# Visual Analysis and Detection of Contrails in Aircraft Engine Simulations

arXiv: https://arxiv.org/abs/2208.02321 · HTML: https://mlsanity.com/paper/2208.02321/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 99 references that are in the map.
- First posted on arXiv 3 Aug 2022.

## Builds on (most cited first, 1 of 1)

- [THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy](https://mlsanity.com/paper/2108.02817/) (2021)

## Abstract (arXiv)

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.