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Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval

文献类型：期刊论文

作者Zhang, Tianyu1,2,3; Shokr, Mohammed4; Zhang, Zhida1,2; Hui, Fengming1,2; Cheng, Xiao1,2; Zhang, Zhilun1,2; Zhao, Jiechen5; Mi, Chunlei6,7
刊名ACTA OCEANOLOGICA SINICA
出版日期2024-07-01
卷号43期号:7页码:93-111
关键词Arctic sea ice 1-D thermodynamic ice model thin-ice thickness sea ice parameterization
ISSN号0253-505X
DOI10.1007/s13131-023-2210-x
产权排序6
英文摘要Retrieval of Thin-Ice Thickness (TIT) using thermodynamic modeling is sensitive to the parameterization of the independent variables (coded in the model) and the uncertainty of the measured input variables. This article examines the deviation of the classical model's TIT output when using different parameterization schemes and the sensitivity of the output to the ice thickness. Moreover, it estimates the uncertainty of the output in response to the uncertainties of the input variables. The parameterized independent variables include atmospheric longwave emissivity, air density, specific heat of air, latent heat of ice, conductivity of ice, snow depth, and snow conductivity. Measured input parameters include air temperature, ice surface temperature, and wind speed. Among the independent variables, the results show that the highest deviation is caused by adjusting the parameterization of snow conductivity and depth, followed ice conductivity. The sensitivity of the output TIT to ice thickness is highest when using parameterization of ice conductivity, atmospheric emissivity, and snow conductivity and depth. The retrieved TIT obtained using each parameterization scheme is validated using in situ measurements and satellite-retrieved data. From in situ measurements, the uncertainties of the measured air temperature and surface temperature are found to be high. The resulting uncertainties of TIT are evaluated using perturbations of the input data selected based on the probability distribution of the measurement error. The results show that the overall uncertainty of TIT to air temperature, surface temperature, and wind speed uncertainty is around 0.09 m, 0.049 m, and -0.005 m, respectively.
WOS关键词SEA-ICE ; WEDDELL SEA ; OPEN-WATER ; POLYNYA ; SATELLITE ; ALGORITHM ; DISCRIMINATION ; EXCHANGE ; OKHOTSK ; PRODUCT
WOS研究方向Oceanography
语种英语
WOS记录号WOS:001334339500009
出版者SPRINGER
源URL[http://ir.igsnrr.ac.cn/handle/311030/210013]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Hui, Fengming
作者单位1.Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China
2.Sun Yat Sen Univ, Key Lab Comprehens Observat Polar Environm, Minist Educ, Zhuhai 519082, Peoples R China
3.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
4.Environm & Climate Change Canada, Sci & Technol Branch, Toronto, ON M3H 5T4, Canada
5.Harbin Engn Univ, Qingdao Innovat & Dev Base Ctr, Qingdao 266500, Peoples R China
6.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Tianyu,Shokr, Mohammed,Zhang, Zhida,et al. Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval[J]. ACTA OCEANOLOGICA SINICA,2024,43(7):93-111.
APA Zhang, Tianyu.,Shokr, Mohammed.,Zhang, Zhida.,Hui, Fengming.,Cheng, Xiao.,...&Mi, Chunlei.(2024).Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval.ACTA OCEANOLOGICA SINICA,43(7),93-111.
MLA Zhang, Tianyu,et al."Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval".ACTA OCEANOLOGICA SINICA 43.7(2024):93-111.

入库方式： OAI收割

来源：地理科学与资源研究所

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