Six modules introducing the main topics in machine learning in the context of weather and climate.
Five modules covering decision trees, deep learning, uncertainty and generative models, and physics-guided approaches.
How to access, read and use Greenhouse Gas atmospheric carbon dioxide and methane data: temporal and spatial variation
Spatial and temporal ozone distribution of the total ozone columns. Retrieval of the data and analysis.
Cloud and radiation parameters of EUMETSAT's CM SAF CLARA-A3 dataset. Connection between clouds and radiation.
Using Cloud and Earth's Radiant Energy System Energy Balanced and Filled Earth's Radiation Budget data for climate studies
Earth radiation (top of atmosphere) parameters of EUMETSAT's CM SAF CLARA-A3. Access, process and visualize the data.
Introduction to the ECV Earth Radiation Budget, Outgoing Longwave Radiation (OLR) and three use cases
Using GIRAFE data record for climate studies. Two use cases: analysis of time averaged and seasonal data; trend analysis
ECV Surface Radiation Budget. Scratch, access and step-by-step guide on how to process and visualize the data
Combined global near-infrared and microwave imager total column water vapour data for climate studies. Use, visualization and analysis
