Learn about the main sources of uncertainty in weather forecasting and how they are addressed in early warning systems.
This lesson teaches about sources of uncertainty in climate projections, what robust signals are, and when we can be confident in a change.
About climate projections, differences between climate models, and how to choose from climate projection data.
Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.
Learn about uncertainties and chaotic behaviour in NWP, why ensembles are needed and how they are used at ECMWF.
Explore sources of uncertainty in NWP and how this is represented in the IFS using stochastic physics.
Learn about sources of predictability, seasonal forecast skill and the ECMWF sub-seasonal forecasting system.
Five modules covering decision trees, deep learning, uncertainty and generative models, and physics-guided approaches.
