The SAPP system is the ECMWF's operational acquisition and pre-processing system for observations and other input data.
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.
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.
How SCM is used to investigate the physical processes of a global model in isolation, its applications and limitations.
ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB and BUFR formats.
