A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice

The heterogeneity of ocean surface conditions associated with a spatially variable sea ice cover needs to be represented in models in order to represent adequately mixed layer processes and the upper ocean density structure. This study assesses the sensitivity of the ocean-sea ice model NEMO-LIM to...

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Published in:Ocean Modelling
Main Authors: Barthélemy, Antoine, Fichefet, Thierry, Goosse, Hugues, Madec, Gurvan
Format: Article in Journal/Newspaper
Language:English
Published: 2016
Subjects:
Online Access:https://eprints.soton.ac.uk/398579/
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spelling ftsouthampton:oai:eprints.soton.ac.uk:398579 2023-07-30T04:06:43+02:00 A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice Barthélemy, Antoine Fichefet, Thierry Goosse, Hugues Madec, Gurvan 2016-08 https://eprints.soton.ac.uk/398579/ English eng Barthélemy, Antoine, Fichefet, Thierry, Goosse, Hugues and Madec, Gurvan (2016) A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice. Ocean Modelling, 104, 28-44. (doi:10.1016/j.ocemod.2016.05.005 <http://dx.doi.org/10.1016/j.ocemod.2016.05.005>). Article PeerReviewed 2016 ftsouthampton https://doi.org/10.1016/j.ocemod.2016.05.005 2023-07-09T22:09:43Z The heterogeneity of ocean surface conditions associated with a spatially variable sea ice cover needs to be represented in models in order to represent adequately mixed layer processes and the upper ocean density structure. This study assesses the sensitivity of the ocean-sea ice model NEMO-LIM to a subgrid-scale representation of ice-ocean interactions. The sea ice component includes an ice thickness distribution, which provides heterogeneous surface buoyancy fluxes and stresses. A multi-column ocean scheme is developed to take them explicitly into account, by computing convection and turbulent vertical mixing separately in the open water/lead fraction of grid cells and below each ice thickness category. For the first time in a three-dimensional simulation, the distinct temperature and salinity profiles of the ocean columns are allowed to be maintained over several time steps. It is shown that the model response is highly sensitive to the homogenization time scale between the columns. If the latter are laterally mixed with time scales shorter than 10 h, subgrid-scale effects exist but the mean state is practically unaffected. For longer mixing time scales, in both hemispheres, the main impacts are reductions in under-ice mean mixed layer depths and in the summer melt of sea ice, following decreased oceanic heat flux at the ice base. Large changes in the open water temperature in summer suggest that the scheme could trigger important feedback processes in coupled simulations. Article in Journal/Newspaper Sea ice University of Southampton: e-Prints Soton Ocean Modelling 104 28 44
institution Open Polar
collection University of Southampton: e-Prints Soton
op_collection_id ftsouthampton
language English
description The heterogeneity of ocean surface conditions associated with a spatially variable sea ice cover needs to be represented in models in order to represent adequately mixed layer processes and the upper ocean density structure. This study assesses the sensitivity of the ocean-sea ice model NEMO-LIM to a subgrid-scale representation of ice-ocean interactions. The sea ice component includes an ice thickness distribution, which provides heterogeneous surface buoyancy fluxes and stresses. A multi-column ocean scheme is developed to take them explicitly into account, by computing convection and turbulent vertical mixing separately in the open water/lead fraction of grid cells and below each ice thickness category. For the first time in a three-dimensional simulation, the distinct temperature and salinity profiles of the ocean columns are allowed to be maintained over several time steps. It is shown that the model response is highly sensitive to the homogenization time scale between the columns. If the latter are laterally mixed with time scales shorter than 10 h, subgrid-scale effects exist but the mean state is practically unaffected. For longer mixing time scales, in both hemispheres, the main impacts are reductions in under-ice mean mixed layer depths and in the summer melt of sea ice, following decreased oceanic heat flux at the ice base. Large changes in the open water temperature in summer suggest that the scheme could trigger important feedback processes in coupled simulations.
format Article in Journal/Newspaper
author Barthélemy, Antoine
Fichefet, Thierry
Goosse, Hugues
Madec, Gurvan
spellingShingle Barthélemy, Antoine
Fichefet, Thierry
Goosse, Hugues
Madec, Gurvan
A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice
author_facet Barthélemy, Antoine
Fichefet, Thierry
Goosse, Hugues
Madec, Gurvan
author_sort Barthélemy, Antoine
title A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice
title_short A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice
title_full A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice
title_fullStr A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice
title_full_unstemmed A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice
title_sort multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice
publishDate 2016
url https://eprints.soton.ac.uk/398579/
genre Sea ice
genre_facet Sea ice
op_relation Barthélemy, Antoine, Fichefet, Thierry, Goosse, Hugues and Madec, Gurvan (2016) A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice. Ocean Modelling, 104, 28-44. (doi:10.1016/j.ocemod.2016.05.005 <http://dx.doi.org/10.1016/j.ocemod.2016.05.005>).
op_doi https://doi.org/10.1016/j.ocemod.2016.05.005
container_title Ocean Modelling
container_volume 104
container_start_page 28
op_container_end_page 44
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