School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, 519082, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, 100029, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, 519082, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, 100029, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, 27570 Bremerhaven, Germany
Qian Shi
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, 519082, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Bo Han
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, 519082, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Renhao Wu
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, 519082, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Jiping Liu
Department of Atmospheric and Environmental Sciences, University at
Albany, State University of New York, New York, 12222, USA
Viewed
Total article views: 4,373 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,028
1,220
125
4,373
127
239
HTML: 3,028
PDF: 1,220
XML: 125
Total: 4,373
BibTeX: 127
EndNote: 239
Views and downloads (calculated since 03 Jul 2019)
Cumulative views and downloads
(calculated since 03 Jul 2019)
Total article views: 3,516 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,673
728
115
3,516
112
224
HTML: 2,673
PDF: 728
XML: 115
Total: 3,516
BibTeX: 112
EndNote: 224
Views and downloads (calculated since 04 Dec 2019)
Cumulative views and downloads
(calculated since 04 Dec 2019)
Total article views: 857 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
355
492
10
857
15
15
HTML: 355
PDF: 492
XML: 10
Total: 857
BibTeX: 15
EndNote: 15
Views and downloads (calculated since 03 Jul 2019)
Cumulative views and downloads
(calculated since 03 Jul 2019)
Viewed (geographical distribution)
Total article views: 4,373 (including HTML, PDF, and XML)
Thereof 3,993 with geography defined
and 380 with unknown origin.
Total article views: 3,516 (including HTML, PDF, and XML)
Thereof 3,292 with geography defined
and 224 with unknown origin.
Total article views: 857 (including HTML, PDF, and XML)
Thereof 701 with geography defined
and 156 with unknown origin.
Sea ice volume export through the Fram Strait has been studied using varied methods, however, mostly in winter months. Here we report sea ice volume estimates that extend over summer seasons. A recent developed sea ice thickness dataset, in which CryoSat-2 and SMOS sea ice thickness together with SSMI/SSMIS sea ice concentration are assimilated, is used and evaluated in the paper. Results show our estimate is more reasonable than that calculated by satellite data only.
Sea ice volume export through the Fram Strait has been studied using varied methods, however,...
