Frontiers

Machine Learning for Hydrological Modeling in Water Resource Management in Data-Scarce Regions

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Earth system models overestimate river flow increases, research reveals

Understanding how water moves through the Earth system is fundamental to predicting climate impacts and ensuring sustainable ...
Science Daily

An integrated modeling framework to assess surface and ground water resources

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 ...
Yale Environment 360

Decades later, a Yale chemist’s water simulations continue to make waves

One of the most influential science studies of all time started with a modest minicomputer, some simulated boxes of water molecules, and a grand vision for computer-aided chemistry. The year was 1982.