An introduction into Climate Services, and a seven step approach to develop a case study, illustrated with a practical example.
Fundamentals
Single module
Six modules giving ML applications in observations, forecasting, data assimilation, post-processing, ocean and more.
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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