Dual-polarization weather radar data quality real-time evaluation method based on raindrop spectrum

Abstract

The invention discloses a raindrop spectrum-based dual-polarization weather radar data quality real-time evaluation method. The method comprises the following steps of S1, data acquisition; s2, data preprocessing: cleaning raindrop spectrum data, and marking grid points where polluted radar data are located for dual-polarization weather radar data by adopting a quality control algorithm; s3, data evaluation: inverting the raindrop diameter according to the raindrop spectrum data, and when the particle diameter inverted by the raindrop spectrum data is less than or equal to 1mm, performing real-time evaluation on the dual-polarization weather radar system error by adopting a micro raindrop method; and when the particle diameter of raindrop spectrum data inversion is greater than 1mm, inverting each polarization parameter, and performing deviation analysis on the polarization parameter corresponding to the radar by taking the polarization parameter as a true value, thereby realizing evaluation of the radar data quality. According to the method, the advantages of the micro raindrop method and the advantages of the raindrop spectrum inversion method are integrated, and the real-time evaluation of the differential reflectivity data quality error of the dual-polarization weather radar caused by the radar system deviation can be realized.

Description

technical field [0001] The invention relates to a method for evaluating the quality of weather radar data, in particular to a real-time evaluation method for dual-polarization weather radar data quality based on raindrop spectrum. Background technique [0002] Dual-polarization weather radar uses the electromagnetic waves of the horizontal and vertical channels to jointly detect, not only can obtain conventional weather radar observation information, including horizontal reflectivity factor (Zh), radial velocity (Vr) and velocity spectral width (W), but also The differential reflectance factor (Z DR ), differential phase shift rate (Kdp), correlation coefficient (CC) and other dual polarization parameters. Analysis and inversion of these dual polarization parameters can further identify the shape, size, spatial orientation, and distribution of precipitation particles, thereby improving the accuracy of products including hail cell identification and radar quantitative estima...

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Problems solved by technology

[0007] Purpose of the invention: The purpose of the present invention is to propose a method suitable for various types of radar data that cannot be used for real-time evaluation of radar data of various precipitation types and cannot be effectively found in a timely manner due to the long-term operation of the radar. Raindrop spectrum-based method for real-time assessment of dual-polarization weather radar data quality for type precipitation processes

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