Hydrologic modelers are increasingly using explainable AI (XAI) to provide additional insight into complex hydrological problems, but a new University of Adelaide study suggests XAI's insights may not ...

The researchers examined the components and processes within two enormous models known as ParFlow-CLM (top) and WRF-Hydro (bottom), which capture hydrological processes for the entire United States.

Hydrological modelling of watershed responses encompasses the simulation of water movement through catchment systems under varying climatic, land‐use and topographic conditions. Models range from ...

Hydrological modelling of catchment response seeks to represent how rainfall inputs are transformed into streamflow outputs through a complex interplay of climate, soil, topography, land cover and ...

Water resources are under increasing pressure from drought, pollution, urban growth and climate variability. To manage these challenges effectively, countries need reliable tools to understand where ...

In a new study, researchers applied a large-scale model linking surface water to groundwater, which can be used for estimating water resources at a high spatial resolution. Against the backdrop of ...

Model natural and engineered hydraulic and hydrologic systems. Manage large datasets and develop models for hydrodynamics. Gain in-depth modeling experience using real-world case studies in a ...