Scientific visualization is routinely promoted as an indispensable
component of the knowledge discovery process in a variety of scientific and engineering disciplines. However, our experiences with
visualization at the National Center for Atmospheric Research (NCAR)
differ somewhat from those described by many in the visualization
community. Visualization at NCAR is used with great success to convey
highly complex results to a wide variety of audiences, but the
technology only rarely plays an active role in the day-to-day
scientific discovery process. We believe that one reason for this is
the mismatch between the size of the primary simulation data sets
produced and the capabilities of the software and visual computing
facilities generally available for their analysis. Here we describe
preliminary results of our efforts to facilitate visual as well as
non-visual analysis of terascale scientific data sets with the aim of
realizing greater scientific return from such large scale computation
efforts.
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