HS4.6 | From real-time flood forecasting to sub-seasonal forecasting to climate projections: modelling, early warning, and servicing water sectors
EDI
From real-time flood forecasting to sub-seasonal forecasting to climate projections: modelling, early warning, and servicing water sectors
Convener: Tim aus der Beek | Co-conveners: Kourosh Behzadian, Saman Razavi, Farnad Nasirzadeh, Friedrich BoeingECSECS, Giada CeratoECSECS, Farzad PiadehECSECS

This session addresses advances in climate and hydro-meteorological forecasts and projections, and their role in predicting water availability and serving water stakeholders. This includes early flood forecasting and warning systems, as effective means to mitigate the adverse impacts of floods. As a result, Real-time flood forecasting (RTFF) systems have gained popularity in early flood warning.

It welcomes, without being restricted to, presentations on:

• Advances in sub-seasonal, seasonal and decadal hydrological predictions;
• Process-based, data-driven, AI, machine learning, and hybrid methods;
• Seamless forecasting techniques and applications;
• Hydro-climate forecasts and scenario-based projections of water availability and hydrological extremes (floods, droughts, compound events);
• RTFF modelling including physically/processed/conceptually/experimentally based or data-driven modelling such as artificial Intelligence (AI), machine learning (ML), Data mining (DM), and deep learning (DL) or hybrid modelling including citizen-knowledge-informed and physics-informed modelling
• Application RTFF for flood alleviation or engagement with the public and authorities, such as early warning and early action systems, citizen-knowledge based modelling, digital twins (DT), augmented reality (AR), virtual reality (VR), and mobile apps.
• RTFF: impact on flood risk management, insurance, capacity building, vulnerability assessment, and community resilience.
• Methods for post-processing and refining the hydro-climate information (e.g., downscaling, bias correction, temporal disaggregation, spatial interpolation).
• From (near) real-time monitoring to predicting water availability;
• 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 hydrology, meteorology and climate, with the aim of sharing experiences and foster discussions on this momentous topic. We encourage presentations with implications for early warning, water resources management, drinking water supply, transport, energy production, agriculture, disaster risk reduction, forestry, health, insurance, tourism and infrastructure.

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