Articles | Volume 13, issue 2
https://doi.org/10.5194/tc-13-675-2019
https://doi.org/10.5194/tc-13-675-2019
Research article
 | 
28 Feb 2019
Research article |  | 28 Feb 2019

Combined SMAP–SMOS thin sea ice thickness retrieval

Cătălin Paţilea, Georg Heygster, Marcus Huntemann, and Gunnar Spreen

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Cited articles

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.-Oceans, 112, C08004, https://doi.org/10.1029/2006JC003543, 2007. a
Bilello, M. A.: Formation, growth, and decay of sea-ice in the Canadian Arctic Archipelago, Arctic, 14, 2–24, 1961. a, b
Corbella, I., Duffo, N., Vall-llossera, M., Camps, A., and Torres, F.: The visibility function in interferometric aperture synthesis radiometry, IEEE Trans. Geosci. Remote Sens., 42, 1677–1682, 2004. a
Corbella, I., Torres, F., Camps, A., Colliander, A., Martín-Neira, M., Ribo, S., Rautiainen, K., Duffo, N., and Vall-llossera, M.: MIRAS end-to-end calibration: application to SMOS L1 processor, IEEE Trans. Geosci. Remote Sens., 43, 1126–1134, 2005. a
Corbella, I., Durán, I., Wu, L., Torres, F., Duffo, N., Khazâal, A., and Martín-Neira, M.: Impact of Correlator Efficiency Errors on SMOS Land-Sea Contamination, IEEE Geosci. Remote Sens. Lett., 12, 1813–1817, 2015. a
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Short summary
Sea ice thickness is important for representing atmosphere–ocean interactions in climate models. A validated satellite sea ice thickness measurement algorithm is transferred to a new sensor. The results offer a better temporal and spatial coverage of satellite measurements in the polar regions. Here we describe the calibration procedure between the two sensors, taking into account their technical differences. In addition a new filter for interference from artificial radio sources is implemented.