Direct Lagrangian tracking simulation of droplet growth in vertically-developing turbulent cloud
Masaya Iwashima, Ryo Onishi

TL;DR
This study introduces a new explicit cloud microphysical model using DNS with Lagrangian particle tracking in a vertically-structured domain, revealing turbulence's role in droplet growth and early precipitation.
Contribution
The paper presents a novel DNS-based microphysical model with vertical domain extension, capturing turbulence effects on droplet growth and precipitation onset.
Findings
Turbulence enhances collision-coalescence growth of droplets.
Early updrafts promote autoconversion of similarly sized droplets.
Precipitation begins earlier and with larger drops in turbulent conditions.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
