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The global historical climate database HCLIM
There is a growing need for past weather and climate data to support science and decision-making. This paper describes the compilation and construction of a global multivariable (air temperature, pressure, precipitation sum, number of precipitation days) monthly instrumental climate database that en...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851593/ https://www.ncbi.nlm.nih.gov/pubmed/36658229 http://dx.doi.org/10.1038/s41597-022-01919-w |
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author | Lundstad, Elin Brugnara, Yuri Pappert, Duncan Kopp, Jérôme Samakinwa, Eric Hürzeler, André Andersson, Axel Chimani, Barbara Cornes, Richard Demarée, Gaston Filipiak, Janusz Gates, Lydia Ives, Gemma L. Jones, Julie M. Jourdain, Sylvie Kiss, Andrea Nicholson, Sharon E. Przybylak, Rajmund Jones, Philip Rousseau, Daniel Tinz, Birger Rodrigo, Fernando S. Grab, Stefan Domínguez-Castro, Fernando Slonosky, Victoria Cooper, Jason Brunet, Manola Brönnimann, Stefan |
author_facet | Lundstad, Elin Brugnara, Yuri Pappert, Duncan Kopp, Jérôme Samakinwa, Eric Hürzeler, André Andersson, Axel Chimani, Barbara Cornes, Richard Demarée, Gaston Filipiak, Janusz Gates, Lydia Ives, Gemma L. Jones, Julie M. Jourdain, Sylvie Kiss, Andrea Nicholson, Sharon E. Przybylak, Rajmund Jones, Philip Rousseau, Daniel Tinz, Birger Rodrigo, Fernando S. Grab, Stefan Domínguez-Castro, Fernando Slonosky, Victoria Cooper, Jason Brunet, Manola Brönnimann, Stefan |
author_sort | Lundstad, Elin |
collection | PubMed |
description | There is a growing need for past weather and climate data to support science and decision-making. This paper describes the compilation and construction of a global multivariable (air temperature, pressure, precipitation sum, number of precipitation days) monthly instrumental climate database that encompasses a substantial body of the known early instrumental time series. The dataset contains series compiled from existing databases that start before 1890 (though continuing to the present) as well as a large amount of newly rescued data. All series underwent a quality control procedure and subdaily series were processed to monthly mean values. An inventory was compiled, and the collection was deduplicated based on coordinates and mutual correlations. The data are provided in a common format accompanied by the inventory. The collection totals 12452 meteorological records in 118 countries. The data can be used for climate reconstructions and analyses. It is the most comprehensive global monthly climate dataset for the preindustrial period so far. |
format | Online Article Text |
id | pubmed-9851593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98515932023-01-20 The global historical climate database HCLIM Lundstad, Elin Brugnara, Yuri Pappert, Duncan Kopp, Jérôme Samakinwa, Eric Hürzeler, André Andersson, Axel Chimani, Barbara Cornes, Richard Demarée, Gaston Filipiak, Janusz Gates, Lydia Ives, Gemma L. Jones, Julie M. Jourdain, Sylvie Kiss, Andrea Nicholson, Sharon E. Przybylak, Rajmund Jones, Philip Rousseau, Daniel Tinz, Birger Rodrigo, Fernando S. Grab, Stefan Domínguez-Castro, Fernando Slonosky, Victoria Cooper, Jason Brunet, Manola Brönnimann, Stefan Sci Data Data Descriptor There is a growing need for past weather and climate data to support science and decision-making. This paper describes the compilation and construction of a global multivariable (air temperature, pressure, precipitation sum, number of precipitation days) monthly instrumental climate database that encompasses a substantial body of the known early instrumental time series. The dataset contains series compiled from existing databases that start before 1890 (though continuing to the present) as well as a large amount of newly rescued data. All series underwent a quality control procedure and subdaily series were processed to monthly mean values. An inventory was compiled, and the collection was deduplicated based on coordinates and mutual correlations. The data are provided in a common format accompanied by the inventory. The collection totals 12452 meteorological records in 118 countries. The data can be used for climate reconstructions and analyses. It is the most comprehensive global monthly climate dataset for the preindustrial period so far. Nature Publishing Group UK 2023-01-19 /pmc/articles/PMC9851593/ /pubmed/36658229 http://dx.doi.org/10.1038/s41597-022-01919-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Lundstad, Elin Brugnara, Yuri Pappert, Duncan Kopp, Jérôme Samakinwa, Eric Hürzeler, André Andersson, Axel Chimani, Barbara Cornes, Richard Demarée, Gaston Filipiak, Janusz Gates, Lydia Ives, Gemma L. Jones, Julie M. Jourdain, Sylvie Kiss, Andrea Nicholson, Sharon E. Przybylak, Rajmund Jones, Philip Rousseau, Daniel Tinz, Birger Rodrigo, Fernando S. Grab, Stefan Domínguez-Castro, Fernando Slonosky, Victoria Cooper, Jason Brunet, Manola Brönnimann, Stefan The global historical climate database HCLIM |
title | The global historical climate database HCLIM |
title_full | The global historical climate database HCLIM |
title_fullStr | The global historical climate database HCLIM |
title_full_unstemmed | The global historical climate database HCLIM |
title_short | The global historical climate database HCLIM |
title_sort | global historical climate database hclim |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851593/ https://www.ncbi.nlm.nih.gov/pubmed/36658229 http://dx.doi.org/10.1038/s41597-022-01919-w |
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