Overview
This workshop will address the critical needs for a sustainable physical modelling capability over the next decade, amid uncertainties in HPC technology, programming languages, and scientific strategies. We will explore how to best achieve a forecasting system that can adapt to current changes in circumstances and requirements for model development. These include the rise of machine learning, which is becoming both a tool for software development and a foundation for emerging numerical weather prediction systems; and also the shift towards shared code repositories, automated testing, interactive visualisation, and open-source initiatives, which encourage software development teams to embrace agile software development methodologies and new coding standards.
Call for abstracts
Oral and poster presentations contributions are invited across the workshop themes.
If you wish to make a contribution, please complete the abstract submission form before 4 September. Please note that poster presentations must be delivered in person.
Attendance
Registration is now open, with the option to join either in person or online. If you wish to attend, please complete the registration form before 25 September.
Whilst there are no registration fees, please note that we are unable to provide funding to support attendance. Participants are expected to cover their own travel and accommodation costs.
Timeline
- 26 January 2026: Registration and poster abstract submission open
- 4 September 2026: Abstract submission deadline
- 18 September 2026: Notification of abstract acceptance
- 25 September 2026: Registration closes