Articles | Volume 24, issue 3
Nonlin. Processes Geophys., 24, 535–542, 2017
Nonlin. Processes Geophys., 24, 535–542, 2017

Research article 05 Sep 2017

Research article | 05 Sep 2017

On the CCN (de)activation nonlinearities

Sylwester Arabas and Shin-ichiro Shima

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Cited articles

Arabas, S. and Pawlowska, H.: Adaptive method of lines for multi-component aerosol condensational growth and CCN activation, Geosci. Model Dev., 4, 15–31,, 2011.
Arabas, S. and Shima, S.: Large-Eddy Simulations of Trade Wind Cumuli Using Particle-Based Microphysics with Monte Carlo Coalescence, J. Atmos. Sci., 70, 2768–2777,, 2013.
Arabas, S., Jaruga, A., Pawlowska, H., and Grabowski, W. W.: libcloudph++ 1.0: a single-moment bulk, double-moment bulk, and particle-based warm-rain microphysics library in C++, Geosci. Model Dev., 8, 1677–1707,, 2015.
Chuang, P., Charlson, R., and Seinfeld, J.: Kinetic limitations on droplet formation in clouds, Nature, 390, 594–596,, 1997.
Feingold, G. and Koren, I.: A model of coupled oscillators applied to the aerosol–cloud–precipitation system, Nonlin. Processes Geophys., 20, 1011–1021,, 2013.
Short summary
The paper bridges cloud/aerosol modelling with bifurcation analysis. It identifies two nonlinear peculiarities in the differential equations describing formation of atmospheric clouds through vapour condensation on a population of aerosol particles. A key finding of the paper is an analytic estimate for the timescale of the process. The study emerged from discussions on the causes of hysteretic behaviour of the system that we observed in the results of numerical simulations.