Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset
CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except Antarctica. It is derived by the interpolation of monthly climate anomalies from extensive networks of weather station observations...
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ftpubmed:oai:pubmedcentral.nih.gov:7125108 2023-05-15T13:47:07+02:00 Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset Harris, Ian Osborn, Timothy J. Jones, Phil Lister, David 2020-04-03 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125108/ http://www.ncbi.nlm.nih.gov/pubmed/32246091 https://doi.org/10.1038/s41597-020-0453-3 en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125108/ http://www.ncbi.nlm.nih.gov/pubmed/32246091 http://dx.doi.org/10.1038/s41597-020-0453-3 © The Author(s) 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. CC0 PDM CC-BY Data Descriptor Text 2020 ftpubmed https://doi.org/10.1038/s41597-020-0453-3 2020-04-19T00:18:42Z CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except Antarctica. It is derived by the interpolation of monthly climate anomalies from extensive networks of weather station observations. Here we describe the construction of a major new version, CRU TS v4. It is updated to span 1901–2018 by the inclusion of additional station observations, and it will be updated annually. The interpolation process has been changed to use angular-distance weighting (ADW), and the production of secondary variables has been revised to better suit this approach. This implementation of ADW provides improved traceability between each gridded value and the input observations, and allows more informative diagnostics that dataset users can utilise to assess how dataset quality might vary geographically. Text Antarc* Antarctica PubMed Central (PMC) Scientific Data 7 1 |
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Data Descriptor Harris, Ian Osborn, Timothy J. Jones, Phil Lister, David Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset |
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Data Descriptor |
description |
CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except Antarctica. It is derived by the interpolation of monthly climate anomalies from extensive networks of weather station observations. Here we describe the construction of a major new version, CRU TS v4. It is updated to span 1901–2018 by the inclusion of additional station observations, and it will be updated annually. The interpolation process has been changed to use angular-distance weighting (ADW), and the production of secondary variables has been revised to better suit this approach. This implementation of ADW provides improved traceability between each gridded value and the input observations, and allows more informative diagnostics that dataset users can utilise to assess how dataset quality might vary geographically. |
format |
Text |
author |
Harris, Ian Osborn, Timothy J. Jones, Phil Lister, David |
author_facet |
Harris, Ian Osborn, Timothy J. Jones, Phil Lister, David |
author_sort |
Harris, Ian |
title |
Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset |
title_short |
Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset |
title_full |
Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset |
title_fullStr |
Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset |
title_full_unstemmed |
Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset |
title_sort |
version 4 of the cru ts monthly high-resolution gridded multivariate climate dataset |
publisher |
Nature Publishing Group UK |
publishDate |
2020 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125108/ http://www.ncbi.nlm.nih.gov/pubmed/32246091 https://doi.org/10.1038/s41597-020-0453-3 |
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Antarc* Antarctica |
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Antarc* Antarctica |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125108/ http://www.ncbi.nlm.nih.gov/pubmed/32246091 http://dx.doi.org/10.1038/s41597-020-0453-3 |
op_rights |
© The Author(s) 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. |
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CC0 PDM CC-BY |
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https://doi.org/10.1038/s41597-020-0453-3 |
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