October 14, 2016
Journal Article

Aerosol indirect effect from turbulence-induced broadening of droplet size distributions

Abstract

The influence of aerosol concentration on cloud droplet size distribution is investigated in a laboratory chamber that enables turbulent cloud formation through moist convection. The experiments allow steady-state microphysics to be achieved, with aerosol input balanced by cloud droplet growth and fallout. As aerosol concentration is increased the cloud droplet mean diameter decreases as expected, but the width of the size distribution also decreases sharply. The aerosol input allows for cloud generation in the limiting regimes of fast microphysics (c t) for low aerosol concentration; here, c is the phase relaxation time and t is the turbulence correlation time. The increase in the width of the droplet size distribution for the low aerosol limit is consistent with larger variability of supersaturation due to the slow microphysical response. A stochastic differential equation for supersaturation predicts that the standard deviation of the squared droplet radius should increase linearly with a system time scale defined as -1 s = -1 c + -1 t , and the measurements are in excellent agreement with this finding. This finding underscores the importance of droplet size dispersion for the aerosol indirect effect: increasing aerosol concentration not only suppresses precipitation formation through reduction of the mean droplet diameter, but perhaps more importantly, through narrowing of the droplet size distribution due to reduced supersaturation fluctuations. Supersaturation fluctuations in the low aerosol / slow microphysics limit are likely of leading importance for precipitation formation.

Revised: May 1, 2019 | Published: October 14, 2016

Citation

Chandrakar K.K., W. Cantrell, K. Chang, D. Ciochetto, D. Niedermeier, M. Ovchinnikov, and R.A. Shaw, et al. 2016. Aerosol indirect effect from turbulence-induced broadening of droplet size distributions. Proceedings of the National Academy of Sciences (PNAS) 113, no. 50:14,243-14,248. PNNL-SA-119793. doi:10.1073/pnas.1612686113