This article uses the T-Matrix method and raindrop spectrometer data to invert the dual-polarization parameters, and the inversion result is used to evaluate the dual-polarization weather radar data, which is the raindrop spectrum inversion evaluation method. Then this method is used to evaluate the data quality of polarization parameter in different types of precipitation. The results show that under the conditions of micro-raindrop, the raindrop spectrum inversion evaluation method can effectively monitor the systematic deviation of the polarization parameters caused by the radar systematic error as the same as micro-raindrop method, and the evaluation results of the two methods are basically consistent.When the micro-raindrop condition is not satisfied, the radar polarization parameter quality of different types of precipitation processes evaluated by the raindrop spectrum inversion evaluation method is basically consistent with the evaluation results under the conditions of micro-raindrop, reflecting the objective fact that the radar operates well and the data quality is stable. The raindrop spectrum inversion evaluation method has consistency in evaluating radar polarization parameters under different rainfall intensities. When the rainfall intensity of precipitation process is ≥10 mm·h-1 and ＜20 mm·h-1, the data quality of the dual-polarization radar is the most stable.The raindrop spectrum inversion evaluation method has a wide range of applications and can be used for real-time monitoring of dual-polarization radar data quality. The evaluation results can provide timely reference for radar calibration and data correction.