This lesson covers key processes in ice and mixed-phase clouds and precipitation, and parametrization uncertainties.
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.
Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.
Explore the key microphysical and warm-phase processes of cloud and precipitation parametrisation and their use in NWP.
Learn how sub-grid-scale processes (not explicitly simulated in NWP), are parameterised and how challenges are overcome.
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.
An introduction to the basic concepts for the design of a cloud and precipitation microphysics parametrisation.
Access hindcast data of 2-metre temperature; Compute anomalies, averages and verification metrics.
