Can We Reconstruct Mean and Eddy Fluxes from Argo Floats?
International audience The capacity of deep velocity estimates provided by the Argo float array to reconstruct both mean and eddying quantities, such as the heat flux, is addressed using an idealized eddy resolving numerical model, designed to be representative of the Southern Ocean. The model is se...
Published in: | Ocean Modelling |
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Main Authors: | , |
Other Authors: | , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2017
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Online Access: | https://hal.sorbonne-universite.fr/hal-01618252 https://hal.sorbonne-universite.fr/hal-01618252/document https://hal.sorbonne-universite.fr/hal-01618252/file/1-s2.0-S1463500317301488-main.pdf https://doi.org/10.1016/j.ocemod.2017.10.004 |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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English |
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[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] |
spellingShingle |
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] Chapman, Christopher Sallée, Jean-Baptiste Can We Reconstruct Mean and Eddy Fluxes from Argo Floats? |
topic_facet |
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] |
description |
International audience The capacity of deep velocity estimates provided by the Argo float array to reconstruct both mean and eddying quantities, such as the heat flux, is addressed using an idealized eddy resolving numerical model, designed to be representative of the Southern Ocean. The model is seeded with 450 “virtual” Argo floats, which are then advected by the model fields for 10 years. The role of temporal sampling, array density and length of the float experiment are then systematically investigated by comparing the reconstructed velocity, eddy kinetic energy and heat-flux from the virtual Argo floats with the “true” values from the model output. We find that although errors in all three quantities decrease with increasing temporal sampling rate, number of floats and experiment duration, the error approaches an asymptotic limit. Thus, as these parameters exceed this limit, only marginal reductions in the error are observed. The parameters of the real Argo array, when scaled to match those of the virtual Argo array, generally fall near to, or within, the asymptotic region. Using the numerical model, a method for the calculation of cross-stream heat-fluxes is demonstrated. This methodology is then applied to 5 years of Argo derived velocities using the ANDRO dataset of Ollitrault & Rannou (2013) in order to estimate the eddy heat flux at 1000m depth across the Polar Front in the Southern Ocean. The heat-flux is concentrated in regions downstream of large bathymetric features, consistent with the results of previous studies. 2 ± 0.5TW of heat transport across the Polar Front at this depth is found, with more than 90% of that total concentrated in less than 20% of the total longitudes spanned by the front. Finally, the implications of this work for monitoring the ocean climate are discussed. |
author2 |
Processus de couplage à Petite Echelle, Ecosystèmes et Prédateurs Supérieurs (PEPS) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) National Science Foundation Division of Ocean Sciences Postdoctoral Fellowship 1521508 ANR-12-PDOC-0001,EXCITING,Explorer la structure tri-dimensionnelle de la circulation d'overturning de l'Océan Austral, et son impact sur le puits de carbone océanique(2012) |
format |
Article in Journal/Newspaper |
author |
Chapman, Christopher Sallée, Jean-Baptiste |
author_facet |
Chapman, Christopher Sallée, Jean-Baptiste |
author_sort |
Chapman, Christopher |
title |
Can We Reconstruct Mean and Eddy Fluxes from Argo Floats? |
title_short |
Can We Reconstruct Mean and Eddy Fluxes from Argo Floats? |
title_full |
Can We Reconstruct Mean and Eddy Fluxes from Argo Floats? |
title_fullStr |
Can We Reconstruct Mean and Eddy Fluxes from Argo Floats? |
title_full_unstemmed |
Can We Reconstruct Mean and Eddy Fluxes from Argo Floats? |
title_sort |
can we reconstruct mean and eddy fluxes from argo floats? |
publisher |
HAL CCSD |
publishDate |
2017 |
url |
https://hal.sorbonne-universite.fr/hal-01618252 https://hal.sorbonne-universite.fr/hal-01618252/document https://hal.sorbonne-universite.fr/hal-01618252/file/1-s2.0-S1463500317301488-main.pdf https://doi.org/10.1016/j.ocemod.2017.10.004 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
ISSN: 1463-5003 Ocean Modelling https://hal.sorbonne-universite.fr/hal-01618252 Ocean Modelling, Elsevier, 2017, 120, pp.83-100. ⟨10.1016/j.ocemod.2017.10.004⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ocemod.2017.10.004 hal-01618252 https://hal.sorbonne-universite.fr/hal-01618252 https://hal.sorbonne-universite.fr/hal-01618252/document https://hal.sorbonne-universite.fr/hal-01618252/file/1-s2.0-S1463500317301488-main.pdf doi:10.1016/j.ocemod.2017.10.004 WOS: 000417445200007 |
op_rights |
http://creativecommons.org/licenses/by-nc-nd/ info:eu-repo/semantics/OpenAccess |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1016/j.ocemod.2017.10.004 |
container_title |
Ocean Modelling |
container_volume |
120 |
container_start_page |
83 |
op_container_end_page |
100 |
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1766206590819500032 |
spelling |
ftccsdartic:oai:HAL:hal-01618252v1 2023-05-15T18:25:16+02:00 Can We Reconstruct Mean and Eddy Fluxes from Argo Floats? Chapman, Christopher Sallée, Jean-Baptiste Processus de couplage à Petite Echelle, Ecosystèmes et Prédateurs Supérieurs (PEPS) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) National Science Foundation Division of Ocean Sciences Postdoctoral Fellowship 1521508 ANR-12-PDOC-0001,EXCITING,Explorer la structure tri-dimensionnelle de la circulation d'overturning de l'Océan Austral, et son impact sur le puits de carbone océanique(2012) 2017-10 https://hal.sorbonne-universite.fr/hal-01618252 https://hal.sorbonne-universite.fr/hal-01618252/document https://hal.sorbonne-universite.fr/hal-01618252/file/1-s2.0-S1463500317301488-main.pdf https://doi.org/10.1016/j.ocemod.2017.10.004 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ocemod.2017.10.004 hal-01618252 https://hal.sorbonne-universite.fr/hal-01618252 https://hal.sorbonne-universite.fr/hal-01618252/document https://hal.sorbonne-universite.fr/hal-01618252/file/1-s2.0-S1463500317301488-main.pdf doi:10.1016/j.ocemod.2017.10.004 WOS: 000417445200007 http://creativecommons.org/licenses/by-nc-nd/ info:eu-repo/semantics/OpenAccess CC-BY-NC-ND ISSN: 1463-5003 Ocean Modelling https://hal.sorbonne-universite.fr/hal-01618252 Ocean Modelling, Elsevier, 2017, 120, pp.83-100. ⟨10.1016/j.ocemod.2017.10.004⟩ [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] info:eu-repo/semantics/article Journal articles 2017 ftccsdartic https://doi.org/10.1016/j.ocemod.2017.10.004 2021-12-05T02:47:04Z International audience The capacity of deep velocity estimates provided by the Argo float array to reconstruct both mean and eddying quantities, such as the heat flux, is addressed using an idealized eddy resolving numerical model, designed to be representative of the Southern Ocean. The model is seeded with 450 “virtual” Argo floats, which are then advected by the model fields for 10 years. The role of temporal sampling, array density and length of the float experiment are then systematically investigated by comparing the reconstructed velocity, eddy kinetic energy and heat-flux from the virtual Argo floats with the “true” values from the model output. We find that although errors in all three quantities decrease with increasing temporal sampling rate, number of floats and experiment duration, the error approaches an asymptotic limit. Thus, as these parameters exceed this limit, only marginal reductions in the error are observed. The parameters of the real Argo array, when scaled to match those of the virtual Argo array, generally fall near to, or within, the asymptotic region. Using the numerical model, a method for the calculation of cross-stream heat-fluxes is demonstrated. This methodology is then applied to 5 years of Argo derived velocities using the ANDRO dataset of Ollitrault & Rannou (2013) in order to estimate the eddy heat flux at 1000m depth across the Polar Front in the Southern Ocean. The heat-flux is concentrated in regions downstream of large bathymetric features, consistent with the results of previous studies. 2 ± 0.5TW of heat transport across the Polar Front at this depth is found, with more than 90% of that total concentrated in less than 20% of the total longitudes spanned by the front. Finally, the implications of this work for monitoring the ocean climate are discussed. Article in Journal/Newspaper Southern Ocean Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Southern Ocean Ocean Modelling 120 83 100 |