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Journal of Oceanography

, Volume 69, Issue 2, pp 215–227 | Cite as

Dual-polarized ratio algorithm for retrieving Arctic sea ice concentration from passive microwave brightness temperature

  • Shugang Zhang
  • Jinping Zhao
  • Karen Frey
  • Jie Su
Original Article

Abstract

We present a new algorithm for retrieving sea ice concentration from the AMSR-E data, the dual-polarized ratio (DPR) algorithm. The DPR algorithm is developed using vertically and horizontally polarized brightness temperatures at the same channel of 36.5 GHz. It depends on the ratio of dual-polarized emissivity, α, which is determined empirically at about 0.92 by remotely sensed brightness temperature in winter and used for the other seasons as well. The ice concentration retrieved by the DPR is compared with those by the NT2 and ABA algorithms. Since the main difference among these algorithms takes place in marginal ice zones, 17 marginal ice zones are chosen. The retrieved ice concentrations in these zones are examined by the ice concentration obtained by the MODIS data. The mean error, root-mean-square error and mean absolute error of the DPR algorithm are relatively better than those from the other two algorithms. The results of this study illustrate that the DPR algorithm is a more accurate algorithm for retrieving sea ice concentration from the AMSR-E brightness temperature, and can be used for operational purposes.

Keywords

Arctic Ice concentration AMSR-E Brightness temperature Dual-polarized ratio algorithm 

Notes

Acknowledgments

This study is supported by the Global Change Research Program (2010CB951403) and the Hi-tech Program of China (2008AA121701).

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Copyright information

© The Oceanographic Society of Japan and Springer Japan 2013

Authors and Affiliations

  • Shugang Zhang
    • 1
  • Jinping Zhao
    • 1
  • Karen Frey
    • 2
  • Jie Su
    • 1
  1. 1.Ocean University of ChinaQingdaoPeople’s Republic of China
  2. 2.Clark UniversityWorcesterUSA

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