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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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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.
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Beirlant, J., Goegebeur, Y., Segers, J., and Teugels, J.: Statistics of Extremes: Theory and Applications, Wiley Series in Probability and Statistics, Hoboken, USA, 2004.
Bicer, T., Yin, J., Chiu, D., Agrawal, G., and Schuchardt, K.: Integrating online compression to accelerate large-scale data analytics applications. IEEE International Symposium on Parallel and Distributed Processing (IPDPS), 20–24 May 2013, Boston, Massachusetts, USA, 1205–1216, https://doi.org/10.1109/IPDPS.2013.81, 2013.
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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...
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