Predictions of floods, droughts, and fast drought‐flood transitions are required at different
time scales to develop management strategies targeted at minimizing negative societal and …

Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or
storms have devastating effects each year. One of the key challenges for society is …

Streamflow time series are commonly derived from stage‐discharge rating curves, but the
uncertainty of the rating curve and resulting streamflow series are poorly understood. While …

Hydrologic data are at the core of our understanding of physical hydrologic processes, our
simulation models and forecasts of water resources and hazards, and our monitoring of …

After some background about what I have learned from a career in hydrological modelling, I
present some opinions about how we might make progress in improving hydrological …

This paper presents the calibration and evaluation of the Global Flood Awareness System
(GloFAS), an operational system that produces ensemble streamflow forecasts and …

Streamflow observations can be used to understand, predict, and contextualize hydrologic,
ecological, and biogeochemical processes and conditions in streams. Stream gages are …

Abstract Knowledge of the stage-discharge rating curve is useful in designing and planning
flood warnings; thus, develo** a reliable stage-discharge rating curve is a fundamental …

Sample sizes of observed climate extremes are typically too small to reliably constrain return
period estimates when there is non-stationary behaviour. To increase the historical record …

The open-source programming language R has gained a central place in the hydrological
sciences over the last decade, driven by the availability of diverse hydro-meteorological data …