Climate services are shifting from supply-driven forecast dissemination toward demand-driven, user-centric information systems. Yet a persistent gap remains between the sophistication of subseasonal-to-seasonal (S2S) predictions and their actionable use by vulnerable communities around the world including South Asia and Sub-Saharan Africa. This session examines how artificial intelligence, digital climate intelligence platforms, and human-centred design are transforming the delivery and uptake of climate services across scales.

We invite contributions addressing: (1) AI/ML-augmented forecasting methods for hydrometeorological hazards; (2) digital tools translating climate information into decision-relevant advisories for agriculture, water management, and disaster risk reduction; (3) frameworks integrating top-down climate science with bottom-up community knowledge; and (4) last-mile delivery mechanisms, including anticipatory action protocols, connecting forecasts to protective outcomes. Contributions spanning compound risks, equity dimensions, and polycentric governance are encouraged.

• H - Hydrology
• NH - Natural Hazards