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
Viewed
Total article views: 3,507 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,314
1,091
102
3,507
136
188
HTML: 2,314
PDF: 1,091
XML: 102
Total: 3,507
BibTeX: 136
EndNote: 188
Views and downloads (calculated since 19 Jun 2020)
Cumulative views and downloads
(calculated since 19 Jun 2020)
Total article views: 2,821 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,986
766
69
2,821
96
148
HTML: 1,986
PDF: 766
XML: 69
Total: 2,821
BibTeX: 96
EndNote: 148
Views and downloads (calculated since 24 Feb 2021)
Cumulative views and downloads
(calculated since 24 Feb 2021)
Total article views: 686 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
328
325
33
686
40
40
HTML: 328
PDF: 325
XML: 33
Total: 686
BibTeX: 40
EndNote: 40
Views and downloads (calculated since 19 Jun 2020)
Cumulative views and downloads
(calculated since 19 Jun 2020)
Viewed (geographical distribution)
Total article views: 3,507 (including HTML, PDF, and XML)
Thereof 3,032 with geography defined
and 475 with unknown origin.
Total article views: 2,821 (including HTML, PDF, and XML)
Thereof 2,476 with geography defined
and 345 with unknown origin.
Total article views: 686 (including HTML, PDF, and XML)
Thereof 556 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...
