ECMWF_MOOC

• Repository contains data, models, and learning resources used while attending MOOC Machine Learning in Weather & Climate by ECMWF
• Tier - 1
• Weatherbench repo
• Graph Weather : Keisler et al. GNN weather forecasting paper implementation
• Machine Learning for Model Error Inference and Correction
• Tier - 2
• Distill : site to understand CNN
• explorable transformers
• site to understand GNN
• site to understand GAN
• site to understand GAN
• tensorflow tutorial on deep convoutional GAN
• Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network
• Tier - 3
• Benchmarking of Machine Learning Ocean Subgrid Parameterizations in an Idealized Model
• Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting
• Deep Learning Based Cloud Cover Parameterization for ICON
• Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations: general algorithms and Lorenz 96 case study
• Stable climate simulations using a realistic general circulation model with neural network parameterizations for atmospheric moist physics and radiation processes
• site to learn ML for earth systems
• NEMI - method to determine regions of interest in large or highly complex and nonlinear data