Articles | Volume 10, issue 1
https://doi.org/10.5194/gmd-10-413-2017
https://doi.org/10.5194/gmd-10-413-2017
Development and technical paper
 | 
27 Jan 2017
Development and technical paper |  | 27 Jan 2017

The compression–error trade-off for large gridded data sets

Jeremy D. Silver and Charles S. Zender

Viewed

Total article views: 4,062 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,860 967 235 4,062 368 238 240
  • HTML: 2,860
  • PDF: 967
  • XML: 235
  • Total: 4,062
  • Supplement: 368
  • BibTeX: 238
  • EndNote: 240
Views and downloads (calculated since 29 Jul 2016)
Cumulative views and downloads (calculated since 29 Jul 2016)

Cited

Latest update: 31 May 2025
Download
Short summary
Many modern scientific research projects generate large amounts of data. Storage space is valuable and may be limited; hence compression is vital. We tested different compression methods for large gridded data sets, assessing the space savings and the amount of precision lost. We found a general trade-off between precision and compression, with compression well-predicted by the entropy of the data set. A method introduced here proved to be a competitive archive format for gridded numerical data.
Share