Tag - Copernicus | ECMWF eLearning

Develop your own climate services case study

An introduction into Climate Services, and a seven step approach to develop a case study, illustrated with a practical example.

Level: Fundamentals

Certification course: No

What you'll learn:

About adaption and mitigation strategies for climate change
What are climate services for adaption?
Seven steps to developing climate services
Example of an adaption case study

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Hide number of enrollments: No

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Climate

Climate Projections

About climate projections, differences between climate models, and how to choose from climate projection data.

Level: Fundamentals

Certification course: No

What you'll learn:

What climate projections are
How to choose climate models
Where to find climate projections in the Climate Data Store
How to choose climate projection data

Hide last updated info: No

Hide number of enrollments: No

Hide full description label: No

Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Climate

Bias Correction and Downscaling

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

Level: Fundamentals

Certification course: No

What you'll learn:

About biases in climate models
The principles of bias correction and downscaling
A simple bias correction exercise

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

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Category: Climate

Climate Data Discovery – Introduction

An introduction to the different sources of climate data and how to find them.

Level: Fundamentals

Certification course: No

What you'll learn:

The difference between weather and climate
Different sources of climate data, including observations, renalysis, model forecasts and sectoral products
How to find the data you need

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Hide number of enrollments: No

Hide full description label: No

Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Climate

Climate Data Discovery – Advanced

Learn about the various data sources, and strategies to find climate data: processing, choosing projections, scenarios, ensembles and variables.

Level: Others

Certification course: No

What you'll learn:

An overview of the climate data processing chain
Scenarios used in CMIP5 and CMIP6
Strategies for selecting climate models
Downscaling techniques
The importance of skill assessment
How Sectoral Information Systems provide climate data tailored to your needs
Similarities and differences between processing climate projections, and seasonal climate predictions.

Full description:

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”.

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Climate

Data Resources - Climate Models

Uncover how climate models work and how they can be evaluated. Differences between climate projections, predictions and scenarios are explained.

Level: Fundamentals

Certification course: No

What you'll learn:

About the different types climate model and how they work
Differences between climate projections, predictions and scenarios
Evaluating climate models
What are climate ensembles?
The use of climate model data

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Climate

Data Resources - Introduction

Learn about Essential Climate Variables, the different types of climate data resources, and their respective pros and cons.

Level: Fundamentals

Certification course: No

What you'll learn:

What Essential Climate Variables (ECVs) are
Types of climate data resources, including observations and models
Pros and cons of different data sources

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Hide number of enrollments: No

Hide full description label: No

Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Climate

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.

Level: Fundamentals

Certification course: No

What you'll learn:

What reanalysis is and how reanalyses are made
An overview of global reanalysis datasets
About ECMWF's ERA5 reanalysis data set and its strengths and weaknesses

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Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Climate

Data Resources - Observations

Explore the different types of measurements, the types of observing systems and their measurement uncertainty.

Level: Fundamentals

Certification course: No

What you'll learn:

Which different types of measurements exist, including direct and indirect observations
The various meteorological observing systems (remote sensing, land, sea, air, etc) and their representativeness
How to account for uncertainties and propagate errors

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Hide number of enrollments: No

Hide full description label: No

Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Climate

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.

Level: Others

Certification course: No

What you'll learn:

The differences between uncertainty, robustness and confidence
How model data can be used to define robust messages
When you can be confident about a climate change signal and when not

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Hide number of enrollments: No

Hide full description label: No

Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Climate

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.

Level: Fundamentals

Certification course: Yes

What you'll learn:

What climate change scenarios are and why we use them
How IPCC climate scenarios are developed
About national climate scenarios and why they exist
Steps for developing national, regional and local climate scenarios

Hide last updated info: No

Hide number of enrollments: No

Hide full description label: No

Atmospheric composition: No

Climate: No

Computing services and tools: No

Data applications: No

Forecasting: No

Machine learning: No

Numerical weather prediction: No

Click to enter this course

Category: Climate

Copernicus

Courses tagged with "Copernicus"