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.
Learn about data assimilation and how it is used to define ‘optimal' initial conditions for NWP at ECMWF.
Learn about uncertainties and chaotic behaviour in NWP, why ensembles are needed and how they are used at ECMWF.
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 the unique role of snow in forecasting, from short-range to seasonal time scales.
