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dc.contributor.authorEmile-Geay, Julien
dc.contributor.authorMcKay, Nicholas P.
dc.contributor.authorKaufman, Darrell S.
dc.contributor.authorvon Gunten, Lucien
dc.contributor.authorWang, Jianghao
dc.contributor.authorAnchukaitis, Kevin J.
dc.contributor.authorAbram, Nerilie J.
dc.contributor.authorAddison, Jason A.
dc.contributor.authorCurran, Mark A.J.
dc.contributor.authorEvans, Michael N.
dc.contributor.authorHenley, Benjamin J.
dc.contributor.authorHao, Zhixin
dc.contributor.authorMartrat, Belen
dc.contributor.authorMcGregor, Helen V.
dc.contributor.authorNeukom, Raphael
dc.contributor.authorPederson, Gregory T.
dc.contributor.authorStenni, Barbara
dc.contributor.authorThirumalai, Kaustubh
dc.contributor.authorWerner, Johannes P.
dc.contributor.authorXu, Chenxi
dc.contributor.authorDivine, Dmitry V.
dc.contributor.authorDixon, Bronwyn C.
dc.contributor.authorGergis, Joelle
dc.contributor.authorMundo, Ignacio A.
dc.contributor.authorNakatsuka, Takeshi
dc.contributor.authorPhipps, Steven J.
dc.contributor.authorRoutson, Cody C.
dc.contributor.authorSteig, Eric J.
dc.contributor.authorTierney, Jessica E.
dc.contributor.authorTyler, Jonathan J.
dc.contributor.authorAllen, Kathryn J.
dc.contributor.authorBertler, Nancy A.N.
dc.contributor.authorBjörklund, Jesper
dc.contributor.authorChase, Brian M.
dc.contributor.authorChen, Min-Te
dc.contributor.authorCook, Ed
dc.contributor.authorde Jong, Rixt
dc.contributor.authorDeLong, Kristine L.
dc.contributor.authorDixon, Daniel A.
dc.contributor.authorEkaykin, Alexey A.
dc.contributor.authorErsek, Vasile
dc.contributor.authorFilipsson, Helena L.
dc.contributor.authorFrancus, Pierre
dc.contributor.authorFreund, Mandy B.
dc.contributor.authorFrezzotti, Massimo
dc.contributor.authorGaire, Narayan P.
dc.contributor.authorGajewski, Konrad
dc.contributor.authorGe, Quansheng
dc.contributor.authorGoosse, Hugues
dc.contributor.authorGornostaeva, Anastasia
dc.contributor.authorGrosjean, Martin
dc.contributor.authorHoriuchi, Kazuho
dc.contributor.authorHormes, Anne
dc.contributor.authorHusum, Katrine
dc.contributor.authorIsaksson, Elisabeth
dc.contributor.authorKandasamy, Selvaraj
dc.contributor.authorKawamura, Kenji
dc.contributor.authorKilbourne, K. Halimeda
dc.contributor.authorKoç, Nalan
dc.contributor.authorLeduc, Guillaume
dc.contributor.authorLinderholm, Hans W.
dc.contributor.authorLorrey, Andrew M.
dc.contributor.authorMikhalenko, Vladimir
dc.contributor.authorMortyn, P. Graham
dc.contributor.authorMotoyama, Hideaki
dc.contributor.authorMoy, Andrew D.
dc.contributor.authorMulvaney, Robert
dc.contributor.authorMunz, Philipp M.
dc.contributor.authorNash, David J.
dc.contributor.authorOerter, Hans
dc.contributor.authorOpel, Thomas
dc.contributor.authorOrsi, Anais J.
dc.contributor.authorOvchinnikov, Dmitriy V.
dc.contributor.authorPorter, Trevor J.
dc.contributor.authorRoop, Heidi A.
dc.contributor.authorSaenger, Casey
dc.contributor.authorSano, Masaki
dc.contributor.authorSauchyn, David
dc.contributor.authorSaunders, Krystyna M.
dc.contributor.authorSeidenkrantz, Marit-Solveig
dc.contributor.authorSeveri, Mirko
dc.contributor.authorShao, Xuemei
dc.contributor.authorSicre, Marie-Alexandrine
dc.contributor.authorSigl, Michael
dc.contributor.authorSinclair, Kate
dc.contributor.authorSt. George, Scott
dc.contributor.authorSt. Jacques, Jeannine-Marie
dc.contributor.authorThamban, Meloth
dc.contributor.authorKuwar Thapa, Udya
dc.contributor.authorThomas, Elizabeth R.
dc.contributor.authorTurney, Chris
dc.contributor.authorUemura, Ryu
dc.contributor.authorViau, Andre E.
dc.contributor.authorVladimirova, Diana O.
dc.contributor.authorWahl, Eugene R.
dc.contributor.authorWhite, James W.C.
dc.contributor.authorYu, Zicheng
dc.contributor.authorZinke, Jens
dc.date.accessioned2017-08-10T16:10:13Z
dc.date.available2017-08-10T16:10:13Z
dc.date.issued2017-07-11
dc.identifier.citationA global multiproxy database for temperature reconstructions of the Common Era 2017, 4:170088 Scientific Dataen
dc.identifier.issn2052-4463
dc.identifier.doi10.1038/sdata.2017.88
dc.identifier.urihttp://hdl.handle.net/10150/625222
dc.description.abstractReproducible 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.
dc.description.sponsorshipU.S. and Swiss National Science Foundations; John Wesley Powell Center for Analysis and Synthesis - U.S. Geological Surveyen
dc.language.isoenen
dc.publisherNATURE PUBLISHING GROUPen
dc.relation.urlhttp://www.nature.com/articles/sdata201788en
dc.rights© The Author(s) 2017. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleA global multiproxy database for temperature reconstructions of the Common Eraen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Sch Geog & Deven
dc.contributor.departmentUniv Arizona, Sch Earth Sci & Environm Sustainabilen
dc.identifier.journalScientific Dataen
dc.description.noteOpen access journal.en
dc.description.collectioninformationThis 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.en
dc.eprint.versionFinal published versionen
refterms.dateFOA2018-09-11T22:09:43Z
html.description.abstractReproducible 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.


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© The Author(s) 2017. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License.
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.