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References
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GS Data Standard & GSPy
~~~~~~~~~~~~~~~~~~~~~~~

James, S. R., Foks, N.L., and Minsley, B. J. (2022). GSPy: A new toolbox and data standard for Geophysical Datasets. Frontiers in Earth Science. 10. https://doi.org/10.3389/feart.2022.907614

Foks, N.L., James, S. R., and Minsley, B. J. (2022). GSPy: Geophysical Data Standard in Python. U.S. Geological Survey software release. https://doi.org/10.5066/P9XNQVGQ

netCDF
~~~~~~

NSF Unidata. 2025. Network Common Data Form (netCDF) version 4.9.3. Boulder, CO: UCAR / NSF Unidata Program Center. https://doi.org/https://doi.org/10.5065/D6H70CW6

NSF Unidata. 2025. NetCDF User’s Guide (NUG) (4.9.3). Boulder, CO: UCAR / NSF Unidata Program Center. https://doi.org/https://doi.org/10.26024/nw73-vm64


Climate & Forecasts (CF) metadata Conventions
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

CF Website: https://cfconventions.org/

Eaton, B., Gregory, J., Drach, B., Taylor, K., Hankin, S. et al. (2025). NetCDF Climate and Forecast (CF) Metadata Conventions (1.13). CF Community. https://doi.org/10.5281/zenodo.17801666

Xarray
~~~~~~

We recommend visiting Xarray's `User Guide <https://docs.xarray.dev/en/stable/user-guide/index.html>`_, in particular the section on `Data Structures <https://docs.xarray.dev/en/stable/user-guide/data-structures.html>`_ may be helpful.

Hoyer, S. & Hamman, J., (2017). xarray: N-D labeled Arrays and Datasets in Python. Journal of Open Research Software. 5(1), p.10. DOI: https://doi.org/10.5334/jors.148