Jupyter notebook based tutorials that demonstrate how to access and handle climate data available through C3S.
Jupyter notebook based tutorials that demonstrate how to access and handle atmospheric products available through CAMS.
Retrieve landcover data from the C3S Climate Data Store, examining, subsetting, saving and re-projecting.
Introduction to the C3S Aerosol properties gridded data derived from satellite. Creation of a full Climate Data Record.
Introduction to the C3S Aerosol properties gridded data derived from satellite. Use cases for monthly mean single sensor data.
Spatial and temporal ozone distribution of the total ozone columns. Retrieval of the data and analysis.
Cloud and radiation parameters of EUMETSAT's CM SAF CLARA-A3 dataset. Connection between clouds and radiation.
Using Cloud and Earth's Radiant Energy System Energy Balanced and Filled Earth's Radiation Budget data for climate studies
Earth radiation (top of atmosphere) parameters of EUMETSAT's CM SAF CLARA-A3. Access, process and visualize the data.
Introduction to the ECV Earth Radiation Budget, Outgoing Longwave Radiation (OLR) and three use cases
Using GIRAFE data record for climate studies. Two use cases: analysis of time averaged and seasonal data; trend analysis
ECV Surface Radiation Budget. Scratch, access and step-by-step guide on how to process and visualize the data
