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Verifying Scientific Simulations via Comparative and Quantitative Visualization
November/December 2010 (vol. 30 no. 6)
pp. 16-28
James Ahrens, Los Alamos National Laboratory, Los Alamos
Katrin Heitmann, Los Alamos National Laboratory, Los Alamos
Mark Petersen, Los Alamos National Laboratory, Los Alamos
Jonathan Woodring, Los Alamos National Laboratory, Los Alamos
Sean Williams, Los Alamos National Laboratory, Los Alamos
Patricia Fasel, Los Alamos National Laboratory, Los Alamos
Christine Ahrens, Los Alamos National Laboratory, Los Alamos
Chung-Hsing Hsu, Oak Ridge National Laboratory, Oak Ridge
Berk Geveci, Kitware, Inc., Clifton Park
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.

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Index Terms:
visualization in earth, space, and environmental sciences; hypothesis testing; visual evidence; feature detection and tracking; computer graphics; graphics and multimedia
Citation:
James Ahrens, Katrin Heitmann, Mark Petersen, Jonathan Woodring, Sean Williams, Patricia Fasel, Christine Ahrens, Chung-Hsing Hsu, Berk Geveci, "Verifying Scientific Simulations via Comparative and Quantitative Visualization," IEEE Computer Graphics and Applications, vol. 30, no. 6, pp. 16-28, Nov.-Dec. 2010, doi:10.1109/MCG.2010.100
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