WMO AI Webinars
Advancing AI for weather, climate and water is a collective endeavor. The WMO AI Community of Practice is the shared space where Members collaborate to turn promising AI/ML research into operational value. Here, practitioners can discover and contribute models, tools, datasets, benchmarks and case studies across forecasting, climate services and hydrology. Through the WMO AI Webinars and this page, experts connect across regions to exchange lessons learned, compare results and co‑develop trustworthy, standards‑based solutions. Join us to share your work, learn from peers and help accelerate reliable AI across the WMO system.
(Please note that the WMO AI Community of Practice page plans to be created soon. Meanwhile, the information on AI is presented via this WMO AI Webinars page.)
First WMO AI Webinar
🕐 Time: 13:00 – 14:00 UTC
Please register from the link: The first WMO AI webinar - good practices of ECCC and KMA
| Time (UTC) | Presentation | Presenter | Resources |
|---|---|---|---|
22 January 2026 13:00-13:30 | TBD | TBD (KMA, Republic of Korea) | PPT, recording |
| 13:30-14:00 | Integration of AI/ML into operational weather and environmental forecasting systems at ECCC Environment and Climate Change Canada (ECCC) is integrating AI/ML into operational weather and environmental forecasting systems. This presentation will summarize the progress on the AI-physics hybrid Global Deterministic Prediction System with Spectral Nudging (GDPS-SN) and describe its path to operationalisation. The presentation will also describe progress made on the AI-based PARADIS weather model and feature other AI/ML projects for weather and environmental forecasting currently underway at ECCC. | Emilia Diaconescu and Stéphane Beauregard (ECCC, Canada) | PPT, recording |