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 …

Many of the scientific and societal challenges in understanding and preparing for global
environmental change rest upon our ability to understand and predict the water cycle …

Rainfall-Runoff Modelling: The Primer, Second Edition is the follow-up of this popular and
authoritative text, first published in 2001. The book provides both a primer for the novice and …

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 …

This paper presents a discussion of some of the issues associated with the multiple sources
of uncertainty and non-stationarity in the analysis and modelling of hydrological systems …

This paper reviews the use of the Generalized Likelihood Uncertainty Estimation (GLUE)
methodology in the 20 years since the paper by Beven and Binley in Hydrological …

Benchmarking the quality of river discharge data and understanding its information content
for hydrological analyses is an important task for hydrologic science. There is a wide variety …

Physically based models provide insights into key hydrologic processes but are associated
with uncertainties due to deficiencies in forcing data, model parameters, and model …

A novel ensemble-based conceptual-data-driven approach (CDDA) is developed where a
data-driven model (DDM) is used to “correct” the residuals from an ensemble of hydrological …

Evidence suggests that catchment state variables such as groundwater can exhibit multiyear
trends. This means that their state may reflect not only recent climatic conditions but also …