A global multiproxy database for temperature reconstructions of the Common Era

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.; 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, K.; Koç, N.; Leduc, G.; Linderholm, H.; Lorrey, A.; Mikhalenko, V.; Mortyn, P.; 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.; Severi, M.; Shao, X.; Sicre, M.; Sigl, M.; Sinclair, K.; St George, S.; St Jacques, J.; Thamban, M.; Thapa, U.; Thomas, E.; Turney, C.; Uemura, R.; Viau, A.; Vladimirova, D.; Wahl, E.; White, J.; Yu, Z.; Zinke, Jens

doi:10.1038/sdata.2017.88

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Authors

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.

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, K.

Koç, N.

Leduc, G.

Linderholm, H.

Lorrey, A.

Mikhalenko, V.

Mortyn, P.

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.

Severi, M.

Shao, X.

Sicre, M.

Sigl, M.

Sinclair, K.

St George, S.

St Jacques, J.

Thamban, M.

Thapa, U.

Thomas, E.

Turney, C.

Uemura, R.

Viau, A.

Vladimirova, D.

Wahl, E.

White, J.

Yu, Z.

Zinke, Jens

Date

2017

Type

Journal Article

Metadata

Show full item record

Citation

Emile-Geay, J. and McKay, N. and Kaufman, D. and Von Gunten, L. and Wang, J. and Anchukaitis, K. and Abram, N. et al. 2017. A global multiproxy database for temperature reconstructions of the Common Era. Scientific Data. 4.

Source Title

Scientific Data

DOI

10.1038/sdata.2017.88

ISSN

2052-4463

School

School of Molecular and Life Sciences (MLS)

URI

http://hdl.handle.net/20.500.11937/68866

Collection

Curtin Research Publications

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.