Method used for improving weather forecasting accuracy based on aerosol property and cloud formation mechanism

Abstract

The invention belongs to the technical field of weather forecasting, and discloses a method used for improving the weather forecasting accuracy based on an aerosol physicochemical property and a cloud formation mechanism. The method comprises the steps that aerosol physicochemical property analyzing, aerosol and cloud droplet vertical feature analyzing, CCN and warm cloud micro-physical structure analyzing of the Sichuan Basin are carried out; aerosol-CCN-cloud droplet parameterization relational expressions under different pollution backgrounds, different seasons and different weather backgrounds are provided; and the parameterization relationship between CCN and cloud droplet at different vertical heights is establishment. According to the invention, the influence mechanism of the aerosol on the warm cloud micro-physical process in the Sichuan Basin is disclosed, so as to improve the weather forecasting accuracy in the Sichuan Basin; the vertical change features of the aerosol-CCN-cloud parameterization relationship under the high concentration aerosol background of the Sichuan Basin are acquired; the parameterization result is applied to a mesoscale weather forecasting model; and the regional weather forecasting accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of weather forecasting, and in particular relates to a method for improving the accuracy of weather forecasting based on the physical and chemical characteristics of aerosol and the cloud formation mechanism. Background technique [0002] Weather forecasting is to use the law of atmospheric changes to predict the weather conditions of a certain place in a certain period of time in the future according to the current and recent weather conditions. It is based on the analysis of satellite cloud images and weather maps, combined with comprehensive research on meteorological data, terrain and seasonal characteristics, and mass experience. For example, the satellite cloud images of my country's Central Meteorological Observatory are captured by the "Fengyun-1" meteorological satellite manufactured in my country. Using satellite cloud images for analysis can improve the accuracy of weather forecasts. The weather...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: single platform, lack of coordinated multi-platform comprehensive observation, lack of research on aerosol physical and chemical properties and corresponding CCN activation ability, lack of comprehensive collaborative design in complex terrain; Research on the influence of aerosols on clouds and precipitation in various weather systems; lack of pertinence, no parameterization results of aerosol-CCN-clouds in the Sichuan Basin, these make the prediction of extreme severe weather in this area difficult and accurate poor

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