A team of environmental and computation scientists at the US Department of Energy's (DOE) Argonne National Laboratory are collaborating to use deep neural networks, a type of machine learning, to replace the parameterizations of certain physical schemes in the Weather Research and Forecasting Model, an extremely comprehensive model that simulates the evolution of many aspects of the physical world around us.