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Visual Analysis and Detection of Contrails in Aircraft Engine Simulations
Author(s) -
Nafiul Nipu,
Carla Floricel,
Negar Naghashzadeh,
Roberto Paoli,
G. Elisabeta Marai
Publication year - 2022
Publication title -
ieee transactions on visualization and computer graphics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 144
eISSN - 1941-0506
pISSN - 1077-2626
DOI - 10.1109/tvcg.2022.3209356
Subject(s) - computing and processing , bioengineering , signal processing and analysis
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.

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