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

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.

This lesson guides users through an adaptation case study of an (imaginary) olive farmer in Spain. The lesson contains clips that show how to use and adapt scripts in the toolbox.

ecCodes is software developed by ECMWF to decode and encode in WMO GRIB and BUFR formats. This lesson will introduce you to the BUFR format for decoding of BUFR data.

Metview is a powerful meteorological workstation application that enables you to access, process and visualise meteorological data. In this lesson you will learn how to use MetView.

This lesson provides a hands-on introduction to downloading data using the CDS API in Python. The lesson provides a number of short tutorial videos.

Sub-grid-scale processes are not explicitly simulated in NWP so must be parameterized. This lesson describes how the parameterization is done at ECMWF and the challenges faced.

The SAPP system is the ECMWF's operational acquisition and pre-processing system for observations and other input data. This lesson is aimed at users with little or no experience of SAPP and will pr...

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Snow’s specific properties impact forecast ranges from a few days to seasonal and climate. In this lesson, you will learn about the role of snow at different time scales.