Training

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

Practical introduction to the Sea level gridded data: plotting data during an El Niño event and over a strong current

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 CMIP6 global climate projections from the C3S Climate Data Store, plot projected 2m temperature from model ensemble.

Introduction to CORDEX regional climate model data on single levels. Compute difference in air temperature climatologies.

Access ERA5 data from the C3S Climate Data Store. Analyse climatologies and trends in near-surface air temperature.

An introduction to C3S applications in the tourism sector. It identifies C3S data and tools useful for tourism stakeholders in supporting climate change adaptation.

An introduction into Climate Services, and a seven step approach to develop a case study, illustrated with a practical example.

This lesson teaches about downscaling and bias correction methods. An exercise for bias correction is included.

This lesson covers how climate change impacts the agriculture sector. Responses of different crop types to climate change is explained. Adaptation measures are introduced and how CDS data can be used ...

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