GloMar Gridding

Library for performing Gridding as used by the GloMar datasets produced by the National Oceanography Centre.

Part of the NOC Surface Processes GloMar suite of libraries and datasets.

Installation

GloMarGridding is available on PyPI, as glomar_gridding:

pip install glomar_gridding

Or using uv:

uv add glomar_gridding

Development

Clone the repository

git clone https://github.com/NOCSurfaceProcesses/GloMarGridding.git /path/to/glomar_gridding

Create virtual environment and install dependencies.ernative to pip.

cd /path/to/glomar_gridding
python -m venv .venv  # create virtual environment
source .venv/bin/activate  # load virtual environment
make install  # install dependencies into the environment

Documentation

Documentation PDF can be found in the docs directory. Or here.

An example workflow can be found in the documentation PDF, or in the notebooks directory.

Citation

Cornes, R. C., S. C.Chan, A.Cable, et al. 2026. “GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications.” Geoscience Data Journal, 13 (2): e70064. https://doi.org/10.1002/gdj3.70064.

Acknowledgements

Supported by the Natural Environmental Research Council through National Capability funding (AtlantiS: NE/Y005589/1)