Auralization is the process of extracting and displaying meaningful
   information in the form of sound from data. Through not only
   visualization but also auralization, users may achieve better
   understanding of the data, especially when multiple variables are
   visualized simultaneously. The main objective of this paper is to
   synthesize sound from 3D time-varying multivariable field data with
   distributed "turbulent" spots. Our technique takes a hybrid approach
   between parameter mapping and direct simulation. During preprocessing,
   acoustic strengths are computed at each spatial points at each time
   step. During interaction, users navigate within the volume space and
   audio frames are computed by integrating the acoustic radiations from
   the sound sources. A number of problems inherent in auralization and
   our solutions are discussed.