A global multiproxy database for temperature reconstructions of the Common Era
Author
Emile-Geay, JulienMcKay, Nicholas P.
Kaufman, Darrell S.
von Gunten, Lucien
Wang, Jianghao
Anchukaitis, Kevin J.
Abram, Nerilie J.
Addison, Jason A.
Curran, Mark A.J.
Evans, Michael N.
Henley, Benjamin J.
Hao, Zhixin
Martrat, Belen
McGregor, Helen V.
Neukom, Raphael
Pederson, Gregory T.
Stenni, Barbara
Thirumalai, Kaustubh
Werner, Johannes P.
Xu, Chenxi
Divine, Dmitry V.
Dixon, Bronwyn C.
Gergis, Joelle
Mundo, Ignacio A.
Nakatsuka, Takeshi
Phipps, Steven J.
Routson, Cody C.
Steig, Eric J.
Tierney, Jessica E.
Tyler, Jonathan J.
Allen, Kathryn J.
Bertler, Nancy A.N.
Björklund, Jesper
Chase, Brian M.
Chen, Min-Te
Cook, Ed
de Jong, Rixt
DeLong, Kristine L.
Dixon, Daniel A.
Ekaykin, Alexey A.
Ersek, Vasile
Filipsson, Helena L.
Francus, Pierre
Freund, Mandy B.
Frezzotti, Massimo
Gaire, Narayan P.
Gajewski, Konrad
Ge, Quansheng
Goosse, Hugues
Gornostaeva, Anastasia
Grosjean, Martin
Horiuchi, Kazuho
Hormes, Anne
Husum, Katrine
Isaksson, Elisabeth
Kandasamy, Selvaraj
Kawamura, Kenji
Kilbourne, K. Halimeda
Koç, Nalan
Leduc, Guillaume
Linderholm, Hans W.
Lorrey, Andrew M.
Mikhalenko, Vladimir
Mortyn, P. Graham
Motoyama, Hideaki
Moy, Andrew D.
Mulvaney, Robert
Munz, Philipp M.
Nash, David J.
Oerter, Hans
Opel, Thomas
Orsi, Anais J.
Ovchinnikov, Dmitriy V.
Porter, Trevor J.
Roop, Heidi A.
Saenger, Casey
Sano, Masaki
Sauchyn, David
Saunders, Krystyna M.
Seidenkrantz, Marit-Solveig
Severi, Mirko
Shao, Xuemei
Sicre, Marie-Alexandrine
Sigl, Michael
Sinclair, Kate
St. George, Scott
St. Jacques, Jeannine-Marie
Thamban, Meloth
Kuwar Thapa, Udya
Thomas, Elizabeth R.
Turney, Chris
Uemura, Ryu
Viau, Andre E.
Vladimirova, Diana O.
Wahl, Eugene R.
White, James W.C.
Yu, Zicheng
Zinke, Jens
Affiliation
Univ Arizona, Sch Geog & DevUniv Arizona, Sch Earth Sci & Environm Sustainabil
Issue Date
2017-07-11
Metadata
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NATURE PUBLISHING GROUPCitation
A global multiproxy database for temperature reconstructions of the Common Era 2017, 4:170088 Scientific DataJournal
Scientific DataRights
© The Author(s) 2017. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.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. (TABLE) Since the pioneering work of D'Arrigo and Jacoby1-3, as well as Mann et al. 4,5, temperature reconstructions of the Common Era have become a key component of climate assessments6-9. Such reconstructions depend strongly on the composition of the underlying network of climate proxies10, and it is therefore critical for the climate community to have access to a community-vetted, quality-controlled database of temperature-sensitive records stored in a self-describing format. The Past Global Changes (PAGES) 2k consortium, a self-organized, international group of experts, recently assembled such a database, and used it to reconstruct surface temperature over continental-scale regions11 (hereafter, ` PAGES2k-2013'). This data descriptor presents version 2.0.0 of the PAGES2k proxy temperature database (Data Citation 1). It augments the PAGES2k-2013 collection of terrestrial records with marine records assembled by the Ocean2k working group at centennial12 and annual13 time scales. In addition to these previously published data compilations, this version includes substantially more records, extensive new metadata, and validation. Furthermore, the selection criteria for records included in this version are applied more uniformly and transparently across regions, resulting in a more cohesive data product. This data descriptor describes the contents of the database, the criteria for inclusion, and quantifies the relation of each record with instrumental temperature. In addition, the paleotemperature time series are summarized as composites to highlight the most salient decadal-to centennial-scale behaviour of the dataset and check mutual consistency between paleoclimate archives. We provide extensive Matlab code to probe the database-processing, filtering and aggregating it in various ways to investigate temperature variability over the Common Era. The unique approach to data stewardship and code-sharing employed here is designed to enable an unprecedented scale of investigation of the temperature history of the Common Era, by the scientific community and citizen-scientists alike.Note
Open access journal.ISSN
2052-4463Version
Final published versionSponsors
U.S. and Swiss National Science Foundations; John Wesley Powell Center for Analysis and Synthesis - U.S. Geological SurveyAdditional Links
http://www.nature.com/articles/sdata201788ae974a485f413a2113503eed53cd6c53
10.1038/sdata.2017.88
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Except where otherwise noted, this item's license is described as © The Author(s) 2017. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License.

