An Energetically and Observationally Constrained Mesoscale Parameterization for Ocean Climate Models

Abstract An extension of the GEOMETRIC parameterization (Mak, Marshall, et al., 2022, https://doi.org/10.1029/2022ms003223 ) for the mesoscale eddy transport is proposed and tested in a one‐degree resolution global ocean model. It consists in solving a prognostic two‐dimensional equation for the eddy kinetic energy (EKE). The parameterized EKE budget is calibrated from an observation‐based estimate of the EKE reservoir, allowing an unprecedented realism of the subgrid EKE field within a global eddy‐parameterizing ocean configuration. The predicted EKE map is then used to specify temporal and spatial variability of both the Gent‐McWilliams coefficient () and the neutral diffusivity of tracers (), which display strong horizontal variations and a general decrease in polar regions. Using a suite of hindcast ocean simulations, we assess the respective effects of the novel distributions of and . Changes in impact strongly the simulated global ocean circulation: they increase the eastward volume transport through Drake Passage by 21 Sv ( ), and the Atlantic Meridional Overturning Circulation strength at 26°N by 2.6 Sv, reducing biases. Changes in can substantially modify the transfer of surface water properties into the ocean interior: we find a strong influence on sea surface temperatures and ocean heat storage. The results highlight the need to physically constrain mesoscale transport in ocean climate models. By linking the two eddy coefficients to the same subgrid EKE, itself constrained from indirect observations of EKE, our developments represent a significant advancement toward unified and energy‐consistent mesoscale parameterizations.

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Publication Details

Journal
Journal of Advances in Modeling Earth Systems
Published
2025-12-01
DOI
https://doi.org/10.1029/2025ms005394
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
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article

An Energetically and Observationally Constrained Mesoscale Parameterization for Ocean Climate Models

Roland Séférian, Julian Mak, Romain Torres, Casimir de Lavergne et al.
Journal of Advances in Modeling Earth Systems
Oceanographic and Atmospheric Processes
article

An Energetically and Observationally Constrained Mesoscale Parameterization for Ocean Climate Models

Roland Séférian, Julian Mak, Romain Torres, Casimir de Lavergne, Gurvan Madec, Robin Waldman
article en

Abstract

Abstract An extension of the GEOMETRIC parameterization (Mak, Marshall, et al., 2022, https://doi.org/10.1029/2022ms003223 ) for the mesoscale eddy transport is proposed and tested in a one‐degree resolution global ocean model. It consists in solving a prognostic two‐dimensional equation for the eddy kinetic energy (EKE). The parameterized EKE budget is calibrated from an observation‐based estimate of the EKE reservoir, allowing an unprecedented realism of the subgrid EKE field within a global eddy‐parameterizing ocean configuration. The predicted EKE map is then used to specify temporal and spatial variability of both the Gent‐McWilliams coefficient () and the neutral diffusivity of tracers (), which display strong horizontal variations and a general decrease in polar regions. Using a suite of hindcast ocean simulations, we assess the respective effects of the novel distributions of and . Changes in impact strongly the simulated global ocean circulation: they increase the eastward volume transport through Drake Passage by 21 Sv ( ), and the Atlantic Meridional Overturning Circulation strength at 26°N by 2.6 Sv, reducing biases. Changes in can substantially modify the transfer of surface water properties into the ocean interior: we find a strong influence on sea surface temperatures and ocean heat storage. The results highlight the need to physically constrain mesoscale transport in ocean climate models. By linking the two eddy coefficients to the same subgrid EKE, itself constrained from indirect observations of EKE, our developments represent a significant advancement toward unified and energy‐consistent mesoscale parameterizations.

Journal of Advances in Modeling Earth SystemsVol. 17(12)
Centre National de la Recherche Scientifique (FR), National Oceanography Centre (GB), Hong Kong University of Science and Technology (HK), Sorbonne Université (FR), Météo-France (FR), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR), Institut de Recherche pour le Développement (FR), University of Hong Kong (HK)
Openalex Percentile: Top 61%
Oceanographic and Atmospheric Processes
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