This lesson will take you through the basic concepts for the design of a cloud and precipitation microphysics parametrization.

All numerical weather prediction models have sources of uncertainty. In this lesson you will learn about these uncertainties and chaotic behaviour, why ensemble prediction is needed, and about ECMWF m...

Extended range forecasts provide outlooks up to 46 days. This lesson examines sources of predictability, seasonal forecast skill and the ECMWF extended range forecasting system.

ecFlow is a workflow package that enables users to run programmes behind a firewall. During this lesson you will learn ecFlow vocabulary and how to run a simple suite.

Data assimilation is used in NWP to define ‘optimal' initial conditions for numerical forecasts. In this lesson you will define data assimilation and explore how it is used at ECMWF.

The SCM is a tool to investigate the physical processes of a global model in isolation. This lesson will introduce what a SCM is, its applications and limitations.

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

This lesson provides details on the various data sources, and strategies to find the data needed: Processing steps, choosing projections, scenarios, ensembles, variables etc. The lesson is a follow-up...

This lesson provides an introduction to the different sources of climate data and guides you to find the data you need.

This lesson provides an introduction to the CDS and Toolbox. Users will learn how to search the CDS, how to download data and how the toolbox can be used.

This ‘hands-on’ lesson covers climate projections, differences between climate models, and how to choose from climate projection data.