Fig. 1. Flow chart of cloud phase identification network based on clustering idea

Fig. 2. Variation of cloud echo signal detected by depolarization lidar

Fig. 3. Variation of particle depolarization ratio in cloud

Fig. 4. Phase identification (19:30)

Fig. 5. Variation of particle temperature in cloud

Fig. 6. Results of cloud phase identification based on temperature and depolarization ratio recognition (19:30). (a) Temperature;(b) depolarization ratio

Fig. 7. Cloud phase identification results using temperature and depolarization ratio as characteristic quantities (January 9 to 10, 2021)

Fig. 8. Joint observation results on June 8--9, 2021. (a) 532 nm echo signal of polarization lidar; (b) atmospheric temperature retrieved by microwave radiometer; (c) depolarization ratio of cloud particles; (d) echo reflectivity factor retrieved by millimeter wave radar

Fig. 9. Cloud phase identification results using temperature and depolarization ratio as characteristic quantities (June 8 to 9, 2021)

Fig. 10. Cloud phase recognition results by using temperature, echo reflectivity factor, and depolarization ratio as characteristic quantities (22:00). (a) Temperature; (b) echo reflectivity factor; (c) depolarization ratio

Fig. 11. Cloud phase identification results using depolarization ratio, temperature, and echo reflectivity factor as characteristic quantities