Modeling ocean and sea ice dynamics of the Canadian Arctic Archipelago: Aspects of forcing
The Canadian Arctic Archipelago (CAA) is one of the main pathways for freshwater exiting the Arctic Ocean. Freshwater exported to the North Atlantic may influence the deep water formation in the Labrador Sea, and thus the meridional overturning circulation. Modeling ocean and sea ice conditions of t...
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ftawi:oai:epic.awi.de:33772 2023-05-15T14:27:15+02:00 Modeling ocean and sea ice dynamics of the Canadian Arctic Archipelago: Aspects of forcing Wekerle, Claudia Wang, Qiang Danilov, Sergey Myers, P. G. Jung, Thomas Schröter, Jens 2013 https://epic.awi.de/id/eprint/33772/ https://hdl.handle.net/10013/epic.42229 unknown Wekerle, C. orcid:0000-0001-9985-0950 , Wang, Q. orcid:0000-0002-2704-5394 , Danilov, S. orcid:0000-0001-8098-182X , Myers, P. G. , Jung, T. orcid:0000-0002-2651-1293 and Schröter, J. orcid:0000-0002-9240-5798 (2013) Modeling ocean and sea ice dynamics of the Canadian Arctic Archipelago: Aspects of forcing , European Geosciences Union General Assembly, Vienna, April 2013 - unspecified . hdl:10013/epic.42229 EPIC3European Geosciences Union General Assembly, Vienna, 2013-04 Conference notRev 2013 ftawi 2021-12-24T15:38:56Z The Canadian Arctic Archipelago (CAA) is one of the main pathways for freshwater exiting the Arctic Ocean. Freshwater exported to the North Atlantic may influence the deep water formation in the Labrador Sea, and thus the meridional overturning circulation. Modeling ocean and sea ice conditions of the CAA is difficult because of narrow straits and complex coastlines. The Finite-Element Sea-ice Ocean circulation Model (FESOM) configured on a global mesh is applied to assess the volume, freshwater and sea ice transports through the CAA.With a mesh resolution of 5 km in the CAA we are able to accurately resolve complex coastlines. Outside the CAA the mesh is refined to 24 km north of 55N with a global background resolution of 1.5degrees. In this study, first, it is shown that the transports modeled with FESOM correlate well with the available observational data. Second, the model is used to learn about the impact of different atmospheric forcing datasets differing in spatial and temporal resolution (CORE 2 and the Reforecast dataset from Environment Canada). The CORE 2 dataset is on the T62 grid, which is coarse compared to the Reforecast dataset with grid resolution of 0.45degrees longitude and 0.3degrees latitude. The temporal resolution of the Reforecast dataset is higher than the CORE 2 dataset (one hourly and 6-hourly data, respectively, for wind, surface temperature and specific humidity fields). The representation of sea ice in the CAA can be improved by using the high resolution atmospheric forcing. Conference Object Arctic Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago Labrador Sea North Atlantic Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Arctic Ocean Canada Canadian Arctic Archipelago |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
language |
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description |
The Canadian Arctic Archipelago (CAA) is one of the main pathways for freshwater exiting the Arctic Ocean. Freshwater exported to the North Atlantic may influence the deep water formation in the Labrador Sea, and thus the meridional overturning circulation. Modeling ocean and sea ice conditions of the CAA is difficult because of narrow straits and complex coastlines. The Finite-Element Sea-ice Ocean circulation Model (FESOM) configured on a global mesh is applied to assess the volume, freshwater and sea ice transports through the CAA.With a mesh resolution of 5 km in the CAA we are able to accurately resolve complex coastlines. Outside the CAA the mesh is refined to 24 km north of 55N with a global background resolution of 1.5degrees. In this study, first, it is shown that the transports modeled with FESOM correlate well with the available observational data. Second, the model is used to learn about the impact of different atmospheric forcing datasets differing in spatial and temporal resolution (CORE 2 and the Reforecast dataset from Environment Canada). The CORE 2 dataset is on the T62 grid, which is coarse compared to the Reforecast dataset with grid resolution of 0.45degrees longitude and 0.3degrees latitude. The temporal resolution of the Reforecast dataset is higher than the CORE 2 dataset (one hourly and 6-hourly data, respectively, for wind, surface temperature and specific humidity fields). The representation of sea ice in the CAA can be improved by using the high resolution atmospheric forcing. |
format |
Conference Object |
author |
Wekerle, Claudia Wang, Qiang Danilov, Sergey Myers, P. G. Jung, Thomas Schröter, Jens |
spellingShingle |
Wekerle, Claudia Wang, Qiang Danilov, Sergey Myers, P. G. Jung, Thomas Schröter, Jens Modeling ocean and sea ice dynamics of the Canadian Arctic Archipelago: Aspects of forcing |
author_facet |
Wekerle, Claudia Wang, Qiang Danilov, Sergey Myers, P. G. Jung, Thomas Schröter, Jens |
author_sort |
Wekerle, Claudia |
title |
Modeling ocean and sea ice dynamics of the Canadian Arctic Archipelago: Aspects of forcing |
title_short |
Modeling ocean and sea ice dynamics of the Canadian Arctic Archipelago: Aspects of forcing |
title_full |
Modeling ocean and sea ice dynamics of the Canadian Arctic Archipelago: Aspects of forcing |
title_fullStr |
Modeling ocean and sea ice dynamics of the Canadian Arctic Archipelago: Aspects of forcing |
title_full_unstemmed |
Modeling ocean and sea ice dynamics of the Canadian Arctic Archipelago: Aspects of forcing |
title_sort |
modeling ocean and sea ice dynamics of the canadian arctic archipelago: aspects of forcing |
publishDate |
2013 |
url |
https://epic.awi.de/id/eprint/33772/ https://hdl.handle.net/10013/epic.42229 |
geographic |
Arctic Arctic Ocean Canada Canadian Arctic Archipelago |
geographic_facet |
Arctic Arctic Ocean Canada Canadian Arctic Archipelago |
genre |
Arctic Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago Labrador Sea North Atlantic Sea ice |
genre_facet |
Arctic Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago Labrador Sea North Atlantic Sea ice |
op_source |
EPIC3European Geosciences Union General Assembly, Vienna, 2013-04 |
op_relation |
Wekerle, C. orcid:0000-0001-9985-0950 , Wang, Q. orcid:0000-0002-2704-5394 , Danilov, S. orcid:0000-0001-8098-182X , Myers, P. G. , Jung, T. orcid:0000-0002-2651-1293 and Schröter, J. orcid:0000-0002-9240-5798 (2013) Modeling ocean and sea ice dynamics of the Canadian Arctic Archipelago: Aspects of forcing , European Geosciences Union General Assembly, Vienna, April 2013 - unspecified . hdl:10013/epic.42229 |
_version_ |
1766300890389544960 |