@inproceedings{a945f625c3714190ac9b5ee5aa0e0343,
title = "Toward a multi-method approach: Lossy data compression for climate simulation data",
abstract = "Earth System Model (ESM) simulations are increasingly constrained by the amount of data that they generate rather than by computational resources. The use of lossy data compression on model output can reduce storage costs and data transmission overheads, but care must be taken to ensure that science results are not impacted. Choosing appropriate compression algorithms and parameters is not trivial given the diversity of data produced by ESMs and requires an understanding of both the attributes of the data and the properties of the chosen compression methods. Here we discuss the properties of two distinct approaches for lossy compression in the context of a well-known ESM, demonstrating the different strengths of each, to motivate the development of an automated multi-method approach for compression of climate model output.",
author = "Baker, \{Allison H.\} and Haiying Xu and Hammerling, \{Dorit M.\} and Shaomeng Li and Clyne, \{John P.\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 32nd International Conference on High Performance Computing, ISC High Performance 2017 ; Conference date: 18-06-2017 Through 22-06-2017",
year = "2017",
doi = "10.1007/978-3-319-67630-2\_3",
language = "English",
isbn = "9783319676296",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "30--42",
editor = "Rio Yokota and Kunkel, \{Julian M.\} and Michela Taufer and John Shalf",
booktitle = "High Performance Computing - ISC High Performance 2017 International Workshops, DRBSD, ExaComm, HCPM, HPC-IODC, IWOPH, IXPUG, P\textasciicircum{}3MA, VHPC, Visualization at Scale, WOPSSS, Revised Selected Papers",
address = "Germany",
}