Training

Learn about sources of predictability, seasonal forecast skill and the ECMWF sub-seasonal forecasting system.

Learn how EFI, SOT and Model Climate are built and provide forecast guidance for extreme, or severe weather events.

Learn about the ways in which forecast jumpiness can appear and how it can be mitigated.

An introduction to C3S applications in the tourism sector. It identifies C3S data and tools useful for tourism stakeholders in supporting climate change adaptation.

An introduction into Climate Services, and a seven step approach to develop a case study, illustrated with a practical example.

This lesson teaches about sources of uncertainty in climate projections, what robust signals are, and when we can be confident in a change.

This lesson teaches about downscaling and bias correction methods. An exercise for bias correction is included.

This lesson covers how climate change impacts the agriculture sector. Responses of different crop types to climate change is explained. Adaptation measures are introduced and how CDS data can be used ...

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.

Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.