A global multiproxy database for temperature reconstructions of the Common Era
Published on 2019-04-05T12:17:08Z (GMT) by
Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of nat- ural 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 proxy 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 surface temper- ature in the HadCRUT4.2 instrumental temperature product over the period 1850-2014. Simple global composite time series show a remarkable degree of coherence between high- and low-resolution proxy archives, with broadly similar patterns across archive types, terrestrial vs marine loca- tions, and screening criteria. The database (version 2.0.0) 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. Also included in this repository are: - the raw data in Linked Paleo Data (LiPD) format - instructions on how to load the data - Quality Control figures as PDF files, bundled for various regions (including a Global bundle with all 692 pages).<div><br></div><div><b>Change note [5 April 2019]:</b> Original instructions in LoadData.md are now obsolete, following updates to the LiPD utilities. The instructions now point to recently published Jupyter notebooks that illustrate how to use the PAGES 2k LiPD files to reproduce some figures from the paper, or carry out other analyses.<br></div>
Cite this collection
Kilbourne, Hali; Yu, Zicheng; Neukom, Raphael; Nash, David; Gergis, Joelle; Steig, Eric J; et al. (2017): A global multiproxy database for temperature reconstructions of the Common Era. figshare. Collection.