Building a Machine-Learning Climate Emulator

Harvard FAS

In this project-based graduate course, students will build a machine-learning emulator of El Niño events by training on climate model simulations and gain experience lecturing about machine learning. ML emulators can learn from observations or complex models and then simulate or predict a given system with exceptional efficiency. The introductory lectures will introduce basic ENSO dynamics and some machine learning ideas, including supervised learning, neural networks, backpropagation,…