Many water sectors are already having to cope with extreme weather events, climate variability and change. In this context, predictions on sub-seasonal and seasonal-to-decadal timescales (i.e., horizons ranging from months to a decade) are an essential part of hydrological forecasting. Applications of forecasts and the co-design of forecasting systems are essential for delivering impact to water sectors such as water supply, energy production and agriculture.
This session aims to cover research and operational advances in climate and hydro-meteorological forecasting, plus their implications for predicting water availability and servicing water sectors. It welcomes, without being restricted to, presentations on:
• Advances in sub-seasonal, seasonal and decadal hydrological predictions;
• Process-based, data-driven, machine learning and hybrid methods;
• Seamless forecasting techniques and applications;
• Hydro-climate forecasts and projections, including hydrological extremes, downscaling, bias correction, temporal disaggregation and spatial interpolation;
• Propagation of uncertainty through the forecasting chain;
• Impact-based assessments of forecasts for decision-making;
• Co-development of forecasts between scientists and service providers;
• Operational hydro-meteorological forecasting systems and hydro-climate services;
• Forecast verification, sensitivity analysis and tools; and
• Perspectives on forecast value for end users.
The session will bring together research scientists and operational managers in the fields of hydrology, meteorology and climate, with the aim of sharing experiences and initiating discussions on this momentous topic. We encourage presentations with impacts for water resources management, drinking water supply, transport, energy production, agriculture, disaster risk reduction, forestry, health, insurance, tourism and infrastructure.