AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Better Contrails Mitigation

CORDIS · observation · Publication date unknown

nd 3) validation of the predictions to determine and reduce the remaining uncertainties of contrail forecasts. To facilitate the assimilation and validation process, BeCoM will develop a novel hybrid artificial intelligence algorithm. Based on the contrail prediction, BeCoM will develop a policy framework for effective contrail avoidance through a trajectory optimization approach. BeCoM will enable a better understanding of contrail’s climate impact and formulate recommendations on how to implement strategies to enable air traffic management to reduce aviation's climate impact. The BeCoM consortium builds on its knowledge and expertise covering a wide spectrum from atmospheric science and climate research to aviation operations research and policy development. non-CO2 climate impact; operational measurements; ice cloud physics; hybrid-AI assisted assimilation and contrail detection; trajectory optimization; policy-driven flight planning

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recordType
award
status
SIGNED
region
EU
value
4457334
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.