National Oceanography Centre library for performing gridding.
Project description
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. We recommend using
uv for python as an alternative to pip.
cd /path/to/glomar_gridding
uv sync --all-extras --python 3.11 # Install dependencies, recommended python version
pip instructions
For development:
cd /path/to/glomar_gridding
python -m venv .venv
source .venv/bin/activate
pip install -e .
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
Richard C. Cornes, Steven. C. Chan, Archie Cable et al. GloMarGridding: A Python Package for Spatial Interpolation to Support Structural Uncertainty Assessment of Climate Datasets, 22 August 2025, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-7427869/v1
Acknowledgements
Supported by the Natural Environmental Research Council through National Capability funding (AtlantiS: NE/Y005589/1)
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