首页|MOSAiC现场观测期间海冰厚度季节变化模拟误差分析

MOSAiC现场观测期间海冰厚度季节变化模拟误差分析

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北极气候研究多学科漂流观测计划(Multidisciplinary drifting Observatory for the Study of Arctic Climate,MOSAiC)于 2019年 10月至 2020年 9月开展,期间获得了变量完整的大气、海洋、海冰厚度及积雪厚度观测,为海冰模式的发展提供了新的契机.本研究利用两个完整观测时段(2019年 11月 1日至 2020年 5月 7日、2020年 6月 26日至 7月 27日)的大气和海洋强迫场,驱动一维海冰柱模式ICEPACK,模拟了MOSAiC期间海冰厚度的季节演变,同海冰厚度观测进行了对比,并诊断分析了海冰厚度模拟误差的原因.结果表明,在冬春季节,模式可以再现海冰厚度增长过程,但由于模式在春季高估了积雪向海冰的转化及对海冰物质平衡的贡献,模拟的春季海冰厚度偏厚.在夏季期间,2种热力学方案及 3种融池方案的组合都表明模式高估了海冰表层的消融过程,导致模拟结束阶段的海冰厚度偏薄.我们的研究表明,使用变量完整的MOSAiC大气和海洋强迫场可以诊断目前海冰模式中的问题,为海冰模式的改进奠定基础.
Simulation error diagnosis of the seasonal evolution of sea ice thickness during MOSAiC in-situ observation
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 at-mospheric 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 atmo-spheric 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.

MOSAiCthermodynamic schememelt pond schemeICEPACK sea ice modelsea ice thicknesssnow thicknessArctic Ocean

陆洋、赵海波、赵嘉炜、王晓春、何宜军、雷瑞波、喻小勇

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南京信息工程大学 海洋科学学院,江苏 南京 210044

三亚海洋实验室,海南 三亚 572024

中国极地研究中心 自然资源部极地科学重点实验室,上海 200136

无锡学院 大气与遥感学院,江苏 无锡 214105

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MOSAiC观测计划 热力学方案 融池方案 ICEPACK海冰模式 海冰厚度 积雪深度 北冰洋

国家重点研发计划国家重点研发计划国家自然科学基金委项目&&

2021YFC28033012018YFA060590442376200SOLZSKY2024005

2024

10.12284/hyxb2024065

海洋学报(中文版)
中国海洋学会

海洋学报(中文版)

CSTPCD北大核心
影响因子：1.044
ISSN：0253-4193
年,卷(期)：2024.46(6)