Fast contrail estimation with OpenSky data

Journal Article (2024)
Author(s)

Junzi Sun (TU Delft - Control & Simulation)

E.J. Roosenbrand (TU Delft - Control & Simulation)

Copyright
© 2024 Junzi Sun, E.J. Roosenbrand
DOI related publication
https://doi.org/10.59490/joas.2023.7264
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 Junzi Sun, E.J. Roosenbrand
Related content
Volume number
1
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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.