Large-sample hydrological datasets have enabled major advances in data-driven hydrology, but most existing products provide basin-averaged forcings and aggregated attributes, limiting their ...

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 ...

Hydrological models represent water movement in natural systems, and they are important for water resource planning and management. But the models depend on reliable input data for weather factors, ...

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 ...

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 ...

Authors Simone Fatichi, Enrique R. Vivoni, Fred L Odgen, Valeriy Y Ivanov, Benjamin B. Mirus, David Gochis, Charles W Downer, Matteo Camporese, Jason H Davison, Brian ...

Title Twelve-digit hydrologic unit soil moisture, recharge, actual evapotranspiration, and snowpack water equivalent storage from the National Hydrologic Model Infrastructure with the ...