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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 3
The Cryosphere, 12, 921-933, 2018
https://doi.org/10.5194/tc-12-921-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 12, 921-933, 2018
https://doi.org/10.5194/tc-12-921-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 14 Mar 2018

Research article | 14 Mar 2018

Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models

Friedrich Richter et al.
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Manuscript under review for GMD
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Berger, M., Camps, A., Font, J., Kerr, Y., Miller, J., Johannessen, J., Boutin, J., Drinkwater, M. R., Skou, N., Floury, N., Rast, M., Rebhan, H., and Attema, E.: Measuring ocean salinity with ESA's SMOS mission – Advancing the science, Esa Bulletin-European Space Agency, 113–121, 2002.
Bouillon, S., Morales Maqueda, M. A., Legat, V., and Fichefet, T.: An elastic-viscous-plastic sea ice model formulated on Arakawa B and C grids, Ocean Modell., 27, 174–184, https://doi.org/10.1016/j.ocemod.2009.01.004, 2009.
Burke, W. J., Schmugge, T., and Paris, J. F.: Comparison of 2.8- and 21-cm microwave radiometer observations over soils with emission model calculations, J. Geophys. Res., 84, 287–294, https://doi.org/10.1029/JC084iC01p00287, 1979.
Chen, Z., Liu, J., Song, M., Yang, Q., and Xu, S.: Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System, J. Climate, 30, 8429–8446, https://doi.org/10.1175/JCLI-D-17-0093.1, 2017.
Day, J., Hawkins, E., and Tietsche, S.: Will Arctic sea ice thickness initialization improve seasonal forecast skill?, Geophys. Res. Lett., 41, 7566–7575, https://doi.org/10.1002/2014GL061694, 2014.
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Short summary
L-band (1.4 GHz) brightness temperatures from ESA's Soil Moisture and Ocean Salinity SMOS mission have been used to derive thin sea ice thickness. However, the brightness temperature measurements can potentially be assimilated directly in forecasting systems reducing the data latency and providing a more consistent first guess. We studied the forward (observation) operator that translates geophysical sea ice parameters from the ECMWF Ocean ReAnalysis Pilot 5 (ORAP5) into brightness temperatures.
L-band (1.4 GHz) brightness temperatures from ESA's Soil Moisture and Ocean Salinity SMOS...
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