Post-processing hydrological predictions: Quantifying impacts and enhancing subseasonal forecasts

<p dir="ltr">This presentation to the Bureau of Meteorology Hydrologic Sciences Section:</p><ol><li>shows why post-processing hydrological predictions is critical for water-resource management, demonstrating that neglecting hydrological errors can severely impact risk assessments.</li><li>presents sub-seasonal streamflow forecasting using the MuTHRE model, highlighting how comprehensive residual-error modelling improves forecast reliability across time scales.</li></ol><p></p>