For many years,the quality of radar wind measurement data has been the focus of many scholars.However,there have few studies performed on the assessment of radar wind measurement data,and the evaluation process is relatively simple,lacking more comprehensive and in-depth research and discussion.In addition,no quantitative evaluation criteria have been created through statistical parameters,and most of have not been quality controlled according to the evaluation results.In order to resolve the above issues,related research is currently being carried out.In this study,taking the FNL reanalysis fields of NCEP and GRAPES initial estimation fields in China as the references,the L-band radar wind measurement taken from the Beijing Sounding Station is evaluated from the multi-parameters,such as average deviations,standard deviations,probability density distributions,kurtosis coefficients,skewness coefficients,correlation coefficient and root mean square error.Then,according to the assessment results,the data of the radar wind are controlled,and the parameters are again solved,so as to further evaluate the quality control effect.The test results show that the L-band radar wind measurement is of high quality,while the average deviation is within ±1 m/s,and its consistency with the reference standard decreases with the decrease of the air pressure.The consistency of the east-west and north-south components of wind remains basically the same.The data consistency of the summer season is highest in the four seasons.The evaluation results based on FNL are shown to be superior to those of the GRAPES forecast field.All parameters based on FNL are closer to the optimal values relative to the parameters of GRAPES.Based on the evaluation results,after quality control the consistency of the wind measurement data is shown to be improved,and the original characteristics are retained.The quality control method can effectively eliminate seasonal differences,while the gap between the assessment results of the two background fields is also narrowed following quality control.