Learn about the main sources of uncertainty in weather forecasting and how they are addressed in early warning systems.
Learn about the various data sources, and strategies to find climate data: processing, choosing projections, scenarios, ensembles and variables.
This lesson teaches about sources of uncertainty in climate projections, what robust signals are, and when we can be confident in a change.
Learn how climate change will affect the energy sector, which energy-related data and indicators are available from the CDS, and how these can be used in applications.
Introduction to calculating seasonal forecast anomalies. Visualisation as spatial maps, time series and interactive plot
Access hindcast data of 2-metre temperature; Compute anomalies, averages and verification metrics.
