The road to 500 years of multi-member, seasonal climate hindcasts
This research presentation, delivered in Reading, UK, at the S2S2D Conference 2026, focuses on developing 500‑year multi‑member seasonal climate hindcasts using machine learning methods. It highlights methodological advances and potential applications in long‑term climate forecasting.
This research presentation, delivered in Reading, UK, at the S2S2D Conference 2026, focuses on developing 500‑year multi‑member seasonal climate hindcasts using machine learning methods. It highlights methodological advances and potential applications in long‑term climate forecasting.
The study demonstrates machine learning approaches that could support Swiss AI research in climate modeling and long‑term forecasting.
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