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Numerical simulation is replacing experimentation as a means to gain insight into complex physical phenomena. Analyzing the data produced by such simulations is extremely challenging, given the enormous sizes of the datasets involved. In order to make efficient progress, analyzing such data must advance from current techniques that only visualize static images of the data, to novel techniques that can mine, track, and visualize the important features in the data. In this paper, we present ourdoi:10.1137/1.9781611972733.2 dblp:conf/sdm/JiangCMCBHRPMTWG03 fatcat:vdyzq5ceqbf5tpao65anfvqsjy