Sensitivity of NEMO4.0-SI 3 model parameters on sea ice budgets in the Southern Ocean

• Main Authors: Nie, Yafei, Li, Chengkun, Vancoppenolle, Martin, Cheng, Bin, Boeira Dias, Fabio, Lv, Xianqing, Uotila, Petteri
• Other Authors: Ocean University of China (OUC), Institute for Atmospheric and Earth System Research (INAR), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Qingdao National Laboratory for Marine Science and Technology, Department of Computer Science Helsinki, Falculty of Science Helsinki, Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Nucleus for European Modeling of the Ocean (NEMO R&D ), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Finnish Meteorological Institute (FMI)
• Format: Report
• Language: English
• Published: HAL CCSD 2022
• Subjects: [SDE.MCG]Environmental Sciences/Global Changes; [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; Atmosphere; Antarc*; Antarctic; Sea ice; Southern Ocean
• Online Access: https://hal.science/hal-03875543; https://hal.science/hal-03875543/document; https://hal.science/hal-03875543/file/Nie_et_al_gmd-2022-170_2022.pdf; https://doi.org/10.5194/gmd-2022-170

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 the simulated SIC/SIV budgets are sensitivity 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. A better quality of ice-ocean drag coefficient and air-ice drag coefficient can reduce the root-mean-square error between simulated and observed SIC budget by about 10 %. We recommend ten combinations of NEMO4.0-SI3 model parameters that could yield better sea ice extent, SIV seasonal cycles and SIC budgets than using the standard values.