Direct volume rendering of unstructured grids has recently improved with approaches based on the use of hardware
acceleration with ray tracing dedicated GPU cores. However, these methods do not offer a solution for the visualization of
time-varying data, which is common in numerical simulations. In this paper, we propose a method for efficiently dealing with
unstructured grid time series using a progressive variance coherence approach for adaptive sampling of these data.