On the ability of OMIP models to simulate the ocean mixed layer depth and its seasonal cycle in the Arctic Ocean

We evaluate the skills of ocean–sea ice general circulation models involved in the Ocean Modeling Intercomparison Project in simulating the ocean mixed layer depth and its seasonal cycle in the Arctic region. During summer months, all models consistently underestimate the mixed layer depth compare...

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Published in:Ocean Modelling
Main Authors: Allende Contador, Sofia, Fichefet, Thierry, Goosse, Hugues, Treguier, A.M.
Other Authors: UCL - SST/ELI/ELIC - Earth & Climate
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier Inc. 2023
Subjects:
Online Access:http://hdl.handle.net/2078.1/275330
https://doi.org/10.1016/j.ocemod.2023.102226
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spelling ftunistlouisbrus:oai:dial.uclouvain.be:boreal:275330 2024-05-12T07:59:36+00:00 On the ability of OMIP models to simulate the ocean mixed layer depth and its seasonal cycle in the Arctic Ocean Allende Contador, Sofia Fichefet, Thierry Goosse, Hugues Treguier, A.M. UCL - SST/ELI/ELIC - Earth & Climate 2023 http://hdl.handle.net/2078.1/275330 https://doi.org/10.1016/j.ocemod.2023.102226 eng eng Elsevier Inc. boreal:275330 http://hdl.handle.net/2078.1/275330 doi:10.1016/j.ocemod.2023.102226 urn:ISSN:1463-5003 urn:EISSN:1463-5011 info:eu-repo/semantics/openAccess Ocean Modelling, Vol. 184, p. 102226 (2023) Atmospheric Science Geotechnical Engineering and Engineering Geology Computer Science (miscellaneous) Oceanography info:eu-repo/semantics/article 2023 ftunistlouisbrus https://doi.org/10.1016/j.ocemod.2023.102226 2024-04-18T17:05:27Z We evaluate the skills of ocean–sea ice general circulation models involved in the Ocean Modeling Intercomparison Project in simulating the ocean mixed layer depth and its seasonal cycle in the Arctic region. During summer months, all models consistently underestimate the mixed layer depth compared to observational data from the Monthly Isopycnal Mixed layer Ocean Climatology and the Ice Tethered Profilers. In fall and winter, the models exhibit great variability compared to observational data, and inter-model comparison reveals differences up to several tens of meters. We analyze the origin of the fall and winter model biases in ice-covered regions, where the seasonal cycle of the surface salinity and mixed layer depth is strongly influenced by brine rejection resulting from ocean–sea ice interactions. Focusing first on the central Arctic Ocean, defined here as the region north of 80 N, we show that all models simulate more or less the same vertical sea ice mass balance and thus similar salt fluxes into the ocean during sea ice freezing. Furthermore, the model ensemble features a strong relationship between the stratification profile in September and the mixed layer depth at the end of winter. The models whose stratification compares the best to observational data also display the most realistic values of the mixed layer depth at the end of winter. We argue that the discrepancies between models are therefore not so much linked to the surface salt balance but rather to the accuracy with which those models reproduce the vertical salinity profile. In short, a weakly stratified ocean tends to create a deep mixed layer, while strong stratification leads to a shallow mixed layer. To substantiate this conclusion, we apply a simple conceptual model, which simulates the month-to-month evolution of the mixed layer depth using as input the vertical salinity gradients and the surface salt fluxes from general circulation models. Quite surprisingly, this simplified dynamics captures very well the behavior of the general ... Article in Journal/Newspaper Arctic Arctic Ocean Sea ice DIAL@USL-B (Université Saint-Louis, Bruxelles) Arctic Arctic Ocean Ocean Modelling 184 102226
institution Open Polar
collection DIAL@USL-B (Université Saint-Louis, Bruxelles)
op_collection_id ftunistlouisbrus
language English
topic Atmospheric Science
Geotechnical Engineering and Engineering Geology
Computer Science (miscellaneous)
Oceanography
spellingShingle Atmospheric Science
Geotechnical Engineering and Engineering Geology
Computer Science (miscellaneous)
Oceanography
Allende Contador, Sofia
Fichefet, Thierry
Goosse, Hugues
Treguier, A.M.
On the ability of OMIP models to simulate the ocean mixed layer depth and its seasonal cycle in the Arctic Ocean
topic_facet Atmospheric Science
Geotechnical Engineering and Engineering Geology
Computer Science (miscellaneous)
Oceanography
description We evaluate the skills of ocean–sea ice general circulation models involved in the Ocean Modeling Intercomparison Project in simulating the ocean mixed layer depth and its seasonal cycle in the Arctic region. During summer months, all models consistently underestimate the mixed layer depth compared to observational data from the Monthly Isopycnal Mixed layer Ocean Climatology and the Ice Tethered Profilers. In fall and winter, the models exhibit great variability compared to observational data, and inter-model comparison reveals differences up to several tens of meters. We analyze the origin of the fall and winter model biases in ice-covered regions, where the seasonal cycle of the surface salinity and mixed layer depth is strongly influenced by brine rejection resulting from ocean–sea ice interactions. Focusing first on the central Arctic Ocean, defined here as the region north of 80 N, we show that all models simulate more or less the same vertical sea ice mass balance and thus similar salt fluxes into the ocean during sea ice freezing. Furthermore, the model ensemble features a strong relationship between the stratification profile in September and the mixed layer depth at the end of winter. The models whose stratification compares the best to observational data also display the most realistic values of the mixed layer depth at the end of winter. We argue that the discrepancies between models are therefore not so much linked to the surface salt balance but rather to the accuracy with which those models reproduce the vertical salinity profile. In short, a weakly stratified ocean tends to create a deep mixed layer, while strong stratification leads to a shallow mixed layer. To substantiate this conclusion, we apply a simple conceptual model, which simulates the month-to-month evolution of the mixed layer depth using as input the vertical salinity gradients and the surface salt fluxes from general circulation models. Quite surprisingly, this simplified dynamics captures very well the behavior of the general ...
author2 UCL - SST/ELI/ELIC - Earth & Climate
format Article in Journal/Newspaper
author Allende Contador, Sofia
Fichefet, Thierry
Goosse, Hugues
Treguier, A.M.
author_facet Allende Contador, Sofia
Fichefet, Thierry
Goosse, Hugues
Treguier, A.M.
author_sort Allende Contador, Sofia
title On the ability of OMIP models to simulate the ocean mixed layer depth and its seasonal cycle in the Arctic Ocean
title_short On the ability of OMIP models to simulate the ocean mixed layer depth and its seasonal cycle in the Arctic Ocean
title_full On the ability of OMIP models to simulate the ocean mixed layer depth and its seasonal cycle in the Arctic Ocean
title_fullStr On the ability of OMIP models to simulate the ocean mixed layer depth and its seasonal cycle in the Arctic Ocean
title_full_unstemmed On the ability of OMIP models to simulate the ocean mixed layer depth and its seasonal cycle in the Arctic Ocean
title_sort on the ability of omip models to simulate the ocean mixed layer depth and its seasonal cycle in the arctic ocean
publisher Elsevier Inc.
publishDate 2023
url http://hdl.handle.net/2078.1/275330
https://doi.org/10.1016/j.ocemod.2023.102226
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_source Ocean Modelling, Vol. 184, p. 102226 (2023)
op_relation boreal:275330
http://hdl.handle.net/2078.1/275330
doi:10.1016/j.ocemod.2023.102226
urn:ISSN:1463-5003
urn:EISSN:1463-5011
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1016/j.ocemod.2023.102226
container_title Ocean Modelling
container_volume 184
container_start_page 102226
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