Abstract: Based on Weather Research and Forecast system mesoscale model(WRF V3.7.1 version) and the NCEP FNL reanalysis data,a case of convective cloud precipitation at Naqu over the Tibetan Plateau during August 26-27,2015 was simulated with two cumulus parameterization schemes(Grell-Devenyi and Grell-Freitas) and four cloud microphysical parameterization schemes(Lin,Milbrandt,SUB_YLIN,and Thompson),and the effects of different parameterization scheme combinations on the precipitation,atmospheric circulation field,radar reflectivity and cloud microphysical process are analyzed and compared. The results showed that WRF model has successfully simulates the spatial-temporal pattern and variation of this precipitation case with the performance varies with different parameterization scheme combinations and the parameterization scheme combinations of Grell-Devenyi + SUB_YLIN and Grell-Freitas + SUB_YLIN works best in the simulation of this case in general. Meanwhile,the results from simulation also reveal that the ice process dominated by snow particles played a critical role in the development of clouds and precipitation,while the warm cloud particles have small effect on precipitation. Furthermore,it can be seen from the form the temporal variation of cloud microphysical property that the best-performing SUB_YLIN scheme can reasonably simulate the conversion process between snow particles and ice crystal particles during precipitation can reasonably reproduce the conversion between snow particles and ice particles during precipitation process and the snow particles can not only release latent to promote the development of convective movement during the condensation process but also promote the precipitation through melting. In addition,the release of latent heat from the condensation of ice particles in the upper troposphere also creates favorable conditions for the development of deep convection.