The ensemble members of WRFDA/Hybrid assimilation system come from ETKF(Ensemble Transform Kalman Filter) ensemble forecast system.Sensitivity analysis shows that the ETKF scheme often crashes in cycle assimilation because of oscillation of the covariance inflation factors, which is caused by large variation of observation in cycle assimilation.In order to design a simple and stable hybrid data assimilation system, a new hybrid assimilation method, with physical control variable perturbation and multi-physical parameterization(RCV-Hybrid), was proposed.In RCV-Hybrid, the initial state of ensemble forecast come from hybrid analysis perturbed by physical control variables.Meanwhile, different microphysics and cumulus parameterization schemes were used in ensemble forecast to represent model error.Results of 10 days cycle assimilation and forecast show that the RCV-Hybrid method performs better than 3DVar and is similar to ETKF.In addition, the RCV-Hybrid method can be easily operated without perturbing observation.Thus, it is a new option for hybrid data assimilation.