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Large eddy simulations (LESs) are performed for the area of the Caribbean island Barbados to investigate island effects onboundary layer modification, cloud generation and vertical mixing of aerosols.  Due to the presence of a topographicallystructured island surface in the domain center, the model setup has to be designed with open lateral boundaries.  In order togenerate inflow turbulence consistent with the upstream marine boundary layer forcing, we use the cell perturbation method basedon finite amplitude potential temperature perturbations.  In this work, this method is for the first time tested and validated for moist boundarylayer simulations with open lateral boundary conditions.  Observational data obtained from the SALTRACE field campaign is usedfor both model initialization and a comparison with Doppler wind and Raman lidar data. Several numerical sensitivity tests are carried outto demonstrate the problems related to “gray zone modeling” when using coarser spatial grid spacings beyond the inertialsubrange of three-dimensional turbulence or when the turbulent marine boundary layer flow is replaced by laminarwinds. Especially cloud properties in the downwind area west of Barbados are markedly affected in these kinds ofsimulations. Results of an additional simulation with a strong trade-wind inversion reveal its effect on cloud layer depth andlocation. Saharan dust layers that reach Barbados via long-range transport over the North Atlantic are included as passivetracers in the model.  Effects of layer thinning, subsidence and turbulent downward transport near the layer bottom at <i>z</i> ≈ 1800 m become apparent.  The exact position of these layers and strength of downward mixing is found to bemainly controlled atmospheric stability (especially inversion strength) and wind shear.  Comparisons of LES model output withwind lidar data show similarities in the downwind vertical wind structure.Additionally, the model results accurately reproduce the developmentof the daytime convective boundary layer measured by the Raman lidar