A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Elsevier BV
2022
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Online Access: | https://hdl.handle.net/1721.1/139636 |
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author | Wan, Zhong Yi Dodov, Boyko Lessig, Christian Dijkstra, Henk Sapsis, Themistoklis P |
author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Wan, Zhong Yi Dodov, Boyko Lessig, Christian Dijkstra, Henk Sapsis, Themistoklis P |
author_sort | Wan, Zhong Yi |
collection | MIT |
first_indexed | 2024-09-23T14:49:53Z |
format | Article |
id | mit-1721.1/139636 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T14:49:53Z |
publishDate | 2022 |
publisher | Elsevier BV |
record_format | dspace |
spelling | mit-1721.1/1396362023-10-02T04:41:10Z A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets Wan, Zhong Yi Dodov, Boyko Lessig, Christian Dijkstra, Henk Sapsis, Themistoklis P Massachusetts Institute of Technology. Department of Mechanical Engineering 2022-01-20T14:51:33Z 2022-01-20T14:51:33Z 2021 2022-01-20T14:47:25Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/139636 Wan, Zhong Yi, Dodov, Boyko, Lessig, Christian, Dijkstra, Henk and Sapsis, Themistoklis P. 2021. "A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets." Journal of Computational Physics, 442. en 10.1016/J.JCP.2021.110484 Journal of Computational Physics Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV MIT web domain |
spellingShingle | Wan, Zhong Yi Dodov, Boyko Lessig, Christian Dijkstra, Henk Sapsis, Themistoklis P A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets |
title | A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets |
title_full | A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets |
title_fullStr | A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets |
title_full_unstemmed | A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets |
title_short | A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets |
title_sort | data driven framework for the stochastic reconstruction of small scale features with application to climate data sets |
url | https://hdl.handle.net/1721.1/139636 |
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