Simulating Cumulus Clouds based on Self-Organized Criticality
J. Cheraghalizadeh, M. Lukovi\'c, and M. N. Najafi

TL;DR
This paper introduces a new 2D simulation algorithm for cumulus clouds based on self-organized criticality, incorporating cohesive energy and diffusion processes, with results aligning well with observational data.
Contribution
The novel algorithm models cloud dynamics using cohesive energy and sandpile-like diffusion, reproducing fractal and statistical properties observed in real clouds.
Findings
Cloud fields are fractal with a perimeter dimension of 1.25.
Radius of gyration and loop length follow power-law distributions.
Model results match observational exponents and fractal properties.
Abstract
Recently it was shown that self-organized criticality is an important ingredient of the dynamics of cumulus clouds (Physical Review E, 103(5), p.052106, 2021). Here we introduce a new algorithm to simulate cumulus clouds in two-dimensional square lattices, based on two important facts: the cohesive energy of wet air parcels and a sandpile-type diffusion of cloud segments. The latter is realized by considering the evaporation/condensation of air parcels in various regions of the cloud, which enables them to diffuse to the neighboring regions. The results stemming from this model are in excellent agreement with the observational results reported in the above-cited paper, where the exponents have been obtained for the two-dimensional earth-to-sky RGB images of clouds. The exponents that are obtained at the lowest condensation level in our model are consistent with the observational…
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Taxonomy
TopicsAeolian processes and effects · Atmospheric aerosols and clouds
