Explore and compare CARRA and ERA5 near-surface air temperature reanalysis data using Python and CDS API workflows.
Investigating and visualising CAMS NOx anthropogenic and natural emissions inventories.
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.
Computing and visualising the global AQI from CAMS pollutants to assess air-quality conditions worldwide.
Evaluating CAMS global aerosol forecasts by comparing model AOD with AERONET observations at selected sites.
Exploring CAMS global reanalysis fields to study atmospheric composition, trends, and long-term variability.
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.
This notebook demonstrates the conversion from effective to true LAI using a clumping factor. It includes the propagation of the uncertainty to the true LAI, including many but not all additional sources of uncertainty.
Retrieve data on Burned Area from the C3S Climate Data Store, examining, subsetting, saving and re-projecting it
