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Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD
Increasingly, ecological modellers are integrating paleodata with future projections to understand climate-driven biodiversity dynamics from the past through the current century. Climate simulations from earth system models are necessary to this effort, but must be debiased and downscaled before the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932881/ https://www.ncbi.nlm.nih.gov/pubmed/27377537 http://dx.doi.org/10.1038/sdata.2016.48 |
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author | Lorenz, David J. Nieto-Lugilde, Diego Blois, Jessica L. Fitzpatrick, Matthew C. Williams, John W. |
author_facet | Lorenz, David J. Nieto-Lugilde, Diego Blois, Jessica L. Fitzpatrick, Matthew C. Williams, John W. |
author_sort | Lorenz, David J. |
collection | PubMed |
description | Increasingly, ecological modellers are integrating paleodata with future projections to understand climate-driven biodiversity dynamics from the past through the current century. Climate simulations from earth system models are necessary to this effort, but must be debiased and downscaled before they can be used by ecological models. Downscaling methods and observational baselines vary among researchers, which produces confounding biases among downscaled climate simulations. We present unified datasets of debiased and downscaled climate simulations for North America from 21 ka BP to 2100AD, at 0.5° spatial resolution. Temporal resolution is decadal averages of monthly data until 1950AD, average climates for 1950–2005 AD, and monthly data from 2010 to 2100AD, with decadal averages also provided. This downscaling includes two transient paleoclimatic simulations and 12 climate models for the IPCC AR5 (CMIP5) historical (1850–2005), RCP4.5, and RCP8.5 21st-century scenarios. Climate variables include primary variables and derived bioclimatic variables. These datasets provide a common set of climate simulations suitable for seamlessly modelling the effects of past and future climate change on species distributions and diversity. |
format | Online Article Text |
id | pubmed-4932881 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49328812016-07-08 Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD Lorenz, David J. Nieto-Lugilde, Diego Blois, Jessica L. Fitzpatrick, Matthew C. Williams, John W. Sci Data Data Descriptor Increasingly, ecological modellers are integrating paleodata with future projections to understand climate-driven biodiversity dynamics from the past through the current century. Climate simulations from earth system models are necessary to this effort, but must be debiased and downscaled before they can be used by ecological models. Downscaling methods and observational baselines vary among researchers, which produces confounding biases among downscaled climate simulations. We present unified datasets of debiased and downscaled climate simulations for North America from 21 ka BP to 2100AD, at 0.5° spatial resolution. Temporal resolution is decadal averages of monthly data until 1950AD, average climates for 1950–2005 AD, and monthly data from 2010 to 2100AD, with decadal averages also provided. This downscaling includes two transient paleoclimatic simulations and 12 climate models for the IPCC AR5 (CMIP5) historical (1850–2005), RCP4.5, and RCP8.5 21st-century scenarios. Climate variables include primary variables and derived bioclimatic variables. These datasets provide a common set of climate simulations suitable for seamlessly modelling the effects of past and future climate change on species distributions and diversity. Nature Publishing Group 2016-07-05 /pmc/articles/PMC4932881/ /pubmed/27377537 http://dx.doi.org/10.1038/sdata.2016.48 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Lorenz, David J. Nieto-Lugilde, Diego Blois, Jessica L. Fitzpatrick, Matthew C. Williams, John W. Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD |
title | Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD |
title_full | Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD |
title_fullStr | Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD |
title_full_unstemmed | Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD |
title_short | Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD |
title_sort | downscaled and debiased climate simulations for north america from 21,000 years ago to 2100ad |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932881/ https://www.ncbi.nlm.nih.gov/pubmed/27377537 http://dx.doi.org/10.1038/sdata.2016.48 |
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