This session addresses advances in climate and hydro-meteorological forecasts and projections, and their role in predicting water availability and servicing water sectors. It welcomes, without being restricted to, presentations on:
Developing the climate and hydro-meteorological forecast services:
• Seamless prediction and projection systems spanning real-time, sub-seasonal, multi-annual, decadal and long-term timescales for water availability and hydrological extremes (floods, droughts, compound events);
• Process-based, data-driven, AI-enabled, machine learning, and hybrid forecasting methods;
• Methods for post-processing and refining hydro-climate information (e.g., downscaling, bias correction, spatiotemporal disaggregation, blending and interpolation);
• Uncertainty propagation, forecast verification, sensitivity analysis and tools;
• Co-development of forecasts between scientists and service providers.
Applying the climate and hydro-meteorological forecast services:
• Assessment of forecast value, skill and usability for decision-making, including communication, visualization and user engagement;
• Operational hydro-meteorological forecasting systems and hydro-climate services;
• Case studies and water management applications based on these services (e.g., river/reservoir operation, agricultural, industrial and public water use).
The session will bring together researchers, service developers and operational managers in hydrology, meteorology and climate, to share advances, experiences and lessons learned in translating hydroclimate information into practical decision support. Contributions are encouraged from across sectors including water resources management, drinking water supply, transport, energy production, agriculture, disaster risk reduction, forestry, health, insurance, tourism and infrastructure.