A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations
International audience Drawing on a 50-member ocean ensemble hindcast, the magnitude and characteristic temporal and spatial scales of intrinsic and forced sea surface height (SSH) variability are evaluated over a 37-year period. The intrinsic and forced contributions derived from the ensemble are f...
Published in: | Progress in Oceanography |
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ftinspolytechpar:oai:HAL:hal-02518987v1 2024-06-16T07:41:53+00:00 A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations Close, S. Penduff, T. Speich, S. Molines, J.-M. Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) 2020-05 https://hal.univ-brest.fr/hal-02518987 https://hal.univ-brest.fr/hal-02518987/document https://hal.univ-brest.fr/hal-02518987/file/close2020.pdf https://doi.org/10.1016/j.pocean.2020.102314 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.pocean.2020.102314 hal-02518987 https://hal.univ-brest.fr/hal-02518987 https://hal.univ-brest.fr/hal-02518987/document https://hal.univ-brest.fr/hal-02518987/file/close2020.pdf doi:10.1016/j.pocean.2020.102314 info:eu-repo/semantics/OpenAccess ISSN: 0079-6611 Progress in Oceanography https://hal.univ-brest.fr/hal-02518987 Progress in Oceanography, 2020, 184, pp.102314. ⟨10.1016/j.pocean.2020.102314⟩ Sea level Intrinsic Variability Atmosphere-ocean interaction [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] info:eu-repo/semantics/article Journal articles 2020 ftinspolytechpar https://doi.org/10.1016/j.pocean.2020.102314 2024-05-19T23:44:35Z International audience Drawing on a 50-member ocean ensemble hindcast, the magnitude and characteristic temporal and spatial scales of intrinsic and forced sea surface height (SSH) variability are evaluated over a 37-year period. The intrinsic and forced contributions derived from the ensemble are found to have similar temporal spectra, but different characteristic spatial scales. These results suggest that, with an appropriate choice of cutoff scales, simple spatial filtering can be used to estimate the forced and intrinsic contributions given either a single model run, or an observational data set. The method is tested using a single member drawn from the ensemble, before being applied to the observed altimetric record. Two sample applications with relevance to large-scale climate are used to illustrate the method's potential utility. Firstly, the long-term trends calculated from the total and recreated forced components using the altimetric record are compared and local differences highlighted. Second, the recreated forced SSH is shown to covary with the North Atlantic Oscillation at seasonal time scales in regions where no such influence can be found using the original SSH signal. Some limitations and uses for which the method may prove unsuitable are also briefly considered. Article in Journal/Newspaper North Atlantic North Atlantic oscillation HAL de l'Institut Polytechnique de Paris Progress in Oceanography 184 102314 |
institution |
Open Polar |
collection |
HAL de l'Institut Polytechnique de Paris |
op_collection_id |
ftinspolytechpar |
language |
English |
topic |
Sea level Intrinsic Variability Atmosphere-ocean interaction [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] |
spellingShingle |
Sea level Intrinsic Variability Atmosphere-ocean interaction [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] Close, S. Penduff, T. Speich, S. Molines, J.-M. A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations |
topic_facet |
Sea level Intrinsic Variability Atmosphere-ocean interaction [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] |
description |
International audience Drawing on a 50-member ocean ensemble hindcast, the magnitude and characteristic temporal and spatial scales of intrinsic and forced sea surface height (SSH) variability are evaluated over a 37-year period. The intrinsic and forced contributions derived from the ensemble are found to have similar temporal spectra, but different characteristic spatial scales. These results suggest that, with an appropriate choice of cutoff scales, simple spatial filtering can be used to estimate the forced and intrinsic contributions given either a single model run, or an observational data set. The method is tested using a single member drawn from the ensemble, before being applied to the observed altimetric record. Two sample applications with relevance to large-scale climate are used to illustrate the method's potential utility. Firstly, the long-term trends calculated from the total and recreated forced components using the altimetric record are compared and local differences highlighted. Second, the recreated forced SSH is shown to covary with the North Atlantic Oscillation at seasonal time scales in regions where no such influence can be found using the original SSH signal. Some limitations and uses for which the method may prove unsuitable are also briefly considered. |
author2 |
Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Close, S. Penduff, T. Speich, S. Molines, J.-M. |
author_facet |
Close, S. Penduff, T. Speich, S. Molines, J.-M. |
author_sort |
Close, S. |
title |
A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations |
title_short |
A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations |
title_full |
A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations |
title_fullStr |
A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations |
title_full_unstemmed |
A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations |
title_sort |
means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.univ-brest.fr/hal-02518987 https://hal.univ-brest.fr/hal-02518987/document https://hal.univ-brest.fr/hal-02518987/file/close2020.pdf https://doi.org/10.1016/j.pocean.2020.102314 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
ISSN: 0079-6611 Progress in Oceanography https://hal.univ-brest.fr/hal-02518987 Progress in Oceanography, 2020, 184, pp.102314. ⟨10.1016/j.pocean.2020.102314⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.pocean.2020.102314 hal-02518987 https://hal.univ-brest.fr/hal-02518987 https://hal.univ-brest.fr/hal-02518987/document https://hal.univ-brest.fr/hal-02518987/file/close2020.pdf doi:10.1016/j.pocean.2020.102314 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1016/j.pocean.2020.102314 |
container_title |
Progress in Oceanography |
container_volume |
184 |
container_start_page |
102314 |
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1802009214450663424 |