@article{806323bee2aa4bc686b1ca2df873d75f,
title = "Fast contrail estimation with OpenSky data",
abstract = "Contrails, formed under specific atmospheric conditions, have a noteworthy role in heat-trapping within the atmosphere. This study bridges the gap between theoretical contrail formation models and real-world data by employing flight information from OpenSky and meteorological data from the European Centre for Medium-Range Weather Forecasts. We introduce a computationally efficient contrail estimation module, leveraging a client-server architecture that allows on-demand weather data interpolation via an API, significantly reducing computational load and enhancing performance locally. The study also benchmarks the entire pipeline, from data acquisition to contrail prediction, offering a robust tool for future air traffic studies requiring interpolated weather data.",
keywords = "Open-data, Emissions, Air Traffic",
author = "Junzi Sun and E.J. Roosenbrand",
year = "2024",
doi = "10.59490/joas.2023.7264",
language = "English",
volume = "1",
journal = "Journal of Open Aviation Science",
issn = "2773-1626",
publisher = "TU Delft OPEN Publishing",
note = "11th OpenSky Symposium 2023 ; Conference date: 30-10-2023 Through 31-10-2023",
}