ICON Grid Generator

Pure Python generation of ICON-style triangular grids.

Global ICON grid resolutions

ICON Grid Generator creates spherical ICON R<n>B<k> grids, planar triangular grids, limited-area extracts, and ICON-style NetCDF files without depending on ICON model runtimes or stencil frameworks.

Quick Start

from grid_generator import generate_grid

grid = generate_grid("R2B4")
print(grid.name)
print(grid.dims)
grid.to_netcdf("icon_grid_R02B04.nc")

R02B04
{'cell': 20480, 'vertex': 10242, 'edge': 30720}

Global grids are optimized by default. Pass optimize_global=False only when raw bisection geometry is required for diagnostics or comparisons.

What You Can Generate

Global spherical ICON grids from standard R<n>B<k> names.
Planar triangular torus, channel, parallelogram, stretched, and ragged grids.
Limited-area grids extracted from generated global parents.
Region-based cuts of existing spherical or planar grids.
ICON-style NetCDF files and complete in-memory xarray datasets.
Geometry, topology, metric, refinement, diagnostic, and visualization data.

Installation

Python 3.10 or newer is required. Install the common NetCDF and xarray support from PyPI with:

python -m pip install "icon-grid-generator[netcdf,xarray]"

The base package depends only on NumPy and can instead be installed with python -m pip install icon-grid-generator.

Documentation

The complete documentation is published at ofuhrer.github.io/icon-grid-generator:

Development

See CONTRIBUTING.md for setup and contribution guidance. Run the complete local check with:

python -m pip install -e ".[test,docs,netcdf,xarray]"
make check

Citation

If you use ICON Grid Generator in published work, cite it using CITATION.cff.

License

ICON Grid Generator is distributed under the BSD 3-Clause License.

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