Retrieval of Young Snow-Covered Sea-Ice Temperature and Salinity Evolution Through Radar Cross-Section Inversion


This paper utilizes an electromagnetic inverse-scattering algorithm to quantitatively reconstruct the vertical temperature and salinity profiles of snow-coated sea ice from time-series monostatic polarimetric normalized radar cross-section (NRCS) knowledge. The reconstructed profile at a given time step is utilized to provide a priori info for the profile reconstruction at the following time step. This successive use of a priori data in the inversion algorithm results in achieving high reconstruction accuracy over the time period of interest. This inversion scheme is evaluated against the experimental information collected from snow-lined ocean 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-coated sea ice can be quantitatively reconstructed using single-frequency time-series radar cross-section information assuming that these profiles are initially known with sufficient accuracy.

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