Articles | Volume 19, issue 21
https://doi.org/10.5194/gmd-19-10687-2026
https://doi.org/10.5194/gmd-19-10687-2026
Methods for assessment of models
 | 
10 Nov 2026
Methods for assessment of models |  | 10 Nov 2026

New insights on the suitability of NetCDF/HDF5 as storage format for climate cloud repositories

Ezequiel Cimadevilla, David Hassell, and Bryan N. Lawrence

Model code and software

cmip7repack: Repack CMIP7 netCDF-4 datasets David Hassell and Ezequiel Cimadevilla https://doi.org/10.5281/zenodo.17550919

New insights NetCDF (data and software) Ezequiel Cimadevilla https://doi.org/10.5281/ZENODO.19677471

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Short summary
Climate science is increasingly adopting cloud-based infrastructures for data access and analysis. Contrary to the widespread belief that traditional formats such as NetCDF/HDF5 are unsuitable for remote cloud access, this study demonstrates that they can perform efficiently in cloud environments. These findings challenge current assumptions and provide practical insights that could support CMIP7 data workflows while reducing the need for major changes to existing climate data infrastructures.
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