Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.
This lesson looks at the three classes of parametrization schemes and the main characteristics of the IFS scheme.
This lesson will take you through what convection is and the phenomena it causes.
This lesson covers key processes in ice and mixed-phase clouds and precipitation, and parametrization uncertainties.
Learn how EFI, SOT and Model Climate are built and provide forecast guidance for extreme, or severe weather events.
Learn about the unique role of snow in forecasting, from short-range to seasonal time scales.
Learn about the ways in which forecast jumpiness can appear and how it can be mitigated.
Learn about sources of predictability, seasonal forecast skill and the ECMWF sub-seasonal forecasting system.
Explore sources of uncertainty in NWP and how this is represented in the IFS using stochastic physics.
Learn about the role of satellite observations and measurements, and how these are assimilated and monitored for NWP.
Learn about seasonal predictability, how numerical seasonal forecast models work and their outputs.
Learn about uncertainties and chaotic behaviour in NWP, why ensembles are needed and how they are used at ECMWF.
