Conventional methods for designing infrastructure that is subject to flood risk, such as dams
and levees, assume a stationary design flood. However, observed and potential non …

Accurate and efficient streamflow simulations are crucial in arid and semi-arid regions for
water resources management. Process-based hydrological models generally perform …

Climate change impact studies on hydrological extremes often rely on the use of
hydrological models with parameters inferred by using observational data of daily …

The ability of hydrological models to deal with changing conditions should not be taken for
granted: it is an unfortunate but well-known problem of hydrology that the model structure …

Résumé This study deals with the evolution of the hydrological cycle over France during the
21st century. A large multi-member, multi-scenario, and multi-model ensemble of climate …

To assess the predictive performance, robustness and generality of watershed-scale
hydrological models, we conducted a detailed multi-objective evaluation of two conceptual …

Large datasets of long-term streamflow measurements are widely used to infer and model
hydrological processes. However, streamflow measurements may suffer from what users …

In this note, we present RAT, a new method to assess the robustness of hydrological
models. RAT can be seen as an alternative to the classical split-sample test widely used in …

The predictions made using rainfall-runoff models are inherently uncertain and it is important
to recognize and account for this uncertainty, especially in urban watersheds due to the high …

Over the last decades, different methods have been used by hydrologists to extend
observed hydro-climatic time series, based on other data sources, such as tree rings or …