Comparisons of sea-ice velocity fields from ERS-1 SAR and a dynamic model

被引:26
作者
Lepparanta, M
Sun, Y
Haapala, J
机构
[1] Univ Helsinki, Dept Geophys, FIN-00014 Helsinki, Finland
[2] Chalmers, Dept Radio & SpaceSci, S-41296 Gothenburg, Sweden
关键词
D O I
10.3189/S0022143000002598
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Numerical models for sea-ice thickness distribution and velocity are used for ice-dynamics research and ice forecasting. In the modeling work, ERS-1 SAR is an excellent tool, in particular by providing spatial ice-velocity fields as described in the present Baltic Sea study. Ice velocities were extracted from SAR data with 3 and 6 day time intervals using the optical-flow method. A considerable stiffening of the ice pack was observed due to the change in the character of ice deformation under compression from rafting to ridging as the minimum ice thickness increased from 10 to 30 cm. The coastal alignment was strong in the ice motion and the character of ice deformation under compression from rafting to ridging a the minimum ice thickness increased from 10 to 30 cm. The coastal alignment was strong in the ice motion and the coastal boundary layer width was 20 30 km. An analysis of the SAR data with an ice-dynamics model showed that the observed overall ice-velocity field could be produced using the Hibler viscous-plastic ice rheology. The compressive strength of the ice (over 10 km scales) was 2.5 x 10(4) N m(-2) +/- 50% for ridging and negligible for rafting of very thin ice. The shear strength was significant and the normal yield ellipse aspect ratio of 2 was valid. The 3 day time interval is valid for updating an ice model but for detailed ice-dynamics investigations a data frequency of 1 d(-1) or higher would be preferable.
引用
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页码:248 / 262
页数:15
相关论文
共 29 条
[1]  
CARLSTROM A, 1994, 19942 RSG CHALM U TE
[2]   OBJECT-ORIENTED FEATURE-TRACKING ALGORITHMS FOR SAR IMAGES OF THE MARGINAL ICE-ZONE [J].
DAIDA, J ;
SAMADANI, R ;
VESECKY, JF .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1990, 28 (04) :573-589
[3]  
DAMMERT PBG, 1997, ESA, P923
[4]   SEA ICE TRACKING BY NESTED CORRELATIONS [J].
FILY, M ;
ROTHROCK, DA .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1987, 25 (05) :570-580
[5]  
FLATO GM, 1992, J PHYS OCEANOGR, V22, P626, DOI 10.1175/1520-0485(1992)022<0626:MPIAAC>2.0.CO
[6]  
2
[7]   A 2-DIMENSIONAL MODEL FOR THE DYNAMICS OF SEA-ICE [J].
GRAY, JMNT ;
MORLAND, LW .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1994, 347 (1682) :219-290
[8]   Simulating the Baltic Sea ice season with a coupled ice-ocean model [J].
Haapala, J ;
Lepparanta, M .
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 1996, 48 (05) :622-643
[9]  
HIBLER WD, 1979, J PHYS OCEANOGR, V9, P815, DOI 10.1175/1520-0485(1979)009<0815:ADTSIM>2.0.CO
[10]  
2