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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Published in:The Cryosphere
Main Authors: Q. Shi, Q. Yang, L. Mu, J. Wang, F. Massonnet, M. R. Mazloff
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2021
Subjects:
Online Access:https://doi.org/10.5194/tc-15-31-2021
https://doaj.org/article/780e9f072fed42da86f9cfd25cd1b360
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spelling ftdoajarticles:oai:doaj.org/article:780e9f072fed42da86f9cfd25cd1b360 2023-05-15T14:00:54+02:00 Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi Q. Yang L. Mu J. Wang F. Massonnet M. R. Mazloff 2021-01-01T00:00:00Z https://doi.org/10.5194/tc-15-31-2021 https://doaj.org/article/780e9f072fed42da86f9cfd25cd1b360 EN eng Copernicus Publications https://tc.copernicus.org/articles/15/31/2021/tc-15-31-2021.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-15-31-2021 1994-0416 1994-0424 https://doaj.org/article/780e9f072fed42da86f9cfd25cd1b360 The Cryosphere, Vol 15, Pp 31-47 (2021) Environmental sciences GE1-350 Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.5194/tc-15-31-2021 2022-12-31T06:59:56Z 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 Directory of Open Access Journals: DOAJ Articles Antarctic Southern Ocean The Antarctic Weddell Sea Weddell The Cryosphere 15 1 31 47
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
Q. Shi
Q. Yang
L. Mu
J. Wang
F. Massonnet
M. R. Mazloff
Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
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 Q. Shi
Q. Yang
L. Mu
J. Wang
F. Massonnet
M. R. Mazloff
author_facet Q. Shi
Q. Yang
L. Mu
J. Wang
F. Massonnet
M. R. Mazloff
author_sort Q. Shi
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://doaj.org/article/780e9f072fed42da86f9cfd25cd1b360
geographic Antarctic
Southern Ocean
The Antarctic
Weddell Sea
Weddell
geographic_facet Antarctic
Southern Ocean
The Antarctic
Weddell Sea
Weddell
genre Antarc*
Antarctic
Sea ice
Southern Ocean
The Cryosphere
Weddell Sea
genre_facet Antarc*
Antarctic
Sea ice
Southern Ocean
The Cryosphere
Weddell Sea
op_source The Cryosphere, Vol 15, Pp 31-47 (2021)
op_relation https://tc.copernicus.org/articles/15/31/2021/tc-15-31-2021.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-15-31-2021
1994-0416
1994-0424
https://doaj.org/article/780e9f072fed42da86f9cfd25cd1b360
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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