  This research presents a new turbulence generation method based on stochastic
wavelets and tests its various properties in both homogeneous and inhomogeneous
turbulence. Turbulence field can be generated with less basis compared to
previous synthetic Fourier methods. Adaptive generation of inhomogeneous
turbulence is achieved by scale reduction algorithm and lead to smaller
computation cost. The generated turbulence shows good agreement with input data
and theoretical results.
