Hail early warning method based on hail cloud microphysical and thermodynamic characteristics

Abstract

The invention belongs to the technical field of meteorological data monitoring and management, and discloses a hail early warning method and device based on hail cloud microphysical and thermodynamic characteristics, and the method comprises the steps: collecting dual-polarization radar data and sounding data, and carrying out the quality control of the dual-polarization radar data; obtaining specific parameters of the ZDR column in the hail reduction monomer after quality control, wherein the specific parameters comprise the depth of the ZDR column, the width of the ZDR column and the area of the ZDR column; a fuzzy logic algorithm is adopted to identify key aqueous product particles in a monomer, the number of key aqueous product particle libraries above 0 DEG C and the proportion and growth rate of the key aqueous product particles in a ZDR column are obtained, the key aqueous product particles comprise supercooled water SWA and high density vaterite HDG, a hail reduction index and a hail reduction severity index are calculated, and corresponding early warning is issued. According to the invention, the hail reduction index and the hail reduction severity index are obtained through the thermal dynamic effect and the micro-physical effect in the monomer, and whether hail reduction is carried out or not and the hail reduction severity can be accurately judged.

Description

technical field [0001] The invention belongs to the technical field of meteorological data monitoring and management, in particular to a hail early warning method based on hail cloud microphysics and thermodynamic characteristics. Background technique [0002] At present, as a kind of strong convective weather, hail has the characteristics of strong locality, short duration, significant influence by terrain and seasonality. Hail weather is often accompanied by various extreme disastrous weather processes, such as strong winds, heavy precipitation and tornadoes, which bring great harm to agriculture, transportation, communication, etc., especially in agriculture, the season of hail is often in crops. At the stage of germination or vigorous growth, a few minutes of hailstorms at a time can lead to reduced crop yields throughout the year. As one of the countries most seriously affected by hail, my country's economic losses caused by hail can reach more than billions of dollars...

AI Technical Summary

Problems solved by technology

After patent and literature search, the currently published hail forecasting methods have single physical indicator features, and the prediction index only considers microphysical features or thermodynamic features, and does not combine the characteristics of the two to forecast hail, resulting in insufficient forecasting accuracy. Lack of predictive indicators for the severity of hail disasters

[0004] Through the above analysis, the existing problems and defects of the existing technology are: the physical indication characteristics of the hail forecasting method in the prior art are single, the prediction index only considers the microphysical characteristics or the thermodynamic characteristics, and the characteristics of the two are not combined to make a more accurate prediction of the hail. forecast, resulting in insufficient forecast accuracy and lack of forecast indicators for the severity of hail disasters

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