Oceanic heat anomalies and Arctic sea-ice variability (D2.6)

In this deliverable we have investigated the link between the ocean heat transport and the sea ice properties (extent, thickness). Observations and climate model simulations of the last decades and in a future climate scenario have been used to explore how the variations of the sea ice cover in the...

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Main Authors: Herbaut, Christophe, Houssais, Marie-Noelle
Format: Text
Language:English
Published: Zenodo 2019
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.3361575
https://zenodo.org/record/3361575
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spelling ftdatacite:10.5281/zenodo.3361575 2023-05-15T14:50:06+02:00 Oceanic heat anomalies and Arctic sea-ice variability (D2.6) Herbaut, Christophe Houssais, Marie-Noelle 2019 https://dx.doi.org/10.5281/zenodo.3361575 https://zenodo.org/record/3361575 en eng Zenodo https://zenodo.org/communities/blue-actionh2020 https://dx.doi.org/10.5281/zenodo.3361576 https://zenodo.org/communities/blue-actionh2020 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Text Project deliverable article-journal ScholarlyArticle 2019 ftdatacite https://doi.org/10.5281/zenodo.3361575 https://doi.org/10.5281/zenodo.3361576 2021-11-05T12:55:41Z In this deliverable we have investigated the link between the ocean heat transport and the sea ice properties (extent, thickness). Observations and climate model simulations of the last decades and in a future climate scenario have been used to explore how the variations of the sea ice cover in the Arctic can be predicted months or years in advance from the ocean surface temperature. The winter Arctic sea ice extent could be predicted with some confidence from the sea surface temperature (SST) in the northern North Atlantic several years in advance. Looking at more local scale, the ice cover can be predicted one or two years in advance in all the marginal seas of the Arctic in the Norwegian climate model, when the observed SST is imposed in the model. Regarding the prediction from seasons to seasons, the result is more contrasted and the best predictions are obtained in the Barents Sea. Prediction of the sea ice cover in this region from oceanic quantities should hold in future climate as well. A particular attention was paid to the mechanisms controlling the regional link between sea‐ice and the ocean temperature north of Svalbard, a region of the Arctic where the warm water of Atlantic origin encounters sea‐ice. In this area we examined if the variations of the heat content of the ocean can be associated with variations of the volume of warm water rather than variations of the water temperature itself. Examining a one‐month duration event of sea ice retreat in the 2006 winter, one of the major events in the last two decades, we could show that wind anomalies were a major driver of the sea‐ice opening, contributing altogether to the offshore retreat of the sea ice edge and enhanced ice melt through upwelling of warm water to surface. : The Blue‐Action project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 727852. Text Arctic Barents Sea North Atlantic Sea ice Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Barents Sea Svalbard
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description In this deliverable we have investigated the link between the ocean heat transport and the sea ice properties (extent, thickness). Observations and climate model simulations of the last decades and in a future climate scenario have been used to explore how the variations of the sea ice cover in the Arctic can be predicted months or years in advance from the ocean surface temperature. The winter Arctic sea ice extent could be predicted with some confidence from the sea surface temperature (SST) in the northern North Atlantic several years in advance. Looking at more local scale, the ice cover can be predicted one or two years in advance in all the marginal seas of the Arctic in the Norwegian climate model, when the observed SST is imposed in the model. Regarding the prediction from seasons to seasons, the result is more contrasted and the best predictions are obtained in the Barents Sea. Prediction of the sea ice cover in this region from oceanic quantities should hold in future climate as well. A particular attention was paid to the mechanisms controlling the regional link between sea‐ice and the ocean temperature north of Svalbard, a region of the Arctic where the warm water of Atlantic origin encounters sea‐ice. In this area we examined if the variations of the heat content of the ocean can be associated with variations of the volume of warm water rather than variations of the water temperature itself. Examining a one‐month duration event of sea ice retreat in the 2006 winter, one of the major events in the last two decades, we could show that wind anomalies were a major driver of the sea‐ice opening, contributing altogether to the offshore retreat of the sea ice edge and enhanced ice melt through upwelling of warm water to surface. : The Blue‐Action project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 727852.
format Text
author Herbaut, Christophe
Houssais, Marie-Noelle
spellingShingle Herbaut, Christophe
Houssais, Marie-Noelle
Oceanic heat anomalies and Arctic sea-ice variability (D2.6)
author_facet Herbaut, Christophe
Houssais, Marie-Noelle
author_sort Herbaut, Christophe
title Oceanic heat anomalies and Arctic sea-ice variability (D2.6)
title_short Oceanic heat anomalies and Arctic sea-ice variability (D2.6)
title_full Oceanic heat anomalies and Arctic sea-ice variability (D2.6)
title_fullStr Oceanic heat anomalies and Arctic sea-ice variability (D2.6)
title_full_unstemmed Oceanic heat anomalies and Arctic sea-ice variability (D2.6)
title_sort oceanic heat anomalies and arctic sea-ice variability (d2.6)
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.3361575
https://zenodo.org/record/3361575
geographic Arctic
Barents Sea
Svalbard
geographic_facet Arctic
Barents Sea
Svalbard
genre Arctic
Barents Sea
North Atlantic
Sea ice
Svalbard
genre_facet Arctic
Barents Sea
North Atlantic
Sea ice
Svalbard
op_relation https://zenodo.org/communities/blue-actionh2020
https://dx.doi.org/10.5281/zenodo.3361576
https://zenodo.org/communities/blue-actionh2020
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.3361575
https://doi.org/10.5281/zenodo.3361576
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