Based on the simulated radar reflectivity and radial velocity data assimilated by EnKF, through comparing the introduced Bayes inflation method with the advantage of space-time adaptive theory to constant inflation method, the assimilation effects of two covariance inflation methods on EnKF were analyzed. Results show that horizontal and vertical structures of analysis reflectivity by Bayes inflation experiment are stronger in northern convective branch. In convective region, the root mean square error is lower in Bayes inflation experiments while the spread is higher; Bayes inflation experiment has bigger horizontal and vertical wind while has weaker strength of the cold pool. Results of simulations indicate that the Bayes inflation experiment improves largely the condition of the convective system in the respect of magnitude and position. The horizontal and vertical wind speed is bigger. These evidences mean that Bayes inflation helps to improve the effects of EnKF radar data assimilation.