Learn about sources of predictability, seasonal forecast skill and the ECMWF sub-seasonal forecasting system.
Learn about the ways in which forecast jumpiness can appear and how it can be mitigated.
This lesson focuses on ECGATE - ECMWF's server allocated for users' tasks, from submitting jobs to correcting errors.
The Meteorological Archival and Retrieval System (MARS) enables users to access and retrieve ECMWF’s historical data.
This lesson provides an overview of Metview's main features to analyse and edit input data for the single-column model.
This lesson describes the web services used to visualise geographical data and outlines what OGC and INSPIRE are.
The Meteorological Archival and Retrieval System (MARS) enables access to ECMWF data. Explore its computing capability
ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB format.
ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB and BUFR formats.
This lesson is focused on how to gain flexibility and control when handling GRIB data using advanced ecCodes tools.
Six modules introducing the main topics in machine learning in the context of weather and climate.
