One-dimensional numerical models with a detailed description of the evolution of cloud particles (drops, crystals, cloud nuclei, snowflakes, etc.) are used to study the microphysical processes in supercooled winter frontal clouds. A set of equations is used to simulate the evolution of the processes of condensation, nucleation, freezing, sedimentation, accretion, collection, aggregation, etc. The radius–spectrum of liquid drops is divided into two parts: the diameter either smaller or greater than 20 μm. The spectrum of cloud droplets is formed from the condensation, turbulent diffusion and motion of drops. The size distribution function of the ice particles is assumed to form due to sublimation, turbulent diffusion, motion, riming, accretion and aggregation. Simulations of mixed supercooled clouds are examined to see what extent the different microphysical processes (such as collection, aggregation, freezing, accretion, riming, etc.) and thermodynamical conditions (such as surface temperature and updrafts) can impact on the development of cloud and precipitation. They have shown that the liquid, as well as solid, precipitation from supercooled mixed clouds may be significant, especially at surface temperatures greater than 0°C. The influence of updraft values on liquid precipitation is significant, while the surface temperature affects liquid phase precipitation slightly. The opposite holds for solid precipitation; the temperature is a principal factor, while the updrafts affect solid precipitation only at temperatures above 0°C. A study of the different mechanisms of cloud and precipitation formation shows that all such mechanisms are important. If one is absent, others compensate and can form the precipitation successfully. The obtained spectra of cloud droplets and ice crystals conform to a γ-distribution and spectra of the raindrops correspond to the power distribution. Inclusion of new mechanisms of CCN originating within the cloud changes the droplets spectrum noticeably. Numerical experiments confirm that spectra of aggregates conform to an exponential law and indices of the distributions decrease with an increase of precipitation formation intensity and size of particles.