Access hindcast data of 2-metre temperature; Compute anomalies, averages and verification metrics.
Introduction to calculating seasonal forecast anomalies. Visualisation as spatial maps, time series and interactive plot
This lesson focuses on ECGATE - ECMWF's server allocated for users' tasks, from submitting jobs to correcting 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.
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.
