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A global multiproxy database for temperature reconstructions of the Common Era

Emile-Geay, Julien; McKay, Nicholas P.; Kaufman, Darrell S.; Von Gunten, Lucien; Wang, Jianghao; Anchukaitis, Kevin J.; Abram, Nerilie J.; Addison, Jason A.; Curran, Mark A.J. and Evans, Michael N., et al. (2017) In Scientific Data 4.
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... (More)

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.

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Scientific Data
volume
4
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Nature Publishing Group
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  • scopus:85020476894
  • wos:000405177600001
ISSN
2052-4463
DOI
10.1038/sdata.2017.88
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English
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2017-12-05 17:16:03
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@article{e428ca8d-22b1-4737-960c-ac9173852f9b,
  abstract     = {<p>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.</p>},
  articleno    = {170088},
  author       = {Emile-Geay, Julien and McKay, Nicholas P. and Kaufman, Darrell S. and Von Gunten, Lucien and Wang, Jianghao and Anchukaitis, Kevin J. and Abram, Nerilie J. and Addison, Jason A. and Curran, Mark A.J. and Evans, Michael N. and Henley, Benjamin J. and Hao, Zhixin and Martrat, Belen and McGregor, Helen V. and Neukom, Raphael and Pederson, Gregory T. and Stenni, Barbara and Thirumalai, Kaustubh and Werner, Johannes P. and Xu, Chenxi and Divine, Dmitry V. and Dixon, Bronwyn C. and Gergis, Joelle and Mundo, Ignacio A. and Nakatsuka, Takeshi and Phipps, Steven J. and Routson, Cody C. and Steig, Eric J. and Tierney, Jessica E. and Tyler, Jonathan J. and Allen, Kathryn J. and Bertler, Nancy A.N. and Björklund, Jesper and Chase, Brian M. and Chen, Min Te and Cook, Ed and De Jong, Rixt and DeLong, Kristine L. and Dixon, Daniel A. and Ekaykin, Alexey A. and Ersek, Vasile and Filipsson, Helena L. and Francus, Pierre and Freund, Mandy B. and Frezzotti, Massimo and Gaire, Narayan P. and Gajewski, Konrad and Ge, Quansheng and Goosse, Hugues and Gornostaeva, Anastasia and Grosjean, Martin and Horiuchi, Kazuho and Hormes, Anne and Husum, Katrine and Isaksson, Elisabeth and Kandasamy, Selvaraj and Kawamura, Kenji and Kilbourne, K. Halimeda and Koç, Nalan and Leduc, Guillaume and Linderholm, Hans W. and Lorrey, Andrew M. and Mikhalenko, Vladimir and Mortyn, P. Graham and Motoyama, Hideaki and Moy, Andrew D. and Mulvaney, Robert and Munz, Philipp M. and Nash, David J. and Oerter, Hans and Opel, Thomas and Orsi, Anais J. and Ovchinnikov, Dmitriy V. and Porter, Trevor J. and Roop, Heidi A. and Saenger, Casey and Sano, Masaki and Sauchyn, David and Saunders, Krystyna M. and Seidenkrantz, Marit Solveig and Severi, Mirko and Shao, Xuemei and Sicre, Marie Alexandrine and Sigl, Michael and Sinclair, Kate and St George, Scott and St Jacques, Jeannine Marie and Thamban, Meloth and Thapa, Udya Kuwar and Thomas, Elizabeth R. and Turney, Chris and Uemura, Ryu and Viau, Andre E. and Vladimirova, Diana O. and Wahl, Eugene R. and White, James W.C. and Yu, Zicheng and Zinke, Jens and , },
  issn         = {2052-4463},
  language     = {eng},
  month        = {07},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Data},
  title        = {A global multiproxy database for temperature reconstructions of the Common Era},
  url          = {http://dx.doi.org/10.1038/sdata.2017.88},
  volume       = {4},
  year         = {2017},
}