F4EClim at the International Air Transportation R&D Symposium 2025

The F4EClim team participated in the International Air Transportation Research & Development Symposium, held in Prague from June 24–27, 2025. This gathering combined this year the ATM R&D Seminar and the International Conference on Research in Air Transportation, bringing together global experts and innovators in aviation research to discuss and find consensus on major issues for air transport.

On June 24, Manuel Soler and Abolfazl Simorgh from the Aircraft Operations Lab at Universidad Carlos III de Madrid (UC3M) delivered a hands-on tutorial titled:

Contrail Modeling & Trajectory Optimization for Climate-Smart Flight Operations Using Python-Based Open-Source Libraries

During this session, they introduced two open-source key outputs of the F4EClim project developed to support climate-optimized aviation:

• CLIMaCCF

A Python library designed to compute the climate impact of aviation emissions using algorithmic Climate Change Functions (aCCFs). Explore CLIMaCCF

• ROC

A robust trajectory optimization tool built to enable climate-friendly flight planning, even under uncertain weather conditions. Explore ROC

Related Research

For those interested in the scientific foundations behind these tools and their capabilities, we recommend the following peer-reviewed publications:

• Simorgh, A., & Soler, M. (2025). Climate-optimized flight planning can effectively reduce the environmental footprint of aviation in Europe at low operational costs. Communications Earth & Environment, 6(1), 66.

• Simorgh, A., Soler Arnedo, M. F., et al. (2024). Robust 4D climate-optimal aircraft trajectory planning under weather-induced uncertainties: Free-routing airspace.

• Simorgh, A., Soler, M., et al. (2024). Concept of robust climate-friendly flight planning under multiple climate impact estimates. Transportation Research Part D: Transport and Environment, 131, 104215.

• Dietmüller, S., Matthes, S., et al. (2022). A python library for computing individual and merged non-CO₂ algorithmic climate change functions: CLIMaCCF V1.0. Geoscientific Model Development Discussions, 1–33.