This lesson teaches users the basics of climate reanalysis. The lesson explains how reanalyses are made, an overview of global reanalyses datasets, and their strengths and limitations.
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
An introduction into Climate Services, and a seven step approach to develop a case study, illustrated with a practical example.