Investigating CAMS regional air-quality forecasts to examine high-resolution pollutant fields and time series.
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.
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.
LAI and fAPAR retrieved with satellite remote sensing. Computation of inverse variance weights
Surface Albedo product. Three case studies: data retrieval, visualisation, time-series creation, set up Python environment
Practical introduction to the Sea level gridded data: plotting data during an El Niño event and over a strong current
OC and SST datasets from CDS: subset and download, visualise time series, aggregate daily to monthly, calculate anomalies
