Introducing the theory of comparing satellite retrievals with model fields using averaging kernels and operators.
Analysing TROPOMI ozone profiles using averaging kernels to compare satellite retrievals with model vertical structure.
Comparing TROPOMI NO₂ observations with CAMS regional fields to assess spatial patterns and air-quality variability.
Computing and visualising the global AQI from CAMS pollutants to assess air-quality conditions worldwide.
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.
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 is focused on how to gain flexibility and control when handling GRIB data using advanced ecCodes tools.
Calculating and mapping the European AQI from CAMS pollutant data and analysing pollutants with heat maps.
Processing and visualising CAMS ozone fields to visualise and animate the Antarctic ozone hole.
