Spatial and temporal inhomogeneities in temperature and wind velocity affect sound propagation resulting in amplitude and phase fluctuations called scintillations. Acomputationally efficient method is presented to generate sequences of scintillations. The method, already used in the field of wireless communication to predict the performance of wireless communication links, could be used in the field of acoustics to create more perceptually valid auralizations. AG aussian spectrum and as pherical wavefront is considered, butt he method can also be used in combination with other spectra likethe Vo nKarman spectrum as well as plane waves. Twoexamples are given, one is apure tone affected by the scintillations and the other is an auralization of an aircraft flyover. The effect of the transverse speed of the source is demonstrated as well.

A new tool for the auralization of aircraft noise in an urban environment is in development. When listening to aircraft noise sound level fluctuations caused by atmospheric turbulence are clearly audible. Therefore, to create a realistic auralization of aircraft noise, atmospheric turbulence needs to be included. Due to spatial inhomogeneities of the wind velocity and temperature in the atmosphere acoustic scattering occurs, affecting the transfer function between source and receiver. Both these inhomogeneities and the aircraft position are time-dependent, and therefore the transfer function varies with time resulting in the audible fluctuations. Assuming a stationary (frozen) atmosphere, the movement of the aircraft alone gives rise to fluctuations. A simplified model describing the influence of turbulence on a moving elevated source is developed, which can then be used to simulate the influence of atmospheric turbulence in the auralization of aircraft noise.

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