Data Compression for Environmental Flow Simulations

Dmitry Kolomenskiy, Ryo Onishi, Hitoshi Uehara

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.