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Cited by 498

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PaleoClim, high spatial resolution paleoclimate surfaces for global land areas

Open access
Brown, Jason L., Hill, Daniel J., Dolan, Aisling M., Carnaval, Ana C., Haywood, Alan M.·2018·Scientific Data

Abstract

High-resolution, easily accessible paleoclimate data are essential for environmental, evolutionary, and ecological studies. The availability of bioclimatic layers derived from climatic simulations representing conditions of the Late Pleistocene and Holocene has revolutionized the study of species responses to Late Quaternary climate change. Yet, integrative studies of the impacts of climate change in the Early Pleistocene and Pliocene – periods in which recent speciation events are known to concentrate – have been hindered by the limited availability of downloadable, user-friendly climatic descriptors. Here we present PaleoClim, a free database of downscaled paleoclimate outputs at 2.5-minute resolution (~5 km at equator) that includes surface temperature and precipitation estimates from snapshot-style climate model simulations using HadCM3, a version of the UK Met Office Hadley Centre General Circulation Model. As of now, the database contains climatic data for three key time periods spanning from 3.3 to 0.787 million years ago: the Marine Isotope Stage 19 (MIS19) in the Pleistocene (~787 ka), the mid-Pliocene Warm Period (~3.264–3.025 Ma), and MIS M2 in the Late Pliocene (~3.3 Ma).

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Metadata

Authors
Brown, J. L., Hill, D. J., Dolan, A. M., Carnaval, A. C., & Haywood, A. M.
Venue
Scientific Data
Published
2018-11-13
Volume
5
Issue
1
Pages
180254-180254
ISSN
2052-4463 (ISSN-L)
OpenAlex
W2899632236
Cited by
498
References
51
Type
data paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: PaleoClim, high spatial resolution paleoclimate surfaces for global land areas. https://app.cochat.ai/papers/10.1038/sdata.2018.254
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Brown, J. L., Hill, D. J., Dolan, A. M., Carnaval, A. C., & Haywood, A. M. (2018). PaleoClim, high spatial resolution paleoclimate surfaces for global land areas. Scientific Data. https://doi.org/10.1038/sdata.2018.254

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