Learn how EFI, SOT and Model Climate are built and provide forecast guidance for extreme, or severe weather events.
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.
Metview is a meteorological workstation application that enables you to access and visualise meteorological data.
ecFlow is a workflow package that enables users to run a large number of programmes behind a firewall.
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 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 seasonal predictability, how numerical seasonal forecast models work and their outputs.
