Geophysical interpretation of ScanSAR data in relation to SSM/I data and numerical models of Arctic sea ice

Author

Dokken, Sverre Thune

Author_Institution

Dept. of Stat. Anal., Image Anal. & Pattern Recognition, Norwegian Comput. Center, Oslo, Norway

Volume

1

fYear

2003

fDate

21-25 July 2003

Firstpage

68

Abstract

Characterizing the variability of sea ice in the Polar Regions is fundamental for the understanding of global climate and the geophysical processes governing climate changes. Arctic sea ice distribution and circulation are analyzed with the help of ScanSAR images, numerical models and passive microwave data from the late summer period of 1996. The results from an automatic SAR ice concentration algorithm are compared statistically to an 18 km spatially gridded Arctic ice-ocean numerical model and an SSM/I NASA Team 2 ice concentration algorithm. Furthermore, the SAR and the Arctic ice-ocean numerical model datasets are also compared quantitatively in terms of geophysical properties (ice concentration and ice motion) to a 55.5 km girded barotropic Arctic numerical model.

Keywords

climatology; oceanographic regions; remote sensing by radar; sea ice; synthetic aperture radar; AD 1996; Arctic numerical model; Arctic sea ice; Polar Regions; SAR ice concentration; SSM/I NASA Team 2; SSM/I data; ScanSAR data; ScanSAR images; barotropic numerical model; climate changes; geophysical process; geophysical property; global climate; ice concentration algorithm; ice motion; ice-ocean numerical model; microwave data; passive data; sea ice circulation; sea ice distribution; synthetic aperture radar; Arctic; Geophysics computing; Image analysis; Large-scale systems; NASA; Numerical models; Oceans; Sea ice; Spatial resolution; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1293681

Filename

1293681