Hydrology experts at the U.S. Department of Energy's (DOE's) Oak Ridge National Laboratory (ORNL) used artificial intelligence and a physics-based understanding of streamflow to create a model that provides highly accurate predictions of river temperatures, even in waterways that lack sensors. The findings are published in the Journal of Hydrology.
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