Process-based hydrological models have a long history dating back to the 1960s. Criticized
by some as over-parameterized, overly complex, and difficult to use, a more nuanced view is …

Abstract The Prediction in Ungauged Basins (PUB) initiative of the International Association
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …

Current state‐of‐the‐art models typically applied at continental to global scales (hereafter
called macroscale) tend to use a priori parameters, resulting in suboptimal streamflow (Q) …

Operational medium range flood forecasting systems are increasingly moving towards the
adoption of ensembles of numerical weather predictions (NWP), known as ensemble …

This review and commentary sets out the need for authoritative and concise information on
the expected error distributions and magnitudes in observational data. We discuss the …

Uncertainty in the predictions of science when applied to the environment is an issue of
great current relevance in relation to the impacts of climate change, protecting against …

Climate impact analyses are usually based on driving hydrological models by future climate
scenarios, assuming that the model parameters calibrated to past runoff are representative …

In recent years, a strong debate has emerged in the hydrologic literature regarding what
constitutes an appropriate framework for uncertainty estimation. Particularly, there is strong …

Quantification of uncertainty of hydrological models has attracted much attention in
hydrologic research in recent years. Many methods for quantification of uncertainty have …

In the present paper we describe some methods for verifying and evaluating probabilistic
forecasts of hydrological variables. We propose an extension to continuous-valued variables …