Large-sample hydrology (LSH) relies on data from large sets (tens to thousands) of
catchments to go beyond individual case studies and derive robust conclusions on …

Rainfall‐runoff models are used across academia and industry, and the number and type
have proliferated over time. In this primer we briefly introduce the key features of these …

Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling.
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …

This paper is the outcome of a community initiative to identify major unsolved scientific
problems in hydrology motivated by a need for stronger harmonisation of research efforts …

Pysteps is an open-source and community-driven Python library for probabilistic
precipitation nowcasting, that is, very-short-range forecasting (0–6 h). The aim of pysteps is …

Emerging interdisciplinary science efforts are providing new understanding of the
interdependence of food, energy, and water (FEW) systems. These science advances, in …

The Variable Infiltration Capacity (VIC) model is a macroscale semi-distributed hydrologic
model. VIC development began in the early 1990s and the model has since been used …

We present the first large-sample catchment hydrology dataset for Great Britain, CAMELS-
GB (Catchment Attributes and MEteorology for Large-sample Studies). CAMELS-GB collates …

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 …

Abstract The effectiveness of Integrated Water Resource Management (IWRM) modeling
hinges on the quality of practices employed through the process, starting from early problem …