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

Nariman Firoozy, Alexander S. Komarov, Puyan Mojabi, David G. Barber, Jack C. Landy, Randall K. Scharien

Research output: Contribution to journalArticle (Academic Journal)

4 Citations (Scopus)

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.

Original languageEnglish
Article number7297874
Pages (from-to)326-338
Number of pages13
JournalIEEE Journal of Oceanic Engineering
Volume41
Issue number2
DOIs
Publication statusPublished - 1 Apr 2016

Keywords

  • Electromagnetic inverse scattering
  • polarimetric time-series radar signatures
  • salinity and temperature profiles
  • snow-covered surfaces

Fingerprint Dive into the research topics of 'Retrieval of Young Snow-Covered Sea-Ice Temperature and Salinity Evolution Through Radar Cross-Section Inversion'. Together they form a unique fingerprint.

Cite this