Untangling the Broadening of Adiabatic Cloud Droplet Spectra through Eddy Hopping in a High-Resolution Cumulus Congestus Simulation

Wojciech W. Grabowski, Kamal Kant Chandrakar, Hugh Morrison

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Turbulence has long been considered an important source of droplet spectral broadening in adiabatic volumes of warm convective clouds. The key idea is that, in a turbulent environment, droplets follow different trajectories, and this leads to wide droplet spectra for droplets arriving at a given location inside a cloud. This has been referred to as eddy hopping. Past theoretical studies and idealized turbulence simulations applying direct numerical simulation (DNS)-like approaches suggested that eddy hopping can potentially explain the difference between the observed droplet spectra and those predicted from adiabatic ascent in a nonturbulent volume. This paper considers droplet spectra in an adiabatic volume not far from the cloud base in an unprecedented high-resolution (7.5-m grid length) three-dimensional (3D) simulation of a warm turbulent cumulus congestus cloud applying Lagrangian particle–based microphysics. The spectral width approaches several tenths of 1 mminthe3Dsimulationversusonlyupto0.2mm in a reference nonturbulent adiabatic parcel. We apply an idealized one-dimensional stochastic cloud updraft model that either excludes or includes turbulent vertical velocity fluctuations to show how the fluctuations affect cloud condensation nuclei (CCN) activation and subsequent growth of cloud droplets. Droplet spectra are significantly wider when effects of turbulence are included. The more complete droplet growth equation that includes kinetic, surface tension, and solute effects above the cloud base significantly adds to the variability of cloud droplet growth in the turbulent flow and thus to the adiabatic spectral width at a given height within the simulated cloud.

Original languageEnglish
Pages (from-to)1585-1599
Number of pages15
JournalJournal of the Atmospheric Sciences
Volume82
Issue number8
DOIs
StatePublished - Aug 2025
Externally publishedYes

Keywords

  • Cloud microphysics
  • Condensation
  • Drop size distribution

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