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.
Learn about the role of satellite observations and measurements, and how these are assimilated and monitored for NWP.
Explore sources of uncertainty in NWP and how this is represented in the IFS using stochastic physics.
Learn about sources of predictability, seasonal forecast skill and the ECMWF sub-seasonal forecasting system.
Learn about the ways in which forecast jumpiness can appear and how it can be mitigated.
