Join NOAA’s Earth Prediction Innovation Center (EPIC) for an engaging Artificial Intelligence (AI) Numerical Modeling Workshop, designed to introduce the latest advancements in AI-driven weather prediction. This hands-on workshop is part of NOAA's cutting-edge Project Experimental AI Global and Limited-area Ensemble forecast system (EAGLE), a long-term initiative aimed at equipping NOAA and the Weather Enterprise with the capability to rapidly prototype, test, and implement AI models for global and regional forecasting. This course will enable participants to engage with Project EAGLE and contribute to the development and implementation of advanced AI-based forecasting systems.

107th AMS Annual Meeting
Colorado Convention Center
January 10, 2027 at 8:00 AM - 12:00 PM Mountain Time (Hybrid)

Registration for this course will open in late October.

Course Description:

Participants will leave the course with the following benefits:

• Foundational Understanding of AI in Weather Prediction: A solid grasp of AI-driven modeling concepts and how they apply to global and regional weather forecasting, and a clear understanding of how to utilize AI for practical challenges in weather prediction.
• Practical Experience with AI Models: Hands-on skills in running, visualizing, and verifying AI-driven models using community-developed tools.
• Knowledge of Verification Frameworks: The ability to evaluate AI models against performance benchmarks, ensuring reliable forecasting outcomes.
• Familiarity with Cutting-Edge AI Tools: Exposure to the latest AI models and tools developed by NOAA, providing insights into state-of-the-art technologies in the field.
• Open-Source Resources: Continued learning opportunities through open access to workshop materials and code repositories on GitHub (NOAA-EPIC/EAGLE).
• Collaboration: Opportunities to connect with experts in AI, meteorology, and data science, fostering collaboration and knowledge exchange within the Weather Enterprise.

VIEW AGENDA

If you have questions regarding the course, please contact Jessica Wheeler.

Instructors: