The properties of cloud ice, snow, and graupel remain difficult to estimate accurately. This study synergistically uses two airborne radars and millimeter-wave radiometer observations to estimate vertical distribution of ice mass, size, number density, fall speed, and vertical air motion. The proposed algorithm is proven to attain reasonable performance in comparison with in-situ measurements of cloud properties, demonstrating improved accuracy in deep cloud layers owing to multi-sensor synergy.