Learn about the role of satellite observations and measurements, and how these are assimilated and monitored for NWP.
Learn about the ways in which forecast jumpiness can appear and how it can be mitigated.
Learn about uncertainties and chaotic behaviour in NWP, why ensembles are needed and how they are used at ECMWF.
Six modules introducing the main topics in machine learning in the context of weather and climate.
Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.
Learn how sub-grid-scale processes (not explicitly simulated in NWP), are parameterised and how challenges are overcome.
