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Simulation error diagnosis of the seasonal evolution of sea ice thickness during MOSAiC in-situ observation
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Yang Lu1, Haibo Zhao1, Jiawei Zhao1, Xiaochun Wang1, Yijun He1, 2, *, Ruibo Lei3, Xiaoyong Yu4
Haiyang Xuebao | 2024, 46(6) : 26 - 39
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Haiyang Xuebao | 2024, 46(6): 26-39
• Article •
Simulation error diagnosis of the seasonal evolution of sea ice thickness during MOSAiC in-situ observation
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Yang Lu1, Haibo Zhao1, Jiawei Zhao1, Xiaochun Wang1, Yijun He1, 2, *, Ruibo Lei3, Xiaoyong Yu4
Affiliations
  • 1. School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • 2. SANYA Oceanographic Laboratory, Sanya 572024, China
  • 3. Key Laboratory of Polar Science, Ministry of Natural Resources, Polar Research Institute of China, Shanghai 200136, China
  • 4. School of Atmosphere and Remote Sensing, Wuxi University, Wuxi 214105, China
Published: 2024-06-30 doi: 10.12284/hyxb2024065
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The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) was conducted from October 2019 to September 2020, yielding complete observations of atmosphere, ocean, sea ice thickness (SIT), and snow thickness. These observations provide new opportunities for the development of sea ice models. In this study, the seasonal evolution of SIT during MOSAiC was simulated using the ICEPACK sea ice model and atmospheric and oceanic forcing observations from two periods without missing data (from November 1, 2019 to May 7, 2020; from June 26 to July 27, 2020). The simulation was compared with SIT observation and the reasons for SIT simulation errors were diagnosed. The results show that, in the winter and spring seasons, the model can reproduce the increase in SIT, but overestimates the transition from submerged snow to sea ice and its contribution to sea ice mass balance. This causes the overestimation of SIT in spring. During the summer season, the combination of two thermodynamic schemes and three melt pond schemes indicates that the model overestimates the sea ice surface melting, resulting in thinner SIT at the end of simulation period. Our research demonstrates that the MOSAiC atmospheric and oceanic observation with all variables needed to force ICEPACK can be used to diagnose current sea ice models and very useful for their future improvements.

MOSAiC  /  thermodynamic scheme  /  melt pond scheme  /  ICEPACK sea ice model  /  sea ice thickness  /  snow thickness  /  Arctic Ocean
Yang Lu, Haibo Zhao, Jiawei Zhao, Xiaochun Wang, Yijun He, Ruibo Lei, Xiaoyong Yu. Simulation error diagnosis of the seasonal evolution of sea ice thickness during MOSAiC in-situ observation[J]. Haiyang Xuebao, 2024 , 46 (6) : 26 -39 . DOI: 10.12284/hyxb2024065
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Article Info
doi: 10.12284/hyxb2024065
  • Receive Date：2024-02-06
  • Online Date：2025-11-26
  • Published：2024-06-30
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History
  • Received：2024-02-06
  • Revised：2024-05-17
Funding
Affiliations
    1. School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
    2. SANYA Oceanographic Laboratory, Sanya 572024, China
    3. Key Laboratory of Polar Science, Ministry of Natural Resources, Polar Research Institute of China, Shanghai 200136, China
    4. School of Atmosphere and Remote Sensing, Wuxi University, Wuxi 214105, China
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表12种不同金属材料的力学参数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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