Explore sources of uncertainty in NWP and how this is represented in the IFS using stochastic physics.
This lesson focuses on ECGATE - ECMWF's server allocated for users' tasks, from submitting jobs to correcting errors.
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.
The Meteorological Archival and Retrieval System (MARS) enables access to ECMWF data. Explore its computing capability
ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB format.
This lesson teaches about sources of uncertainty in climate projections, what robust signals are, and when we can be confident in a change.
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.
