Articles | Volume 8, issue 3
The Cryosphere, 8, 891–904, 2014
The Cryosphere, 8, 891–904, 2014
Research article
16 May 2014
Research article | 16 May 2014

The microwave emissivity variability of snow covered first-year sea ice from late winter to early summer: a model study

S. Willmes et al.

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Cited articles

Ackley, S. F., Lewis, M. J., Fritsen, C. H., and Hongjie, X.: Internal melting in Antarctic sea ice: Development of "gap layers", Geophys. Res. Lett., 35, L11502,, 2008.
Andersen, S., Tonboe, R., Kaleschke, L., Heygster, G., and Pedersen, L. T.: Intercomparison of passive micorwave sea ice concentration retrievals over the high-concentration Arctic sea ice, J. Geophys. Res., 112, C08004,, 2007.
Andreas, E. L., and Ackley, S. F.: On the differences in ablation seasons of Arctic and Antarctic sea ice, J. Atmos. Sci., 389, 440–447, 1982.
Andreas, E. L., Jordan, R. E., and Makshtas, A. P.: Simulations of Snow, Ice and Near-Surface Atmospheric Processes on Ice Station Weddell, J. Hydrometeorol., 5, 611–624, 2004.
Belchansky, G., Douglas, D. C., Mordvintsev, I., and Platonov, N.: Estimating the time of melt onset and freeze onset over Arctic sea ice area using active and passive microwave data, Remote Sens. Environ., 92, 21–39, 2004.