ExaSheds: Advancing Watershed System Science using Machine Learning and Data Intensive Extreme-Scale Simulation

As the world population grows, so do concerns that water availability and water quality will continue to diminish. With leadership class computers, big data, and machine learning

machine learning (ML)

Machine Learning (ML) refers to the field and practice of using algorithms that are able to “learn” by extracting patterns from a large body of data.

Source: Center of Excellence Source

combined in learning-assisted, physics-based simulation tools, we have an opportunity to fundamentally change how watershed

watershed

An area of land that channels rainfall and snowmelt to creeks, streams, and rivers, and eventually flows to the lowest point in a basin.

Source: USGS Source

function is understood and predicted in this collaborative project.