A team of environmental and computation scientists is using 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.
Click here for original story, Deep neural networks speed up weather and climate models
Source: ScienceDaily