Journal article
A global multiproxy database for temperature reconstructions of the Common Era
J Emile-Geay, NP McKay, DS Kaufman, L Von Gunten, J Wang, KJ Anchukaitis, NJ Abram, JA Addison, MAJ Curran, MN Evans, BJ Henley, Z Hao, B Martrat, HV McGregor, R Neukom, GT Pederson, B Stenni, K Thirumalai, JP Werner, C Xu Show all
Scientific Data | NATURE PORTFOLIO | Published : 2017
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 ..
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Grants
Awarded by Grants-in-Aid for Scientific Research
Awarded by NERC
Awarded by Directorate For Geosciences; Division Of Earth Sciences
Awarded by Div Atmospheric & Geospace Sciences; Directorate For Geosciences
Awarded by ICER; Directorate For Geosciences
Funding Acknowledgements
PAGES, a core project of Future Earth, is supported by the U.S. and Swiss National Science Foundations. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Some of this work was conducted as part of the North America 2k Working Group supported by the John Wesley Powell Center for Analysis and Synthesis, funded by the U.S. Geological Survey. B. Bauer, W. Gross, and E. Gille (NOAA National Centers for Environmental Information) are gratefully acknowledged for helping assemble the data citations and creating the NCEI versions of the PAGES 2k data records. We thank all the investigators whose commitment to data sharing enables the open science ethos embodied by this project.