Evaluation of the Arctic Sea-Ice Simulation on SODA3 Datasets

• Published in: Advances in atmospheric sciences Vol. 40; no. 12; pp. 2302 - 2317
• Main Authors: Ge, Zhicheng, Wang, Xuezhu, Wang, Xidong
• Format: Journal Article
• Language: English
• Published: Heidelberg Science Press 01.12.2023; Springer Nature B.V; Key Laboratory of Marine Hazards Forecasting,Ministry of Natural Resources,Hohai University,Nanjing 210098,China%Key Laboratory of Marine Hazards Forecasting,Ministry of Natural Resources,Hohai University,Nanjing 210098,China; Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Zhuhai 519000,China; Key Laboratory of Marine Science and Numerical Modeling,Ministry of Natural Resources,Qingdao 266061,China%Key Laboratory of Marine Hazards Forecasting,Ministry of Natural Resources,Hohai University,Nanjing 210098,China
• Subjects: Arctic sea ice; Atmospheric forcing; Atmospheric Sciences; Datasets; Earth and Environmental Science; Earth Sciences; Fields; Geophysics/Geodesy; Ice cover; Ice environments; Ice thickness; Interannual variability; Meteorology; Original Paper; Sea ice; Sea ice concentrations; Sea ice thickness; Simulation; Thickness; Towards Improving Understanding and Prediction of Arctic Change and its Linkage with Eurasian Mid-latitude Weather and Climate; Arctic region; 北极海冰; Arctic sea-ice; 模拟与评估; simulation and evaluation; SODA3; sources of model error; 模式误差来源
• ISSN: 0256-1530; 1861-9533
• DOI: 10.1007/s00376-023-2320-6

This study evaluates the Arctic sea-ice simulation of the SODA3 dataset driven by different atmospheric forcing fields and explores the errors of the Arctic sea-ice simulation caused by the forcing field. We find that the SODA3 data driven by different forcing fields represent a significant systematical error in the simulation of Arctic sea-ice concentration, showing a low concentration of thick ice and a high concentration of thin ice. In terms of sea-ice extent, the SODA3 data from different versions well characterize the interannual variability and declining trend in the observed data, but they overestimate the overall Arctic sea-ice extent, which is related to excessive simulation of ice in the sea-ice margin. Compared to observations, all the chosen SODA3 reanalysis versions driven by different atmospheric forcing generally tend to underestimate the Arctic sea-ice thickness, especially for thick ice in the multi-year sea-ice regions. Inaccurate simulations of Arctic sea-ice transport may partly explain the error in SODA3 sea-ice thickness in multi-year sea-ice areas. The results of different SDOA3 versions differ greatly in the Beaufort Sea, the Fram Strait, and the Central Arctic Sea. The difference in sea-ice thickness among different SODA3 versions is primarily due to the thermodynamic contribution, which may come from the diversity of atmospheric forcing fields. Our work provides a reference for using SODA3 data to study Arctic sea ice.