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TC | Articles | Volume 13, issue 12
The Cryosphere, 13, 3261–3307, 2019
https://doi.org/10.5194/tc-13-3261-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 13, 3261–3307, 2019
https://doi.org/10.5194/tc-13-3261-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 10 Dec 2019

Research article | 10 Dec 2019

Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations

Stefan Kern et al.

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Cited articles

Alekseeva, T. Tikhonov, V., Frolov, S., Repina, I., Raev, M., Sokolova, J., Sharkov, E., Afanasieva, E., and Serovetnikov, S.: Comparison of Arctic sea ice concentration from the NASA Team, ASI, and VASIA2 algorithms with summer and winter ship data, Remote Sens., 11, 2481, https://doi.org/10.3390/rs11212481, 2019. 
Andersen, S., Tonboe, R. T., 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., Pedersen, L. T., Heygster, G., Tonboe, R. T., and Kaleschke, L.: 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. 
Beitsch, A., Kern, S., and Kaleschke, L.: Comparison of SSM/I and AMSR-E sea ice concentrations with ASPeCt ship observations around Antarctica, IEEE T. Geosci. Remote, 53, 1985–1996, https://doi.org/10.1109/TGRS.2014.2351497, 2015. 
Brodzik, M. J., Billingsley, B., Haran, T., Raup, B., and Savoie, M. H.: EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets, ISPRS Int. J. Geo-Inf., 1, 32–45, https://doi.org/10.3390/ijgi1010032, 2012. 
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A systematic evaluation of 10 global satellite data products of the polar sea-ice area is performed. Inter-product differences in evaluation results call for careful consideration of data product limitations when performing sea-ice area trend analyses and for further mitigation of the effects of sensor changes. We open a discussion about evaluation strategies for such data products near-0 % and near-100 % sea-ice concentration, e.g. with the aim to improve high-concentration evaluation accuracy.
A systematic evaluation of 10 global satellite data products of the polar sea-ice area is...
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