A re-appraisal of the ENSO response to volcanism with paleoclimate data assimilation
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Author
Zhu, F.Emile-Geay, J.
Anchukaitis, K.J.
Hakim, G.J.
Wittenberg, A.T.
Morales, M.S.
Toohey, M.
King, J.
Affiliation
Laboratory of Tree-Ring Research, University of ArizonaSchool of Geography, Development, and Environment, University of Arizona
Department of Geosciences, University of Arizona
Issue Date
2022
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Nature ResearchCitation
Zhu, F., Emile-Geay, J., Anchukaitis, K. J., Hakim, G. J., Wittenberg, A. T., Morales, M. S., Toohey, M., & King, J. (2022). A re-appraisal of the ENSO response to volcanism with paleoclimate data assimilation. Nature Communications.Journal
Nature CommunicationsRights
Copyright © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The potential for explosive volcanism to affect the El Niño-Southern Oscillation (ENSO) has been debated since the 1980s. Several observational studies, based largely on tree-ring proxies, have since found support for a positive ENSO phase in the year following large eruptions. In contrast, recent coral data from the heart of the tropical Pacific suggest no uniform ENSO response to explosive volcanism over the last millennium. Here we leverage paleoclimate data assimilation to integrate both tree-ring and coral proxies into a reconstruction of ENSO state, and re-appraise this relationship. We find only a weak statistical association between volcanism and ENSO, and identify the selection of volcanic events as a key variable to the conclusion. We discuss the difficulties of conclusively establishing a volcanic influence on ENSO by empirical means, given the myriad factors affecting the response, including the spatiotemporal details of the forcing and ENSO phase preconditioning. © 2022, The Author(s).Note
Open access journalISSN
2041-1723PubMed ID
35136047Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1038/s41467-022-28210-1
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Except where otherwise noted, this item's license is described as Copyright © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License.
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