Computer simulation models have been widely used to generate hydrometeorological
forecasts. As the raw forecasts contain uncertainties arising from various sources, including …

Brown, JD, 2013: Verification of temperature, precipitation and streamflow forecasts from the
NWS Hydrologic Ensemble Forecast Service (HEFS): Medium-range forecasts with forcing …

The paper appraises two approaches for the treatment of heteroscedasticity and
autocorrelation in residual errors of hydrological models. Both approaches use weighted …

This paper aims to investigate the effect of uncertainty originating from model inputs,
parameters and initial conditions on 10 day ensemble low flow forecasts. Two hydrological …

In operational hydrology, estimation of the predictive uncertainty of hydrological models
used for flood modelling is essential for risk-based decision making for flood warning and …

In hydrological forecasting, data assimilation techniques are employed to improve estimates
of initial conditions to update incorrect model states with observational data. However, the …

Streamflow forecasts provide vital information to aid emergency response preparedness and
disaster risk reduction. Medium-range forecasts are created by forcing a hydrological model …

Hydrological ensemble prediction systems (HEPS) have in recent years been increasingly
used for the operational forecasting of floods by European hydrometeorological agencies …

A non-parametric method is applied to quantify residual uncertainty in hydrologic streamflow
forecasting. This method acts as a post-processor on deterministic model forecasts and …

Ensemble Streamflow Forecasting across the US Mid-Atlantic Region with a Distributed
Hydrological Model Forced by GEFS Reforecasts in: Journal of Hydrometeorology Volume 18 …