AI Innovation for Climate Knowledge: AskWMO Wins Royal Meteorological Society Award
- Post by: Randy Muñoz
- June 16, 2025
- Comments off
We’re proud to share that AskWMO, a conversational AI tool designed to make authoritative climate knowledge more accessible, has received the Royal Meteorological Society’s Award for Innovation. 🌍🤖
EClim member Saeid Ashraf contributed to the development of AskWMO, a pilot tool that integrates AI and Natural Language Processing (NLP) to provide trusted, transparent, and traceable climate information. Grounded in verified sources and enhanced with metadata and structured summaries, AskWMO pushes the boundaries of Retrieval-Augmented Generation (RAG) to improve trustworthy AI in climate services.
🎯 Example prompt:
“Give me a comprehensive text for what WMO does wrt the Early Warnings for All initiative with all references and a summary at the end.”
📎 See the full response
🔗 Try it yourself: chatwmo.app
👏 Congratulations to co-awardees Brigitte Perrin, Gianpaolo Balsamo, and Jesse Cruz, and to the technical teams at SUREAL.ai Lab who made this innovation possible. Special thanks to champions Jürg Luterbacher and Markus Leippold for supporting this vision.
See the full post here.