Articles | Volume 9, issue 5
The Cryosphere, 9, 1797–1817, 2015
https://doi.org/10.5194/tc-9-1797-2015
The Cryosphere, 9, 1797–1817, 2015
https://doi.org/10.5194/tc-9-1797-2015

Research article 15 Sep 2015

Research article | 15 Sep 2015

Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations

N. Ivanova et al.

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Cited articles

Andersen, S., Tonboe, R., Kern, S., and Schyberg, H.: Improved retrieval of sea ice total concentration from spaceborne passive microwave observations using numerical weather prediction model fields: an intercomparison of nine algorithms, Remote Sens. Environ., 104, 374–392, 2006.
Andersen, S., Tonboe, R., Kaleschke, L., Heygster, G., and Pedersen, L. T.: Intercomparison of passive microwave sea ice concentration retrievals over the high-concentration Arctic sea ice, J. Geophys. Res., 112, C08004, https://doi.org/10.1029/2006JC003543, 2007.
Ashcroft, P. and Wentz, F. J.: AMSR-E/Aqua L2A Global Swath Spatially-Resampled Brightness Temperatures, Version 2, NASA DAAC at the National Snow and Ice Data Center, Boulder, Colorado USA, https://doi.org/10.5067/AMSR-E/AE_L2A.002, 2003.
Brucker, L., Cavalieri, D. J., Markus, T., and Ivanoff, A.: NASA Team 2 Sea Ice Concentration Algorithm Retrieval Uncertainty, IEEE T. Geosci. Remote, 52, 7336–7352, https://doi.org/10.1109/TGRS.2014.2311376, 2014.
Cavalieri, D. J.: A microwave technique for mapping thin sea ice, J. Geophys. Res., 99, 12561–12572, https://doi.org/10.1029/94JC00707, 1994.
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Short summary
Thirty sea ice algorithms are inter-compared and evaluated systematically over low and high sea ice concentrations, as well as in the presence of thin ice and melt ponds. A hybrid approach is suggested to retrieve sea ice concentration globally for climate monitoring purposes. This approach consists of a combination of two algorithms plus the implementation of a dynamic tie point and atmospheric correction of input brightness temperatures.