SOURCE-LINKED INTELLIGENCE

Reducing Uncertainties in Contrail Impact and Climate-optimized Traffic Flow Modelling in Aviation

CORDIS · observation · Publication date unknown

environmental-performance trade-offs in ATM mitigation measures. - Supporting informed operational decision-making to minimise climate impact. REDUCT leverages advanced numerical weather prediction, machine learning, and uncertainty modelling to guide climate-sensitive flight planning. It also addresses the challenge of communicating complex findings through clear visualisations and stakeholder engagement, ensuring practical adoption across Europe’s densely trafficked airspace. By advancing contrail forecasting, operational feasibility studies, and climate-optimised ATM strategies, REDUCT provides one of the most immediate, cost-effective levers for reducing aviation’s short-term climate impact, fully aligned with SESAR’s climate research priorities. Contrails, Non-CO2 effects, Numerical weather prediction, Humidity, New aircraft fuels, Sustainable aviation fuels, Uncertainty quantification, ATM operational changes, ATM operational decision-making

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recordType

award

status

SIGNED

region

EU

value

999991.72

unit

EUR