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Retrieval of Young Snow-Covered Sea-Ice Temperature and Salinity Evolution Through Radar Cross-Section Inversion.
- Source :
- IEEE Journal of Oceanic Engineering; Apr2016, Vol. 41 Issue 2, p326-338, 13p
- Publication Year :
- 2016
-
Abstract
- This paper utilizes an electromagnetic inverse-scattering algorithm to quantitatively reconstruct the vertical temperature and salinity profiles of snow-covered sea ice from time-series monostatic polarimetric normalized radar cross-section (NRCS) data. The reconstructed profile at a given time step is utilized to provide a priori information for the profile reconstruction at the subsequent time step. This successive use of a priori information in the inversion algorithm results in achieving high reconstruction accuracy over the time period of interest. This inversion scheme is evaluated against the experimental data collected from snow-covered sea ice grown in an Arctic ocean mesocosm facility. It will be shown that the time evolution of the temperature, salinity, and density profiles of an artificially grown snow-covered sea ice can be quantitatively reconstructed using single-frequency time-series radar cross-section data assuming that these profiles are initially known with sufficient accuracy. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 03649059
- Volume :
- 41
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- IEEE Journal of Oceanic Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 114640280
- Full Text :
- https://doi.org/10.1109/JOE.2015.2458212