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
