Training

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.

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

Fire Radiative Power (FRP) and Active Fire data enable us to quantify biomass burning, improve the accuracy of our estimates of greenhouse gas and aerosol emissions, and support real-time monitoring of fire activity.

Retrieve landcover data from the C3S Climate Data Store, examining, subsetting, saving and re-projecting.

Using GIRAFE data record for climate studies. Two use cases: analysis of time averaged and seasonal data; trend analysis

Glacier mass change dataset from the CDS: inspection, plotting and animation of the time series of the annual gridded files