Articles | Volume 20, issue 14
Atmos. Chem. Phys., 20, 9087–9100, 2020
https://doi.org/10.5194/acp-20-9087-2020
Atmos. Chem. Phys., 20, 9087–9100, 2020
https://doi.org/10.5194/acp-20-9087-2020

Research article 31 Jul 2020

Research article | 31 Jul 2020

Diffusional growth of cloud droplets in homogeneous isotropic turbulence: DNS, scaled-up DNS, and stochastic model

Lois Thomas et al.

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Cited articles

Abade, G. C., Grabowski, W. W., and Pawlowska, H.: Broadening of cloud droplet spectra through eddy hopping: Turbulent entraining parcel simulations, J. Atmos. Sci., 75, 3365–3379, 2018. a
Brenguier, J.-L. and Chaumat, L.: Droplet spectra broadening in cumulus clouds. Part I: Broadening in adiabatic cores, J. Atmos. Sci., 58, 628–641, 2001. a
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Grabowski, W. W.: Comparison of Eulerian bin and Lagrangian particle-based schemes in simulations of Pi Chamber dynamics and microphysics, J. Atmos. Sci., 77, 1151–1165, https://doi.org/10.1175/JAS-D-19-0216.1. 2020. a, b, c
Grabowski, W. W. and Abade, G. C.: Broadening of cloud droplet spectra through eddy hopping: Turbulent adiabatic parcel simulations, J. Atmos. Sci., 74, 1485–1493, 2017. a, b, c, d, e, f, g, h
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This work presents an extension of a classical small-scale modeling approach, direct numerical simulation (DNS), to large computational volumes, tens and hundreds of meters on the side. Diffusional growth of cloud droplets is more significantly affected by large scales of turbulent motions because vertical velocity perturbations associated with those scales result in larger and longer-lasting supersaturation perturbations that affect the spread of the droplet spectrum.
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