Could the extreme heat of summer 2023 have been even worse? Using a 7,424-member machine-learning weather ensemble, this talk explores plausible worst-case temperature extremes and what very large ensembles can reveal beyond conventional weather simulations and statistical extrapolation.
HPSC Online Seminar
Talk: “Surface temperature extremes produced by huge machine learning hindcasts of summer 2023”
Speaker: Mark Risser, Staff Scientist, Lawrence Berkeley National Laboratory
Date: Friday, September 18, 2026
Time: 11:00 a.m.–12:00 p.m. ET
Format: Online
Join us to learn how high-performance computing and large-scale machine-learning ensembles can advance our understanding of extreme heat.
Registration is required. Register here: HPSC Online Seminar | Join meeting in Teams | Microsoft Teams
🤝 Co-Sponsors:
- American Statistical Association (ASA) Section on Statistical Computing
- International Association for Statistical Computing (IASC)
Learn more about High-Performance Statistical Computing Online Seminars: https://hpsc4science.org/
For more information, contact: Mary Salvana, Department of Statistics at marylai.salvana@uconn.edu