Climate Data Discovery – Introduction

This lesson provides an introduction to the different sources of climate data and guides you to find the data you need.

Climate Data Discovery – Advanced

This lesson provides details on the various data sources, and strategies to find the data needed: Processing steps, choosing projections, scenarios, ensembles, variables etc. The lesson is a follow-up of “Climate Data Discovery – Introduction”.

Data Resources - Introduction

This lessen provides an overview of the various types of climate data resources, and teaches what Essential Climate Variables are. It will indicate the main advantages and disadvantages of the various data sources.

Data Resources - Observations

This lesson provides training on observations data. The different types of measurements are explained, the types of observing systems and the measurement uncertainty are explained.

Data Resources - Reanalyses

This lesson teaches users the basics of climate reanalysis. The lesson explains how reanalyses are made, an overview of global reanalyses datasets, and their strengths and limitations.

Data Resources - Climate Models

This lesson explains how climate models work and how the quality of climate models can be evaluated. Differences between climate projections, predictions and scenarios are explained.

Bias Correction and Downscaling

This lesson teaches about downscaling and bias correction methods. An exercise for bias correction is included.

Using climate models for climate scenarios

This lesson teaches how to use climate models in the development of national climate scenarios. Examples are provided for The Netherlands, Switzerland and the U.K.

Uncertainty, Robustness and Confidence

This lesson teaches about sources of uncertainty in climate projections, what robust signals are, and when we can be confident in a change.

Climate Projections

This ‘hands-on’ lesson covers climate projections, differences between climate models, and how to choose from climate projection data.

Develop your own climate services case study

The aim of this lesson is to provide an introduction into Climate Services, and a seven step approach to develop a case study, illustrated with a practical example.

Sectoral Application – Agriculture

This lesson covers how climate change impacts the agriculture sector. Responses of different crop types to climate change is explained. Adaptation measures are introduced and how CDS data can be used for this. Examples are given from the SIS Global Agriculture.

Sectoral Application – Energy

This lesson covers how climate change will affect the energy sector. An overview is provided of energy-related data and indicators available from the CDS, with an explanation of how these can be used in applications.

Sectoral Application - Heat Health

In this lesson you will learn how to use the Climate Data Store (CDS) for applications in the health sector. The lesson focuses on urban heat. The lessons shows data and indicators from SIS-European Health.

Sectoral Application - Heat Health – Advanced

This lesson provides further background information about urban heat and health, in the context of CDS applications in the health sector.

Sectoral Application – Tourism

This lesson provides an introduction to C3S applications in the tourism sector. It identifies C3S data and tools useful for tourism stakeholders in supporting climate change adaptation.