Preprints
https://doi.org/10.5194/egusphere-2026-2143
https://doi.org/10.5194/egusphere-2026-2143
23 Apr 2026
 | 23 Apr 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Direct Lagrangian tracking simulation of droplet growth in vertically-developing turbulent cloud

Masaya Iwashima and Ryo Onishi

Abstract. We developed a new explicit cloud microphysical model, based on direct numerical simulation (DNS) with Lagrangian particle tracking. The model employs a vertically-elongated quasi-1D computational domain extending from the ground to the cloud top to explicitly capture the vertical structure of clouds. This allows us to simulate the all warm-cloud microphysical processes, including activation, condensation growth, collision-coalescence growth, and sedimentation. A homogeneous isotropic turbulence field is incorporated into this domain to explicitly resolve the turbulent wind fluctuations. Cloud microphysics simulations with and without turbulent wind fluctuations were performed to clarify the impact of turbulence on droplet growth. We obtained new insights into the altitude- and time-dependent microphysical statistics, which cannot be obtained through conventional DNS researches for a cubic box domain with periodic boundaries. The comparisons have shown that turbulence promoted the collision-coalescence growth of droplets. During the early developing stage, where the updraft was present, turbulence promoted the collisions between droplets with similar sizes (autoconversions) in the middle layer of the cloud. In later stage, relatively large droplets produced by autoconversions actively collected smaller droplets (accretions) in the middle and lower layers. The onset of precipitation at the ground occurred earlier and the first raindrop at the ground was larger in turbulence case than that in non-turbulence case.

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Masaya Iwashima and Ryo Onishi

Status: open (until 04 Jun 2026)

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Masaya Iwashima and Ryo Onishi
Masaya Iwashima and Ryo Onishi
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Short summary
Rain forms as tiny water droplets grow through their collisions in clouds. The collisions are affected by turbulence, but its role remains unclear. We developed a numerical model that tracks individual droplets and includes turbulence. Simulations with and without turbulence show that turbulence accelerates droplet growth through the promotion of collisions and advances the precipitation onset. These findings improve our understanding of the cloud development and rain.
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