Explore and compare CARRA and ERA5 near-surface air temperature reanalysis data using Python and CDS API workflows.
Computing and visualising the global AQI from CAMS pollutants to assess air-quality conditions worldwide.
Investigating CAMS regional air-quality forecasts to examine high-resolution pollutant fields and time series.
Exploring bias in CAMS forecasts using observations and introducing how MOS helps address systematic errors.
Exploring CAMS global reanalysis fields to study atmospheric composition, trends, and long-term variability.
Evaluating CAMS global aerosol forecasts by comparing model AOD with AERONET observations at selected sites.
Investigating and visualising CAMS NOx anthropogenic and natural emissions inventories.
Comparing TROPOMI NO₂ observations with CAMS regional fields to assess spatial patterns and air-quality variability.
Analysing TROPOMI ozone profiles using averaging kernels to compare satellite retrievals with model vertical structure.
Introducing the theory of comparing satellite retrievals with model fields using averaging kernels and operators.
