Intrinsic Variability of Sea Level from Global Ocean Simulations: Spatiotemporal Scales
International audience In high-resolution ocean general circulation models (OGCMs), as in process-oriented models, a substantial amount of interannual to decadal variability is generated spontaneously by oceanic nonlinearities: that is, without any variability in the atmospheric forcing at these tim...
Published in: | Journal of Climate |
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Main Authors: | , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2015
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Online Access: | https://hal.science/hal-03003570 https://hal.science/hal-03003570/document https://hal.science/hal-03003570/file/%5B15200442%20-%20Journal%20of%20Climate%5D%20Intrinsic%20Variability%20of%20Sea%20Level%20from%20Global%20Ocean%20Simulations%20Spatiotemporal%20Scales.pdf https://doi.org/10.1175/JCLI-D-14-00554.1 |
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Université Grenoble Alpes: HAL |
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English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
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[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Sérazin, Guillaume Penduff, Thierry Grégorio, Sandy Barnier, Bernard Molines, Jean-Marc Terray, Laurent Intrinsic Variability of Sea Level from Global Ocean Simulations: Spatiotemporal Scales |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience In high-resolution ocean general circulation models (OGCMs), as in process-oriented models, a substantial amount of interannual to decadal variability is generated spontaneously by oceanic nonlinearities: that is, without any variability in the atmospheric forcing at these time scales. The authors investigate the temporal and spatial scales at which this intrinsic oceanic variability has the strongest imprints on sea level anomalies (SLAs) using a 1 /128 global OGCM, by comparing a ''hindcast'' driven by the full range of atmospheric time scales with its counterpart forced by a repeated climatological atmospheric seasonal cycle. Outputs from both simulations are compared within distinct frequency-wavenumber bins. The fully forced hindcast is shown to reproduce the observed distribution and magnitude of low-frequency SLA variability very accurately. The small-scale (L , 68) SLA variance is, at all time scales, barely sensitive to atmospheric variability and is almost entirely of intrinsic origin. The high-frequency (mesoscale) part and the low-frequency part of this small-scale variability have almost identical geographical distributions, supporting the hypothesis of a nonlinear temporal inverse cascade spontaneously transferring kinetic energy from high to low frequencies. The large-scale (L. 128) low-frequency variability is mostly related to the atmospheric variability over most of the global ocean, but it is shown to remain largely intrinsic in three eddy-active regions: the Gulf Stream, Kuroshio, and Antarctic Circumpolar Current (ACC). Compared to its 1 /48 predecessor, the authors' 1 /128 OGCM is shown to yield a stronger intrinsic SLA variability, at both mesoscale and low frequencies. |
author2 |
Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) P.P. Shirshov Institute of Oceanology (SIO) Russian Academy of Sciences Moscow (RAS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) |
format |
Article in Journal/Newspaper |
author |
Sérazin, Guillaume Penduff, Thierry Grégorio, Sandy Barnier, Bernard Molines, Jean-Marc Terray, Laurent |
author_facet |
Sérazin, Guillaume Penduff, Thierry Grégorio, Sandy Barnier, Bernard Molines, Jean-Marc Terray, Laurent |
author_sort |
Sérazin, Guillaume |
title |
Intrinsic Variability of Sea Level from Global Ocean Simulations: Spatiotemporal Scales |
title_short |
Intrinsic Variability of Sea Level from Global Ocean Simulations: Spatiotemporal Scales |
title_full |
Intrinsic Variability of Sea Level from Global Ocean Simulations: Spatiotemporal Scales |
title_fullStr |
Intrinsic Variability of Sea Level from Global Ocean Simulations: Spatiotemporal Scales |
title_full_unstemmed |
Intrinsic Variability of Sea Level from Global Ocean Simulations: Spatiotemporal Scales |
title_sort |
intrinsic variability of sea level from global ocean simulations: spatiotemporal scales |
publisher |
HAL CCSD |
publishDate |
2015 |
url |
https://hal.science/hal-03003570 https://hal.science/hal-03003570/document https://hal.science/hal-03003570/file/%5B15200442%20-%20Journal%20of%20Climate%5D%20Intrinsic%20Variability%20of%20Sea%20Level%20from%20Global%20Ocean%20Simulations%20Spatiotemporal%20Scales.pdf https://doi.org/10.1175/JCLI-D-14-00554.1 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
ISSN: 0894-8755 EISSN: 1520-0442 Journal of Climate https://hal.science/hal-03003570 Journal of Climate, 2015, 28 (10), pp.4279-4292. ⟨10.1175/JCLI-D-14-00554.1⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1175/JCLI-D-14-00554.1 hal-03003570 https://hal.science/hal-03003570 https://hal.science/hal-03003570/document https://hal.science/hal-03003570/file/%5B15200442%20-%20Journal%20of%20Climate%5D%20Intrinsic%20Variability%20of%20Sea%20Level%20from%20Global%20Ocean%20Simulations%20Spatiotemporal%20Scales.pdf doi:10.1175/JCLI-D-14-00554.1 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1175/JCLI-D-14-00554.1 |
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Journal of Climate |
container_volume |
28 |
container_issue |
10 |
container_start_page |
4279 |
op_container_end_page |
4292 |
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spelling |
ftunigrenoble:oai:HAL:hal-03003570v1 2024-05-12T07:54:57+00:00 Intrinsic Variability of Sea Level from Global Ocean Simulations: Spatiotemporal Scales Sérazin, Guillaume Penduff, Thierry Grégorio, Sandy Barnier, Bernard Molines, Jean-Marc Terray, Laurent Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) P.P. Shirshov Institute of Oceanology (SIO) Russian Academy of Sciences Moscow (RAS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) 2015-05-15 https://hal.science/hal-03003570 https://hal.science/hal-03003570/document https://hal.science/hal-03003570/file/%5B15200442%20-%20Journal%20of%20Climate%5D%20Intrinsic%20Variability%20of%20Sea%20Level%20from%20Global%20Ocean%20Simulations%20Spatiotemporal%20Scales.pdf https://doi.org/10.1175/JCLI-D-14-00554.1 en eng HAL CCSD American Meteorological Society info:eu-repo/semantics/altIdentifier/doi/10.1175/JCLI-D-14-00554.1 hal-03003570 https://hal.science/hal-03003570 https://hal.science/hal-03003570/document https://hal.science/hal-03003570/file/%5B15200442%20-%20Journal%20of%20Climate%5D%20Intrinsic%20Variability%20of%20Sea%20Level%20from%20Global%20Ocean%20Simulations%20Spatiotemporal%20Scales.pdf doi:10.1175/JCLI-D-14-00554.1 info:eu-repo/semantics/OpenAccess ISSN: 0894-8755 EISSN: 1520-0442 Journal of Climate https://hal.science/hal-03003570 Journal of Climate, 2015, 28 (10), pp.4279-4292. ⟨10.1175/JCLI-D-14-00554.1⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2015 ftunigrenoble https://doi.org/10.1175/JCLI-D-14-00554.1 2024-04-18T03:20:18Z International audience In high-resolution ocean general circulation models (OGCMs), as in process-oriented models, a substantial amount of interannual to decadal variability is generated spontaneously by oceanic nonlinearities: that is, without any variability in the atmospheric forcing at these time scales. The authors investigate the temporal and spatial scales at which this intrinsic oceanic variability has the strongest imprints on sea level anomalies (SLAs) using a 1 /128 global OGCM, by comparing a ''hindcast'' driven by the full range of atmospheric time scales with its counterpart forced by a repeated climatological atmospheric seasonal cycle. Outputs from both simulations are compared within distinct frequency-wavenumber bins. The fully forced hindcast is shown to reproduce the observed distribution and magnitude of low-frequency SLA variability very accurately. The small-scale (L , 68) SLA variance is, at all time scales, barely sensitive to atmospheric variability and is almost entirely of intrinsic origin. The high-frequency (mesoscale) part and the low-frequency part of this small-scale variability have almost identical geographical distributions, supporting the hypothesis of a nonlinear temporal inverse cascade spontaneously transferring kinetic energy from high to low frequencies. The large-scale (L. 128) low-frequency variability is mostly related to the atmospheric variability over most of the global ocean, but it is shown to remain largely intrinsic in three eddy-active regions: the Gulf Stream, Kuroshio, and Antarctic Circumpolar Current (ACC). Compared to its 1 /48 predecessor, the authors' 1 /128 OGCM is shown to yield a stronger intrinsic SLA variability, at both mesoscale and low frequencies. Article in Journal/Newspaper Antarc* Antarctic Université Grenoble Alpes: HAL Antarctic Journal of Climate 28 10 4279 4292 |