The Aeronautical Meteorology Scientific Conference 2024 in Geneva brought together experts to explore advancements in meteorological science for aviation. The KAIROS project played a key role, showcasing its cutting-edge research and innovations using AI to improve weather forecasting in the aviation sector.
On Monday, October 21, the first day of the conference, the team of AI METHODS, the coordinating company of the KAIROS project, participated in session 1, entitled “Science underpinning meteorological observations, nowcasting, and deterministic and probabilistic forecasts”. Iván Martinez and Damiano Brunori presented the KAIROS project research on “AI Convection Prediction”. Their presentation highlighted AI-based techniques for predicting atmospheric convection, a critical factor in turbulence and flight safety, arousing great interest among the audience.
In the poster sessions, Nicolás Manzano, from AI Methods, presented two posters: "Airport Visibility Prediction using AI" and "Dust and SO2 Propagation Prediction using AI", the latter co-presented with Javier Ballester.
Additionally, Bûn-Kim San from Universidad Carlos III de Madrid, a KAIROS consortium member, presented the poster titled "Physic-Informed AI for Low-Level Windshear Nowcasting and Wind Field Reconstruction".
The KAIROS team's involvement in AeroMetSci 2024 highlighted the crucial part the project plays in enhancing meteorological services with AI, establishing itself as a frontrunner in enhancing aviation safety and efficiency.
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