In this study,the applicability of geopotential height and wind velocity reanalysis data is evaluated, including 20CR,CFSR,NCEP1,NCEP2,ERA-Interim,ERA-20CM and JRA-55 reanalysis datasets,over the Tibetan Plateau by compared with radiosonde data. The analysis is focused on climatology,climate change and annual variation by means of various statistical analysis methods (root mean square error,correlation analysis, etc.). It is found that there are many clear differences among the reliabilities of reanalysis datasets,seasonal, regional and vertical. Geopotential heights of NCEP1 and ERA-Interim are comparatively closest to observation data in climatology. In contrast,the error of ERA-Interim and ERA-20CM data is large. In spring and summer, the reliability of reanalysis data of NCEP1 and NCEP2 wind velocity are higher than that of other reanalysis data, while during autumn and winter ERA-20CM wind velocity data is better. Based on the comparison in climate change trend,one can see that JRA-55,ERA-Interim and NCEP1 reanalysis data are able to objectively represent the geopotential height changing trend,with some temporal and spatial disparities. For annual variation,reanalysis datasets and radiosonde data almost get consistent description,except for ERA-20CM. Seasonally,reanalysis datasets show higher reliability in winter,followed by spring,with a poor reliability in summer.