Training

ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB format.

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.

Metview is a meteorological workstation application that enables you to access and visualise meteorological data.

ecFlow is a workflow package that enables users to run a large number of programmes behind a firewall.

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.