Sensitivity of NEMO4.0-SI3 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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Published in:Geoscientific Model Development
Main Authors: Nie, Yafei, Li, Chengkun, Vancoppenolle, Martin, Cheng, Bin, Dias, Fabio Boeira, Lv, Xianqing, Uotila, Petteri
Format: Article in Journal/Newspaper
Language:English
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5194/gmd-16-1395-2023
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spelling ftzenodo:oai:zenodo.org:8066136 2024-09-15T17:48:34+00:00 Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean Nie, Yafei Li, Chengkun Vancoppenolle, Martin Cheng, Bin Dias, Fabio Boeira Lv, Xianqing Uotila, Petteri 2023-03-02 https://doi.org/10.5194/gmd-16-1395-2023 eng eng Zenodo https://zenodo.org/communities/polarres https://zenodo.org/communities/eu https://doi.org/10.5194/gmd-16-1395-2023 oai:zenodo.org:8066136 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/article 2023 ftzenodo https://doi.org/10.5194/gmd-16-1395-2023 2024-07-26T18:48:10Z 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 Zenodo Geoscientific Model Development 16 4 1395 1425
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
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 Nie, Yafei
Li, Chengkun
Vancoppenolle, Martin
Cheng, Bin
Dias, Fabio Boeira
Lv, Xianqing
Uotila, Petteri
spellingShingle Nie, Yafei
Li, Chengkun
Vancoppenolle, Martin
Cheng, Bin
Dias, Fabio Boeira
Lv, Xianqing
Uotila, Petteri
Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean
author_facet Nie, Yafei
Li, Chengkun
Vancoppenolle, Martin
Cheng, Bin
Dias, Fabio Boeira
Lv, Xianqing
Uotila, Petteri
author_sort Nie, Yafei
title Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean
title_short Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean
title_full Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean
title_fullStr Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean
title_full_unstemmed Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean
title_sort sensitivity of nemo4.0-si3 model parameters on sea ice budgets in the southern ocean
publisher Zenodo
publishDate 2023
url https://doi.org/10.5194/gmd-16-1395-2023
genre Antarc*
Antarctic
Sea ice
Southern Ocean
genre_facet Antarc*
Antarctic
Sea ice
Southern Ocean
op_relation https://zenodo.org/communities/polarres
https://zenodo.org/communities/eu
https://doi.org/10.5194/gmd-16-1395-2023
oai:zenodo.org:8066136
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
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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