Jupyter notebook based tutorials that demonstrate how to access and handle atmospheric products available through CAMS.
Learn about the main sources of uncertainty in weather forecasting and how they are addressed in early warning systems.
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.
Evaluating CAMS global aerosol forecasts by comparing model AOD with AERONET observations at selected sites.
