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How We Model Stream Temperature in the Delaware River Basin

June 21, 2021

Neural networks are powerful deep learning models that help us make accurate environmental predictions. This data visualization describes how to train an artificial neural network, and how the USGS uses them to make physically-realistic predictions with less data.

Illustration of how solar radiation, precipitation, and shade effect stream temperature
This illustration is part of the 'How We Model Stream Temperature In the Delaware River Basin' data visualization story.