Droplet growth in warm turbulent clouds

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Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization (2015, methodology): “Dramatic convergence of the values of the collision enhancement factor calculated using different approaches (direct numerical simulations, theoretical studies, and laboratory experiments) has been achieved [Ayala et al., 2008; Pinsky et al., 2008b; Devenish et al., 2012].”
Growth of Cloud Droplets in a Turbulent Environment (2013, methodology): “Most theoretical results concern the derivation of the power-law relationship g11(r) ∼ (η/r) f (St) for monodisperse nonsedimenting particles in the limit of small St and the dependence of the exponent f (St) on St (see Devenish et al. 2012, section 4.2.2.2).”
The effect of Reynolds number on inertial particle dynamics in isotropic turbulence. Part 2. Simulations with gravitational effects (2015, background): “It is well-known that droplet growth and precipitation in warm, cumulus clouds occurs faster than current microphysical models can predict, and the discrepancies are generally linked to turbulence effects (see Shaw 2003; Devenish et al. 2012; Grabowski & Wang 2013).”
The effect of Reynolds number on inertial particle dynamics in isotropic turbulence. Part 1. Simulations without gravitational effects (2015, background): “For reviews on this subject, see Shaw (2003), Devenish et al. (2012), Grabowski & Wang (2013); here we provide a brief overview.”