Training

Explore and compare CARRA and ERA5 near-surface air temperature reanalysis data using Python and CDS API workflows.

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

Plotting velocity maps and flow vectors of the Greenland Ice Sheet and its major outlet glaciers, using ice velocity data

How to access the water level data for a specified lake and how to visualise its timeseries and yearly water level anomalies

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

OC and SST datasets from CDS: subset and download, visualise time series, aggregate daily to monthly, calculate anomalies