Training

Uncover how climate models work and how they can be evaluated. Differences between climate projections, predictions and scenarios are explained.

About climate projections, differences between climate models, and how to choose from climate projection data.

Six modules introducing the main topics in machine learning in the context of weather and climate.

Five modules covering decision trees, deep learning, uncertainty and generative models, and physics-guided approaches.

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.

Six modules giving ML applications in observations, forecasting, data assimilation, post-processing, ocean and more.

From analysis of the past to future projections Short online courseBecause you don't have to be a climate scientist to make climate data work for you! ...

An introduction to the different sources of climate data and how to find them.

Learn how to use the Climate Data Store (CDS) for applications in the health sector. The lesson focuses on urban heat and data and indicators from SIS-European Health.

This lesson teaches how to use climate models in the development of national climate scenarios. Examples are provided for The Netherlands, Switzerland and the U.K.

Learn about the various data sources, and strategies to find climate data: processing, choosing projections, scenarios, ensembles and variables.

Learn about Essential Climate Variables, the different types of climate data resources, and their respective pros and cons.