activity
20072025
most citedOn the CCN [de]activation nonlinearities

27 citations · 27 across the 3 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2025

A Model Intercomparison Study of Mixed-Phase Clouds in a Laboratory Chamber

Aaron Wang, Sisi Chen, Steve Krueger +12

Mixed-phase clouds, composed of supercooled liquid droplets and ice crystals, play a critical role in weather and climate systems. Their complex microphysical interactions and coup…

physics.ao-ph2024

Nonlocally coupled moisture model for convective self-aggregation

Tomoro Yanase, Shin-ichiro Shima, Seiya Nishizawa +1

Clouds play a central role in climate physics by interacting with precipitation, radiation, and circulation. Despite being a fundamental issue in convective organization, the self-…

physics.ao-ph2016★ 27 cited

On the CCN [de]activation nonlinearities

Sylwester Arabas, Shin-ichiro Shima

We take into consideration the evolution of particle size in a monodisperse aerosol population during activation and deactivation of cloud condensation nuclei (CCN). The phase port…

physics.ao-ph2012

Super-Droplet Approach to Simulate Precipitating Trade-Wind Cumuli - Comparison of Model Results with RICO Aircraft Observations

Sylwester Arabas, Shin-ichiro Shima

In this study we present a series of LES simulations employing the Super-Droplet Method (SDM) for representing aerosol, cloud and rain microphysics. SDM is a particle-based and pro…

physics.ao-ph2007

Super-Droplet Method for the Numerical Simulation of Clouds and Precipitation: a Particle-Based Microphysics Model Coupled with Non-hydrostatic Model

Shin-ichiro Shima, Kanya Kusano, Akio Kawano +2

A novel, particle based, probabilistic approach for the simulation of cloud microphysics is proposed, which is named the Super-Droplet Method (SDM). This method enables accurate si…