Training platform

Extended range forecasts provide outlooks up to 46 days. This lesson examines sources of predictability, seasonal forecast skill and the ECMWF extended range forecasting system.

Analyse a heatwave with ERA5 data from the C3S Climate Data Store. Compare temperatures with climatology. Plot figures.

Ensembles are run to account for uncertainties in initial conditions. This lesson explores the sources of error in NWP, how they are quantified, and how ensembles are evaluated.

Spatial and temporal ozone distribution of the total ozone columns. Retrieval of the data and analysis.

Introduction to the C3S Aerosol properties gridded data derived from satellite. Use cases for monthly mean single sensor data.

There are times when consecutive forecasts can 'jump' significantly. This lesson will discuss the ways in which forecast jumpiness can appear and how it can be mitigated.

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

Seasonal forecasting is useful in planning for many sectors. This lesson will explore seasonal predictability, how numerical seasonal forecast models work and their outputs.

This course is to find different options within Moodle for Bouke Hefting and to play around to see what's possible and what not

TEST course created by Janine Quist to get onboarded in the Moodle environment