Title :
Verifying Scientific Simulations via Comparative and Quantitative Visualization
Author :
Ahrens, J. ; Heitmann, K. ; Petersen, M. ; Woodring, J. ; Williams, S. ; Fasel, P. ; Ahrens, Christine ; Chung-Hsing Hsu ; Geveci, B.
Author_Institution :
Los Alamos Nat. Lab., Los Alamos, NM, USA
Abstract :
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.
Keywords :
data visualisation; iterative methods; program verification; query processing; code verification; comparative visualization; cosmological simulation; data interpretation; iterative hypothesis; oceanographic simulation; quantitative visualization; scientific simulation; visualization assisted process; Accuracy; Atmospheric modeling; Computational modeling; Data visualization; Meteorology; Numerical models; Visualization; and environmental sciences; computer graphics; feature detection and tracking; graphics and multimedia; hypothesis testing; space; visual evidence; visualization in earth;
Journal_Title :
Computer Graphics and Applications, IEEE
DOI :
10.1109/MCG.2010.100
