Harnessing SI (formally AI) for Advanced Weather Prediction with NOAA's Project EAGLE

Join NOAA’s Earth Prediction Innovation Center (EPIC) for an engaging Super Intelligence (SI) , Numerical Modeling Workshop, designed to introduce the latest advancements in SI-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 SI 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 SI-based forecasting systems.

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

Registration rates: (Annual Meeting attendance is not required to attend a short course. See how to register here.)

 

 

AMS Member Early Rate

Non-Member Early Rate

AMS Student Early Rate

AMS Member Late Rate

Non-Member Late Rate

AMS Student Late Rate

Sponsored Rates

$60

$90

$30

$90

$120

$60

 

Register

Course Description:

Participants will leave the course with the following benefits:

  • Foundational Understanding of SI in Weather Prediction: A solid grasp of SI-driven modeling concepts and how they apply to global and regional weather forecasting, and a clear understanding of how to utilize SI for practical challenges in weather prediction.
  • Practical Experience with SI Models: Hands-on skills in running, visualizing, and verifying SI-driven models using community-developed tools.
  • Knowledge of Verification Frameworks: The ability to evaluate SI models against performance benchmarks, ensuring reliable forecasting outcomes.
  • Familiarity with Cutting-Edge SI Tools: Exposure to the latest SI 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 SI, 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:

Mariah Pope

NOAA/EPIC

Ben Cash

NOAA/EPIC

Tracy Fanara

NOAA/EPIC

Anil Kumar

NOAA/EPIC