Abstract Model calibration and validation are critical in hydrological model robustness
assessment. Unfortunately, the commonly used split‐sample test (SST) framework for data …

Model intercomparison studies are carried out to test and compare the simulated outputs of
various model setups over the same study domain. The Great Lakes region is such a …

Canada, like other high latitude cold regions on Earth, is experiencing some of the most
accelerated and intense warming resulting from global climate change. In the northern …

Streamflow sensitivity to different hydrologic processes varies in both space and time. This
sensitivity is traditionally evaluated for the parameters specific to a given hydrologic model …

Abstract Environment and Climate Change Canada has initiated the production of a 1980–
2018, 10 km, North American precipitation and surface reanalysis. ERA-Interim is used to …

Accurately characterizing the spatial variability of tension water storage capacity (TWC)
within a catchment is challenging due to limited in-situ hydrologic data availability …

This study explores the application of long short-term memory (LSTM) networks to simulate
runoff at the national scale of Denmark using data from 301 catchments. This is the first …

Machine learning (ML) algorithms have emerged as competent tools for identifying areas
that are susceptible to flooding. The primary variables considered in most of these works …

There is an urgent demand for assessments of climate change impacts on the hydrological
cycle at high spatial resolutions. In particular, the impacts on shallow groundwater levels …

Intercomparison studies play an important, but limited role in understanding the usefulness
and limitations of currently available hydrological models. Comparison studies are often …