A global multiproxy database for temperature reconstructions of the Common Era

Julien Emile-Geay; Nicholas McKay; Darrell Kaufman; Lucien von Gunten; Jianghao Wang; Kevin Anchukaitis; Nerilie Abram; Jason Addison; Mark Curran; Michael Evans; Benjamin Henley; Zhixin Hao; Belen Martrat; Helen McGregor; Raphael Neukom; Gregory Pederson; Barbara Stenni; Kaustubh Thirumalai; Johannes Werner; Chenxi Xu; Dmitry Divine; Bronwyn Dixon; Joelle Gergis; Ignacio Mundo; Takeshi Nakatsuka; Steven Phipps; Cody Routson; Eric Steig; Jessica Tierney; Jonathan Tyler; Kathryn Allen; Nancy Bertler; Jesper Björklund; Brian Chase; Min-Te Chen; Ed Cook; Rixt de Jong; Kristine DeLong; Daniel Dixon; Alexey Ekaykin; Vasile Ersek; Helena Filipsson; Pierre Francus; Mandy Freund; Massimo Frezzotti; Narayan Gaire; Konrad Gajewski; Quansheng Ge; Hugues Goosse; Anastasia Gornostaeva; Martin Grosjean; Kazuho Horiuchi; Anne Hormes; Katrine Husum; Elisabeth Isaksson; Selvaraj Kandasamy; Kenji Kawamura; K. Halimeda Kilbourne; Nalan Koc; Guillaume Leduc; Hans Linderholm; Andrew Lorrey; Vladimir Mikhalenko; Graham Mortyn; Hideaki Motoyama; Andrew Moy; Robert Mulvaney; Philipp Munz; David Nash; Hans Oerter; Thomas Opel; Anais Orsi; Dmitriy Ovchinnikov; Trevor Porter; Heidi Roop; Casey Saenger; Masaki Sano; David Sauchyn; Krystyna Saunders; Marit-Solveig Seidenkrantz; Mirko Severi; Xuemei Shao; Marie-Alexandrine Sicre; Michael Sigl; Kate Sinclair; Scott St. George; Jeannine-Marie St. Jacques; Meloth Thamban; Udya Kuwar Thapa; Elizabeth Thomas; Chris Turney; Ryu Uemura; Andre Viau; Diana Vladimirova; Eugene Wahl; James White; Zicheng Yu; Jens Zinke

doi:10.1038/sdata.2017.88

A global multiproxy database for temperature reconstructions of the Common Era

Julien Emile-Geay, Nicholas McKay, Darrell Kaufman, Lucien von Gunten, Jianghao Wang, Kevin Anchukaitis, Nerilie Abram, Jason Addison, Mark Curran, Michael Evans, Benjamin Henley, Zhixin Hao, Belen Martrat, Helen McGregor, Raphael Neukom, Gregory Pederson, Barbara Stenni, Kaustubh Thirumalai, Johannes Werner, Chenxi XuDmitry Divine, Bronwyn Dixon, Joelle Gergis, Ignacio Mundo, Takeshi Nakatsuka, Steven Phipps, Cody Routson, Eric Steig, Jessica Tierney, Jonathan Tyler, Kathryn Allen, Nancy Bertler, Jesper Björklund, Brian Chase, Min-Te Chen, Ed Cook, Rixt de Jong, Kristine DeLong, Daniel Dixon, Alexey Ekaykin, Vasile Ersek, Helena Filipsson, Pierre Francus, Mandy Freund, Massimo Frezzotti, Narayan Gaire, Konrad Gajewski, Quansheng Ge, Hugues Goosse, Anastasia Gornostaeva, Martin Grosjean, Kazuho Horiuchi, Anne Hormes, Katrine Husum, Elisabeth Isaksson, Selvaraj Kandasamy, Kenji Kawamura, K. Halimeda Kilbourne, Nalan Koc, Guillaume Leduc, Hans Linderholm, Andrew Lorrey, Vladimir Mikhalenko, Graham Mortyn, Hideaki Motoyama, Andrew Moy, Robert Mulvaney, Philipp Munz, David Nash, Hans Oerter, Thomas Opel, Anais Orsi, Dmitriy Ovchinnikov, Trevor Porter, Heidi Roop, Casey Saenger, Masaki Sano, David Sauchyn, Krystyna Saunders, Marit-Solveig Seidenkrantz, Mirko Severi, Xuemei Shao, Marie-Alexandrine Sicre, Michael Sigl, Kate Sinclair, Scott St. George, Jeannine-Marie St. Jacques, Meloth Thamban, Udya Kuwar Thapa, Elizabeth Thomas, Chris Turney, Ryu Uemura, Andre Viau, Diana Vladimirova, Eugene Wahl, James White, Zicheng Yu, Jens Zinke

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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 vs 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
Journal	Scientific data
Volume	4
Issue number	170088
DOIs	https://doi.org/10.1038/sdata.2017.88
Publication status	Published - 11 Jul 2017

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Sdata201788Final published version, 3.06 MBLicence: CC BY

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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., ... Zinke, J. (2017). A global multiproxy database for temperature reconstructions of the Common Era. Scientific data, 4(170088). https://doi.org/10.1038/sdata.2017.88

@article{53e331a6b86d4fa4a927286969b17101,

title = "A global multiproxy database for temperature reconstructions of the Common Era",

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 vs 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.",

author = "Julien Emile-Geay and Nicholas McKay and Darrell Kaufman and {von Gunten}, Lucien and Jianghao Wang and Kevin Anchukaitis and Nerilie Abram and Jason Addison and Mark Curran and Michael Evans and Benjamin Henley and Zhixin Hao and Belen Martrat and Helen McGregor and Raphael Neukom and Gregory Pederson and Barbara Stenni and Kaustubh Thirumalai and Johannes Werner and Chenxi Xu and Dmitry Divine and Bronwyn Dixon and Joelle Gergis and Ignacio Mundo and Takeshi Nakatsuka and Steven Phipps and Cody Routson and Eric Steig and Jessica Tierney and Jonathan Tyler and Kathryn Allen and Nancy Bertler and Jesper Bj{\"o}rklund and Brian Chase and Min-Te Chen and Ed Cook and {de Jong}, Rixt and Kristine DeLong and Daniel Dixon and Alexey Ekaykin and Vasile Ersek and Helena Filipsson and Pierre Francus and Mandy Freund and Massimo Frezzotti and Narayan Gaire and Konrad Gajewski and Quansheng Ge and Hugues Goosse and Anastasia Gornostaeva and Martin Grosjean and Kazuho Horiuchi and Anne Hormes and Katrine Husum and Elisabeth Isaksson and Selvaraj Kandasamy and Kenji Kawamura and Kilbourne, {K. Halimeda} and Nalan Koc and Guillaume Leduc and Hans Linderholm and Andrew Lorrey and Vladimir Mikhalenko and Graham Mortyn and Hideaki Motoyama and Andrew Moy and Robert Mulvaney and Philipp Munz and David Nash and Hans Oerter and Thomas Opel and Anais Orsi and Dmitriy Ovchinnikov and Trevor Porter and Heidi Roop and Casey Saenger and Masaki Sano and David Sauchyn and Krystyna Saunders and Marit-Solveig Seidenkrantz and Mirko Severi and Xuemei Shao and Marie-Alexandrine Sicre and Michael Sigl and Kate Sinclair and {St. George}, Scott and {St. Jacques}, Jeannine-Marie and Meloth Thamban and Thapa, {Udya Kuwar} and Elizabeth Thomas and Chris Turney and Ryu Uemura and Andre Viau and Diana Vladimirova and Eugene Wahl and James White and Zicheng Yu and Jens Zinke",

year = "2017",

month = jul,

day = "11",

doi = "10.1038/sdata.2017.88",

language = "English",

volume = "4",

journal = "Scientific data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

number = "170088",

}

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, Divine, D, Dixon, B, Gergis, J, Mundo, I, Nakatsuka, T, Phipps, S, Routson, C, Steig, E, Tierney, J, Tyler, J, Allen, K, Bertler, N, Björklund, J, Chase, B, Chen, M-T, Cook, E, de Jong, R, DeLong, K, Dixon, D, Ekaykin, A, Ersek, V, Filipsson, H, Francus, P, Freund, M, Frezzotti, M, Gaire, N, Gajewski, K, Ge, Q, Goosse, H, Gornostaeva, A, Grosjean, M, Horiuchi, K, Hormes, A, Husum, K, Isaksson, E, Kandasamy, S, Kawamura, K, Kilbourne, KH, Koc, N, Leduc, G, Linderholm, H, Lorrey, A, Mikhalenko, V, Mortyn, G, Motoyama, H, Moy, A, Mulvaney, R, Munz, P, Nash, D, Oerter, H, Opel, T, Orsi, A, Ovchinnikov, D, Porter, T, Roop, H, Saenger, C, Sano, M, Sauchyn, D, Saunders, K, Seidenkrantz, M-S, Severi, M, Shao, X, Sicre, M-A, Sigl, M, Sinclair, K, St. George, S, St. Jacques, J-M, Thamban, M, Thapa, UK, Thomas, E, Turney, C, Uemura, R, Viau, A, Vladimirova, D, Wahl, E, White, J, Yu, Z & Zinke, J 2017, 'A global multiproxy database for temperature reconstructions of the Common Era', Scientific data, vol. 4, no. 170088. https://doi.org/10.1038/sdata.2017.88

TY - JOUR

T1 - A global multiproxy database for temperature reconstructions of the Common Era

AU - Emile-Geay, Julien

AU - McKay, Nicholas

AU - Kaufman, Darrell

AU - von Gunten, Lucien

AU - Wang, Jianghao

AU - Anchukaitis, Kevin

AU - Abram, Nerilie

AU - Addison, Jason

AU - Curran, Mark

AU - Evans, Michael

AU - Henley, Benjamin

AU - Hao, Zhixin

AU - Martrat, Belen

AU - McGregor, Helen

AU - Neukom, Raphael

AU - Pederson, Gregory

AU - Stenni, Barbara

AU - Thirumalai, Kaustubh

AU - Werner, Johannes

AU - Xu, Chenxi

AU - Divine, Dmitry

AU - Dixon, Bronwyn

AU - Gergis, Joelle

AU - Mundo, Ignacio

AU - Nakatsuka, Takeshi

AU - Phipps, Steven

AU - Routson, Cody

AU - Steig, Eric

AU - Tierney, Jessica

AU - Tyler, Jonathan

AU - Allen, Kathryn

AU - Bertler, Nancy

AU - Björklund, Jesper

AU - Chase, Brian

AU - Chen, Min-Te

AU - Cook, Ed

AU - de Jong, Rixt

AU - DeLong, Kristine

AU - Dixon, Daniel

AU - Ekaykin, Alexey

AU - Ersek, Vasile

AU - Filipsson, Helena

AU - Francus, Pierre

AU - Freund, Mandy

AU - Frezzotti, Massimo

AU - Gaire, Narayan

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 - Koc, Nalan

AU - Leduc, Guillaume

AU - Linderholm, Hans

AU - Lorrey, Andrew

AU - Mikhalenko, Vladimir

AU - Mortyn, Graham

AU - Motoyama, Hideaki

AU - Moy, Andrew

AU - Mulvaney, Robert

AU - Munz, Philipp

AU - Nash, David

AU - Oerter, Hans

AU - Opel, Thomas

AU - Orsi, Anais

AU - Ovchinnikov, Dmitriy

AU - Porter, Trevor

AU - Roop, Heidi

AU - Saenger, Casey

AU - Sano, Masaki

AU - Sauchyn, David

AU - Saunders, Krystyna

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

AU - Turney, Chris

AU - Uemura, Ryu

AU - Viau, Andre

AU - Vladimirova, Diana

AU - Wahl, Eugene

AU - White, James

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 vs 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 vs 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.

U2 - 10.1038/sdata.2017.88

DO - 10.1038/sdata.2017.88

M3 - Article

SN - 2052-4463

VL - 4

JO - Scientific data

JF - Scientific data

IS - 170088

ER -

A global multiproxy database for temperature reconstructions of the Common Era

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