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.
Four case studies exploring the conditions that cause deep convection, considering predictability and forecast errors.
How SCM is used to investigate the physical processes of a global model in isolation, its applications and limitations.
This lesson will take you through what convection is and the phenomena it causes.
This lesson looks at the three classes of parametrization schemes and the main characteristics of the IFS scheme.
Explore the key microphysical and warm-phase processes of cloud and precipitation parametrisation and their use in NWP.
Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.
This lesson covers key processes in ice and mixed-phase clouds and precipitation, and parametrization uncertainties.
Learn how sub-grid-scale processes (not explicitly simulated in NWP), are parameterised and how challenges are overcome.
Learn about the unique role of snow in forecasting, from short-range to seasonal time scales.
