Response to Reviewer # 1 ’ s

Based on the 8 years' (January/2008-December/2015) cloud phase information 40 from the GCM-Oriented Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Cloud Product (GOCCP), aerosol products from CALIPSO, and meteorological parameters from the ERA-Interim products, the present study investigates the effects of atmospheric dynamics on the supercooled liquid cloud fraction (SCF) under different aerosol loadings at global scale to better understand the 45 conditions of supercooled liquid water gradually transforming to ice phase. Statistical results indicate that aerosols’ effect on nucleation cannot fully explain all SCF changes, especially in those regions where aerosols’ effect on nucleation is not a first-order influence (e.g., due to low ice nuclei aerosol frequency). By performing the temporal and spatial correlations between SCFs and different meteorological factors, 50 this study presents specificly the relationship between SCF and different meteorological parameters on global scale relatively to the previous studies which mainly focused on special regions. We find that the SCF variation is closely related to the meteorological parameters but their relationship is not stable and varies with the different regions, seasons and isotherm levels. In the tropics, obviously positive 55 correlations between SCFs versus vertical velocity and relative humidity indicate that the higher vertical velocity and relative humidity the larger SCFs. However, the patterns of temporal correlation for LTSS, skin temperature and horizontal wind are relatively more complex than those of vertical velocity and humidity. E.g., their close correlations predominantly locate in middle and high latitudes, and vary with latitude 60 or surface type. Although these statistical correlations haven't been used to establish a certain causal relationship, our results may provide a unique point of view on the phase change of mixed-phase cloud and have potential implications for further improving the parameterization of the cloud phase and determining the climate feedbacks. 65