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 model calibration and optimisation are critical for translating physical representations of catchment processes into reliable simulations of runoff, evapotranspiration and storage ...

Socio-hydrological modelling integrates hydrological processes and human dynamics to capture the two-way feedbacks that shape water systems. By coupling quantitative representations of precipitation, ...

Allen Hunt, Ph.D., professor of physics at Wright State University, published a new co-authored paper, "Predicting Streamflow Elasticity Based on Percolation Theory and Ecological Optimality," in the ...

Hydrologic models that simulate and predict water flow are used to estimate how natural systems respond to different scenarios such as changes in climate, land use, and soil management. The output ...

A Penn State-led team will develop an improved computer model of the Amazon that could ultimately help scientists better understand climate, thanks to a new grant from the Department of Energy. The ...