Chaotic Variability of Ocean Heat Content: Climate-Relevant Features and Observational Implications

Global ocean models that admit mesoscale turbulence spontaneously generate interannual-to-multidecadal chaotic intrinsic variability in the absence of atmospheric forcing variability at these timescales. This phenomenon is substantially weaker in non-turbulent ocean models but provides a marked stoc...

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Published in:Oceanography
Main Authors: Thierry Penduff, Guillaume Sérazin, Stéphanie Leroux, Sally Close, Jean-Marc Molines, Bernard Barnier, Laurent Bessières, Laurent Terray, Guillaume Maze
Format: Article in Journal/Newspaper
Language:English
Published: The Oceanography Society 2018
Subjects:
Online Access:https://doi.org/10.5670/oceanog.2018.210
https://doaj.org/article/a88a04d0153b4f1aade8b0fa70b828d5
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spelling ftdoajarticles:oai:doaj.org/article:a88a04d0153b4f1aade8b0fa70b828d5 2023-05-15T18:18:31+02:00 Chaotic Variability of Ocean Heat Content: Climate-Relevant Features and Observational Implications Thierry Penduff Guillaume Sérazin Stéphanie Leroux Sally Close Jean-Marc Molines Bernard Barnier Laurent Bessières Laurent Terray Guillaume Maze 2018-06-01T00:00:00Z https://doi.org/10.5670/oceanog.2018.210 https://doaj.org/article/a88a04d0153b4f1aade8b0fa70b828d5 EN eng The Oceanography Society https://doi.org/10.5670/oceanog.2018.210 https://doaj.org/toc/1042-8275 doi:10.5670/oceanog.2018.210 1042-8275 https://doaj.org/article/a88a04d0153b4f1aade8b0fa70b828d5 Oceanography, Vol 31, Iss 2, Pp 63-71 (2018) ocean models mesoscale turbulence ocean heat Oceanography GC1-1581 article 2018 ftdoajarticles https://doi.org/10.5670/oceanog.2018.210 2022-12-31T03:52:09Z Global ocean models that admit mesoscale turbulence spontaneously generate interannual-to-multidecadal chaotic intrinsic variability in the absence of atmospheric forcing variability at these timescales. This phenomenon is substantially weaker in non-turbulent ocean models but provides a marked stochastic flavor to the low-frequency variability in eddying ocean models, which are being coupled to the atmosphere for next-generation climate projections. In order to disentangle the atmospherically forced and intrinsic ocean variabilities, the OCCIPUT (Oceanic Chaos – Impacts, Structures, Predictability) project performed a long (1960–2015), large ensemble (50 members) of global ocean/sea ice 1/4° simulations driven by the same atmospheric reanalysis, but with perturbed initial conditions. Subsequent ensemble statistics show that the ocean variability can be seen as a broadband "noise," with characteristic scales reaching multiple decades and basin sizes, locally modulated by the atmospheric variability. In several mid-latitude regions, chaotic processes have more impact than atmospheric variability on both the low-frequency variability and the long-term trends of regional ocean heat content. Consequently, certain climate-relevant oceanic signals cannot be unambiguously attributed to atmospheric variability, raising new issues for the detection, attribution, and interpretation of oceanic heat variability and trends in the presence of mesoscale turbulence. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Oceanography 31 2
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic ocean models
mesoscale turbulence
ocean heat
Oceanography
GC1-1581
spellingShingle ocean models
mesoscale turbulence
ocean heat
Oceanography
GC1-1581
Thierry Penduff
Guillaume Sérazin
Stéphanie Leroux
Sally Close
Jean-Marc Molines
Bernard Barnier
Laurent Bessières
Laurent Terray
Guillaume Maze
Chaotic Variability of Ocean Heat Content: Climate-Relevant Features and Observational Implications
topic_facet ocean models
mesoscale turbulence
ocean heat
Oceanography
GC1-1581
description Global ocean models that admit mesoscale turbulence spontaneously generate interannual-to-multidecadal chaotic intrinsic variability in the absence of atmospheric forcing variability at these timescales. This phenomenon is substantially weaker in non-turbulent ocean models but provides a marked stochastic flavor to the low-frequency variability in eddying ocean models, which are being coupled to the atmosphere for next-generation climate projections. In order to disentangle the atmospherically forced and intrinsic ocean variabilities, the OCCIPUT (Oceanic Chaos – Impacts, Structures, Predictability) project performed a long (1960–2015), large ensemble (50 members) of global ocean/sea ice 1/4° simulations driven by the same atmospheric reanalysis, but with perturbed initial conditions. Subsequent ensemble statistics show that the ocean variability can be seen as a broadband "noise," with characteristic scales reaching multiple decades and basin sizes, locally modulated by the atmospheric variability. In several mid-latitude regions, chaotic processes have more impact than atmospheric variability on both the low-frequency variability and the long-term trends of regional ocean heat content. Consequently, certain climate-relevant oceanic signals cannot be unambiguously attributed to atmospheric variability, raising new issues for the detection, attribution, and interpretation of oceanic heat variability and trends in the presence of mesoscale turbulence.
format Article in Journal/Newspaper
author Thierry Penduff
Guillaume Sérazin
Stéphanie Leroux
Sally Close
Jean-Marc Molines
Bernard Barnier
Laurent Bessières
Laurent Terray
Guillaume Maze
author_facet Thierry Penduff
Guillaume Sérazin
Stéphanie Leroux
Sally Close
Jean-Marc Molines
Bernard Barnier
Laurent Bessières
Laurent Terray
Guillaume Maze
author_sort Thierry Penduff
title Chaotic Variability of Ocean Heat Content: Climate-Relevant Features and Observational Implications
title_short Chaotic Variability of Ocean Heat Content: Climate-Relevant Features and Observational Implications
title_full Chaotic Variability of Ocean Heat Content: Climate-Relevant Features and Observational Implications
title_fullStr Chaotic Variability of Ocean Heat Content: Climate-Relevant Features and Observational Implications
title_full_unstemmed Chaotic Variability of Ocean Heat Content: Climate-Relevant Features and Observational Implications
title_sort chaotic variability of ocean heat content: climate-relevant features and observational implications
publisher The Oceanography Society
publishDate 2018
url https://doi.org/10.5670/oceanog.2018.210
https://doaj.org/article/a88a04d0153b4f1aade8b0fa70b828d5
genre Sea ice
genre_facet Sea ice
op_source Oceanography, Vol 31, Iss 2, Pp 63-71 (2018)
op_relation https://doi.org/10.5670/oceanog.2018.210
https://doaj.org/toc/1042-8275
doi:10.5670/oceanog.2018.210
1042-8275
https://doaj.org/article/a88a04d0153b4f1aade8b0fa70b828d5
op_doi https://doi.org/10.5670/oceanog.2018.210
container_title Oceanography
container_volume 31
container_issue 2
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