气候变化领域集成服务门户(CCPortal): Snow thickness retrieval over thick Arctic sea ice using SMOS satellite data

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DOI	10.5194/tc-7-1971-2013
	Snow thickness retrieval over thick Arctic sea ice using SMOS satellite data
	Maaß N.; Kaleschke L.; Tian-Kunze X.; Drusch M.
发表日期	2013
ISSN	19940416
卷号	7 期号:6
英文摘要	The microwave interferometric radiometer of the European Space Agency's Soil Moisture and Ocean Salinity (SMOS) mission measures at a frequency of 1.4 GHz in the L-band. In contrast to other microwave satellites, low frequency measurements in L-band have a large penetration depth in sea ice and thus contain information on the ice thickness. Previous ice thickness retrievals have neglected a snow layer on top of the ice. Here, we implement a snow layer in our emission model and investigate how snow influences L-band brightness temperatures and whether it is possible to retrieve snow thickness over thick Arctic sea ice from SMOS data. We find that the brightness temperatures above snow-covered sea ice are higher than above bare sea ice and that horizontal polarisation is more affected by the snow layer than vertical polarisation. In accordance with our theoretical investigations, the root mean square deviation between simulated and observed horizontally polarised brightness temperatures decreases from 20.9 K to 4.7 K, when we include the snow layer in the simulations. Although dry snow is almost transparent in L-band, we find brightness temperatures to increase with increasing snow thickness under cold Arctic conditions. The brightness temperatures' dependence on snow thickness can be explained by the thermal insulation of snow and its dependence on the snow layer thickness. This temperature effect allows us to retrieve snow thickness over thick sea ice. For the best simulation scenario and snow thicknesses up to 35 cm, the average snow thickness retrieved from horizontally polarised SMOS brightness temperatures agrees within 0.1 cm with the average snow thickness measured during the IceBridge flight campaign in the Arctic in spring 2012. The corresponding root mean square deviation is 5.5 cm, and the coefficient of determination is r2 Combining double low line 0.58. © Author(s) 2013.
学科领域	brightness temperature; cryosphere; data set; ice thickness; insulation; polarization; satellite data; sea ice; SMOS; snow cover; Arctic Ocean
语种	英语
scopus关键词	brightness temperature; cryosphere; data set; ice thickness; insulation; polarization; satellite data; sea ice; SMOS; snow cover; Arctic Ocean
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/120220
作者单位	Institute of Oceanography, University of Hamburg, Bundesstraße 53, 20146 Hamburg, Germany; European Space Agency, ESA-ESTEC, 2200 AG Noordwijk, Netherlands
推荐引用方式 GB/T 7714	Maaß N.,Kaleschke L.,Tian-Kunze X.,et al. Snow thickness retrieval over thick Arctic sea ice using SMOS satellite data[J],2013,7(6).
APA	Maaß N.,Kaleschke L.,Tian-Kunze X.,&Drusch M..(2013).Snow thickness retrieval over thick Arctic sea ice using SMOS satellite data.Cryosphere,7(6).
MLA	Maaß N.,et al."Snow thickness retrieval over thick Arctic sea ice using SMOS satellite data".Cryosphere 7.6(2013).