Recognition Method of Dynamic Field Structure of Severe Convective System Based on Doppler Weather Radar

Abstract

The invention discloses a Doppler weather radar-based method for identifying the dynamic field structure of a strong convective system. The method includes the following steps: firstly, the Doppler radar base data is converted into a coordinate system, and first in the new coordinate system A Determine the detection range of the airflow field through the reflectivity map and map it to the radial velocity map, and then interpolate to obtain the radial velocity map of 70 layers of contour, extract the common boundary points of the positive velocity area and the negative velocity area; then, design two detection After the template is transformed into the coordinate system A, traverse all common boundary points to calculate the airflow field structure eigenvector; compare the airflow field structure eigenvectors calculated by the two templates at each common boundary point to determine the convection intensity and the airflow field structure type; Finally, all the convective intensity and airflow field structure type information are integrated into one map through projection. The method realizes the automatic identification of the dynamic field structure of the strong convective system, and promotes the refined and scientific identification and prediction of convective weather disasters.

Description

technical field [0001] The invention relates to the field of meteorology, in particular to a method for identifying the dynamic field structure of a strong convective system based on Doppler weather radar. Background technique [0002] The velocity characteristics of the γ-mesoscale system are defined according to the azimuth relationship between the maximum inflow and outflow velocity centers within the small area (2-20km, and approximately considered to be at the same height) within the effective range of radar detection [1] . In the convective system, there are updrafts and downdrafts at the same time, and the two converge, rotate, and disperse, forming a complex and changeable airflow field. By analyzing the characteristics of the velocity components along the radar radial direction, structural features such as airflow convergence, airflow divergence, and airflow rotation in a local area can be determined. [0003] In a small area, when the maximum inflow and outflow v...

AI Technical Summary

Problems solved by technology

Most of the current research work is qualitative analysis of the convergence and divergence fields of the atmosphere, and effective automatic identification has not yet been realized

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