Weather prediction model generation method and device and weather prediction method and device

Abstract

The invention relates to a weather prediction model generation method and device, a computer device and a storage medium, and a weather prediction method and device, a computer device and a storage medium. The weather prediction model generation method comprises the steps of obtaining historical meteorological data of a plurality of position points corresponding to historical time points, the plurality of position points comprising observation position points; performing spatial gridding processing on the historical meteorological data of the plurality of position points to generate meteorological sample data corresponding to historical time points; obtaining weather phenomenon label data of observation position points corresponding to the historical time points; and training an initial weather prediction model through the meteorological sample data and the weather phenomenon label data corresponding to the historical time points to obtain a weather prediction model for predicting whether a weather phenomenon occurs or not. According to the method, the weather prediction model is trained by adopting the historical meteorological data, and the relationship between the meteorologicaldata and the weather phenomenon can be effectively obtained, so that the weather phenomenon can be automatically predicted according to the meteorological data.

Description

technical field [0001] The present application relates to the technical field of weather forecasting, in particular to a method, device, computer equipment and storage medium for generating a weather forecast model, and a weather forecasting method, device, computer equipment and storage medium. Background technique [0002] Weather forecasting is the use of modern science and technology to predict the state of the Earth's atmosphere at a certain location in the future. Meteorological departments can comprehensively analyze and predict future weather phenomena through the collection of a large amount of meteorological data. After decades of computer technology, atmospheric detection technology and the development of atmospheric science and related disciplines, it has been able to provide weather forecasts with high reliability, and the forecast of specific meteorological elements (such as temperature, pressure, humidity, etc.) Higher precision has been achieved. [0003] H...

AI Technical Summary

Problems solved by technology

[0003] However, for some weather phenomena that cannot be accurately expressed by objective physical quantities, or that occur in a small scale and have little impact on mesoscale weather (for example, for weather phenomena that occur in important areas such as airports, such as fog, haze, Thunderstorms, sandstorms, etc.), still cannot be accurately described and predicted using methods in traditional technologies

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