WaveRange: Wavelet-based data compression for three-dimensional numerical simulations on regular grids
Computational Physics
2022-01-06 v2 Distributed, Parallel, and Cluster Computing
Atmospheric and Oceanic Physics
Fluid Dynamics
Abstract
A wavelet-based method for compression of three-dimensional simulation data is presented and its software framework is described. It uses wavelet decomposition and subsequent range coding with quantization suitable for floating-point data. The effectiveness of this method is demonstrated by applying it to example numerical tests, ranging from idealized configurations to realistic global-scale simulations.
Cite
@article{arxiv.1810.04822,
title = {WaveRange: Wavelet-based data compression for three-dimensional numerical simulations on regular grids},
author = {Dmitry Kolomenskiy and Ryo Onishi and Hitoshi Uehara},
journal= {arXiv preprint arXiv:1810.04822},
year = {2022}
}