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

	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
	2017-09
卷号	34 期号:9 页码:1985-1999
ISSN号	0739-0572
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 degrees 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.
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关键词	SEQUENTIAL DATA ASSIMILATION ; CALIFORNIA CURRENT SYSTEM ; SEA-ICE ; CIRCULATION MODEL ; DYNAMICS ; PREDICTION ; THICKNESS ; NORTH
WOS研究方向	Engineering ; Meteorology & Atmospheric Sciences
语种	英语
出版者	AMER METEOROLOGICAL SOC
WOS记录号	WOS:000411438800008
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/27371]
专题	自然资源部第一海洋研究所
通讯作者	Liang, Xi
作者单位	1.Natl Marine Environm Forecasting Ctr, Key Lab Res Marine Hazards Forecasting, Beijing, Peoples R China 2.Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Bremerhaven, Germany 3.State Ocean Adm, First Inst Oceanog, Qingdao, Peoples R China 4.Chinese Acad Sci, Inst Atmospher Phys, Int Ctr Climate & Environm Sci, Beijing, Peoples R China 5.Ocean Univ China, Qingdao Collaborat Innovat Ctr Marine Sci & Techn, Phys Oceanog Lab, Qingdao, Peoples R China 6.Qingdao Natl Lab Marine Sci & Technol, Qingdao, Peoples R 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.