Homogeneous and Inhomogeneous Mixing in Cumulus Clouds: Dependence on Local Turbulence Structure

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Droplet growth in warm turbulent clouds (2012, background): “Indeed, Lehmann et al. (2009) show that even when τs and τe are comparable, the numerical solution of (2) and (3) (with no assumption of constant a or constant s) can yield a time-scale for droplet evaporation (or for s to reach equilibrium) that is substantially different from either τs or τe.”
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “…through evaporation during entrainment and turbulent mixing with dry air can lead to reductions of either droplet number or size, or both, depending on time scales of mixing and droplet evaporation (inhomogeneous vs. homogeneous mixing) (e.g., Baker et al., 1980; Lehmann et al., 2009).”
On the effect of dust particles on global cloud condensation nuclei and cloud droplet number (2011, result): “The highest CDNC are predicted over Koblenz, Germany (804– 956 cm−3) and are in good agreement with observations (675–965 cm−3 [Lehmann et al., 2009]).”
Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization (2015, background): “The role of turbulent mixing and its effects remains poorly understood, despite a great deal of research effort [Paluch, 1979; Siebert et al., 2006; Burnet and Brenguier, 2007; Andrejczuk et al., 2009; Lehmann et al., 2009; Jarecka et al., 2013; Magaritz-Ronen et al., 2014; Korolev et al., 2013b].”