The series, set to begin in late 2025, is aimed at researchers and practitioners working on forecast development across subseasonal to interdecadal timescales.
According to WCRP, the initiative targets experts using both traditional physical models and data-driven approaches to improve climate prediction capabilities.
WCRP’s Working Group on Subseasonal to Interdecadal Predictions Launches New Climate Forecasting Webinar Series New Webinar Series: Exploring Data-Driven Climate Prediction from Subseasonal to Interdecadal Timescales
The first session, scheduled for 29 October 2025 at 22:00 UTC, will explore the theme “Predictability Limits.” Two leading researchers will present their latest findings:
- Trent Vonich of the University of Washington will discuss “Atmospheric Predictability Beyond 30 Days with Machine Learning.”
- Kirsten Mayer from the National Center for Atmospheric Research (NSF NCAR) will present on “Investigating Sources of Subseasonal Predictability with Machine Learning.”
The session will be hosted by Debbie Hudson of the Bureau of Meteorology, who is expected to moderate the discussion and facilitate audience engagement.
Organizers emphasized that the series will serve as a platform for knowledge exchange and interdisciplinary collaboration, highlighting emerging research at the intersection of climate science and artificial intelligence.
More info:
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