Clouds are related to life closely, and research on cloud parameters is important, including the accurate identification of cloud phases. Because the traditional single-sensor-based cloud phase identification algorithm has certain limitations, a new method for cloud phase detection combined with CloudSat-CALIPSO-MODIS multi-sensor is proposed, which improves the accuracy of cloud phase recognition. Using the comprehensive observation data of CloudSat, CALIPSO and MODIS on May 2, 2008 and February 1, 2010, six cloud phases were obtained, including uncertain cloud, hybrid cloud, water cloud, supercooled water cloud, ice cloud and clear skies. The results show that using the synergistic algorithm, the cloud phase can be distinguished more accurately, which provides conditions for numerical weather prediction and has important scientific significance.