Predicting the weather using artificial intelligence
The EU-funded ISOBAR project aims to exploit Artificial Intelligence and develop five main AI components to support the Demand Capacity Balancing (DCB) supply chain in non-nominal and critical situations: enhancing and anticipating the prediction of convection, better characterising capacity and demand, identifying weather-related imbalances between capacity and demand and selecting capacity-demand mitigation measures at local and network levels. The project will be built on four main pillars. First, it will reinforce collaborative Air Traffic Flow and Capacity Management (ATFM) processes at pre-tactical and tactical levels into the local and network roles integrating dynamic weather cells. Second, it will characterise the demand and capacity imbalances. Third, it will set up a user-driven mitigation plan. Ultimately, the project will develop an operational and technical roadmap for the integration of ancillary services into SWIM.
Field of science
- /natural sciences/computer and information sciences/artificial intelligence
Call for proposal
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Funding SchemeSESAR-RIA - Research and Innovation action
74940 Annecy Le Vieux