Humidity Inference for Enhanced Contrail Prediction Over African Airspace

This repository examines the relationship between contrail radiative forcing and environmental factors using synthetic flight data, aiming to improve contrail prediction models in regions with poor satellite coverage through machine learning techniques.

●• Authors

Baimam Boukar Jean Jacques	Alice Mugengano	Jonathan Kayizzi
Carnegie Mellon University Africa	Carnegie Mellon University Africa	Carnegie Mellon University Africa
bbaimamb@andrew.cmu.edu	amugengano@andrew.cmu.edu	jkayizzi@andrew.cmu.edu

●• Dataset Description

●• Methodology

●• Reproduction Steps

●• Cite This Work

@software{boukar_etal_2025,
author = {Baimam Boukar Jean Jacques and Alice Mugengano and Jonathan Kayizzi},
month = May,
title = {{Analyzing Contrail Radiative Forcing and Environmental Factors Using Synthetic Flight Data}},
url = {https://github.com/baimamboukar/contrail-environmental-impact},
version = {1.0},
year = {2025}
}