Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/131968
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Type: Journal article
Title: StableClim, continuous projections of climate stability from 21000 BP to 2100 CE at multiple spatial scales
Author: Brown, S.C.
Wigley, T.M.L.
Otto-Bliesner, B.L.
Fordham, D.A.
Citation: Scientific Data, 2020; 7(1):1-13
Publisher: Nature
Issue Date: 2020
ISSN: 2052-4463
2052-4463
Statement of
Responsibility: 
Stuart C. Brown, Tom M. L. Wigley, Bette L. Otto-Bliesner and Damien A. Fordham
Abstract: Paleoclimatic data are used in eco-evolutionary models to improve knowledge of biogeographical processes that drive patterns of biodiversity through time, opening windows into past climate-biodiversity dynamics. Applying these models to harmonised simulations of past and future climatic change can strengthen forecasts of biodiversity change. StableClim provides continuous estimates of climate stability from 21,000 years ago to 2100 C.E. for ocean and terrestrial realms at spatial scales that include biogeographic regions and climate zones. Climate stability is quantified using annual trends and variabilities in air temperature and precipitation, and associated signal-to-noise ratios. Thresholds of natural variability in trends in regional- and global-mean temperature allow periods in Earth's history when climatic conditions were warming and cooling rapidly (or slowly) to be identified and climate stability to be estimated locally (grid-cell) during these periods of accelerated change. Model simulations are validated against independent paleoclimate and observational data. Projections of climatic stability, accessed through StableClim, will improve understanding of the roles of climate in shaping past, present-day and future patterns of biodiversity.
Rights: © The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
DOI: 10.1038/s41597-020-00663-3
Grant ID: http://purl.org/au-research/grants/arc/DP130103261
http://purl.org/au-research/grants/arc/FT140101192
http://purl.org/au-research/grants/arc/DP180102392
Appears in Collections:Aurora harvest 4
Environment Institute publications

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