Hernández, Armand, Martin-Puertas, Celia, Moffa-Sánchez, Paola, Moreno-Chamarro, Eduardo, Ortega, Pablo, Blockley, Simon, Cobb, Kim M., Comas-Bru, Laia, Giralt, Santiago, Goosse, Hugues, Luterbacher, Jürg, Martrat, Belen, Muscheler, Raimund, Parnell, Andrew, Pla-Rabes, Sergi, Sjolte, Jesper, Scaife, Adam A., Swingedouw, Didier, Wise, Erika and Xu, Guobao (2020) Modes of climate variability: Synthesis and review of proxy-based reconstructions through the Holocene. Earth-Science Reviews, 209. p. 103286. ISSN 0012-8252
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Abstract
Modes of climate variability affect global and regional climates on different spatio-temporal scales, and they
have important impacts on human activities and ecosystems. As these modes are a useful tool for simplifying the
understanding of the climate system, it is crucial that we gain improved knowledge of their long-term past
evolution and interactions over time to contextualise their present and future behaviour. We review the literature focused on proxy-based reconstructions of modes of climate variability during the Holocene (i.e., the last
11.7 thousand years) with a special emphasis on i) proxy-based reconstruction methods; ii) available proxybased reconstructions of the main modes of variability, i.e., El Niño Southern Oscillation, Pacific Decadal
Variability, Atlantic Multidecadal Variability, the North Atlantic Oscillation, the Southern Annular Mode and the
Indian Ocean Dipole; iii) major interactions between these modes; and iv) external forcing mechanisms related
to the evolution of these modes. This review shows that modes of variability can be reconstructed using proxy based records from a wide range of natural archives, but these reconstructions are scarce beyond the last millennium, partly due to the lack of robust chronologies with reduced dating uncertainties, technical issues related
to proxy calibration, and difficulty elucidating their stationary impact (or not) on regional climates over time.
While for each mode the available reconstructions tend to agree at multidecadal timescales, they show notable
disagreement on shorter timescales beyond the instrumental period. The reviewed evidence suggests that the
intrinsic variability of modes can be modulated by external forcing, such as orbital, solar, volcanic, and anthropogenic forcing. The review also highlights some modes experience higher variability over the instrumental period, which is partly ascribed to anthropogenic forcing. These features stress the paramount importance of further studying their past variations using long climate-proxy records for the progress of climate
science.
Item Type: | Article |
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Additional Information: | Cite as: Armand Hernández, Celia Martin-Puertas, Paola Moffa-Sánchez, Eduardo Moreno-Chamarro, Pablo Ortega, Simon Blockley, Kim M. Cobb, Laia Comas-Bru, Santiago Giralt, Hugues Goosse, Jürg Luterbacher, Belen Martrat, Raimund Muscheler, Andrew Parnell, Sergi Pla-Rabes, Jesper Sjolte, Adam A. Scaife, Didier Swingedouw, Erika Wise, Guobao Xu, Modes of climate variability: Synthesis and review of proxy-based reconstructions through the Holocene, Earth-Science Reviews, Volume 209, 2020, 103286, ISSN 0012-8252, https://doi.org/10.1016/j.earscirev.2020.103286. Copyright: Published Version [pathway b]NoneCC BY Any Website, Journal Website, +5 OA FeeThis pathway has an Open Access fee associated with it OA PublishingThis pathway includes Open Access publishing EmbargoNo Embargo LicenceCC BY Location Any Website Institutional Repository Named Repository (PubMed Central, Research for Development Repository, ESRC Research Catalogue) Subject Repository Journal Website ConditionsPublished source must be acknowledged with citation |
Keywords: | AMO; ENSO; PDO; NAO; SAM; IOD; Modes of variability; Climate changes; Palaeoclimatology; Holocene; Proxy-based reconstructions |
Academic Unit: | Faculty of Science and Engineering > Mathematics and Statistics Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS |
Item ID: | 16224 |
Identification Number: | 10.1016/j.earscirev.2020.103286 |
Depositing User: | Andrew Parnell |
Date Deposited: | 05 Jul 2022 13:01 |
Journal or Publication Title: | Earth-Science Reviews |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/16224 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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