Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean
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Published:2023-03-02
Issue:4
Volume:16
Page:1395-1425
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Nie Yafei, Li Chengkun, Vancoppenolle MartinORCID, Cheng BinORCID, Boeira Dias Fabio, Lv Xianqing, Uotila PetteriORCID
Abstract
Abstract. 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-SI3 (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-SI3 model parameters were recommended, as they could yield
better sea ice extent and SIC budgets than when using the standard values.
Funder
Academy of Finland National Natural Science Foundation of China China Scholarship Council
Publisher
Copernicus GmbH
Reference93 articles.
1. Abernathey, R. P., Cerovecki, I., Holland, P. R., Newsom, E., Mazloff, M., and Talley, L. D.: Water-mass transformation by sea ice in the upper branch of the Southern Ocean overturning, Nat. Geosci., 9, 596–601, https://doi.org/10.1038/ngeo2749, 2016. 2. Baki, H., Chinta, S., Balaji, C., and Srinivasan, B.: Determining the sensitive parameters of the Weather Research and Forecasting (WRF) model for the simulation of tropical cyclones in the Bay of Bengal using global sensitivity analysis and machine learning, Geosci. Model Dev., 15, 2133–2155, https://doi.org/10.5194/gmd-15-2133-2022, 2022. 3. Barthélemy, A., Goosse, H., Fichefet, T., and Lecomte, O.: On the sensitivity of Antarctic sea ice model biases to atmospheric forcing uncertainties, Clim. Dynam., 51, 1585–1603, https://doi.org/10.1007/s00382-017-3972-7, 2018. 4. Bitz, C. M. and Lipscomb, W. H.: An energy-conserving thermodynamic model of sea ice, J. Geophys. Res.-Oceans, 104, 15669–15677, https://doi.org/10.1029/1999jc900100, 1999. 5. Brandt, R. E., Warren, S. G., Worby, A. P., and Grenfell, T. C.: Surface albedo of the Antarctic sea ice zone, J. Climate, 18, 3606–3622, https://doi.org/10.1175/JCLI3489.1, 2005.
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