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

Volume

30

Issue

6

fYear

2010

Firstpage

16

Lastpage

28

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;

fLanguage

English

Journal_Title

Computer Graphics and Applications, IEEE

Publisher

ieee

ISSN

0272-1716

Type

jour

DOI

10.1109/MCG.2010.100

Filename

5560617