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April 1, 2026Geophysical Research Letters2 citationsOpen Access

Evaluating the Collision‐Coalescence Process in Idealized Cloud Convection Using Large‐Eddy Simulations With Lagrangian Microphysics

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YRYangze RenKCKamal Kant ChandrakarFYFan Yang

Key Points

  • The study aims to evaluate the collision-coalescence process's impact on droplet size distribution during cloud convection.
  • Utilized large-eddy simulations to model a tall convection-cloud chamber.
  • Implemented Lagrangian microphysics to track droplet interactions.
  • Simulated under various environmental conditions to assess collision effects.
  • Found that smaller drizzle numbers correlated with greater impact of collisions on droplet size distribution tails.
  • Confirmed that collision rates can be estimated from interactions of droplets at the same size and mode radius.
  • Demonstrated utility of idealized theory for designing cloud chambers and modeling drizzle formation.

Abstract

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.

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Cite This Study

Ren et al. (2026) studied this question.

synapsesocial.com/papers/69cd7a2b5652765b073a724ahttps://doi.org/10.1029/2025gl118873
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