Reviews and responses for Fast contrail estimation with OpenSky data

Junzi Sun, E.J. Roosenbrand, Benoit Figuet (Editor), Thomas Dubot (Editor), Manuel Waltert (Editor), Xavier Olive (Editor)

Research output: Contribution to journalEditorialScientificpeer-review

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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.
Original languageEnglish
Number of pages7
JournalJournal of Open Aviation Science
Volume1
DOIs
Publication statusPublished - 2024
Event11th OpenSky Symposium 2023 - Toulouse, France
Duration: 30 Oct 202331 Oct 2023
Conference number: 11

Keywords

  • Open-data
  • Emissions
  • Air Traffic

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