Copernicus Climate Data Store Examples

We here provide examples for loading and preprocessing data from the Copernicus Climate Data Store (CDS) for application in city governments. All examples are tailored for the city of Constance. The work is part of the CoKLIMAx project and the Smart Green City Konstanz program.

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The notebooks and scripts require a few Python dependencies. We list them in pyproject.toml. We develop and test on Python 3.12 with the specific package versions listed in requirements.txt.

We recommend installing the dependencies into a virtual environment. E.g. on a typical Linux setup you can do the following in the project root directory.

python -m venv venv
venv/bin/pip install --upgrade pip
venv/bin/pip install -r requirements.txt
venv/bin/jupyter-notebook

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Examples

Each notebook/script provides usage examples for one CDS dataset.

Heat Wave Days:

• CDS dataset
• Notebook
• CSV Output (Germany)

Satellite Lake Water Temperature:

• CDS dataset
• Notebook
• CSV Output (Bodensee)

Climate indicators for Europe from 1940 to 2100:

• CDS dataset
• Script
• Additional system dependency: CDO
• CSV Output

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License

We distribute our work under the MIT license. We provide the full license terms in the LICENSE file.