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.
| Original language | English (US) |
|---|---|
| Article number | 170088 |
| Journal | Scientific data |
| Volume | 4 |
| DOIs | |
| State | Published - Jul 11 2017 |
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ASJC Scopus subject areas
- Education
- Library and Information Sciences
- Computer Science Applications
- Information Systems
- Statistics, Probability and Uncertainty
- Statistics and Probability
Cite this
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.; 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; Thapa, Udya Kuwar; Thomas, Elizabeth R.; Turney, Chris; Uemura, Ryu; Viau, Andre E.; Vladimirova, Diana O.; Wahl, Eugene R.; White, James W.C.; Yu, Zicheng; Zinke, Jens.
In: Scientific data, Vol. 4, 170088, 11.07.2017.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A global multiproxy database for temperature reconstructions of the Common Era
AU - Emile-Geay, Julien
AU - McKay, Nicholas P.
AU - Kaufman, Darrell S
AU - Von Gunten, Lucien
AU - Wang, Jianghao
AU - Anchukaitis, Kevin J.
AU - Abram, Nerilie J.
AU - Addison, Jason A.
AU - Curran, Mark A.J.
AU - Evans, Michael N.
AU - Henley, Benjamin J.
AU - Hao, Zhixin
AU - Martrat, Belen
AU - McGregor, Helen V.
AU - Neukom, Raphael
AU - Pederson, Gregory T.
AU - Stenni, Barbara
AU - Thirumalai, Kaustubh
AU - Werner, Johannes P.
AU - Xu, Chenxi
AU - Divine, Dmitry V.
AU - Dixon, Bronwyn C.
AU - Gergis, Joelle
AU - Mundo, Ignacio A.
AU - Nakatsuka, Takeshi
AU - Phipps, Steven J.
AU - Routson, Cody C.
AU - Steig, Eric J.
AU - Tierney, Jessica E.
AU - Tyler, Jonathan J.
AU - Allen, Kathryn J.
AU - Bertler, Nancy A.N.
AU - Björklund, Jesper
AU - Chase, Brian M.
AU - Chen, Min Te
AU - Cook, Ed
AU - De Jong, Rixt
AU - DeLong, Kristine L.
AU - Dixon, Daniel A.
AU - Ekaykin, Alexey A.
AU - Ersek, Vasile
AU - Filipsson, Helena L.
AU - Francus, Pierre
AU - Freund, Mandy B.
AU - Frezzotti, Massimo
AU - Gaire, Narayan P.
AU - Gajewski, Konrad
AU - Ge, Quansheng
AU - Goosse, Hugues
AU - Gornostaeva, Anastasia
AU - Grosjean, Martin
AU - Horiuchi, Kazuho
AU - Hormes, Anne
AU - Husum, Katrine
AU - Isaksson, Elisabeth
AU - Kandasamy, Selvaraj
AU - Kawamura, Kenji
AU - Kilbourne, K. Halimeda
AU - Koç, Nalan
AU - Leduc, Guillaume
AU - Linderholm, Hans W.
AU - Lorrey, Andrew M.
AU - Mikhalenko, Vladimir
AU - Mortyn, P. Graham
AU - Motoyama, Hideaki
AU - Moy, Andrew D.
AU - Mulvaney, Robert
AU - Munz, Philipp M.
AU - Nash, David J.
AU - Oerter, Hans
AU - Opel, Thomas
AU - Orsi, Anais J.
AU - Ovchinnikov, Dmitriy V.
AU - Porter, Trevor J.
AU - Roop, Heidi A.
AU - Saenger, Casey
AU - Sano, Masaki
AU - Sauchyn, David
AU - Saunders, Krystyna M.
AU - Seidenkrantz, Marit Solveig
AU - Severi, Mirko
AU - Shao, Xuemei
AU - Sicre, Marie Alexandrine
AU - Sigl, Michael
AU - Sinclair, Kate
AU - St George, Scott
AU - St Jacques, Jeannine Marie
AU - Thamban, Meloth
AU - Thapa, Udya Kuwar
AU - Thomas, Elizabeth R.
AU - Turney, Chris
AU - Uemura, Ryu
AU - Viau, Andre E.
AU - Vladimirova, Diana O.
AU - Wahl, Eugene R.
AU - White, James W.C.
AU - Yu, Zicheng
AU - Zinke, Jens
PY - 2017/7/11
Y1 - 2017/7/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85020476894&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85020476894&partnerID=8YFLogxK
U2 - 10.1038/sdata.2017.88
DO - 10.1038/sdata.2017.88
M3 - Article
VL - 4
JO - Scientific data
JF - Scientific data
SN - 2052-4463
M1 - 170088
ER -