Evaluating the collision-coalescence process in idealized cloud convection using large-eddy simulations with Lagrangian microphysics

Yangze Ren, Kamal Kant Chandrakar, Fan Yang, Raymond A. Shaw

Research output: Contribution to journalArticlepeer-review

Abstract

Drizzle initiation through the collision and coalescence of cloud droplets plays a crucial role in warm cloud precipitation. Recent theoretical studies suggest that the influence of collisional growth on the droplet size distribution can be quantified by a non-dimensional drizzle number (Dz). Here, large-eddy simulations with Lagrangian microphysics are employed to evaluate the theory by simulating a tall convection-cloud chamber under various conditions. Results show that the smaller the Dz, the larger the impact of collisions on the right tail of the droplet size distribution, consistent with the theory. The simulations confirm that the collision rate can be estimated from the droplet size distribution interacting only with cloud droplets of the same size at the mode radius. This suggests that the idealized theory can be a useful tool to design a cloud chamber for drizzle investigation, as well as to represent drizzle formation in models of real atmospheric clouds.
Original languageAmerican English
JournalGeophysical Research Letters
StateSubmitted - Aug 2025

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