DOI: 10.5194/tc-8-997-2014
Scopus记录号: 2-s2.0-84902286877
论文题名: SMOS-derived thin sea ice thickness: Algorithm baseline, product specifications and initial verification
作者: Tian-Kunze X ; , Kaleschke L ; , Maaß N ; , Mäkynen M ; , Serra N ; , Drusch M ; , Krumpen T
刊名: Cryosphere
ISSN: 19940416
出版年: 2014
卷: 8, 期: 3 起始页码: 997
结束页码: 1018
语种: 英语
英文关键词: algorithm
; data set
; ice thickness
; measurement method
; remote sensing
; sea ice
; soil moisture
; Arctic
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/74839
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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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
Recommended Citation:
Tian-Kunze X,, Kaleschke L,, Maaß N,et al. SMOS-derived thin sea ice thickness: Algorithm baseline, product specifications and initial verification[J]. Cryosphere,2014-01-01,8(3)