  Plasma turbulence simulations are often computationally expensive with
delicate numerical stability. Yet, long simulations are needed to generate
uncorrelated turbulence data for studies such as microwave scattering through
density perturbations. For this reason, alternative methods of producing
accurate synthetic turbulence profiles via statistical methods is of interest.
Such a method is proposed where the two-point covariance function of the
desired turbulence is used to construct a multi-variate normal distribution.
Sampling from this distribution produces random fields which are both
qualitatively and quantitatively similar to the input turbulence data set. The
resulting `synthetic' turbulent profiles are uncorrelated in `time' so it is
useful only for scenarios that do not require such physical evolution.
