The goal of the project, Better Contrail Mitigation (BeCoM), is to attempt a significant reduction(>50%) or elimination of the global mean contrail radiative forcing. As a result, the reduction in contrail formation would reduce aviation's global contribution, making the goals achievable in a shorter time horizon.
Learn MoreConsolidate Lidar instruments for routine operations
Extend Aircraft Meteorological Data Relay
Combine different measurements to measure humidity at the upper troposphere
Extend Aircraft Meteorological Data Relay to enable routine measurements of humidity at cruise level
Assimilation of satellite-borne measurements and direct camera images new to enhance the numerical representation of ice clouds within their ambient humidity field and within their dynamical background in the NWP models
Develop a new concept of ice cloud microphysics for NWP models that improves the prediction of ice-supersaturated regions
Propose a standard for quantifying uncertainties in contrail formation and climate impact at an operational flight weather data field
Estimate this uncertainty of persistent contrail-cirrus prediction
Identify adequate data sources for AI training
Develop appropriate AI algorithms trained using datasets delivered in Objective 1
Evaluate the contrails prediction models through comparison with empirical observations
Evaluate the effectiveness of warning contrail avoidance by trajectories optimization
Minimize the cost impact when implementing climate optimized flight trajectories
Integrate non-CO2 effects within current policy schemes
Analyse existing and discussed operational policy instruments for non-CO2 effects
Convert non-CO2-effects into algorithmic cost functions for climate change
Develop a concept for the integration of uncertainties of algorithmic cost functions for climate change
Transpose the scientific findings of BeCoM into formats and tools exploitable
Create a platform to disseminate the BeCoM outcomes
Create links with other EU partnerships
This project has received funding from the European Union’s Horizon Europe Research and innovation program under grant agreement No 101056885
