Learn about the role of satellite observations and measurements, and how these are assimilated and monitored for NWP.
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.
Learn about the unique role of snow in forecasting, from short-range to seasonal time scales.
The Meteorological Archival and Retrieval System (MARS) enables users to access and retrieve ECMWF’s historical data.
ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB and BUFR formats.
Six modules introducing the main topics in machine learning in the context of weather and climate.
Five modules covering decision trees, deep learning, uncertainty and generative models, and physics-guided approaches.
