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  North Atlantic subpolar gyre provides downstream ocean predictability

Fan, H., Borchert, L., Brune, S., Koul, V., & Baehr, J. (2023). North Atlantic subpolar gyre provides downstream ocean predictability. npj Climate and Atmospheric Science, 6: 145. doi:10.1038/s41612-023-00469-1.

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s41612-023-00469-1.pdf (Publisher version), 3MB
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 Creators:
Fan, Hongdou1, 2, Author
Borchert, Leonard1, Author
Brune, Sebastian1, Author
Koul, Vimal1, Author
Baehr, Johanna1, Author
Affiliations:
1Center for Earth System Research and Sustainability, University of Hamburg, External Organizations, Hamburg, DE, ou_3495873              
2IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913547              

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Free keywords: Atlantic Ocean, Atlantic Ocean (North), climate prediction, decadal variation, gyre, marine ecosystem, oceanic circulation, prediction
 Abstract: Slowly varying large-scale ocean circulation can provide climate predictability on decadal time scales. It has been hypothesized that the North Atlantic subpolar gyre (SPG) exerts substantial influence on climate predictability. However, a clear identification of the downstream impact of SPG variations is still lacking. Using the MPI-ESM-LR1.2 decadal prediction system, we show that along the Atlantic water pathway, a dynamical link to the SPG causes salinity to be considerably better predicted than temperature. By modulating the slow northward ocean propagation, the subsurface memory of SPG variations enables salinity to be skillfully predicted up to 8 years ahead. In contrast, the SPG loses influence on temperature before Atlantic water penetrates into the Nordic Seas, and in turn, limits temperature to be predicted only 2 years ahead. This study identifies the key role of SPG signals in downstream prediction and highlights how SPG signals determine prediction time scales for different quantities, opening the door for investigating potentially associated predictions in the subarctic for the earth system, marine ecosystems in particular. © 2023, Springer Nature Limited.

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Language(s): eng - English
 Dates: 2023-09-162023-09
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41612-023-00469-1
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Title: npj Climate and Atmospheric Science
Source Genre: Journal
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Publ. Info: London : Springer Nature
Pages: - Volume / Issue: 6 Sequence Number: 145 Start / End Page: - Identifier: ISSN: 2397-3722
CoNE: https://pure.mpg.de/cone/journals/resource/2397-3722