Peter Melchior is co-leading a new Princeton project, HydroGEN, that has received a $5M grant from the National Science Foundation to use machine learning and artificial intelligence to develop simulated models of the nation’s watershed systems. The goal of the project is to develop advanced hydrological models that allow landscape managers, resource managers, and policymakers to forecast future conditions and make informed decisions related to water security and conservation, to better prepare for flooding and drought. The machine learning tools that will be developed will allow any user to build models that are fast-running but scientifically rigorous.
The team from Princeton also includes faculty from the High Meadows Environmental Institute and Engineering, and they are joined by collaborators at the University of Arizona.
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