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In this paper, three singlemoment microphysic schemes (Lin, WSM6, and Thompson) and three doublemoment microphysic schemes (Morrison 2mom, CAM51, and NSSL 2mom) are used to simulate 11 cases of cloud processes over Jiangsu Province based on the WRF model version 361 Using the cloud top height and temperature retrieved from satellite measurements to test the impact of different schemes on the two macro cloud parameters and select the best scheme by evaluating the performance of each scheme. Meanwhile, considering the uncertainty of individual schemes, the multischeme ensemble is used to reduce the systematic errors. Results show that all six schemes can roughly simulate the distribution of cloud bands, but there are still some differences in the range of cloud bands. The simulated cloud bands using CAM51 and NSSL 2mom scheme are larger than observations, while the others are smaller. The CAM51 forecasts of clouds are superior to those of the other schemes in terms of the anomaly correlation coefficients (ACC) and the rootmeansquare errors (RMSE). Although the NSSL scheme can reasonably simulate the location of the extreme center of cloud top height and temperature, it is still the worst scheme in terms of RMSE. The simulation performances of the Lin, WSM6 and Thompson schemes are almost the same，which perform better than that of the Morrison scheme. The multischeme ensemble mean and biasremoved ensemble mean reduce the RMSE of the cloud top height and temperature forecasts considerably. The biasremoved ensemble mean shows an improvement of forecast skill over the best single scheme forecast and the multischeme ensemble mean.