Cite this paper:
Hao Guanghua, Zhao Jiechen, Li Chunhua, Yang Qinghua, Wang Jiangpeng, Sun Xiaoyu, Zhang Lin. The sea ice observations and assessment of satellite sea-ice concentration along the Central Arctic Passage in summer 2017[J]. Haiyang Xuebao, 2018, 40(11): 54-63

The sea ice observations and assessment of satellite sea-ice concentration along the Central Arctic Passage in summer 2017

Hao Guanghua1, Zhao Jiechen1, Li Chunhua1, Yang Qinghua2, Wang Jiangpeng3, Sun Xiaoyu1, Zhang Lin1
1. Key Laboratory of Research on Marine Hazards Forcasting, National Marine Environmental Forecasting Center, Beijing 100081, China;
2. Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China;
3. National Ocean Technology Center, Tianjin 300112, China
In summer 2017, for the first time, the Chinese R/V Xuelong successfully passed through the Central Arctic Passage (CAP) during the Chinese National Arctic Research Expedition (CHINARE 2017), the ship-based sea ice observations were carried out during this cruise. The results showed that the CAP was mainly occupied by thick first-year ice, the average sea ice concentration (SIC) and thickness along the CAP were 0.64 and 1.5 m, respectively; the ice floes in the central Arctic Ocean are significantly larger than the sea ice edge area. The 5 commonly used passive microwave satellite retrieved SIC datasets with a spatial resolution higher than 10 km were inter-compared and assessed using the ship-based SIC. The point to point comparison showed the AMSR2 SIC datasets (Bootstrap algorithm) released by University of Bremen had the largest bias and rms (root mean square) values with 0.19 and 0.28, while the AMSR2 SIC datasets (OSHD and TUD algorithm, respectively) released by Ocean and Sea Ice Satellite Application Facility (OSI SAF) were with the smallest bias of -0.02 and 0.01, and the rms values were both 0.20. The daily mean comparison showed that the AMSR2 SIC dataset (Bootstrap algorithm) released by University of Bremen and the AMSR2/OSI SAF (TUD) dataset had the largest (0.15 and 0.20) and smallest (0.0 and 0.11) mean bias and rms values, respectively.
Key words:    Arctic Central Passage    sea ice    observation    passive microwave    assessment   
Received: 2018-01-19   Revised: 2018-04-28
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