Beschreibung

Contents

We will cover the following topics:

• Where to find climate model information
• netCDF data format
• Basic types of atmospheric, ocean, land and sea ice data
• Validation of model data
• Ways to extract weather and climate information for particular regions and times in past and the future

Course on GitHub: https://github.com/koldunovn/DT_model_data

Outcomes

Basic understanding of strengths and weaknesses of data from Earth System models. Information on what kinds of data on weather and climate are available, how to get it and extract and post-process it.

Prior knowledge

Some exercises will require a degree of familiarity with the Python programming language. Some specific extension packages will be used but prior knowledge of these will not be assumed. Basic experience with programming on any language would be an advantage.

Technical requirements

Own computer with modern web browser; WiFi: Access to eduroam

A software environment will be provided via the online tool Jupyther Hub; for local installation, participants will receive installation instructions prior to the workshop

Further reading

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Technical requirements

Own computer with modern web browser; WiFi: Access to eduroam

A software environment will be provided via the online tool Jupyther Hub; for local installation, participants will receive installation instructions prior to the workshop

Programm/Ablauf