Learn about data assimilation and how it is used to define ‘optimal' initial conditions for NWP at ECMWF.
Fundamentals
40 minutes
Single module
Learn about the main sources of uncertainty in weather forecasting and how they are addressed in early warning systems.
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Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.
Learn about the ways in which forecast jumpiness can appear and how it can be mitigated.
This lesson covers key processes in ice and mixed-phase clouds and precipitation, and parametrization uncertainties.
Explore the key microphysical and warm-phase processes of cloud and precipitation parametrisation and their use in NWP.