Assimilating Copernicus SST Data into a Pan-Arctic Ice-Ocean Coupled Model with a Local SEIK Filter | |
Liang, Xi1; Yang, Qinghua1; Nerger, Lars2; Losa, Svetlana N.2; Zhao, Biao3; Zheng, Fei4; Zhang, Lin1; Wu, Lixin5,6 | |
刊名 | JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
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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. |
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/handle/2SI8HI0U/3088] ![]() |
专题 | 业务部门_海洋环境与数值模拟研究室 |
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. |
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