Grabowski, Wojciech w. Kim, Yongjoon Yum, Seong soo 2024-11-07T01:00:43Z 2024-11-07T01:00:43Z 2024-11-06 2024-07 0022-4928 https://pubs.kist.re.kr/handle/201004/150972 Numerical simulations of turbulent moist Rayleigh-B & eacute;nard convection driving CCN activation and droplet growth in the laboratory Pi chamber are discussed. Supersaturation fl uctuations come from isobaric mixing of warm and humid air rising from the lower boundary with colder air featuring lower water vapor concentrations descending from the upper boundary. Lagrangian particle-based microphysics is used to represent the growth of haze CCN and cloud droplets with kinetic, solute, and surface tension effects included. Dry CCN spectra in the range between 2- and 200-nm radii from fi eld observations are considered. Increasing the total CCN concentration from pristine to polluted conditions results in an increase in the droplet concentration and reduction in the mean droplet radius and spectral width. These are in agreement with Pi chamber observations and numerical simulations, as well as with numerous past studies of CCN cloud-base activation in natural clouds. The key result is that a relatively small fraction of the available CCN is activated in the Pi chamber fl uctuating supersaturations, from about a half in the pristine case to only a 10th in the polluted case. The activation fraction as a function of the dry CCN radius is similar in all simulations, close to zero at the CCN small end, increasing to a maximum at CCN radius around 50 nm, and decreasing to close to zero at the large CCN end. This is explained as too small super- saturations to activate small CCN as in natural clouds and insufficient fi cient time to allow large CCN reaching the critical radius. English American Meteorological Society CCN Activation and Droplet Growth in Pi Chamber Simulations with Lagrangian Particle-Based Microphysics Article 10.1175/JAS-D-24-0004.1 1 Journal of the Atmospheric Sciences, v.81, no.7, pp.1201 - 1212 Journal of the Atmospheric Sciences 81 7 1201 1212 N scie scopus 001267160800001 Meteorology & Atmospheric Sciences Meteorology & Atmospheric Sciences Article NUMERICAL-SIMULATION CLOUD TURBULENCE IMPACTS Aerosols Cloud microphysics Clouds Condensation