Training

Surface Albedo product. Three case studies: data retrieval, visualisation, time-series creation, set up Python environment

LAI and fAPAR retrieved with satellite remote sensing. Computation of inverse variance weights

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.

Investigating CAMS regional air-quality forecasts to examine high-resolution pollutant fields and time series.

Access and use of satellite-derived Greenhouse Gas (GHG) atmospheric carbon dioxide (CO2) Level 2 data product.

How to access, read and use Greenhouse Gas atmospheric carbon dioxide and methane data: temporal and spatial variation.

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.

Investigating and visualising CAMS NOx anthropogenic and natural emissions inventories.

Exploring bias in CAMS forecasts using observations and introducing how MOS helps address systematic errors.