This lesson teaches about sources of uncertainty in climate projections, what robust signals are, and when we can be confident in a change.
Single module
Six modules giving ML applications in observations, forecasting, data assimilation, post-processing, ocean and more.
Click to enter this course
Five modules covering decision trees, deep learning, uncertainty and generative models, and physics-guided approaches.
Six modules introducing the main topics in machine learning in the context of weather and climate.
Short online courseBecause you don't have to be a climate scientist to make climate data work for you!
February 2026 Online, self-paced 8 hours
An introduction into Climate Services, and a seven step approach to develop a case study, illustrated with a practical example.