Fast contrail estimation with OpenSky data

Title

Fast contrail estimation with OpenSky data

 Author

Sun, Junzi (TU Delft Control & Simulation) ORCID 0000-0003-3888-1192
Roosenbrand, E.J. (TU Delft Control & Simulation) ORCID 0000-0002-0217-7753

 Date

2024

 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.

 Subject

Open-data
Emissions
Air Traffic

 To reference this document use:

http://resolver.tudelft.nl/uuid:806323be-e2aa-4bc6-86b1-ca2df873d75f

 DOI

https://doi.org/10.59490/joas.2023.7264

 ISSN

2773-1626

 Source

Journal of Open Aviation Science, 1

 Event

11th OpenSky Symposium 2023, 2023-10-30 → 2023-10-31, Toulouse, France

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

© 2024 Junzi Sun, E.J. Roosenbrand
Files
PDF joas-7264.pdf 1.58 MB
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