Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea
Ocean–sea-ice coupled models constrained by various observations provide different ice thickness estimates in the Antarctic. We evaluate contemporary monthly ice thickness from four reanalyses in the Weddell Sea: the German contribution of the project Estimating the Circulation and Climate of the Oc...
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Copernicus Publications
2021
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00054921 2023-05-15T13:37:34+02:00 Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Shi, Qian Yang, Qinghua Mu, Longjiang Wang, Jinfei Massonnet, François Mazloff, Matthew R. 2021-01 electronic https://doi.org/10.5194/tc-15-31-2021 https://noa.gwlb.de/receive/cop_mods_00054921 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054572/tc-15-31-2021.pdf https://tc.copernicus.org/articles/15/31/2021/tc-15-31-2021.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-15-31-2021 https://noa.gwlb.de/receive/cop_mods_00054921 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054572/tc-15-31-2021.pdf https://tc.copernicus.org/articles/15/31/2021/tc-15-31-2021.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2021 ftnonlinearchiv https://doi.org/10.5194/tc-15-31-2021 2022-02-08T22:34:48Z Ocean–sea-ice coupled models constrained by various observations provide different ice thickness estimates in the Antarctic. We evaluate contemporary monthly ice thickness from four reanalyses in the Weddell Sea: the German contribution of the project Estimating the Circulation and Climate of the Ocean Version 2 (GECCO2), the Southern Ocean State Estimate (SOSE), the Ensemble Kalman Filter system based on the Nucleus for European Modelling of the Ocean (NEMO-EnKF) and the Global Ice–Ocean Modeling and Assimilation System (GIOMAS). The evaluation is performed against reference satellite and in situ observations from ICESat-1, Envisat, upward-looking sonars and visual ship-based sea-ice observations. Compared with ICESat-1, NEMO-EnKF has the highest correlation coefficient (CC) of 0.54 and lowest root mean square error (RMSE) of 0.44 m. Compared with in situ observations, SOSE has the highest CC of 0.77 and lowest RMSE of 0.72 m. All reanalyses underestimate ice thickness near the coast of the western Weddell Sea with respect to ICESat-1 and in situ observations even though these observational estimates may be biased low. GECCO2 and NEMO-EnKF reproduce the seasonal variation in first-year ice thickness reasonably well in the eastern Weddell Sea. In contrast, GIOMAS ice thickness performs best in the central Weddell Sea, while SOSE ice thickness agrees most with the observations from the southern coast of the Weddell Sea. In addition, only NEMO-EnKF can reproduce the seasonal evolution of the large-scale spatial distribution of ice thickness, characterized by the thick ice shifting from the southwestern and western Weddell Sea in summer to the western and northwestern Weddell Sea in spring. We infer that the thick ice distribution is correlated with its better simulation of northward ice motion in the western Weddell Sea. These results demonstrate the possibilities and limitations of using current sea-ice reanalysis for understanding the recent variability of sea-ice volume in the Antarctic. Article in Journal/Newspaper Antarc* Antarctic Sea ice Southern Ocean The Cryosphere Weddell Sea Niedersächsisches Online-Archiv NOA Antarctic Southern Ocean The Antarctic Weddell Weddell Sea The Cryosphere 15 1 31 47 |
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Niedersächsisches Online-Archiv NOA |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Shi, Qian Yang, Qinghua Mu, Longjiang Wang, Jinfei Massonnet, François Mazloff, Matthew R. Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea |
topic_facet |
article Verlagsveröffentlichung |
description |
Ocean–sea-ice coupled models constrained by various observations provide different ice thickness estimates in the Antarctic. We evaluate contemporary monthly ice thickness from four reanalyses in the Weddell Sea: the German contribution of the project Estimating the Circulation and Climate of the Ocean Version 2 (GECCO2), the Southern Ocean State Estimate (SOSE), the Ensemble Kalman Filter system based on the Nucleus for European Modelling of the Ocean (NEMO-EnKF) and the Global Ice–Ocean Modeling and Assimilation System (GIOMAS). The evaluation is performed against reference satellite and in situ observations from ICESat-1, Envisat, upward-looking sonars and visual ship-based sea-ice observations. Compared with ICESat-1, NEMO-EnKF has the highest correlation coefficient (CC) of 0.54 and lowest root mean square error (RMSE) of 0.44 m. Compared with in situ observations, SOSE has the highest CC of 0.77 and lowest RMSE of 0.72 m. All reanalyses underestimate ice thickness near the coast of the western Weddell Sea with respect to ICESat-1 and in situ observations even though these observational estimates may be biased low. GECCO2 and NEMO-EnKF reproduce the seasonal variation in first-year ice thickness reasonably well in the eastern Weddell Sea. In contrast, GIOMAS ice thickness performs best in the central Weddell Sea, while SOSE ice thickness agrees most with the observations from the southern coast of the Weddell Sea. In addition, only NEMO-EnKF can reproduce the seasonal evolution of the large-scale spatial distribution of ice thickness, characterized by the thick ice shifting from the southwestern and western Weddell Sea in summer to the western and northwestern Weddell Sea in spring. We infer that the thick ice distribution is correlated with its better simulation of northward ice motion in the western Weddell Sea. These results demonstrate the possibilities and limitations of using current sea-ice reanalysis for understanding the recent variability of sea-ice volume in the Antarctic. |
format |
Article in Journal/Newspaper |
author |
Shi, Qian Yang, Qinghua Mu, Longjiang Wang, Jinfei Massonnet, François Mazloff, Matthew R. |
author_facet |
Shi, Qian Yang, Qinghua Mu, Longjiang Wang, Jinfei Massonnet, François Mazloff, Matthew R. |
author_sort |
Shi, Qian |
title |
Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea |
title_short |
Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea |
title_full |
Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea |
title_fullStr |
Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea |
title_full_unstemmed |
Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea |
title_sort |
evaluation of sea-ice thickness from four reanalyses in the antarctic weddell sea |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/tc-15-31-2021 https://noa.gwlb.de/receive/cop_mods_00054921 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054572/tc-15-31-2021.pdf https://tc.copernicus.org/articles/15/31/2021/tc-15-31-2021.pdf |
geographic |
Antarctic Southern Ocean The Antarctic Weddell Weddell Sea |
geographic_facet |
Antarctic Southern Ocean The Antarctic Weddell Weddell Sea |
genre |
Antarc* Antarctic Sea ice Southern Ocean The Cryosphere Weddell Sea |
genre_facet |
Antarc* Antarctic Sea ice Southern Ocean The Cryosphere Weddell Sea |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-15-31-2021 https://noa.gwlb.de/receive/cop_mods_00054921 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054572/tc-15-31-2021.pdf https://tc.copernicus.org/articles/15/31/2021/tc-15-31-2021.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/tc-15-31-2021 |
container_title |
The Cryosphere |
container_volume |
15 |
container_issue |
1 |
container_start_page |
31 |
op_container_end_page |
47 |
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1766094208932773888 |