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 …

Water | Free Full-Text | Review: Sources of Hydrological Model Uncertainties and Advances
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …

The goal of this commentary is to critically evaluate the use of popular performance metrics
in hydrologic modeling. We focus on the Nash‐Sutcliffe Efficiency (NSE) and the Kling …

Spatiotemporally continuous global river discharge estimates across the full spectrum of
stream orders are vital to a range of hydrologic applications, yet they remain poorly …

Abstract The Surface Water and Ocean Topography (SWOT) mission will vastly expand
measurements of global rivers, providing critical new data sets for both gaged and ungaged …

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 …

We introduce a set of global high-resolution (0.05°) precipitation (P) climatologies corrected
for bias using streamflow (Q) observations from 9372 stations worldwide. For each station …

Hydrologic signatures are quantitative metrics or indices that describe statistical or
dynamical properties of hydrologic data series, primarily streamflow. Hydrologic signatures …

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 …

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 …