3 code implementations • 12 Jun 2018 • Stephan Rasp, Michael S. Pritchard, Pierre Gentine
We train a deep neural network to represent all atmospheric sub-grid processes in a climate model by learning from a multi-scale model in which convection is treated explicitly.
