Parameterizing the impact of unresolved temperature variability on the large‐scale density field: 2. Modeling
Ocean circulation models have systematic errors in large-scale horizontal density gradients due to estimating the grid-cell-mean density by applying the nonlinear seawater equation of state to the grid-cell-mean water properties. In frontal regions where unresolved subgrid-scale (SGS) fluctuations a...
Published in: | Journal of Advances in Modeling Earth Systems |
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Online Access: | https://doi.org/10.1029/2021MS002844 |
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ftncar:oai:drupal-site.org:articles_25284 2024-04-14T08:10:52+00:00 Parameterizing the impact of unresolved temperature variability on the large‐scale density field: 2. Modeling Kenigson, J.S. (author) Adcroft, A. (author) Bachman, Scott D. (author) Castruccio, Frederic (author) Grooms, I. (author) Pegion, P. (author) Stanley, Z. (author) 2022-03 https://doi.org/10.1029/2021MS002844 en eng Journal of Advances in Modeling Earth Systems--J Adv Model Earth Syst--1942-2466--1942-2466 jskenigson/MOM6: Source Code for "Parameterizing the Impact of Unresolved Temperature Variability on the Large‐Scale Density Field: Part 2. Modeling"--10.5281/zenodo.5793964 articles:25284 doi:10.1029/2021MS002844 ark:/85065/d7np282w Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. article Text 2022 ftncar https://doi.org/10.1029/2021MS002844 2024-03-21T18:00:26Z Ocean circulation models have systematic errors in large-scale horizontal density gradients due to estimating the grid-cell-mean density by applying the nonlinear seawater equation of state to the grid-cell-mean water properties. In frontal regions where unresolved subgrid-scale (SGS) fluctuations are significant, dynamically relevant errors in the representation of current systems can result. A previous study developed a novel and computationally efficient parameterization of the unresolved SGS temperature variance and resulting density correction. This parameterization was empirically validated but not tested in an ocean model. In this study, we implement deterministic and stochastic variants of this parameterization in the pressure-gradient force term of a coupled ocean-sea ice configuration of the community Earth system model-modular ocean model version 6 and perform a suite of hindcast sensitivity experiments to investigate the ocean response. The parameterization leads to coherent changes in the large-scale ocean circulation and hydrography, particularly in the Nordic Seas and Labrador Sea, which are attributable in large part to changes in the seasonally varying upper-ocean exchange through Denmark Strait. In addition, the separated Gulf Stream strengthens and shifts equatorward, reducing a common bias in coarse-resolution ocean models. The ocean response to the deterministic and stochastic variants of the parameterization is qualitatively, albeit not quantitatively, similar, yet qualitative differences are found in various regions. NA18OAR4310429 Article in Journal/Newspaper Denmark Strait Labrador Sea Nordic Seas Sea ice OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Journal of Advances in Modeling Earth Systems 14 3 |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
description |
Ocean circulation models have systematic errors in large-scale horizontal density gradients due to estimating the grid-cell-mean density by applying the nonlinear seawater equation of state to the grid-cell-mean water properties. In frontal regions where unresolved subgrid-scale (SGS) fluctuations are significant, dynamically relevant errors in the representation of current systems can result. A previous study developed a novel and computationally efficient parameterization of the unresolved SGS temperature variance and resulting density correction. This parameterization was empirically validated but not tested in an ocean model. In this study, we implement deterministic and stochastic variants of this parameterization in the pressure-gradient force term of a coupled ocean-sea ice configuration of the community Earth system model-modular ocean model version 6 and perform a suite of hindcast sensitivity experiments to investigate the ocean response. The parameterization leads to coherent changes in the large-scale ocean circulation and hydrography, particularly in the Nordic Seas and Labrador Sea, which are attributable in large part to changes in the seasonally varying upper-ocean exchange through Denmark Strait. In addition, the separated Gulf Stream strengthens and shifts equatorward, reducing a common bias in coarse-resolution ocean models. The ocean response to the deterministic and stochastic variants of the parameterization is qualitatively, albeit not quantitatively, similar, yet qualitative differences are found in various regions. NA18OAR4310429 |
author2 |
Kenigson, J.S. (author) Adcroft, A. (author) Bachman, Scott D. (author) Castruccio, Frederic (author) Grooms, I. (author) Pegion, P. (author) Stanley, Z. (author) |
format |
Article in Journal/Newspaper |
title |
Parameterizing the impact of unresolved temperature variability on the large‐scale density field: 2. Modeling |
spellingShingle |
Parameterizing the impact of unresolved temperature variability on the large‐scale density field: 2. Modeling |
title_short |
Parameterizing the impact of unresolved temperature variability on the large‐scale density field: 2. Modeling |
title_full |
Parameterizing the impact of unresolved temperature variability on the large‐scale density field: 2. Modeling |
title_fullStr |
Parameterizing the impact of unresolved temperature variability on the large‐scale density field: 2. Modeling |
title_full_unstemmed |
Parameterizing the impact of unresolved temperature variability on the large‐scale density field: 2. Modeling |
title_sort |
parameterizing the impact of unresolved temperature variability on the large‐scale density field: 2. modeling |
publishDate |
2022 |
url |
https://doi.org/10.1029/2021MS002844 |
genre |
Denmark Strait Labrador Sea Nordic Seas Sea ice |
genre_facet |
Denmark Strait Labrador Sea Nordic Seas Sea ice |
op_relation |
Journal of Advances in Modeling Earth Systems--J Adv Model Earth Syst--1942-2466--1942-2466 jskenigson/MOM6: Source Code for "Parameterizing the Impact of Unresolved Temperature Variability on the Large‐Scale Density Field: Part 2. Modeling"--10.5281/zenodo.5793964 articles:25284 doi:10.1029/2021MS002844 ark:/85065/d7np282w |
op_rights |
Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
op_doi |
https://doi.org/10.1029/2021MS002844 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
14 |
container_issue |
3 |
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1796308523139727360 |