Print Email Facebook Twitter Reviews and responses for Fast contrail estimation with OpenSky data Title Reviews and responses for Fast contrail estimation with OpenSky data Author Sun, Junzi (TU Delft Control & Simulation) Roosenbrand, E.J. (TU Delft Control & Simulation) Contributor Figuet, Benoit (editor) Dubot, Thomas (editor) Waltert, Manuel (editor) Olive, Xavier (editor) (ENSIACET) 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-dataEmissionsAir Traffic To reference this document use: http://resolver.tudelft.nl/uuid:f6290571-fabb-4857-910a-4fb4300b1c54 DOI https://doi.org/10.59490/joas.2023.7312 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 contribution to periodical Rights © 2024 Junzi Sun, E.J. Roosenbrand Files PDF joas-review-7264.pdf 589.21 KB Close viewer /islandora/object/uuid:f6290571-fabb-4857-910a-4fb4300b1c54/datastream/OBJ/view