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Discussion papers
https://doi.org/10.5194/tc-2019-200
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-2019-200
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 19 Nov 2019

Submitted as: research article | 19 Nov 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal The Cryosphere (TC).

Inter-comparison and evaluation of sea ice type concentration algorithms

Yufang Ye1, Mohammed Shokr2, Signe Aaboe3, Wiebke Aldenhoff1, Leif E. B. Eriksson1, Georg Heygster4, Christian Melsheimer4, and Fanny Girard-Ardhuin5 Yufang Ye et al.
  • 1Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
  • 2Meteorological Research Division, Environment and Climate Change Canada, Toronto, Canada
  • 3Department of Remote Sensing and Data Management, Norwegian Meteorological Institute, Tromso, Norway
  • 4Institute of Environmental Physics, University of Bremen, Bremen, Germany
  • 5Ifremer, University of Brest, CNRS, IRD, Laboratoire d’Oceanographie Physique et Spatiale (LOPS), IUEM, Brest, France

Abstract. Sea ice has been monitored in terms of concentration and types with microwave satellite observations since the late 1970s. However, it remains an open question as to which sea ice type concentration (SITC) method is most appropriate for ice type distribution and hence climate monitoring. This paper presents key results of inter-comparison and evaluation for eight SITC methods. The SITC methods were inter-compared with two sea ice age (SIA) and three sea ice type (SIT) products using microwave radiometer and scatterometer data from 2000 to 2015. Their performances were evaluated quantitatively with samples that are used for generating tie points, and qualitatively with the RADARSAT imagery. The methods that combined scatterometer and radiometer data have overall better performances on ice type discrimination. The best methods are ECICE-QSCAT-2 for the years 2000–2009 and ECICE-ASCAT for 2009–2015, both using scatterometer data along with radiometer data. Although the SIA and SIT products are fairly good datasets for delineating ice type distributions, the SITC methods are better on preserving details like varied concentration of different ice types and work better under specific sea ice conditions, for instance, homogeneous sea ice regions with little artifact for SIA algorithms to track.

Yufang Ye et al.
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Short summary
Sea ice has been monitored with microwave satellite observations since the late 1970s. However, the question remains as to which sea ice type concentration (SITC) method is most appropriate for ice type distribution and hence climate monitoring. This paper presents key results of inter-comparison and evaluation for eight SITC methods. The SITC methods were inter-compared with sea ice age and sea ice type products. Their performances were evaluated quantitatively and qualitatively.
Sea ice has been monitored with microwave satellite observations since the late 1970s. However,...
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