WaveRange: wavelet-based data compression for three-dimensional numerical simulations on regular grids

@article{Kolomenskiy2022WaveRangeWD,
  title={WaveRange: wavelet-based data compression for three-dimensional numerical simulations on regular grids},
  author={Dmitry Kolomenskiy and Ryo Onishi and Hitoshi Uehara},
  journal={Journal of Visualization},
  year={2022},
  pages={1-31}
}
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. The novelty of this study is in its focus on assessing the impact of compression… 

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