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A consistent Great Lakes ice cover digital data set for winters 1973–2019
Ice formation and loss in the Laurentian Great Lakes has a strong impact on regional climate, weather, economy and ecology in North America. To record the ice changes during the winter season, Great Lakes ice cover data has been collected and maintained since 1973 by Canadian Ice Service, U.S. Natio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410840/ https://www.ncbi.nlm.nih.gov/pubmed/32764683 http://dx.doi.org/10.1038/s41597-020-00603-1 |
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author | Yang, Ting-Yi Kessler, James Mason, Lacey Chu, Philip Y. Wang, Jia |
author_facet | Yang, Ting-Yi Kessler, James Mason, Lacey Chu, Philip Y. Wang, Jia |
author_sort | Yang, Ting-Yi |
collection | PubMed |
description | Ice formation and loss in the Laurentian Great Lakes has a strong impact on regional climate, weather, economy and ecology in North America. To record the ice changes during the winter season, Great Lakes ice cover data has been collected and maintained since 1973 by Canadian Ice Service, U.S. National Ice Center, and National Oceanic and Atmospheric Administration’s Great Lakes Environmental Research Laboratory. Throughout this long history, technology has improved and the needs of users have evolved, so Great Lakes ice cover datasets have been upgraded several times in both spatial and temporal resolutions. In order to make those long-term data consistent and accessible, we reprocessed the Great Lakes ice cover database to generate daily gridded data (1.8 km resolution) using a re-project method with Nearest Neighbor Search for spatial interpolation, and linear interpolation with categorization for temporal interpolation. This report elucidates data history, generation procedures, and file structure in order to improve access and usability of Great Lakes ice cover data. |
format | Online Article Text |
id | pubmed-7410840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74108402020-08-13 A consistent Great Lakes ice cover digital data set for winters 1973–2019 Yang, Ting-Yi Kessler, James Mason, Lacey Chu, Philip Y. Wang, Jia Sci Data Data Descriptor Ice formation and loss in the Laurentian Great Lakes has a strong impact on regional climate, weather, economy and ecology in North America. To record the ice changes during the winter season, Great Lakes ice cover data has been collected and maintained since 1973 by Canadian Ice Service, U.S. National Ice Center, and National Oceanic and Atmospheric Administration’s Great Lakes Environmental Research Laboratory. Throughout this long history, technology has improved and the needs of users have evolved, so Great Lakes ice cover datasets have been upgraded several times in both spatial and temporal resolutions. In order to make those long-term data consistent and accessible, we reprocessed the Great Lakes ice cover database to generate daily gridded data (1.8 km resolution) using a re-project method with Nearest Neighbor Search for spatial interpolation, and linear interpolation with categorization for temporal interpolation. This report elucidates data history, generation procedures, and file structure in order to improve access and usability of Great Lakes ice cover data. Nature Publishing Group UK 2020-08-06 /pmc/articles/PMC7410840/ /pubmed/32764683 http://dx.doi.org/10.1038/s41597-020-00603-1 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Yang, Ting-Yi Kessler, James Mason, Lacey Chu, Philip Y. Wang, Jia A consistent Great Lakes ice cover digital data set for winters 1973–2019 |
title | A consistent Great Lakes ice cover digital data set for winters 1973–2019 |
title_full | A consistent Great Lakes ice cover digital data set for winters 1973–2019 |
title_fullStr | A consistent Great Lakes ice cover digital data set for winters 1973–2019 |
title_full_unstemmed | A consistent Great Lakes ice cover digital data set for winters 1973–2019 |
title_short | A consistent Great Lakes ice cover digital data set for winters 1973–2019 |
title_sort | consistent great lakes ice cover digital data set for winters 1973–2019 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410840/ https://www.ncbi.nlm.nih.gov/pubmed/32764683 http://dx.doi.org/10.1038/s41597-020-00603-1 |
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