart weather services for places, and support the guara...

AI Technical Summary

Problems solved by technology

There is an error between this description and the actual subgrid process; therefore, there is a defect of low precision in forecasting weather

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