Flooding poses significant risks to communities in wetlands and densely urbanized regions, necessitating robust prevention ...

ABSTRACT Many large basins in the “Monsoon Asia” region have sparse surface observation networks of the hydro-meteorological parameters needed for hydrological modeling. These models are often used in ...

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 ...

This is a preview. Log in through your library . Abstract ABSTRACT Hydrologic model calibration is usually a central element of streamflow forecasting based on the ensemble streamflow prediction (ESP) ...

As Lake Powell and Lake Mead near critical elevations, federal planners face narrowing operational options that could reshape ...

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 ...

This study is led by Dr. Huo Ran (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University). This team integrated reconstructed data and (global climate and ...

One of the most critical issues facing us today is the provision of enough water to meet the needs of society. Civil Engineers in the water resources area study a range of topics including water ...

Scientists at the University of Illinois Urbana-Champaign can now differentiate between human-derived and hydrological ...