Sensitivity of NEMO4.0-SI 3 model parameters on sea ice budgets in the Southern Ocean
The seasonally dependent Antarctic sea ice concentration (SIC) budget is well observed and synthesizes many important air–sea–ice interaction processes. However, it is rarely well simulated in Earth system models, and means to tune the former are not well understood. In this study, we investigate th...
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ftdoajarticles:oai:doaj.org/article:483769945bf7478f8f24527994cfc922 2023-05-15T13:45:45+02:00 Sensitivity of NEMO4.0-SI 3 model parameters on sea ice budgets in the Southern Ocean Y. Nie C. Li M. Vancoppenolle B. Cheng F. Boeira Dias X. Lv P. Uotila 2023-03-01T00:00:00Z https://doi.org/10.5194/gmd-16-1395-2023 https://doaj.org/article/483769945bf7478f8f24527994cfc922 EN eng Copernicus Publications https://gmd.copernicus.org/articles/16/1395/2023/gmd-16-1395-2023.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-16-1395-2023 1991-959X 1991-9603 https://doaj.org/article/483769945bf7478f8f24527994cfc922 Geoscientific Model Development, Vol 16, Pp 1395-1425 (2023) Geology QE1-996.5 article 2023 ftdoajarticles https://doi.org/10.5194/gmd-16-1395-2023 2023-03-05T01:31:47Z The seasonally dependent Antarctic sea ice concentration (SIC) budget is well observed and synthesizes many important air–sea–ice interaction processes. However, it is rarely well simulated in Earth system models, and means to tune the former are not well understood. In this study, we investigate the sensitivity of 18 key NEMO4.0-SI 3 (Nucleus for European Modelling of the Ocean coupled with the Sea Ice Modelling Integrated Initiative) model parameters on modelled SIC and sea ice volume (SIV) budgets in the Southern Ocean based on a total of 449 model runs and two global sensitivity analysis methods. We found that the simulated SIC and SIV budgets are sensitive to ice strength, the thermal conductivity of snow, the number of ice categories, two parameters related to lateral melting, ice–ocean drag coefficient and air–ice drag coefficient. An optimized ice–ocean drag coefficient and air–ice drag coefficient can reduce the root-mean-square error between simulated and observed SIC budgets by about 10 %. This implies that a more accurate calculation of ice velocity is the key to optimizing the SIC budget simulation, which is unlikely to be achieved perfectly by simply tuning the model parameters in the presence of biased atmospheric forcing. Nevertheless, 10 combinations of NEMO4.0-SI 3 model parameters were recommended, as they could yield better sea ice extent and SIC budgets than when using the standard values. Article in Journal/Newspaper Antarc* Antarctic Sea ice Southern Ocean Directory of Open Access Journals: DOAJ Articles Antarctic Southern Ocean Geoscientific Model Development 16 4 1395 1425 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 Y. Nie C. Li M. Vancoppenolle B. Cheng F. Boeira Dias X. Lv P. Uotila Sensitivity of NEMO4.0-SI 3 model parameters on sea ice budgets in the Southern Ocean |
topic_facet |
Geology QE1-996.5 |
description |
The seasonally dependent Antarctic sea ice concentration (SIC) budget is well observed and synthesizes many important air–sea–ice interaction processes. However, it is rarely well simulated in Earth system models, and means to tune the former are not well understood. In this study, we investigate the sensitivity of 18 key NEMO4.0-SI 3 (Nucleus for European Modelling of the Ocean coupled with the Sea Ice Modelling Integrated Initiative) model parameters on modelled SIC and sea ice volume (SIV) budgets in the Southern Ocean based on a total of 449 model runs and two global sensitivity analysis methods. We found that the simulated SIC and SIV budgets are sensitive to ice strength, the thermal conductivity of snow, the number of ice categories, two parameters related to lateral melting, ice–ocean drag coefficient and air–ice drag coefficient. An optimized ice–ocean drag coefficient and air–ice drag coefficient can reduce the root-mean-square error between simulated and observed SIC budgets by about 10 %. This implies that a more accurate calculation of ice velocity is the key to optimizing the SIC budget simulation, which is unlikely to be achieved perfectly by simply tuning the model parameters in the presence of biased atmospheric forcing. Nevertheless, 10 combinations of NEMO4.0-SI 3 model parameters were recommended, as they could yield better sea ice extent and SIC budgets than when using the standard values. |
format |
Article in Journal/Newspaper |
author |
Y. Nie C. Li M. Vancoppenolle B. Cheng F. Boeira Dias X. Lv P. Uotila |
author_facet |
Y. Nie C. Li M. Vancoppenolle B. Cheng F. Boeira Dias X. Lv P. Uotila |
author_sort |
Y. Nie |
title |
Sensitivity of NEMO4.0-SI 3 model parameters on sea ice budgets in the Southern Ocean |
title_short |
Sensitivity of NEMO4.0-SI 3 model parameters on sea ice budgets in the Southern Ocean |
title_full |
Sensitivity of NEMO4.0-SI 3 model parameters on sea ice budgets in the Southern Ocean |
title_fullStr |
Sensitivity of NEMO4.0-SI 3 model parameters on sea ice budgets in the Southern Ocean |
title_full_unstemmed |
Sensitivity of NEMO4.0-SI 3 model parameters on sea ice budgets in the Southern Ocean |
title_sort |
sensitivity of nemo4.0-si 3 model parameters on sea ice budgets in the southern ocean |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/gmd-16-1395-2023 https://doaj.org/article/483769945bf7478f8f24527994cfc922 |
geographic |
Antarctic Southern Ocean |
geographic_facet |
Antarctic Southern Ocean |
genre |
Antarc* Antarctic Sea ice Southern Ocean |
genre_facet |
Antarc* Antarctic Sea ice Southern Ocean |
op_source |
Geoscientific Model Development, Vol 16, Pp 1395-1425 (2023) |
op_relation |
https://gmd.copernicus.org/articles/16/1395/2023/gmd-16-1395-2023.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-16-1395-2023 1991-959X 1991-9603 https://doaj.org/article/483769945bf7478f8f24527994cfc922 |
op_doi |
https://doi.org/10.5194/gmd-16-1395-2023 |
container_title |
Geoscientific Model Development |
container_volume |
16 |
container_issue |
4 |
container_start_page |
1395 |
op_container_end_page |
1425 |
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1766230551026466816 |