OGD Model Data Access & Processing

Jupyter Notebook Examples Using MeteoSwiss NWP Data

            

This repository provides Jupyter notebook examples for accessing and processing numerical weather prediction (NWP) model data from MeteoSwiss, released through Switzerland’s Open Government Data (OGD) initiative.

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📓 Example Notebooks

• 01_retrieve_process_precip.ipynb - Retrieve, process, and visualize ensemble precipitation forecasts from the ICON model.

🚀 Getting Started

Install Dependencies

Clone the repository and install all required packages using:

1. Install ecCodes using conda

   bash install_eccodes.sh

2. Install Python dependencies using Poetry

   poetry install

3. Install the Jupyter kernel
   Activate the Poetry environment and install the current environment as a Jupyter kernel:

   poetry shell
   poetry run python -m ipykernel install --user --name=notebooks-nwp-env --display-name "Python (notebooks-nwp-env)"

4. Use the Kernel in Jupyter
   After launching Jupyter, select the custom kernel by navigating to Kernel → Change Kernel → Python (notebooks-nwp-env) in the notebook interface.

📚 Related Documentation

For more context on the available numerical weather forecast data and how it’s structured, see:

🔗 MeteoSwiss Forecast Data Documentation

💬 Feedbacks

Feel free to open issues to suggest improvements or contribute new examples!