Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/109259
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Type: | Journal article |
Title: | A global multiproxy database for temperature reconstructions of the Common Era |
Author: | Emile-Geay, J. McKay, N. Kaufman, D. Von Gunten, L. Wang, J. Anchukaitis, K. Abram, N. Addison, J. Curran, M. Evans, M. Henley, B. Hao, Z. Martrat, B. McGregor, H. Neukom, R. Pederson, G. Stenni, B. Thirumalai, K. Werner, J. Xu, C. et al. |
Citation: | Scientific Data, 2017; 4(1):170088-1-170088-33 |
Publisher: | Nature Publishing Group |
Issue Date: | 2017 |
ISSN: | 2052-4463 2052-4463 |
Statement of Responsibility: | Julien Emile-Geay, Nicholas P. McKay, Darrell S. Kaufman, Lucien von Gunten, Jianghao Wang … Jonathan J. Tyler … et al. (PAGES2k Consortium) |
Abstract: | Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The records are from trees, ice, sediment, corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy time series are significantly correlated with HadCRUT4.2 surface temperature over the period 1850–2014. Global temperature composites show a remarkable degree of coherence between high- and low-resolution archives, with broadly similar patterns across archive types, terrestrial versus marine locations, and screening criteria. The database is suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python. |
Rights: | © The Author(s) 2017. 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 made available in this article. |
DOI: | 10.1038/sdata.2017.88 |
Published version: | http://dx.doi.org/10.1038/sdata.2017.88 |
Appears in Collections: | Aurora harvest 8 Physics publications |
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hdl_109259.pdf | Published version | 3.05 MB | Adobe PDF | View/Open |
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