Jupyterbook on how to explore and analyse climate and energy data from the Pan-European Climate Database version 4.2.
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.
