Sudden severe convection disaster weather adaptive rapid identification early warning improved algorithm

A technology with improved algorithms and strong convection, applied in ICT adaptation, complex mathematical operations, climate sustainability, etc., can solve problems such as efficiency deviation, error, and insufficient consideration, and achieve the effect of accurate estimation and solving large errors

Pending Publication Date: 2022-01-07
王磊 +2
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Problems solved by technology

[0003] The TITAN system used in the existing technology is a storm identification, tracking, analysis and forecasting system developed by the Atmospheric Research Center based on the radar observation system, and has been widely used in many regions. However, the TITAN system has efficiency deviations in identifying strong storms. Moreover, the differences in three-dimensional structural characteristics of severe convective disastrous weather under different climates, seasons and complex terrain conditions are not fully considered. Only the albedo factor and its derivatives and a relatively simple threshold determination method are used to identify and warn disastrous weather, making There are large errors in this type of method. Therefore, we propose an improved algorithm for adaptive rapid identification and early warning of sudden strong convective disaster weather

Method used

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  • Sudden severe convection disaster weather adaptive rapid identification early warning improved algorithm
  • Sudden severe convection disaster weather adaptive rapid identification early warning improved algorithm
  • Sudden severe convection disaster weather adaptive rapid identification early warning improved algorithm

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Embodiment 1

[0041] The technique of the present invention directly uses two-line polarized radar observation data, compared to the single-polarized radar data used in the conventional algorithm, there is a difference in radar data quality control method; mainly including the inhibition of articoms, electromagnetic wave interference suppression, clear air turbulence Inhibition, lack of data filling, differential propagation phase noise control, and reflectivity factor and differential reflectance attenuation correction;

[0042] like figure 1 As shown, sudden high-end disaster weather adaptive rapid identification warning improvement algorithm includes the following steps:

[0043] S1, radar data quality control, the radar data quality control uses two-line polarized radar data quality control, the double-line polarization radar data quality control includes chemical clutter suppression, electromagnetic wave interference inhibition, clear air turbulence suppression, lack of data filling , Diff...

Embodiment 2

[0080] Based on the three-dimensional strong storm monomer identification, the lightning disaster weather warning algorithm has made a wide range of business applications in many fields, and the present invention also makes further optimization and improvement based on the algorithm, and the basic technical solution steps of the improved algorithm are as follows:

[0081] (1) The storm two-dimensional surface recognition under extreme coordinate system

[0082] like Figure 10 , The reflective factor is larger than the adjacent region of a given threshold is found in different elevated layers; the adjacent sequences of the reflectivity factor are greater than the given threshold in the designated aperture layer. , Synthesize a two-dimensional storm surface in the one-dimensional storm segment in the two directions of identified. figure 1 Including 15 such regions; deleting a two-dimensional storm surface that is less than a given threshold, resulting in the ultimate actual strong c...

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Abstract

The invention discloses a sudden severe convection disaster weather adaptive rapid identification early warning improved algorithm. The algorithm comprises the following steps: S1, carrying out radar data quality control; S2, carrying out data interpolation and storm monomer identification; S3, performing calculation to obtain strong storm disastrous weather radar characteristic physical quantities; S4, establishing a severe convective disastrous weather Logistic probability early warning model; and S5, issuing early warning information. Compared with a traditional single-polarization Doppler weather radar, polarization parameters of electromagnetic scattering waves of the double-line polarization Doppler weather radar contain richer rainfall process change information, traditional physical quantities such as reflectivity factors, radial speed and spectral width, and also polarization physical quantities such as differential reflectivity, differential propagation phase, differential propagation phase shift rate, correlation coefficient, depolarization ratio and the like; and the size, phase state and number concentration distribution of the hydrogel in a three-dimensional space can be estimated more accurately, so that severe convection disastrous weather such as hail, tornado and thunder and lightning can be identified and early warned more accurately.

Description

Technical field [0001] The present invention belongs to the field of sudden strength to the flow disaster weather, and more particularly, in particular, in particular, a sudden high-end disaster weather adaptive rapid identification warning improvement algorithm. Background technique [0002] Strong convective disaster weather has a small spatial scale, short life history, strong urinary development, and high destructive power, Doppler weather radar has a real-time detection warning in real-time detection and fast scanning mechanism in Doppler weather radar. Scale disaster weather is the most unique and effective means. [0003] The Titan system used by the prior art is a storm identification, tracking, analysis, and forecasting system based on radar observation system based on radar observation system. It has been widely used in many areas. However, the Titan system has efficient deviation when identifying strong storm monomers. There is no more consideration of the difference i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/95G01S7/41G06F17/18
CPCG01S13/958G01S7/418G06F17/18Y02A90/10
Inventor 王磊刘平刘宽宗
Owner 王磊
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