Abstract: Accurate prediction of heavy particle dispersion in turbulent flows requires a simultaneous consideration of particle's inertia and particle's drift velocity. A mathematically simple and physically comprehensive analysis ...

Abstract: Two formulations of an improved superposition method are proposed for studying droplet?droplet hydrodynamic interactions. The formulations make explicit use of the boundary conditions on the surface of the two interacting ...

Abstract: An open question in cloud physics is how rain forms in warm cumulus as rapidly as it is sometimes observed. In particular, the growth of cloud droplets across the size gap from 10 to 50 ?m in radius has not been fully ...

Abstract: It is with profound sadness that we report the death of a much loved and greatly respected colleague and friend—Professor David E. Stock, Washington State University.In a career spanning nearly 40 years “Dave” performed ...

Abstract: A methodology for conducting direct numerical simulations (DNSs) of hydrodynamically interacting droplets in the context of cloud microphysics has been developed and used to validate a new kinematic formulation capable of ...

Abstract: Prediction of the effect of air turbulence on statistics relevant to a collision?coalescence process represents a key challenge in the modeling of cloud microphysics. In this paper, collision-related statistics for ...

Abstract: Two case studies of marine stratocumulus (one nocturnal and drizzling, the other daytime and nonprecipitating) are simulated by the UCLA large-eddy simulation model with bin microphysics for comparison with aircraft in ...