Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Ministry of Natural Resources,
Beijing, China
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Ministry of Natural Resources,
Beijing, China
Qizhen Sun
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Ministry of Natural Resources,
Beijing, China
Ministry of Education Key Laboratory for Earth System Modelling,
Department of Earth System Science, Tsinghua University, Beijing, China
L. Bruno Tremblay
Department of Atmospheric and Oceanic Sciences, McGill University,
Montreal, Canada
Bo Lin
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Ministry of Natural Resources,
Beijing, China
Xiaoping Mai
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Ministry of Natural Resources,
Beijing, China
Fu Zhao
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Ministry of Natural Resources,
Beijing, China
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Ministry of Natural Resources,
Beijing, China
Na Liu
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Ministry of Natural Resources,
Beijing, China
Zhikun Chen
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Ministry of Natural Resources,
Beijing, China
Yunfei Zhang
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Ministry of Natural Resources,
Beijing, China
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Total article views: 3,611 (including HTML, PDF, and XML)
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2,375
1,128
108
3,611
144
196
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PDF: 1,128
XML: 108
Total: 3,611
BibTeX: 144
EndNote: 196
Views and downloads (calculated since 19 Jun 2020)
Cumulative views and downloads
(calculated since 19 Jun 2020)
Total article views: 2,916 (including HTML, PDF, and XML)
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2,042
800
74
2,916
102
154
HTML: 2,042
PDF: 800
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Total: 2,916
BibTeX: 102
EndNote: 154
Views and downloads (calculated since 24 Feb 2021)
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Total article views: 695 (including HTML, PDF, and XML)
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333
328
34
695
42
42
HTML: 333
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Total: 695
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,611 (including HTML, PDF, and XML)
Thereof 3,137 with geography defined
and 474 with unknown origin.
Total article views: 2,916 (including HTML, PDF, and XML)
Thereof 2,573 with geography defined
and 343 with unknown origin.
Total article views: 695 (including HTML, PDF, and XML)
Thereof 564 with geography defined
and 131 with unknown origin.
Sea ice plays a crucial role in global energy and water budgets. To get a better simulation of sea ice, we coupled a sea ice model with an atmospheric and ocean model to form a fully coupled system. The sea ice simulation results of this coupled system demonstrated that a two-way coupled model has better performance in terms of sea ice, especially in summer. This indicates that sea-ice–ocean–atmosphere interaction plays a crucial role in controlling Arctic summertime sea ice distribution.
Sea ice plays a crucial role in global energy and water budgets. To get a better simulation of...
