When engineers and planners design roads, bridges and dams, they rely on hydrological models intended to protect ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Alonda Hines/ORNL, U.S. Dept. of Energy Sean Turner draws on his international experience and the latest deep learning tools ...

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 ...

In August 2016, the National Weather Service Office of Water Prediction (NWS/OWP) of the National Oceanic and Atmospheric Administration (NOAA) implemented the operational National Water Model (NWM) ...

The IAEA is launching a new research project to integrate isotope tracers into hydrological and climate modelling systems for more robust simulations of water availability. Forecasting climate and ...

This is a preview. Log in through your library . Abstract Karst basins are prone to rapid flooding because of their geomorphic complexity and exposed karst landforms with low infiltration rates.