Numerical weather prediction method based on mixed ambient field

Abstract

The invention provides a numerical weather prediction method based on a mixed ambient field. According to the method, a mixed data ambient field of numerical weather prediction is generated based on the existing data of the relevant weather data and forecast data; initial parameters required in establishing a WRF mode are set to complete initial establishment of the WRF mode; effective meteorological data on feature level grid of the WRF mode is obtained; in the WRF mode, conclusion parameters of the numerical weather prediction is obtained by calculation according to the effective meteorological data; the conclusion parameters are extracted and processed to obtain conclusion data diagram of the numerical weather prediction. The present invention provides the mixed data using the reanalyzed data and the predicted background field as the background data for driving the meso-scale numerical weather prediction for numerical weather prediction; as the reanalyzed data itself assimilates a large number of observation data and the accuracy is high, which can significantly improve the accuracy of numerical weather prediction and save a lot of computing resources.

Description

technical field [0001] The invention relates to the meteorological field, in particular to a numerical weather forecasting method based on a mixed background field. Background technique [0002] Numerical weather prediction (numerical weather prediction) refers to solving the equations of fluid dynamics and thermodynamics describing the weather evolution process through large-scale computer numerical calculations under certain initial and boundary value conditions based on the actual conditions of the atmosphere, and predicting certain weather conditions in the future. The method of atmospheric motion state and weather phenomenon in time period. Since 1950, Charney, R. Feyotoft and J. von Neumann used the quasi- geostrophic barotropic model to successfully make a 24-hour forecast of the pressure field at a height of 500 hPa in North America for the first time. Numerical weather prediction has gradually become an important means of weather forecasting. [0003] Numerical we...

AI Technical Summary

Problems solved by technology

However, the process of data assimilation is very complicated, not only requires a large amount of high-quality observation data, setting a large number of complex parameters, but also consumes a large amount of computer resources and I / O resources

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