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| Titel |
SMOS-derived thin sea ice thickness: algorithm baseline, product specifications and initial verification |
| VerfasserIn |
X. Tian-Kunze, L. Kaleschke, N. Maaß, M. Mäkynen, N. Serra, M. Drusch, T. Krumpen |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1994-0416
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| Digitales Dokument |
URL |
| Erschienen |
In: The Cryosphere ; 8, no. 3 ; Nr. 8, no. 3 (2014-05-27), S.997-1018 |
| Datensatznummer |
250116162
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| Publikation (Nr.) |
 copernicus.org/tc-8-997-2014.pdf |
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| Zusammenfassung |
| Following the launch of ESA's Soil Moisture and Ocean Salinity (SMOS)
mission, it has been shown that brightness temperatures at a low microwave
frequency of 1.4 GHz (L-band) are sensitive to sea ice properties. In
the first demonstration study, sea ice thickness up to 50 cm has been
derived using a semi-empirical algorithm with constant tie-points. Here, we
introduce a novel iterative retrieval algorithm that is based on a
thermodynamic sea ice model and a three-layer radiative transfer model, which
explicitly takes variations of ice temperature and ice salinity into account.
In addition, ice thickness variations within the SMOS spatial resolution are
considered through a statistical thickness distribution function derived from
high-resolution ice thickness measurements from NASA's Operation IceBridge
campaign. This new algorithm has been used for the continuous operational
production of a SMOS-based sea ice thickness data set from 2010 on. The data
set is compared to and validated with estimates from assimilation systems,
remote sensing data, and airborne electromagnetic sounding data. The
comparisons show that the new retrieval algorithm has a considerably better
agreement with the validation data and delivers a more realistic Arctic-wide
ice thickness distribution than the algorithm used in the previous study
(Kaleschke et al., 2012). |
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