Python tool kit for ICON (Icosahedral Nonhydrostatic) Model.

The library consists of multiple classes:

• ICONGrid: for time and variable independent grid information and external parameters
• ICONInitGrid: for initial conditions
• ICONDataGrid: for actual model outputs (full grid or data points)
• ICONCell: for single cell
• ICONMeteogram: for meteogram output files

Refer to the notebooks in the Examples folder to learn how to use the library.

How to install ICONProcessor into Python environment:

pip install git+https://github.com/ClimLabTools/ICONProcessor.git

How to create your own kernel for Jupyterlab incl. the ICONProcessor (e.g. at Levante):

conda create -n icon_proc -c conda-forge ipykernel python=3.11
source activate icon_proc
pip install git+https://github.com/ClimLabTools/ICONProcessor.git
python -m ipykernel install --user --name icon_proc_kernel --display-name="ICONProcessor"

Find more details at the DKRZ help page: https://docs.dkrz.de/doc/software&services/jupyterhub/kernels.html