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Conference Paper

Sensitivity of the Southern Ocean sea-ice budget to sea-ice model parameters

Authors

Uotila,  Petteri
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Nie,  Yafei
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Li,  Chengkun
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Vancoppenolle,  Martin
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Cheng,  Bin
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Boeira Dias,  Fabio
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Lv,  Xianqing
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Uotila, P., Nie, Y., Li, C., Vancoppenolle, M., Cheng, B., Boeira Dias, F., Lv, X. (2023): Sensitivity of the Southern Ocean sea-ice budget to sea-ice model parameters, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-0186


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016304
Abstract
The Southern Ocean sea-ice budget, which consists of dynamic and thermodynamic processes, synthesizes many important aspects of air-sea-ice interaction. However, many Earth System Models struggle to reproduce realistic sea-ice budget partly because of inadequate understanding of required model parameter adjustments. In this study, we investigate the sensitivity of sea-ice concentration and volume budgets to 18 sea-ice model parameters in the Southern Ocean. The analysis is based on a total of 449 model runs and two sensitivity methods. We found that the simulated sea-ice budgets are sensitive to sea-ice strength, snow thermal conductivity, the number of sea-ice thickness categories, lateral melting, and air-ice drag and ice-ocean drag. Optimized ice-ocean and air-ice drag coefficients reduce the model error in terms of sea-ice concentration budget about 10%. Ten combinations of sea-ice model parameter values yielding to improved sea-ice extent, and sea-ice volume and concentration budgets were identified.