Polydisperse collision kernels in droplet-laden turbulence with implications for rain formation
L. A. Codispoti, Daniel W. Meyer, Patrick Jenny

TL;DR
This study uses direct numerical simulations to analyze how polydispersity affects droplet collision rates in turbulence, providing improved models for rain formation in clouds.
Contribution
It introduces a new model for bidisperse collision kernels and demonstrates the impact of turbulence intermittency on droplet growth.
Findings
Polydispersity enhances light droplet collisions via differential sampling.
Collision rates decrease at higher Stokes numbers due to reduced clustering.
Turbulent intermittency accelerates droplet growth, aiding rain formation.
Abstract
The collision kernel of droplets in warm clouds is a crucially important quantity for the parameterization of precipitation in weather and climate models. Nevertheless, its accurate representation remains a challenge, specifically in the bottleneck range within which turbulence is believed to substantially contribute to droplet growth. In this work, we address this problem by performing direct numerical simulations of polydisperse inertial particles suspended in three-dimensional turbulence at Reynolds number up to . Collision statistics are compiled for droplet pairs across the Stokes number range , yielding comprehensive bidisperse maps of collision kernels, radial relative velocities, and radial distribution functions at contact. Our analysis reveals that polydispersity enhances collisions between light droplets…
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Taxonomy
TopicsParticle Dynamics in Fluid Flows · Fluid Dynamics and Turbulent Flows · Meteorological Phenomena and Simulations
