High-resolution terrestrial climate, bioclimate and vegetation for the last 120,000 years.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
14 07 2020
Historique:
received: 03 07 2019
accepted: 20 05 2020
entrez: 16 7 2020
pubmed: 16 7 2020
medline: 16 7 2020
Statut: epublish

Résumé

The variability of climate has profoundly impacted a wide range of macroecological processes in the Late Quaternary. Our understanding of these has greatly benefited from palaeoclimate simulations, however, high-quality reconstructions of ecologically relevant climatic variables have thus far been limited to a few selected time periods. Here, we present a 0.5° resolution bias-corrected dataset of global monthly temperature, precipitation, cloud cover, relative humidity and wind speed, 17 bioclimatic variables, annual net primary productivity, leaf area index and biomes, covering the last 120,000 years at a temporal resolution of 1,000-2,000 years. We combined medium-resolution HadCM3 climate simulations of the last 120,000 years with high-resolution HadAM3H simulations of the last 21,000 years, and modern-era instrumental data. This allows for the temporal variability of small-scale features whilst ensuring consistency with observed climate. Our data make it possible to perform continuous-time analyses at a high spatial resolution for a wide range of climatic and ecological applications - such as habitat and species distribution modelling, dispersal and extinction processes, biogeography and bioanthropology.

Identifiants

pubmed: 32665576
doi: 10.1038/s41597-020-0552-1
pii: 10.1038/s41597-020-0552-1
pmc: PMC7360617
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

236

Subventions

Organisme : European Research Council
Pays : International

Commentaires et corrections

Type : ErratumIn

Références

Nature. 2011 Nov 02;479(7373):359-64
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Auteurs

Robert M Beyer (RM)

Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, United Kingdom. rb792@cam.ac.uk.

Mario Krapp (M)

Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, United Kingdom.

Andrea Manica (A)

Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, United Kingdom.

Classifications MeSH