A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years
We present a continuous land-based climate reconstruction dataset extending back 60 kyr from 0 BP (1950) at 0.5° resolution on a monthly timestep for 0°N to 90°N. It has been generated from 42 discrete snapshot simulations using the HadCM3B-M2.1 coupled general circulation model. We incorporate Dans...
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ftpubmed:oai:pubmedcentral.nih.gov:6838074 2023-05-15T16:29:11+02:00 A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years Armstrong, Edward Hopcroft, Peter O. Valdes, Paul J. 2019-11-07 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838074/ http://www.ncbi.nlm.nih.gov/pubmed/31700065 https://doi.org/10.1038/s41597-019-0277-1 en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838074/ http://www.ncbi.nlm.nih.gov/pubmed/31700065 http://dx.doi.org/10.1038/s41597-019-0277-1 © The Author(s) 2019 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 2019 ftpubmed https://doi.org/10.1038/s41597-019-0277-1 2019-11-17T01:28:20Z We present a continuous land-based climate reconstruction dataset extending back 60 kyr from 0 BP (1950) at 0.5° resolution on a monthly timestep for 0°N to 90°N. It has been generated from 42 discrete snapshot simulations using the HadCM3B-M2.1 coupled general circulation model. We incorporate Dansgaard-Oeschger (DO) and Heinrich events to represent millennial scale variability, based on a temperature reconstruction from Greenland ice-cores, with a spatial fingerprint based on a freshwater hosing simulation with HadCM3B-M2.1. Interannual variability is also added and derived from the initial snapshot simulations. Model output has been downscaled to 0.5° resolution (using simple bilinear interpolation) and bias corrected. Here we present surface air temperature, precipitation, incoming shortwave energy, minimum monthly temperature, snow depth, wind chill and number of rainy days per month. This is one of the first open access climate datasets of this kind and can be used to study the impact of millennial to orbital-scale climate change on terrestrial greenhouse gas cycling, northern extra-tropical vegetation, and megaflora and megafauna population dynamics. Text Greenland Greenland ice cores PubMed Central (PMC) Greenland Scientific Data 6 1 |
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Data Descriptor Armstrong, Edward Hopcroft, Peter O. Valdes, Paul J. A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years |
topic_facet |
Data Descriptor |
description |
We present a continuous land-based climate reconstruction dataset extending back 60 kyr from 0 BP (1950) at 0.5° resolution on a monthly timestep for 0°N to 90°N. It has been generated from 42 discrete snapshot simulations using the HadCM3B-M2.1 coupled general circulation model. We incorporate Dansgaard-Oeschger (DO) and Heinrich events to represent millennial scale variability, based on a temperature reconstruction from Greenland ice-cores, with a spatial fingerprint based on a freshwater hosing simulation with HadCM3B-M2.1. Interannual variability is also added and derived from the initial snapshot simulations. Model output has been downscaled to 0.5° resolution (using simple bilinear interpolation) and bias corrected. Here we present surface air temperature, precipitation, incoming shortwave energy, minimum monthly temperature, snow depth, wind chill and number of rainy days per month. This is one of the first open access climate datasets of this kind and can be used to study the impact of millennial to orbital-scale climate change on terrestrial greenhouse gas cycling, northern extra-tropical vegetation, and megaflora and megafauna population dynamics. |
format |
Text |
author |
Armstrong, Edward Hopcroft, Peter O. Valdes, Paul J. |
author_facet |
Armstrong, Edward Hopcroft, Peter O. Valdes, Paul J. |
author_sort |
Armstrong, Edward |
title |
A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years |
title_short |
A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years |
title_full |
A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years |
title_fullStr |
A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years |
title_full_unstemmed |
A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years |
title_sort |
simulated northern hemisphere terrestrial climate dataset for the past 60,000 years |
publisher |
Nature Publishing Group UK |
publishDate |
2019 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838074/ http://www.ncbi.nlm.nih.gov/pubmed/31700065 https://doi.org/10.1038/s41597-019-0277-1 |
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Greenland |
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Greenland Greenland ice cores |
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Greenland Greenland ice cores |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838074/ http://www.ncbi.nlm.nih.gov/pubmed/31700065 http://dx.doi.org/10.1038/s41597-019-0277-1 |
op_rights |
© The Author(s) 2019 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/s41597-019-0277-1 |
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