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 …

One decade after the first publications on multi-objective calibration of hydrological models,
we summarize the experience gained so far by underlining the key perspectives offered by …

Evaluating the forthcoming impacts of climate change is important for formulating efficient
and flexible approaches to water resource management. General Circulation Models …

Multidecadal surface temperature changes may be forced by natural as well as
anthropogenic factors, or arise unforced from the climate system. Distinguishing these …

Bayesian inference has found widespread application and use in science and engineering
to reconcile Earth system models with data, including prediction in space (interpolation) …

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 …

The successful application of hydrological models relies on careful calibration and
uncertainty analysis. However, there are many different calibration/uncertainty analysis …

Soil degradation due to erosion is connected to two serious environmental impacts:(i) on-
site soil loss and (ii) off-site effects of sediment transfer through the landscape. The potential …

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 …