A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations

Area of Science:

• Hydrology
• Environmental Science
• Water Resource Management

Background:

• Accurate estimation of discharge uncertainty is crucial for effective water resource management and flood forecasting.
• Existing methods often lack site-specificity or broad applicability across diverse catchment types.

Purpose of the Study:

• To present a generalized framework for estimating discharge uncertainty.
• To enable the calculation of place-specific discharge uncertainties for a wide range of catchments.
• To identify the key factors influencing discharge uncertainty magnitudes.

Main Methods:

• Development of a generalized, adaptable framework for uncertainty analysis.
• Application of the framework across multiple catchment types and geographical locations.
• Statistical analysis to correlate local conditions with uncertainty metrics.

Main Results:

• The framework successfully estimates place-specific discharge uncertainties.
• Significant variations in uncertainty magnitudes were observed across different catchments.
• Local hydrological and meteorological conditions were identified as dominant factors influencing uncertainty.

Conclusions:

• The generalized framework provides a robust tool for assessing hydrological model uncertainty.
• Understanding local conditions is key to managing and reducing discharge uncertainty.
• This approach supports improved decision-making in water management and risk assessment.