In this paper, we examine the effects of three lossy compression methods (GRIB2 encoding, GRIB2 using JPEG2000 and LZMA, and the commercial Samplify APAX al-.
We find that applying lossy data compression to climate model data effectively reduces data volumes with minimal effect on scientific results.
In this paper, we examine the effects of three lossy compression methods (GRIB2 encoding, GRIB2 using JPEG 2000 and LZMA, and the commercial Samplify APAX ...
In this paper, we examine the effects of three lossy compression methods (GRIB2 encoding, GRIB2 using JPEG2000 and LZMA, and the commercial Samplify APAX al-.
By providing climate scientists with access to data that had undergone lossy compression, we received valuable feedback and insights into the practicalities of ...
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A statistical analysis of lossily compressed climate model data
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The effects of lossy compression are routinely evaluated with simple metrics such as root mean squared error or maximum pointwise error.
In this paper, we examine the effects of three lossy compression methods (GRIB2 encoding, GRIB2 using JPEG 2000 and LZMA, and the commercial Samplify APAX ...
Dec 7, 2016 · In particular, we report on the results of a lossy data compression experiment with output from the CESM Large Ensemble (CESM-LE) Community ...
Dec 7, 2016 · A. H. Baker et al.: Evaluating lossy data compression on climate simulation data sor speeds over the last 25 years, the cost of storing huge ...
Evaluating Lossy Compression on Climate Data | Request PDF
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A lossy compression method using discrete wavelet transform (DWT) for large-scale flow field data about O(109) mesh points has been developed. Flow field data ...