Articles | Volume 9, issue 12
Geosci. Model Dev., 9, 4381–4403, 2016
https://doi.org/10.5194/gmd-9-4381-2016
Geosci. Model Dev., 9, 4381–4403, 2016
https://doi.org/10.5194/gmd-9-4381-2016

Development and technical paper 07 Dec 2016

Development and technical paper | 07 Dec 2016

Evaluating lossy data compression on climate simulation data within a large ensemble

Allison H. Baker et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Allison H. Baker on behalf of the Authors (21 Oct 2016)  Author's response    Manuscript
ED: Publish as is (07 Nov 2016) by James Annan
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Short summary
We apply lossy data compression to output from the Community Earth System Model Large Ensemble Community Project. We challenge climate scientists to examine features of the data relevant to their interests and identify which of the ensemble members have been compressed, and we perform direct comparisons on features critical to climate science. We find that applying lossy data compression to climate model data effectively reduces data volumes with minimal effect on scientific results.