This repository accompanies the paper "Fast Contrail Estimation with OpenSky Data", providing Python notebooks, scripts, and datasets integral to this paper and its findings.

The paper can be accessed at: https://journals.open.tudelft.nl/joas/article/view/7264

• plot.ipynb: This Jupyter notebook contains the code to replicate the figures presented in the paper.
• benchmark.ipynb: This Jupyter notebook demonstrates the benchmarking process of the fastmeteo library, showcasing its performance with different flights.
• contrail.py: A Python script that includes all necessary functions for contrail estimation, as discussed in the paper.

• example_flight.csv: This file contains an example flight dataset, used in the paper to demonstrate plot generation.
• eham_flights_benchmark.csv.gz: A compressed CSV file with flight trajectory data. It is used to benchmark the fastmeteo library's performance.
• benchmark_results.csv: Benchmarking results for individual flights, providing key data for the creation of Figure 5 in the paper.

To reproduce the results presented, it is necessary to install the fastmeteo Python library. Installation instructions and additional information are available at: https://github.com/junzis/fastmeteo

You will also need traffic library for trajectory visualization. More details at: https://traffic-viz.github.io/

Sample installation:

mamba create -n fastcontrail python=3.11 -c conda-forge
mamba activate fastcontrail
mamba install traffic
pip install git+https://github.com/junzis/fastmeteo