气候变化领域集成服务门户(CCPortal): SMOS-derived thin sea ice thickness: Algorithm baseline, product specifications and initial verification

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DOI	10.5194/tc-8-997-2014
	SMOS-derived thin sea ice thickness: Algorithm baseline, product specifications and initial verification
	Tian-Kunze X.; Kaleschke L.; Maaß N.; Mäkynen M.; Serra N.; Drusch M.; Krumpen T.
发表日期	2014
ISSN	19940416
卷号	8 期号:3
英文摘要	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). © Author(s) 2014.
学科领域	algorithm; data set; ice thickness; measurement method; remote sensing; sea ice; soil moisture; Arctic
语种	英语
scopus关键词	algorithm; data set; ice thickness; measurement method; remote sensing; sea ice; soil moisture; Arctic
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120104
作者单位	Institute of Oceanography, University of Hamburg, Bundesstraße 53, 20146 Hamburg, Germany; Finnish Meteorological Institute, Erik Palmenin aukio 1, 00560 Helsinki, Finland; European Space Agency, ESA, ESTEC, 2200 AG Noordwijk, Netherlands; Alfred Wegener Institute for Polar and Marine Research, Bussestraße 24, 27570 Bremerhaven, Germany
推荐引用方式 GB/T 7714	Tian-Kunze X.,Kaleschke L.,Maaß N.,et al. SMOS-derived thin sea ice thickness: Algorithm baseline, product specifications and initial verification[J],2014,8(3).
APA	Tian-Kunze X..,Kaleschke L..,Maaß N..,Mäkynen M..,Serra N..,...&Krumpen T..(2014).SMOS-derived thin sea ice thickness: Algorithm baseline, product specifications and initial verification.Cryosphere,8(3).
MLA	Tian-Kunze X.,et al."SMOS-derived thin sea ice thickness: Algorithm baseline, product specifications and initial verification".Cryosphere 8.3(2014).