2010
Ahrens, James; Heitmann, Katrin; Petersen, Mark; Woodring, Jonathan; Williams, Sean; Fasel, Patricia; Ahrens, Christine; Hsu, Chung-Hsing; Geveci, Berk
Verifying Scientific Simulations via Comparative and Quantitative Visualization Journal Article
In: IEEE Computer Graphics and Applications, vol. 30, no. 6, pp. 16-28, 2010, ISSN: 0272-1716.
Abstract | Links | BibTeX | Tags: meteorology, visualization
@article{LAPR-2010-010807,
title = {Verifying Scientific Simulations via Comparative and Quantitative Visualization},
author = {James Ahrens and Katrin Heitmann and Mark Petersen and Jonathan Woodring and Sean Williams and Patricia Fasel and Christine Ahrens and Chung-Hsing Hsu and Berk Geveci},
url = {http://ieeexplore.ieee.org/document/5560617/},
doi = {10.1109/MCG.2010.100},
issn = {0272-1716},
year = {2010},
date = {2010-01-01},
journal = {IEEE Computer Graphics and Applications},
volume = {30},
number = {6},
pages = {16-28},
abstract = {This article presents a visualization-assisted process that veri es scienti c- simulation codes. Code veri cation is necessary because scientists require accurate predictions to interpret data con dently. This veri cation process integrates iterative hypothesis veri cation with comparative, feature, and quantitative visualization. Following this process can help identify differences in cosmological and oceanographic simulations.},
keywords = {meteorology, visualization},
pubstate = {published},
tppubtype = {article}
}
Ahrens, James; Heitmann, Katrin; Petersen, Mark; Woodring, Jonathan; Williams, Sean; Fasel, Patricia; Ahrens, Christine; Hsu, Chung-Hsing; Geveci, Berk
Verifying Scientific Simulations via Comparative and Quantitative Visualization Journal Article
In: IEEE Computer Graphics and Applications, vol. 30, no. 6, pp. 16-28, 2010, ISSN: 0272-1716.
@article{LAPR-2010-010807,
title = {Verifying Scientific Simulations via Comparative and Quantitative Visualization},
author = {James Ahrens and Katrin Heitmann and Mark Petersen and Jonathan Woodring and Sean Williams and Patricia Fasel and Christine Ahrens and Chung-Hsing Hsu and Berk Geveci},
url = {http://ieeexplore.ieee.org/document/5560617/},
doi = {10.1109/MCG.2010.100},
issn = {0272-1716},
year = {2010},
date = {2010-01-01},
journal = {IEEE Computer Graphics and Applications},
volume = {30},
number = {6},
pages = {16-28},
abstract = {This article presents a visualization-assisted process that veri es scienti c- simulation codes. Code veri cation is necessary because scientists require accurate predictions to interpret data con dently. This veri cation process integrates iterative hypothesis veri cation with comparative, feature, and quantitative visualization. Following this process can help identify differences in cosmological and oceanographic simulations.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}