Building a Stronger UFS Community Through Collaboration and Knowledge Sharing
UIFCW25 is a collaborative event bringing together experts in the forecasting community to present research findings, learn about the latest updates on the UFS, and engage in meaningful discussions. This workshop is set to take place from Monday, September 8, 2025 to Friday, September 12, 2025 at the University Corporation for Atmospheric Research (UCAR) Center Green in Boulder, Colorado and online.
A detailed agenda will be made available on June 30, 2025 on the UIFCW 2025 Event page. This workshop will feature several key topics related to numerical weather prediction and the UFS, including AI/ML, DA, UFS Governance, and more.
For the latest updates, including session schedules and keynote speakers, please check back regularly on the UIFCW 2025 event page or on their social media channels, X (formerly Twitter), Instagram, and LinkedIn.
Registration
Registration for UIFCW25 is now open!
Click the button below to register for the conference either in person at the UCAR Center Green in Boulder, Colorado, or virtually.
In-person registration must be completed by Friday, August 22, 2025.
Travel & Lodging
Hotel and travel details are available on the UIFCW 2025 event page. Please refer there for information on hotel options, booking and group rates. Attendees are encouraged to review these details in advance or registrations.
Abstract Submissions
Click the button below to submit your abstract for UIFCW25 to contribute and explore new ideas and approaches in forecasting.
Sessions include:
- Unified Forecast System (UFS) Application – Short Range Weather (SRW) Application, Rapid Refresh Forecast System (RRFS), and Model for Prediction Across Scales (MPAS)
- UFS Application – Coastal, Marine, Oceans and Ecology
- UFS Application – Air Quality, Atmospheric Composition, Aerosols (including smoke, dust and fire capabilities)
- Cross-Cutting – Data Assimilation
- UFS Application – Global Applications Across Scales
- Community Engagement/Collaboration
- Emerging Technologies: Artificial Intelligence (AI) / Machine Learning (ML)
- Student Session (Includes option for an oral or a poster presentation)
- Poster Session