A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM1.4

In the framework of developing a global modeling system which can facilitate modeling studies on Arctic Ocean and high- to midlatitude linkage, we evaluate the Arctic Ocean simulated by the multi-resolution Finite Element Sea ice-Ocean Model (FESOM). To explore the value of using high horizontal res...

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Published in:Geoscientific Model Development
Main Authors: Wang, Qiang, Wekerle, Claudia, Danilov, Sergey, Wang, Xuezhu, Jung, Thomas
Format: Article in Journal/Newspaper
Language:unknown
Published: 2018
Subjects:
Online Access:https://epic.awi.de/id/eprint/46961/
https://epic.awi.de/id/eprint/46961/1/gmd-11-1229-2018.pdf
https://hdl.handle.net/10013/epic.f1188fe4-d7a2-463a-b0f1-158d5bc7dbf6
https://hdl.handle.net/
id ftawi:oai:epic.awi.de:46961
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spelling ftawi:oai:epic.awi.de:46961 2023-05-15T14:27:52+02:00 A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM1.4 Wang, Qiang Wekerle, Claudia Danilov, Sergey Wang, Xuezhu Jung, Thomas 2018 application/pdf https://epic.awi.de/id/eprint/46961/ https://epic.awi.de/id/eprint/46961/1/gmd-11-1229-2018.pdf https://hdl.handle.net/10013/epic.f1188fe4-d7a2-463a-b0f1-158d5bc7dbf6 https://hdl.handle.net/ unknown https://epic.awi.de/id/eprint/46961/1/gmd-11-1229-2018.pdf https://hdl.handle.net/ Wang, Q. orcid:0000-0002-2704-5394 , Wekerle, C. orcid:0000-0001-9985-0950 , Danilov, S. orcid:0000-0001-8098-182X , Wang, X. and Jung, T. orcid:0000-0002-2651-1293 (2018) A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM1.4 , Geosci. Model Dev., 11 , pp. 1229-1255 . doi:10.5194/gmd-11-1229-2018 <https://doi.org/10.5194/gmd-11-1229-2018> , hdl:10013/epic.f1188fe4-d7a2-463a-b0f1-158d5bc7dbf6 EPIC3Geosci. Model Dev., 11, pp. 1229-1255, ISSN: 1991-959X Article isiRev 2018 ftawi https://doi.org/10.5194/gmd-11-1229-2018 2021-12-24T15:43:47Z In the framework of developing a global modeling system which can facilitate modeling studies on Arctic Ocean and high- to midlatitude linkage, we evaluate the Arctic Ocean simulated by the multi-resolution Finite Element Sea ice-Ocean Model (FESOM). To explore the value of using high horizontal resolution for Arctic Ocean modeling, we use two global meshes differing in the horizontal resolution only in the Arctic Ocean (24 km vs. 4.5 km). The high resolution significantly improves the model's representation of the Arctic Ocean. The most pronounced improvement is in the Arctic intermediate layer, in terms of both Atlantic Water (AW) mean state and variability. The deepening and thickening bias of the AW layer, a common issue found in coarse-resolution simulations, is significantly alleviated by using higher resolution. The topographic steering of the AW is stronger and the seasonal and interannual temperature variability along the ocean bottom topography is enhanced in the high-resolution simulation. The high resolution also improves the ocean surface circulation, mainly through a better representation of the narrow straits in the Canadian Arctic Archipelago (CAA). The representation of CAA throughflow not only influences the release of water masses through the other gateways but also the circulation pathways inside the Arctic Ocean. However, the mean state and variability of Arctic freshwater content and the variability of freshwater transport through the Arctic gateways appear not to be very sensitive to the increase in resolution employed here. By highlighting the issues that are independent of model resolution, we address that other efforts including the improvement of parameterizations are still required. Article in Journal/Newspaper Arctic Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Arctic Ocean Canadian Arctic Archipelago Geoscientific Model Development 11 4 1229 1255
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description In the framework of developing a global modeling system which can facilitate modeling studies on Arctic Ocean and high- to midlatitude linkage, we evaluate the Arctic Ocean simulated by the multi-resolution Finite Element Sea ice-Ocean Model (FESOM). To explore the value of using high horizontal resolution for Arctic Ocean modeling, we use two global meshes differing in the horizontal resolution only in the Arctic Ocean (24 km vs. 4.5 km). The high resolution significantly improves the model's representation of the Arctic Ocean. The most pronounced improvement is in the Arctic intermediate layer, in terms of both Atlantic Water (AW) mean state and variability. The deepening and thickening bias of the AW layer, a common issue found in coarse-resolution simulations, is significantly alleviated by using higher resolution. The topographic steering of the AW is stronger and the seasonal and interannual temperature variability along the ocean bottom topography is enhanced in the high-resolution simulation. The high resolution also improves the ocean surface circulation, mainly through a better representation of the narrow straits in the Canadian Arctic Archipelago (CAA). The representation of CAA throughflow not only influences the release of water masses through the other gateways but also the circulation pathways inside the Arctic Ocean. However, the mean state and variability of Arctic freshwater content and the variability of freshwater transport through the Arctic gateways appear not to be very sensitive to the increase in resolution employed here. By highlighting the issues that are independent of model resolution, we address that other efforts including the improvement of parameterizations are still required.
format Article in Journal/Newspaper
author Wang, Qiang
Wekerle, Claudia
Danilov, Sergey
Wang, Xuezhu
Jung, Thomas
spellingShingle Wang, Qiang
Wekerle, Claudia
Danilov, Sergey
Wang, Xuezhu
Jung, Thomas
A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM1.4
author_facet Wang, Qiang
Wekerle, Claudia
Danilov, Sergey
Wang, Xuezhu
Jung, Thomas
author_sort Wang, Qiang
title A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM1.4
title_short A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM1.4
title_full A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM1.4
title_fullStr A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM1.4
title_full_unstemmed A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM1.4
title_sort 4.5 km resolution arctic ocean simulation with the global multi-resolution model fesom1.4
publishDate 2018
url https://epic.awi.de/id/eprint/46961/
https://epic.awi.de/id/eprint/46961/1/gmd-11-1229-2018.pdf
https://hdl.handle.net/10013/epic.f1188fe4-d7a2-463a-b0f1-158d5bc7dbf6
https://hdl.handle.net/
geographic Arctic
Arctic Ocean
Canadian Arctic Archipelago
geographic_facet Arctic
Arctic Ocean
Canadian Arctic Archipelago
genre Arctic
Arctic Archipelago
Arctic
Arctic Ocean
Canadian Arctic Archipelago
Sea ice
genre_facet Arctic
Arctic Archipelago
Arctic
Arctic Ocean
Canadian Arctic Archipelago
Sea ice
op_source EPIC3Geosci. Model Dev., 11, pp. 1229-1255, ISSN: 1991-959X
op_relation https://epic.awi.de/id/eprint/46961/1/gmd-11-1229-2018.pdf
https://hdl.handle.net/
Wang, Q. orcid:0000-0002-2704-5394 , Wekerle, C. orcid:0000-0001-9985-0950 , Danilov, S. orcid:0000-0001-8098-182X , Wang, X. and Jung, T. orcid:0000-0002-2651-1293 (2018) A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM1.4 , Geosci. Model Dev., 11 , pp. 1229-1255 . doi:10.5194/gmd-11-1229-2018 <https://doi.org/10.5194/gmd-11-1229-2018> , hdl:10013/epic.f1188fe4-d7a2-463a-b0f1-158d5bc7dbf6
op_doi https://doi.org/10.5194/gmd-11-1229-2018
container_title Geoscientific Model Development
container_volume 11
container_issue 4
container_start_page 1229
op_container_end_page 1255
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