Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/tc-2017-170
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
06 Sep 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal The Cryosphere (TC).
Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data
Sanggyun Lee1, Hyun-Cheol Kim2, and Jungho Im1,3 1School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44949, South Korea
2Unit of Arctic Sea-Ice prediction, Korea Polar Research Institute (KOPRI), Incheon, 21990, South Korea
3Environmental Resource Engineering, State University of New York, College of Environmental Science and Forestry, 13210, Syracuse, NY, USA
Abstract. Arctic sea ice leads play a major role in exchanging heat and momentum between the Arctic atmosphere and ocean as well as in the retrieval of sea ice thickness. Although leads cover only a small portion of the Arctic Ocean, they affect the heat budget in the Arctic region considerably. In this study, we propose a waveform mixture analysis to detect leads, which is novel and different from the existing threshold-based lead detection methods. The waveform mixture analysis adopts the concept of linear mixture analysis that is widely used in the field of hyperspectral image analysis. This lead detection method based on the waveform mixture analysis was evaluated with high resolution (250 m) MODIS images and showed better performance in detecting leads than previous methods. The robustness of the proposed approach also lies in the fact that it does not require the rescaling of parameters, as it directly uses L1B waveform data unlike the existing threshold-based methods. Monthly lead fraction maps derived by the waveform mixture analysis were produced, which show a strong inter-annual variability of recent sea ice cover during 2006–2011 excluding the summer season (i.e., June to September). We also compared the lead fraction maps to other lead fraction maps generated from the literature, resulting in similar spatiotemporal patterns.

Citation: Lee, S., Kim, H.-C., and Im, J.: Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-170, in review, 2017.
Sanggyun Lee et al.
Sanggyun Lee et al.
Sanggyun Lee et al.

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Short summary
Arctic sea ice leads play a major role in exchanging heat and momentum between the Arctic atmosphere and ocean. In this study, we propose a novel lead detection approach based on waveform mixture analysis. The proposed approach performed better in detecting leads than the existing threshold-based methods. The robustness of the proposed approach also lies in the fact that it does not require the rescaling of parameters, as it directly uses L1B waveform data unlike the existing methods.
Arctic sea ice leads play a major role in exchanging heat and momentum between the Arctic...
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