A wavelet-based method for compression of fluid flow simulation data is presented, inspired by image processing. 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 urban and global-scale weather simulation.
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