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
Funder
Ministry of Education, Culture, Sports, Science and Technology
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Condensed Matter Physics
Cited by
1 articles.
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