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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2,463
1,234
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151
205
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BibTeX: 151
EndNote: 205
Views and downloads (calculated since 19 Jun 2020)
Cumulative views and downloads
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Total article views: 3,111 (including HTML, PDF, and XML)
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BibTeX
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2,129
902
80
3,111
108
162
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XML: 80
Total: 3,111
BibTeX: 108
EndNote: 162
Views and downloads (calculated since 24 Feb 2021)
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Total article views: 700 (including HTML, PDF, and XML)
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334
332
34
700
43
43
HTML: 334
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Total: 700
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Views and downloads (calculated since 19 Jun 2020)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,811 (including HTML, PDF, and XML)
Thereof 3,338 with geography defined
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Total article views: 3,111 (including HTML, PDF, and XML)
Thereof 2,769 with geography defined
and 342 with unknown origin.
Total article views: 700 (including HTML, PDF, and XML)
Thereof 569 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...
