  Contrails are condensation trails generated from emitted particles by
aircraft engines, which perturb Earth's radiation budget. Simulation modeling
is used to interpret the formation and development of contrails. These
simulations are computationally intensive and rely on high-performance
computing solutions, and the contrail structures are not well defined. We
propose a visual computing system to assist in defining contrails and their
characteristics, as well as in the analysis of parameters for
computer-generated aircraft engine simulations. The back-end of our system
leverages a contrail-formation criterion and clustering methods to detect
contrails' shape and evolution and identify similar simulation runs. The
front-end system helps analyze contrails and their parameters across multiple
simulation runs. The evaluation with domain experts shows this approach
successfully aids in contrail data investigation.
