title: Verifying scientific simulations via comparative and quantitative visualization.
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.
authors.forename: James
authors.initials: J
authors.lastname: Ahrens
authors.forename: Katrin
authors.initials: K
authors.lastname: Heitmann
authors.forename: Mark
authors.initials: M
authors.lastname: Petersen
authors.forename: Jonathan
authors.initials: J
authors.lastname: Woodring
authors.forename: Sean
authors.initials: S
authors.lastname: Williams
authors.forename: Patricia
authors.initials: P
authors.lastname: Fasel
authors.forename: Christine
authors.initials: C
authors.lastname: Ahrens
authors.lastname: Chung-Hsing Hsu
authors.forename: Berk
authors.initials: B
authors.lastname: Geveci