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Hydrologic, hydraulic, and eco-hydraulic models are simplified representations of complex systems. These models rely on abstraction and parameterisation, ranging from well-defined to highly uncertain, to translate real-world processes into computational frameworks.

This webinar explores where uncertainty arises in the modelling process and how it can affect outcomes. Topics include input and validation data, physics selection, solution schemes, system schematisation, process parameterisation, calibration and verification, and result communication.

The session is relevant to both newcomers and experienced modellers, as well as stakeholders, encouraging thoughtful engagement with uncertainty across the project lifecycle - and highlighting its importance for building robust, credible models.

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