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Verifying Scientific Simulations via Comparative and Quantitative Visualization

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9 Author(s)
Ahrens, J. ; Los Alamos Nat. Lab., Los Alamos, NM, USA ; Heitmann, K. ; Petersen, M. ; Woodring, J.
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This article presents a visualization-assisted process that verifies scientific-simulation codes. Code verification is necessary because scientists require accurate predictions to interpret data confidently. This verification process integrates iterative hypothesis verification with comparative, feature, and quantitative visualization. Following this process can help identify differences in cosmological and oceanographic simulations.

Published in:

Computer Graphics and Applications, IEEE  (Volume:30 ,  Issue: 6 )