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Volume 11, issue 6
The Cryosphere, 11, 2571–2593, 2017
https://doi.org/10.5194/tc-11-2571-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 11, 2571–2593, 2017
https://doi.org/10.5194/tc-11-2571-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 13 Nov 2017

Research article | 13 Nov 2017

Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge

Ron Kwok et al.
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Cited articles  
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Coleman, T. F. and Li, Y.: An Interior, Trust Region Approach for Nonlinear Minimization Subject to Bounds, SIAM J. Optimiz., 6, 418–445, 1996.
Farrell, S. L., Kurtz, N., Connor, L. N., Elder, B., Leuschen, C., Markus, T., McAdoo, D., and Sonntag, J.: A First Assessment of IceBridge Snow and Ice Thickness Data Over Arctic Sea Ice, IEEE T. Geosci. Remote, 50, 2098–2111, 2012.
Fetterer, F. and Untersteiner, N.: Observations of melt ponds on Arctic sea ice, J. Geophys. Res., 103, 24821–24835, 1998.
Holt, B., Johnson, M. P., Perkovic-Martin, D., and Panzer, B.: Snow depth on Arctic sea ice derived from radar: In situ comparisons and time series analysis, J. Geophys. Res., 120, 4260–4287, 2015.
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Short summary
Since 2009, the ultra-wideband snow radar on Operation IceBridge has acquired data in annual campaigns conducted during the Arctic and Antarctic springs. Existing snow depth retrieval algorithms differ in the way the air–snow and snow–ice interfaces are detected and localized in the radar returns and in how the system limitations are addressed. Here, we assess five retrieval algorithms by comparisons with field measurements, ground-based campaigns, and analyzed fields of snow depth.
Since 2009, the ultra-wideband snow radar on Operation IceBridge has acquired data in annual...
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