Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 13
Articles | Volume 19, issue 13
https://doi.org/10.5194/gmd-19-5933-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-5933-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 13
Development and technical paper
 | 
07 Jul 2026
Development and technical paper |  | 07 Jul 2026

ClimateBenchPress (v1.0): a benchmark for lossy compression of climate data

Tim Reichelt, Juniper Tyree, Milan Klöwer, Peter Dueben, Bryan N. Lawrence, Allison H. Baker, Sara Faghih-Naini, Torsten Hoefler, and Philip Stier

Viewed

Total article views: 6,920 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,838 2,857 225 6,920 321 417
  • HTML: 3,838
  • PDF: 2,857
  • XML: 225
  • Total: 6,920
  • BibTeX: 321
  • EndNote: 417
Views and downloads (calculated since 09 Feb 2026)
Cumulative views and downloads (calculated since 09 Feb 2026)

Viewed (geographical distribution)

Total article views: 6,920 (including HTML, PDF, and XML) Thereof 6,802 with geography defined and 118 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 20 Oct 2026
Download
Short summary
The growing size of datasets used in climate science makes it difficult to store, analyze, and distribute dataset. Lossy compression algorithms can significantly reduce the disk space required to store datasets, but it can be difficult to understand and compare the behavior of different compression algorithms. ClimateBenchPress provides a benchmark to standardize comparisons between lossy compression algorithms and guide development of novel algorithms specifically targeted towards climate data.
Read more
Share