4.6 Article

Large-eddy simulations of drizzling shallow cumuli using a turbulence-aware autoconversion parametrization

Journal

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
Volume 148, Issue 749, Pages 3885-3900

Publisher

WILEY
DOI: 10.1002/qj.4395

Keywords

autoconversion parametrization; cloud droplet number concentration; grid resolution; parametrization intercomparison; shallow cumulus cloud; turbulence-induced collision enhancement

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This study investigates the effects of Turbulence-induced Collision Enhancement (TICE) on shallow cumulus clouds, showing significant increases in autoconversion rate, rainwater path, and surface rain rate. Sensitivities of the simulations to cloud droplet number concentration and horizontal grid resolution are reduced by TICE, with substantial differences in TICE effects observed for different parametrizations.
Turbulence in clouds enhances collision between cloud droplets, which is critical to drizzle formation in shallow cumulus clouds. In this study, we develop an autoconversion parametrization that considers the turbulence-induced collision enhancement (TICE) obtained from a particle trajectory model. We implement the developed parametrization to a large-eddy simulation model and simulate the Rain In Cumulus over the Ocean (RICO) case to investigate the effects of TICE on shallow cumulus clouds and their sensitivities to the cloud droplet number concentration and horizontal grid resolution. TICE significantly increases the autoconversion rate, leading to large increases in the accretion rate, rainwater path and surface rain rate. The simulations of shallow cumulus clouds are highly sensitive to the cloud droplet number concentration and horizontal grid resolution, and the inclusion of TICE overall reduces the sensitivities. For example, the large rainwater path and surface rain rate that appear when cloud droplet number concentration is relatively low are reduced by TICE, whereas the very small rainwater path and surface rain rate that appear when cloud droplet number concentration is relatively high are increased by TICE. Comparisons with two other TICE-aware parametrizations based on direct numerical simulation results of droplet collisions in turbulence show that there are substantial differences in TICE effects for different parametrizations, which implies a large uncertainty in simulating turbulent clouds. Among the three parametrizations, the parametrization developed in this study shows intermediate TICE-induced increases in rainwater path and surface rain rate.

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