Articles | Volume 11, issue 4
The Cryosphere, 11, 1987–2002, 2017
https://doi.org/10.5194/tc-11-1987-2017
The Cryosphere, 11, 1987–2002, 2017
https://doi.org/10.5194/tc-11-1987-2017
Research article
30 Aug 2017
Research article | 30 Aug 2017

New methodology to estimate Arctic sea ice concentration from SMOS combining brightness temperature differences in a maximum-likelihood estimator

Carolina Gabarro et al.

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Latest update: 08 Aug 2022
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Short summary
We present a new method to estimate sea ice concentration in the Arctic Ocean using different brightness temperature observations from the Soil Moisture Ocean Salinity (SMOS) satellite. The method employs a maximum-likelihood estimator. Observations at L-band frequencies such as those from SMOS (i.e. 1.4 GHz) are advantageous to remote sensing of sea ice because the atmosphere is virtually transparent at that frequency and little affected by physical temperature changes.