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Dual-channel consistency analysis of dual-polarized weather radar based on light rain algorithm

General approaches to dual-channel consistency calibration of dual-polarized radar contain Solar Calibration Method, Traditional Offline Light Rain Method, Metal Ball Method. A couple of new calibration algorithms are coined in this paper, which are Online Light Rain Algorithm and Metal Cover Shielding Feed Source. The algorithms have been used to assess the dual-channel consistency of the new generation dual-polarized weather radar in Guangdong province. The key point of the Online Light Rain Algorithm is to extract the effective data of light rain in precipitation. Then throughout the localization study of Correlation Coefficient(CC), the Reflectivity Factor(Z), the Signal to Noise Ratio(SNR) and so forth, rational parameters are acquired. Different Reflectivity Factor(ZDR) of valid light rain is fitted by the way Least Square Method, which generates a Gaussian Distribution pattern of the frequency of ZDR. In the model, the peak point represents the measured zero point of ZDR.The measured Systematic Deviation and the Standard Deviation(SD) of ZDR emerge from the comparison between theoretical figures and statistics of long-term temporal data. After the assessment and correction of consistency in dual-channel, the measured ZDR becomes much more precise and credible.