Learn about sources of predictability, seasonal forecast skill and the ECMWF sub-seasonal forecasting system.
Learn how EFI, SOT and Model Climate are built and provide forecast guidance for extreme, or severe weather events.
Explore sources of uncertainty in NWP and how this is represented in the IFS using stochastic physics.
Learn about the role of satellite observations and measurements, and how these are assimilated and monitored for NWP.
This lesson focuses on ECGATE - ECMWF's server allocated for users' tasks, from submitting jobs to correcting errors.
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.
An introduction to C3S applications in the tourism sector. It identifies C3S data and tools useful for tourism stakeholders in supporting climate change adaptation.
Four case studies exploring the conditions that cause deep convection, considering predictability and forecast errors.
This lesson provides an overview of Metview's main features to analyse and edit input data for the single-column model.
This lesson describes the web services used to visualise geographical data and outlines what OGC and INSPIRE are.
This lesson is focused on how to gain flexibility and control when handling GRIB data using advanced ecCodes tools.
