2025 Agenda

This presentation will explore the transformative potential of integrating artificial intelligence into meteorological prediction tools tailored for aviation safety, operational efficiency, and environmental impact mitigation. With weather-related hazards such as convection, turbulence, dust, low visibility, and ice crystal formation increasingly affecting air traffic operations, AI-enhanced predictive models offer a new avenue for both hazard anticipation and reduction of aviation’s environmental footprint. Recent advancements have even enabled AI-based contrail detection and prediction, with the potential of assessing aviation’s contribution to atmospheric warming.

The session focuses on AI-driven convection prediction, addressing aviation safety and planning challenges. Aniel Jardines will present a tool using continuous learning AI to synthesize meteorological data for high-resolution short- and mid-term forecasts. Attendees will explore how AI can improve real-time accuracy of weather information, enhancing safety and efficiency in aviation.