Exploring CAMS global reanalysis fields to study atmospheric composition, trends, and long-term variability.
Investigating CAMS regional air-quality forecasts to examine high-resolution pollutant fields and time series.
Investigating and visualising CAMS NOx anthropogenic and natural emissions inventories.
Exploring bias in CAMS forecasts using observations and introducing how MOS helps address systematic errors.
Computing and visualising the global AQI from CAMS pollutants to assess air-quality conditions worldwide.
Learn how EFI, SOT and Model Climate are built and provide forecast guidance for extreme, or severe weather events.
Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.
Learn about seasonal predictability, how numerical seasonal forecast models work and their outputs.
Learn about sources of predictability, seasonal forecast skill and the ECMWF sub-seasonal forecasting system.
Learn about the ways in which forecast jumpiness can appear and how it can be mitigated.
Calculating and mapping the European AQI from CAMS pollutant data and analysing pollutants with heat maps.
