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dc.contributor.authorKrapp, Mario
dc.contributor.authorBeyer, Robert M
dc.contributor.authorEdmundson, Stephen L
dc.contributor.authorValdes, Paul J
dc.contributor.authorManica, Andrea
dc.date.accessioned2021-10-25T23:30:25Z
dc.date.available2021-10-25T23:30:25Z
dc.date.issued2021-08-27
dc.identifier.issn2052-4463
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/329862
dc.description.abstractCurated global climate data have been generated from climate model outputs for the last 120,000 years, whereas reconstructions going back even further have been lacking due to the high computational cost of climate simulations. Here, we present a statistically-derived global terrestrial climate dataset for every 1,000 years of the last 800,000 years. It is based on a set of linear regressions between 72 existing HadCM3 climate simulations of the last 120,000 years and external forcings consisting of CO2, orbital parameters, and land type. The estimated climatologies were interpolated to 0.5° resolution and bias-corrected using present-day climate. The data compare well with the original HadCM3 simulations and with long-term proxy records. Our dataset includes monthly temperature, precipitation, cloud cover, and 17 bioclimatic variables. In addition, we derived net primary productivity and global biome distributions using the BIOME4 vegetation model. The data are a relevant source for different research areas, such as archaeology or ecology, to study the long-term effect of glacial-interglacial climate cycles for periods beyond the last 120,000 years.
dc.format.mediumElectronic
dc.languageeng
dc.publisherSpringer Science and Business Media LLC
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleA statistics-based reconstruction of high-resolution global terrestrial climate for the last 800,000 years.
dc.typeArticle
prism.issueIdentifier1
prism.publicationDate2021
prism.publicationNameSci Data
prism.startingPage228
prism.volume8
dc.identifier.doi10.17863/CAM.77307
dcterms.dateAccepted2021-07-30
rioxxterms.versionofrecord10.1038/s41597-021-01009-3
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-08-27
dc.contributor.orcidKrapp, Mario [0000-0002-2599-0683]
dc.contributor.orcidValdes, Paul J [0000-0002-1902-3283]
dc.contributor.orcidManica, Andrea [0000-0003-1895-450X]
dc.identifier.eissn2052-4463
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEuropean Research Council (647787)
cam.issuedOnline2021-08-27


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International