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d4science_copernicus_notebooks

d4science_copernicus_notebooks is the repository of tutorial notebooks officially designed to help users work with the Copernicus Climate Data Store (CDS), adapted to be executed within the D4Science infrastructure.

The notebooks have been updated to work with the new Copernicus data format, integrated with the d4science_copernicus_cds library, and adapted to the D4Science environment.

For more information, visit the Copernicus Training C3S.

Version

v.1.0.0

Installation

Locally clone the repository and copy them in your JupyterLab instance.

Built With

Documentation

The original tutorial notebooks are available on Copernicus Training C3S.

These notebooks have been fixed (the official ones do not work with the new Copernicus data format), integrated with the d4science_copernicus_cds library, and adapted to the D4Science infrastructure.

Testing in D4Science JupyterLab

To test the notebooks in the D4Science JupyterLab environment, follow these steps:

  1. Access D4Science JupyterLab

    • Log in to the D4Science portal with your credentials.
    • Navigate to the JupyterLab section.
    • If existing, select the specific VM for Copernicus to have the dependencies pre-installed.

  2. Upload Notebooks

    • Upload the tutorial notebooks to your JupyterLab workspace.

  3. Install Required Libraries

    • If not using the specific VM, open a terminal within JupyterLab.
    • Install the required libraries by running: 
      pip install -r requirements_tutorial.txt

  4. Configure CDS API Key

    • Open and run the config_auth_cds.ipynb notebook.
    • Follow the instructions to configure your CDS API key.

  5. Run the Notebooks

    • Open the tutorial notebooks in JupyterLab.
    • Execute the cells to run the tutorials.

Alternatively, you can execute the following command inside a notebook to install the required libraries:

!pip install -r requirements_tutorial.txt

Testing Locally on Visual Studio Code

To test the notebooks locally on Visual Studio Code, follow these steps:

  1. Install Visual Studio Code

    • Download and install Visual Studio Code from here.

  2. Install Necessary Extensions for Notebooks

    • Open Visual Studio Code.
    • Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side of the window or by pressing Ctrl+Shift+X.
    • Search for and install the following extensions:
      • Python
      • Jupyter

  3. Create and Activate a Virtual Environment

    • Open a terminal in Visual Studio Code by selecting Terminal > New Terminal from the top menu.
    • Create a virtual environment by running: 
      python -m venv venv
    • Activate the virtual environment:
      • On Windows: 
        .\venv\Scripts\activate
      • On macOS and Linux: 
        source venv/bin/activate

  4. Install Requirements

  5. Register on Copernicus Climate Data Store

  6. Open and Run config_auth_cds.ipynb

    • In Visual Studio Code, open and exec the config_auth_cds.ipynb notebook.
    • Follow the instructions in the notebook to configure your CDS API key.

  7. Run the Tutorial Notebooks

    • Open the tutorial notebooks in Visual Studio Code.
    • Run the cells in each notebook to execute the tutorials.

Change log

See CHANGELOG.md

Authors

Maintainers

License

This project is licensed under the EUPL V.1.1 License - see the LICENSE.md file for details.

About the gCube Framework

This software is part of the gCubeFramework: an open-source software toolkit used for building and operating Hybrid Data Infrastructures enabling the dynamic deployment of Virtual Research Environments by favouring the realisation of reuse oriented policies.

The projects leading to this software have received funding from a series of European Union programmes see FUNDING.md