MOOC MLWC - 1. ML in Weather & Climate
The first tier of our MOOC in Machine Learning in Weather and Climate includes six modules and is an introduction to the main topics in machine learning in the context of weather and climate, from the processing of observations to data assimilation, forecasting and post-processing.
MOOC MLWC - 2. Concepts of Machine Learning
The second tier of our MOOC on Machine Learning in Weather and Climate includes five modules and dives into the key concepts of Machine Learning, covering regression and decision trees, deep learning, uncertainty and generative models, and physics-guided approaches.
MOOC MLWC - 3. Practical ML applications in Weather & Climate
The third tier of our MOOC on Machine Learning in Weather and Climate includes six modules and gives practical examples of machine learning approaches applied to observations, forecasting, data assimilation, post-processing, ocean and climate, and operational meteorology.