The Aeronautical Meteorology Scientific Conference 2024 held in Geneva was a pivotal gathering for experts in meteorology and aviation. This year's event underscored a significant trend: both the scientific community and the Air Traffic Management (ATM) sector are showing increasing interest in embracing Artificial Intelligence (AI) and machine learning to enhance weather predictions.
AI METHODS is working to bring the future of weather forecasting into the present by developing a comprehensive framework for AI-based weather predictions on an industrial scale. Through the integration of cutting-edge AI techniques, our goal is to enhance forecast accuracy, thereby improving safety and operational efficiency in air traffic management.
Key Insights from the Conference
As the coordinating company of the KAIROS project, AI METHODS presented the project's cutting-edge research focused on AI applications in aviation weather forecasting. On October 21, during the session on “Science underpinning meteorological observations, nowcasting, and deterministic and probabilistic forecasts,” Iván Martinez and Damiano Brunori discussed “AI Convection Prediction”. This presentation highlighted AI techniques for predicting atmospheric convection, crucial for turbulence and flight safety, and generated significant interest among attendees.
Additionally, Nicolás Manzano presented two posters: "Airport Visibility Prediction using AI" and "Dust and SO2 Propagation Prediction using AI," the latter co-presented with Javier Ballester.
These contributions at AeroMetSci24 reinforce our commitment to harnessing the power of artificial intelligence to address significant real-world issues within the aviation industry. Through more accurate AI predictions, we are not only contributing to improve operational efficiency but also safety protocols, resource allocation, and decision-making processes.
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