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Holocene global mean surface temperature, a multi-method reconstruction approach
An extensive new multi-proxy database of paleo-temperature time series (Temperature 12k) enables a more robust analysis of global mean surface temperature (GMST) and associated uncertainties than was previously available. We applied five different statistical methods to reconstruct the GMST of the p...
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/PMC7327079/ https://www.ncbi.nlm.nih.gov/pubmed/32606396 http://dx.doi.org/10.1038/s41597-020-0530-7 |
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author | Kaufman, Darrell McKay, Nicholas Routson, Cody Erb, Michael Dätwyler, Christoph Sommer, Philipp S. Heiri, Oliver Davis, Basil |
author_facet | Kaufman, Darrell McKay, Nicholas Routson, Cody Erb, Michael Dätwyler, Christoph Sommer, Philipp S. Heiri, Oliver Davis, Basil |
author_sort | Kaufman, Darrell |
collection | PubMed |
description | An extensive new multi-proxy database of paleo-temperature time series (Temperature 12k) enables a more robust analysis of global mean surface temperature (GMST) and associated uncertainties than was previously available. We applied five different statistical methods to reconstruct the GMST of the past 12,000 years (Holocene). Each method used different approaches to averaging the globally distributed time series and to characterizing various sources of uncertainty, including proxy temperature, chronology and methodological choices. The results were aggregated to generate a multi-method ensemble of plausible GMST and latitudinal-zone temperature reconstructions with a realistic range of uncertainties. The warmest 200-year-long interval took place around 6500 years ago when GMST was 0.7 °C (0.3, 1.8) warmer than the 19(th) Century (median, 5(th), 95(th) percentiles). Following the Holocene global thermal maximum, GMST cooled at an average rate −0.08 °C per 1000 years (−0.24, −0.05). The multi-method ensembles and the code used to generate them highlight the utility of the Temperature 12k database, and they are now available for future use by studies aimed at understanding Holocene evolution of the Earth system. |
format | Online Article Text |
id | pubmed-7327079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73270792020-07-06 Holocene global mean surface temperature, a multi-method reconstruction approach Kaufman, Darrell McKay, Nicholas Routson, Cody Erb, Michael Dätwyler, Christoph Sommer, Philipp S. Heiri, Oliver Davis, Basil Sci Data Analysis An extensive new multi-proxy database of paleo-temperature time series (Temperature 12k) enables a more robust analysis of global mean surface temperature (GMST) and associated uncertainties than was previously available. We applied five different statistical methods to reconstruct the GMST of the past 12,000 years (Holocene). Each method used different approaches to averaging the globally distributed time series and to characterizing various sources of uncertainty, including proxy temperature, chronology and methodological choices. The results were aggregated to generate a multi-method ensemble of plausible GMST and latitudinal-zone temperature reconstructions with a realistic range of uncertainties. The warmest 200-year-long interval took place around 6500 years ago when GMST was 0.7 °C (0.3, 1.8) warmer than the 19(th) Century (median, 5(th), 95(th) percentiles). Following the Holocene global thermal maximum, GMST cooled at an average rate −0.08 °C per 1000 years (−0.24, −0.05). The multi-method ensembles and the code used to generate them highlight the utility of the Temperature 12k database, and they are now available for future use by studies aimed at understanding Holocene evolution of the Earth system. Nature Publishing Group UK 2020-06-30 /pmc/articles/PMC7327079/ /pubmed/32606396 http://dx.doi.org/10.1038/s41597-020-0530-7 Text en © 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/. |
spellingShingle | Analysis Kaufman, Darrell McKay, Nicholas Routson, Cody Erb, Michael Dätwyler, Christoph Sommer, Philipp S. Heiri, Oliver Davis, Basil Holocene global mean surface temperature, a multi-method reconstruction approach |
title | Holocene global mean surface temperature, a multi-method reconstruction approach |
title_full | Holocene global mean surface temperature, a multi-method reconstruction approach |
title_fullStr | Holocene global mean surface temperature, a multi-method reconstruction approach |
title_full_unstemmed | Holocene global mean surface temperature, a multi-method reconstruction approach |
title_short | Holocene global mean surface temperature, a multi-method reconstruction approach |
title_sort | holocene global mean surface temperature, a multi-method reconstruction approach |
topic | Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327079/ https://www.ncbi.nlm.nih.gov/pubmed/32606396 http://dx.doi.org/10.1038/s41597-020-0530-7 |
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