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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.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Graphical abstract<\/jats:title>\n                \n              <\/jats:sec>","DOI":"10.1007\/s12650-021-00813-8","type":"journal-article","created":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T07:16:29Z","timestamp":1641021389000},"page":"543-573","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["WaveRange: wavelet-based data compression for three-dimensional numerical simulations on regular grids"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0107-6894","authenticated-orcid":false,"given":"Dmitry","family":"Kolomenskiy","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9250-0712","authenticated-orcid":false,"given":"Ryo","family":"Onishi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1899-494X","authenticated-orcid":false,"given":"Hitoshi","family":"Uehara","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,1]]},"reference":[{"issue":"12","key":"813_CR1","doi-asserted-by":"publisher","first-page":"4381","DOI":"10.5194\/gmd-9-4381-2016","volume":"9","author":"AH Baker","year":"2016","unstructured":"Baker AH, Hammerling DM, Mickelson SA, Xu H, Stolpe MB, Naveau P, Sanderson B, Ebert-Uphoff I, Samarasinghe S, De Simone F, Carbone F, Gencarelli CN, Dennis JM, Kay JE, Lindstrom P (2016) Evaluating lossy data compression on climate simulation data within a large ensemble. 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