Verifying Scientific Simulations via Comparative and Quantitative Visualization

被引:13
作者
Ahrens, James P. [1 ]
Heitmann, Katrin [2 ]
Petersen, Mark [3 ]
Woodring, Jonathan [1 ]
Williams, Sean [1 ]
Fasel, Patricia [4 ]
Ahrens, Christine [5 ]
Hsu, Chung-Hsing [6 ]
Geveci, Berk
机构
[1] Los Alamos Natl Lab, Appl Comp Sci Grp, Los Alamos, NM 87545 USA
[2] Los Alamos Natl Lab, Space Sci & Applicat Grp, Los Alamos, NM 87545 USA
[3] Los Alamos Natl Lab, Comp Computat & Stat Sci Div, Los Alamos, NM 87545 USA
[4] Los Alamos Natl Lab, Informat Sci Grp, Los Alamos, NM 87545 USA
[5] Los Alamos Natl Lab, Sci Software Engn Grp, Los Alamos, NM 87545 USA
[6] Oak Ridge Natl Lab, Applicat Performance Tools Grp, Oak Ridge, TN USA
关键词
and environmental sciences; computer graphics; feature detection and tracking; graphics and multimedia; hypothesis testing; space; visual evidence; visualization in earth;
D O I
10.1109/MCG.2010.100
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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. © 2006 IEEE.
引用
收藏
页码:16 / 28
页数:13
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