Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Volume 9, issue 12
Geosci. Model Dev., 9, 4381-4403, 2016
https://doi.org/10.5194/gmd-9-4381-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 4381-4403, 2016
https://doi.org/10.5194/gmd-9-4381-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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.
Data sets

CESM Models and Supported Releases CESM http://www.cesm.ucar.edu/models/current.html

Climate Data at the National Center for Atmospheric Research Earth System Grid https://www.earthsystemgrid.org

CESM-LE data Large Ensemble Community Project http://www.cesm.ucar.edu/projects/community-projects/LENS/

Floating Point Compression zfp & fpzip http://computation.llnl.gov/projects/floating-point-compression

Publications Copernicus
Download
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.
We apply lossy data compression to output from the Community Earth System Model Large Ensemble...
Citation
Share