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The 3DCLOUD algorithm for generating stochastic three-dimensional (3-D) cloudfields is described in this paper. The generated outputs are 3-D opticaldepth (τ) for stratocumulus and cumulus fields and 3-D ice watercontent (IWC) for cirrus clouds. This model is designed to generate cloudfields that share some statistical properties observed in real clouds suchas the inhomogeneity parameter ρ (standard deviation normalized by themean of the studied quantity), the Fourier spectral slope β close to−5/3 between the smallest scale of the simulation to the outer Lout(where the spectrum becomes flat). Firstly, 3DCLOUD assimilatesmeteorological profiles (humidity, pressure, temperature and wind velocity).The cloud coverage C, defined by the user, can also be assimilated, butonly for stratocumulus and cumulus regime. 3DCLOUD solves drasticallysimplified basic atmospheric equations, in order to simulate 3-D cloudstructures of liquid or ice water content. Secondly, the Fourier filteringmethod is used to constrain the intensity of ρ, β, Loutand the mean of τ or IWC of these 3-D cloud structures. The 3DCLOUD modelwas developed to run on a personal computer under Matlab environment withthe Matlab statistics toolbox. It is used to study 3-D interactions betweencloudy atmosphere and radiation

geoscientific model development

A flexible three-dimensional stratocumulus, cumulus and cirrus cloud generator (3DCLOUD) based on drastically simplified atmospheric equations and the Fourier transform framework