Cautionary tales from the mesoscale eddy transport tensor
International audience The anisotropic mesoscale eddy transport tensor is diagnosed using passive tracers advected online in both an idealized 101-member mesoscale-resolving quasi-geostrophic (QG) double-gyre ensemble, and a realistic 24-member eddying (1∕12 •) ensemble of the North Atlantic. We ass...
Published in: | Ocean Modelling |
---|---|
Main Authors: | , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2023
|
Subjects: | |
Online Access: | https://hal.science/hal-04213098 https://hal.science/hal-04213098/document https://hal.science/hal-04213098/file/Eddy_diffusivity1.pdf https://doi.org/10.1016/j.ocemod.2023.102172 |
id |
ftunivbrest:oai:HAL:hal-04213098v1 |
---|---|
record_format |
openpolar |
spelling |
ftunivbrest:oai:HAL:hal-04213098v1 2024-05-19T07:45:03+00:00 Cautionary tales from the mesoscale eddy transport tensor Uchida, Takaya Balwada, Dhruv Jamet, Quentin Dewar, William, K Deremble, Bruno Penduff, Thierry Le Sommer, Julien Center for Ocean-Atmospheric Prediction Studies (COAPS) Florida State University Tallahassee (FSU) Lamont-Doherty Earth Observatory (LDEO) Columbia University New York 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)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) Océan Dynamique Observations Analyse (ODYSSEY) Université de Rennes (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Inria Rennes – Bretagne Atlantique Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT) Institut de Recherche Mathématique de Rennes (IRMAR) Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut Agro Rennes Angers Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) ANR-18-MPGA-0002,CONTACTS,Turbulence homogène de l'océan pour les simulateurs climatiques(2018) 2023 https://hal.science/hal-04213098 https://hal.science/hal-04213098/document https://hal.science/hal-04213098/file/Eddy_diffusivity1.pdf https://doi.org/10.1016/j.ocemod.2023.102172 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ocemod.2023.102172 hal-04213098 https://hal.science/hal-04213098 https://hal.science/hal-04213098/document https://hal.science/hal-04213098/file/Eddy_diffusivity1.pdf doi:10.1016/j.ocemod.2023.102172 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1463-5003 Ocean Modelling https://hal.science/hal-04213098 Ocean Modelling, 2023, 182, pp.102172. ⟨10.1016/j.ocemod.2023.102172⟩ Ensemble simulation Mesoscale eddy Eddy diffusivity Thickness-weighted average [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography info:eu-repo/semantics/article Journal articles 2023 ftunivbrest https://doi.org/10.1016/j.ocemod.2023.102172 2024-05-01T23:48:47Z International audience The anisotropic mesoscale eddy transport tensor is diagnosed using passive tracers advected online in both an idealized 101-member mesoscale-resolving quasi-geostrophic (QG) double-gyre ensemble, and a realistic 24-member eddying (1∕12 •) ensemble of the North Atlantic. We assert that the Reynold's decomposition along the ensemble dimension, rather than the spatial or temporal dimension, allows us to capture the intrinsic spatiotemporal variability of the mean flow and eddies. The tensor exhibits good performance in reconstructing the eddy fluxes of passive tracers, here defined as fluctuations about the ensemble thickness-weighted averaged (TWA) mean. However, the inability of the tensor to reconstruct eddy fluxes of QG potential vorticity, which encapsulates the eddy-mean flow interaction, and other active tracers raises the question: To what extent can the diagnosed tensor be applied to inform the parametrization of mesoscale dynamics? Article in Journal/Newspaper North Atlantic Université de Bretagne Occidentale: HAL Ocean Modelling 182 102172 |
institution |
Open Polar |
collection |
Université de Bretagne Occidentale: HAL |
op_collection_id |
ftunivbrest |
language |
English |
topic |
Ensemble simulation Mesoscale eddy Eddy diffusivity Thickness-weighted average [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
spellingShingle |
Ensemble simulation Mesoscale eddy Eddy diffusivity Thickness-weighted average [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography Uchida, Takaya Balwada, Dhruv Jamet, Quentin Dewar, William, K Deremble, Bruno Penduff, Thierry Le Sommer, Julien Cautionary tales from the mesoscale eddy transport tensor |
topic_facet |
Ensemble simulation Mesoscale eddy Eddy diffusivity Thickness-weighted average [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
description |
International audience The anisotropic mesoscale eddy transport tensor is diagnosed using passive tracers advected online in both an idealized 101-member mesoscale-resolving quasi-geostrophic (QG) double-gyre ensemble, and a realistic 24-member eddying (1∕12 •) ensemble of the North Atlantic. We assert that the Reynold's decomposition along the ensemble dimension, rather than the spatial or temporal dimension, allows us to capture the intrinsic spatiotemporal variability of the mean flow and eddies. The tensor exhibits good performance in reconstructing the eddy fluxes of passive tracers, here defined as fluctuations about the ensemble thickness-weighted averaged (TWA) mean. However, the inability of the tensor to reconstruct eddy fluxes of QG potential vorticity, which encapsulates the eddy-mean flow interaction, and other active tracers raises the question: To what extent can the diagnosed tensor be applied to inform the parametrization of mesoscale dynamics? |
author2 |
Center for Ocean-Atmospheric Prediction Studies (COAPS) Florida State University Tallahassee (FSU) Lamont-Doherty Earth Observatory (LDEO) Columbia University New York 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)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) Océan Dynamique Observations Analyse (ODYSSEY) Université de Rennes (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Inria Rennes – Bretagne Atlantique Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT) Institut de Recherche Mathématique de Rennes (IRMAR) Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut Agro Rennes Angers Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) ANR-18-MPGA-0002,CONTACTS,Turbulence homogène de l'océan pour les simulateurs climatiques(2018) |
format |
Article in Journal/Newspaper |
author |
Uchida, Takaya Balwada, Dhruv Jamet, Quentin Dewar, William, K Deremble, Bruno Penduff, Thierry Le Sommer, Julien |
author_facet |
Uchida, Takaya Balwada, Dhruv Jamet, Quentin Dewar, William, K Deremble, Bruno Penduff, Thierry Le Sommer, Julien |
author_sort |
Uchida, Takaya |
title |
Cautionary tales from the mesoscale eddy transport tensor |
title_short |
Cautionary tales from the mesoscale eddy transport tensor |
title_full |
Cautionary tales from the mesoscale eddy transport tensor |
title_fullStr |
Cautionary tales from the mesoscale eddy transport tensor |
title_full_unstemmed |
Cautionary tales from the mesoscale eddy transport tensor |
title_sort |
cautionary tales from the mesoscale eddy transport tensor |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.science/hal-04213098 https://hal.science/hal-04213098/document https://hal.science/hal-04213098/file/Eddy_diffusivity1.pdf https://doi.org/10.1016/j.ocemod.2023.102172 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
ISSN: 1463-5003 Ocean Modelling https://hal.science/hal-04213098 Ocean Modelling, 2023, 182, pp.102172. ⟨10.1016/j.ocemod.2023.102172⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ocemod.2023.102172 hal-04213098 https://hal.science/hal-04213098 https://hal.science/hal-04213098/document https://hal.science/hal-04213098/file/Eddy_diffusivity1.pdf doi:10.1016/j.ocemod.2023.102172 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1016/j.ocemod.2023.102172 |
container_title |
Ocean Modelling |
container_volume |
182 |
container_start_page |
102172 |
_version_ |
1799484967198130176 |