Early warning method of hailstorm in complex terrain area

A technology for complex terrain and hailstorms, applied in the direction of reflection/re-radiation of radio waves, use of re-radiation, measurement devices, etc., to achieve the effect of improving the level of forecasting

Active Publication Date: 2019-11-22
CHENGDU UNIV OF INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most domestic HID schemes for X-band dual-linear polarization radar to identify precipitation particles in hailstorms directly refer

Method used

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  • Early warning method of hailstorm in complex terrain area
  • Early warning method of hailstorm in complex terrain area
  • Early warning method of hailstorm in complex terrain area

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Experimental program
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Embodiment 1

[0040] Such as figure 1 , Figure 5 As shown, a method for early warning of hailstorms in complex terrain areas, when the convective cloud is a single convective cloud, includes the following steps:

[0041] S1. Collect relevant data, including ground observation data, encrypted observation data of automatic weather stations, and X-band dual-polarization radar data. The data of X-band dual-polarization radar includes the basic reflectivity Z H , Differential propagation phase shift Z DR , Differential reflectivity K DP , correlation coefficient ρ HV ;

[0042] S2. Perform quality preprocessing on the above data, including unfolding, using radial continuity check to undifference phase folding; filtering, using comprehensive wavelet denoising method for filtering; reflectivity attenuation correction, using adaptive attenuation correction to reflectivity and the differential reflectivity for correction; calculate the differential phase shift rate, and use the filtered differ...

Embodiment 2

[0052] From 17:55 to 18:05 on May 8, 2018, hail occurred at the junction of Mazha Township and Heishitou Town, Weining County, Guizhou Province. Figure 6 , Figure 7 , Figure 8 It is the reflectance and particle identification profile in the direction of the strongest reflectance at 17:46, 17:52, 17:57, 18:03, 20:38, and 20:43 of the day. Every two moments correspond to the stages of development, maturity, and dissipation.

[0053] Such as Figure 6 As shown, at 17:52, the height of the single echo reaches 8km, the maximum value of the reflectivity center is greater than 55dBZ, and the highest SWA exists at a height of 3.5km. The thickness of LDG layer is 0.2km, and the thickness of HDG layer is 1.2km. The change rates of LDG, HDG, and SWA are -8 silo / min, 5 silo / min, and -12 silo / min, respectively. The 8 parameter data were substituted into the corresponding membership functions, and the results were weighted and summed. The calculated HPs=0.53, and the single convectiv...

Embodiment 3

[0058] Such as figure 2 , Figure 5 As shown, a method for early warning of hailstorms in complex terrain areas, when the convective cloud is a multi-unit convective cloud, includes the following steps:

[0059] S1. Collect relevant data, including ground observation data, encrypted observation data of automatic weather stations, and X-band dual-polarization radar data. The data of X-band dual-polarization radar includes the basic reflectivity Z H , Differential propagation phase shift Z DR , Differential reflectivity K DP , correlation coefficient ρ HV ;

[0060] S2. Perform quality preprocessing on the above data, including unfolding, using radial continuity check to undifference phase folding; filtering, using comprehensive wavelet denoising method for filtering; reflectivity attenuation correction, using adaptive attenuation correction to reflectivity and the differential reflectivity for correction; calculate the differential phase shift rate, and use the filtered d...

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Abstract

The invention discloses an early warning method of a hailstorm in a complex terrain area and relates to the field of early warning methods. The method includes the following steps of (S1) collecting relevant data, (S2) performing quality preprocessing on the above data, (S3) performing moisture variable particle analysis on preprocessed data by using a fuzzy logic particle recognition algorithm toobtain the number, distribution height, thickness, and change rate with time of key particles, and finally obtaining a hailstorm forecast index of the key particles, and (S4) issuing a correspondinghailstorm warning or canceling a hailstorm warning according to the hailstorm forecast index. The collected data is preprocessed by the data preprocessing, the moisture variable particle identification is carried out to obtain the distribution, number and change rate of the key particles, finally, the hailstorm forecast index is obtained, whether the hailstorm happens can be accurately judged according to a stage where the hailstorm forecast index is located, and the forecast level of hail weather in the complex terrain area is improved.

Description

technical field [0001] The invention relates to the field of early warning methods, in particular to an early warning method for hailstorms in complex terrain areas. Background technique [0002] Scholars at home and abroad have done a lot of research on the analysis of hail microphysical process by using weather radar. When dual-polarization radar detects precipitation, the detection amount is quite sensitive to the shape, size, direction, phase state and falling state of precipitation particles. Using different polarization values ​​of dual-polarization radar to establish a particle identification model can effectively detect precipitation particles. identify. [0003] The occlusion of ground objects near the radar, the broadening effect of the radar antenna lobe with the increase of the distance, environmental noise, signal attenuation and other reasons will cause errors in the data obtained by the radar. In order to reduce these errors, the precipitation particle phase ...

Claims

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Application Information

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IPC IPC(8): G01S13/95G01S7/41
CPCG01S13/95G01S7/415G01S7/412Y02A90/10
Inventor 周筠珺黄海迅
Owner CHENGDU UNIV OF INFORMATION TECH
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