Exploring bias in CAMS forecasts using observations and introducing how MOS helps address systematic errors.
Investigating CAMS regional air-quality forecasts to examine high-resolution pollutant fields and time series.
Access CAMS global atmospheric composition forecasts and view time series as animations.
Create maps of CAMS global atmospheric composition forecast data for multiple parameters.
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.
Calculating and mapping the European AQI from CAMS pollutant data and analysing pollutants with heat maps.
Computing and visualising the global AQI from CAMS pollutants to assess air-quality conditions worldwide.
Processing and visualising CAMS ozone fields to visualise and animate the Antarctic ozone hole.
