DocumentCode :
340055
Title :
Temporal variability of polynyas from combined ERS and SSM/I investigations
Author :
Dokken, Sverre Thune ; Winsor, Peter ; Askne, Jan ; Björk, Göran
Author_Institution :
Dept. of Radio & Space Sci., Chalmers Univ. of Technol., Goteborg, Sweden
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
317
Abstract :
A model describing wind-driven coastal polynyas and the effects of brine rejection on the local salinity field is compared to remote sensing data from ERS-1/2 and SSM/I. The ERS SAR browse image product is applied for animating the temporal and spatial extent of the polynyas and thereafter the precision image (PRI) product for high resolution studies of the identified polynyas. Daily averaged SSM/I sea ice concentration data derived from the NASA Team and the bootstrap algorithms are applied as secondary data for polynya identification. A comparison of these algorithms to the high resolution SAR shows significant differences. The ERS SAR images are shown to be important for verifying the numerical model and for understanding the polynyas´ development processes while the SSM/I has significantly less correlation with the numerical model and the SAR
Keywords :
geophysical signal processing; oceanographic regions; oceanographic techniques; radiometry; remote sensing; remote sensing by radar; sea ice; sensor fusion; spaceborne radar; synthetic aperture radar; Arctic Ocean; ERS; SAR; SSM/I; bootstrap algorithm; coast; gap; identification; lead; measurement technique; microwave radiometry; model; ocean; polynya; radar imaging; radar remote sensing; remote sensing; sea ice; sensor fusion; temporal variability; temporal variation; wind-driven coastal polynya; Animation; Arctic; Electronic mail; Force measurement; Ice; Marine technology; Numerical models; Oceans; Sea measurements; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
Type :
conf
DOI :
10.1109/IGARSS.1999.773483
Filename :
773483
Link To Document :
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