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Masino river (Credit: Christian Massari, distributed via

HS Hydrological Sciences Subdivision on Hydrological forecasting

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European Geosciences Union

Division on Hydrological Sciences

Subdivision on Hydrological forecasting

Chair: Louise Slater

The Hydrological Forecasting subdivision covers all topics focusing on the estimation of future hydrological states.

Efficient hydrological forecasting is required by a growing number of sectors to manage floods, droughts and other water-related risks. Hydro-meteorological forecasting systems provide predictions, future scenarios, and estimates of uncertainty as input to the decision-making processes of their users. They are increasingly being developed to answer the needs of economic sectors sensitive to weather and climate variability (e.g., water supply, hydropower, agriculture, tourism, navigation).

Hydrological forecasting has many challenges today: producing accurate and reliable forecasts operationally for water and risk management applications, accessing real-time data and assimilating these data in the forecasting process, developing reliable tools for evaluating risk and probabilities of extreme events, integrating economic models for informed decision-making, making best use of human expertise in ensemble-based and probabilistic forecasting systems, documenting societal responses and impacts of extreme events, as well as implementing user-friendly visualisation products and dialogs to support real-time procedures.

Topics covered:

Scientific sessions under the umbrella of the Hydrological Forecasting Sub-Division aim to promote knowledge on current advances and approaches leveraging state-of-the-art techniques and datasets to develop better methods, products, and services for users of hydro-meteorological forecasting systems (e.g., public water agencies, hydropower companies, flood forecasting centres, agricultural enterprises).

Topics of interest include:

Hydrological Forecasting targets different time scales (short-term, medium-term, and long-term) and different spatial scales (from local to regional and global scales).