Sea ice kinematics and surface properties from RADARSAT synthetic aperture radar during the SHEBA drift

被引:39
作者
Stern, HL [1 ]
Moritz, RE [1 ]
机构
[1] Univ Washington, Appl Phys Lab, Polar Sci Ctr, Seattle, WA 98105 USA
关键词
sea ice; synthetic aperture radar (SAR); SHEBA;
D O I
10.1029/2000JC000472
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
[1] Satellite data are important for providing the large-scale context of the Surface Heat Budget of the Arctic Ocean (SHEBA) station and for characterizing the spatial variability of the sea ice in its vicinity. The Canadian RADARSAT satellite collected 195 synthetic aperture radar (SAR) images of the SHEBA site over the course of the 1 year drift. The RADARSAT Geophysical Processor System (RGPS) used these images to compute the spatial pattern of ice motion within 100 km of the SHEBA station by tracking features in sequential images. From the ice motion data the divergence and shear of the pack ice are estimated. The divergence is large from November to January, followed by a gradual convergence from February through July. The character of the ice motion changes at the end of July, from piecewise rigid motion to free drift. The ice motion reverts to its winterlike character in late September. Thus the "kinematic" summer runs from late July to late September. The radar backscatter also goes through seasonal transitions, capturing the abrupt onset of melt (29 May) and freeze-up (15 August). The concentration of multiyear ice is about 94% in the fall, and its backscatter signature remains stable through spring. Multiyear and first-year ice cannot be distinguished during the summer melt season, when the mean backscatter is negatively correlated with the surface air temperature. The "thermodynamic" summer runs from late May to mid-August.
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页数:10
相关论文
共 22 条
[1]  
BABKO O, 2000, THESIS U WASH SEATTL
[2]   Applications of SHEBA/FIRE data to evaluation of snow/ice albedo parameterizations [J].
Curry, JA ;
Schramm, JL ;
Perovich, DK ;
Pinto, JO .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D14) :15345-15355
[3]  
Hallikainen M., 1992, Microwave Remove Sensing of Sea Ice, VVolume 68, P29, DOI DOI 10.1029/GM068P0029
[4]   On modeling the anisotropic failure and flow of flawed sea ice [J].
Hibler, WD ;
Schulson, EM .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2000, 105 (C7) :17105-17120
[5]  
Holt B., 1992, MICROWAVE REMOTE SEN, P343
[6]  
HOPKINS MA, 1999, P 15 INT C PORT OC E, V1, P91
[7]   Informational equivalence between synthetic aperture radar imagery and the thickness of Arctic pack ice [J].
Kerman, B ;
Wadhams, P ;
Davis, N ;
Comiso, J .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1999, 104 (C12) :29721-29731
[8]   IDENTIFICATION OF SEA ICE TYPES IN SPACEBORNE SYNTHETIC APERTURE RADAR DATA [J].
KWOK, R ;
RIGNOT, E ;
HOLT, B ;
ONSTOTT, R .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1992, 97 (C2) :2391-2402
[9]   DETERMINATION OF THE AGE DISTRIBUTION OF SEA-ICE FROM LAGRANGIAN OBSERVATIONS OF ICE MOTION [J].
KWOK, R ;
ROTHROCK, DA ;
STERN, HL ;
CUNNINGHAM, GF .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1995, 33 (02) :392-400
[10]   AN ICE-MOTION TRACKING SYSTEM AT THE ALASKA SAR FACILITY [J].
KWOK, R ;
CURLANDER, JC ;
MCCONNELL, R ;
PANG, SS .
IEEE JOURNAL OF OCEANIC ENGINEERING, 1990, 15 (01) :44-54