Assimilating Copernicus SST data into a pan-Arctic ice-ocean coupled model with a local SEIK filter

doi:10.1175/JTECH-D-16-0166.1

CORC > 自然资源部第一海洋研究所 > 自然资源部第一海洋研究所 > 业务部门 > 海洋环境与数值模拟研究室

	Assimilating Copernicus SST data into a pan-Arctic ice-ocean coupled model with a local SEIK filter
	Liang, Xi 1; Yang, Qinghua 1; Nerger, Lars 2; Losa, Svetlana N.2; Zhao, Biao 3; Zheng, Fei 4; Zhang, Lin 1; Wu, Lixin 5,6
刊名	Journal of Atmospheric and Oceanic Technology
	2017
卷号	34 期号:9 页码:1985-1999
关键词	Atmospheric temperature Bandpass filters Kalman filters Sea ice Submarine geophysics Surface properties Surface waters Underwater acoustics
ISSN号	07390572
DOI	10.1175/JTECH-D-16-0166.1
英文摘要	Sea surface temperature (SST) data from the Copernicus Marine Environment Monitoring Service are assimilated into a pan-Arctic ice-ocean coupled model using the ensemble-based local singular evolutive interpolated Kalman (LSEIK) filter. This study found that the SST deviation between model hindcasts and independent SST observations is reduced by the assimilation. Compared with model results without data assimilation, the deviation between the model hindcasts and independent SST observations has decreased by up to 0.2°C at the end of summer. The strongest SST improvements are located in the Greenland Sea, the Beaufort Sea, and the Canadian Arctic Archipelago. The SST assimilation also changes the sea ice concentration (SIC). Improvements of the ice concentrations are found in the Canadian Arctic Archipelago, the Beaufort Sea, and the central Arctic basin, while negative effects occur in the west area of the eastern Siberian Sea and the Laptev Sea. Also, sea ice thickness (SIT) benefits from ensemble SST assimilation. A comparison with upward-looking sonar observations reveals that hindcasts of SIT are improved in the Beaufort Sea by assimilating reliable SST observations into light ice areas. This study illustrates the advantages of assimilating SST observations into an ice-ocean coupled model system and suggests that SST assimilation can improve SIT hindcasts regionally during the melting season. © 2017 American Meteorological Society.
电子版国际标准刊号	15200426
资助项目	National Natural Science Foundation of China[41506224] ; National Natural Science Foundation of China[41376005] ; National Natural Science Foundation of China[41506038]
WOS研究方向	Engineering ; Meteorology & Atmospheric Sciences
语种	英语
出版者	American Meteorological Society
WOS记录号	WOS:000411438800008
内容类型	期刊论文
源URL	[http://ir.fio.com.cn/handle/2SI8HI0U/6500]
专题	业务部门_海洋环境与数值模拟研究室
作者单位	1.Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing, China;; 2.Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany;; 3.First Institute of Oceanography, State Oceanic Administration, Qingdao, China;; 4.International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;; 5.Physical Oceanography Laboratory, Qingdao Collaborative Innovation Center of Marine Science and Technology (CIMST), Ocean University of China, Qingdao, China;; 6.Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
推荐引用方式 GB/T 7714	Liang, Xi,Yang, Qinghua,Nerger, Lars,et al. Assimilating Copernicus SST data into a pan-Arctic ice-ocean coupled model with a local SEIK filter[J]. Journal of Atmospheric and Oceanic Technology,2017,34(9):1985-1999.
APA	Liang, Xi.,Yang, Qinghua.,Nerger, Lars.,Losa, Svetlana N..,Zhao, Biao.,...&Wu, Lixin.(2017).Assimilating Copernicus SST data into a pan-Arctic ice-ocean coupled model with a local SEIK filter.Journal of Atmospheric and Oceanic Technology,34(9),1985-1999.
MLA	Liang, Xi,et al."Assimilating Copernicus SST data into a pan-Arctic ice-ocean coupled model with a local SEIK filter".Journal of Atmospheric and Oceanic Technology 34.9(2017):1985-1999.