Representation of cloud microphysics is the key ingredient of cloud simulation. From early days of cloud modeling, numerical models have relied on Eulerian continuous medium approach for all cloud thermodynamic variables, not only for the temperature and water vapor, but also for cloud condensate and precipitation. However, recent studies identified significant problems with the Eulerian approach and suggested that a Lagrangian particle-based probabilistic approach provides a valuable alternative. This session will solicit contributions describing recent progress in applications of particle-based methods in representing cloud microphysical processes in small-scale and cloud-scale simulation, such as DNS and LES, and exploring their potential in simulation of more complex cloud systems such as deep convection and frontal clouds.