This lessen provides an overview of the various types of climate data resources, and teaches what Essential Climate Variables are. It will indicate the main advantages and disadvantages of the various...

This lesson provides training on observations data. The different types of measurements are explained, the types of observing systems and the measurement uncertainty are explained.

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.

The aim of this lesson is to provide an introduction into Climate Services, and a seven step approach to develop a case study, illustrated with a practical example.

ecCodes is software developed by ECMWF to decode and encode in WMO GRIB and BUFR formats. This lesson focuses on handling GRIB data with ecCodes tools.

ecCodes is software developed by ECMWF to decode and encode in WMO GRIB and BUFR formats. This lesson will teach you how to inspect GRIB messages using GRIB tools.

In this lesson you will learn compiling and linking on ECGATE and HPCF, the basics of make and makefiles and simple debugging and optimisation.

Ensembles are run to account for uncertainties in initial conditions. This lesson explores the sources of error in NWP, how they are quantified, and how ensembles are evaluated.

Web services are used to visualise geographical data. This lesson describes web services, data standards and outlines what OGC and INSPIRE are.

This notebook-tutorial provides an introduction to the use of the

There are times when consecutive forecasts can 'jump' significantly. This lesson will discuss the ways in which forecast jumpiness can appear and how it can be mitigated.