Abstract
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 on post-processing and restart of numerical simulations. Graphical abstract: [Figure not available: see fulltext.]
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Kolomenskiy, D., Onishi, R., & Uehara, H. (2022). WaveRange: wavelet-based data compression for three-dimensional numerical simulations on regular grids. Journal of Visualization, 25(3), 543–573. https://doi.org/10.1007/s12650-021-00813-8
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