Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 21
Articles | Volume 19, issue 21
https://doi.org/10.5194/gmd-19-10687-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-10687-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 21
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

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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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