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
Ming Li
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
Viewed
Total article views: 2,508 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,686
752
70
2,508
80
85
HTML: 1,686
PDF: 752
XML: 70
Total: 2,508
BibTeX: 80
EndNote: 85
Views and downloads (calculated since 19 Jun 2020)
Cumulative views and downloads
(calculated since 19 Jun 2020)
Total article views: 1,881 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,381
462
38
1,881
42
48
HTML: 1,381
PDF: 462
XML: 38
Total: 1,881
BibTeX: 42
EndNote: 48
Views and downloads (calculated since 24 Feb 2021)
Cumulative views and downloads
(calculated since 24 Feb 2021)
Total article views: 627 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
305
290
32
627
38
37
HTML: 305
PDF: 290
XML: 32
Total: 627
BibTeX: 38
EndNote: 37
Views and downloads (calculated since 19 Jun 2020)
Cumulative views and downloads
(calculated since 19 Jun 2020)
Viewed (geographical distribution)
Total article views: 2,508 (including HTML, PDF, and XML)
Thereof 2,037 with geography defined
and 471 with unknown origin.
Total article views: 1,881 (including HTML, PDF, and XML)
Thereof 1,540 with geography defined
and 341 with unknown origin.
Total article views: 627 (including HTML, PDF, and XML)
Thereof 497 with geography defined
and 130 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...