The horizontal wind observations from seven boundary layer profilers in Shanghai are evaluated by using the analysis data from the NCEP Global Data Assimilation System (GDAS) in June 2014. Since the denselyobserved rawinsonde data in Shanghai has not been assimilated by GDAS, these data are used to evaluate the accuracy and representativeness of NCEP’s analysis data. The results show that both bias and RMSE between rawinsonde observations and NCEP data are small, which indicates that NCEP’s analysis data are accurate enough to evaluate the quality of profiler data in Shanghai. Then the profiler observations are further compared with NCEP’s analysis data. The bias and RMSE are respectively -0.14 m·s-1 and 2.72 m·s-1 for wind speed, and -4.28° is for wind direction over all heights for the whole month. The comparison shows that data quality of wind profiler in Shanghai is close to that of rawinsonde. The wind profiler observation data in the network are reliable and can be used in operation or research.