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

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.

An introduction to the different sources of climate data and how to find them.

Learn about Essential Climate Variables, the different types of climate data resources, and their respective pros and cons.

Explore the different types of measurements, the types of observing systems and their measurement uncertainty.

This lesson teaches users the basics of climate reanalysis. The lesson explains how reanalyses are made, an overview of global reanalyses datasets, and their strengths and limitations.

Uncover how climate models work and how they can be evaluated. Differences between climate projections, predictions and scenarios are explained.