Editors

Robert F. Erbacher, Jonathan C. Roberts, Matti T. Gröhn, Katy Börner

Document Type

Article

Publication Date

2005

Publication Title

Proc. of SPIE-IS&T Electronic Imaging

Volume

5669

First Page

284

Last Page

294

Abstract

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. Visu- alization 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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