Author
Shi, H.Jin, F.-F.
Wills, R.C.J.
Jacox, M.G.
Amaya, D.J.
Black, B.A.
Rykaczewski, R.R.
Bograd, S.J.
García-Reyes, M.
Sydeman, W.J.
Affiliation
Laboratory of Tree-Ring Research, University of ArizonaIssue Date
2022
Metadata
Show full item recordCitation
Shi, H., Jin, F.-F., Wills, R. C. J., Jacox, M. G., Amaya, D. J., Black, B. A., Rykaczewski, R. R., Bograd, S. J., García-Reyes, M., & Sydeman, W. J. (2022). Global decline in ocean memory over the 21st century. Science Advances, 8(18).Journal
Science AdvancesRights
Copyright © 2022. The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S.Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).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
Ocean memory, the persistence of ocean conditions, is a major source of predictability in the climate system beyond weather time scales. We show that ocean memory, as measured by the year-to-year persistence of sea surface temperature anomalies, is projected to steadily decline in the coming decades over much of the globe. This global decline in ocean memory is predominantly driven by shoaling of the upper-ocean mixed layer depth in response to global surface warming, while thermodynamic and dynamic feedbacks can contribute substantially regionally. As the mixed layer depth shoals, stochastic forcing becomes more effective in driving sea surface temperature anomalies, increasing high-frequency noise at the expense of persistent signals. Reduced ocean memory results in shorter lead times of skillful persistence-based predictions of sea surface thermal conditions, which may present previously unknown challenges for predicting climate extremes and managing marine biological resources under climate change. Copyright © 2022 The Authors,Note
Open access journalISSN
2375-2548PubMed ID
35522743Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1126/sciadv.abm3468
Scopus Count
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Except where otherwise noted, this item's license is described as Copyright © 2022. The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S.Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).
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