DOI: 10.5194/tc-7-1971-2013
Scopus记录号: 2-s2.0-84890936172
论文题名: Snow thickness retrieval over thick Arctic sea ice using SMOS satellite data
作者: Maaß N ; , Kaleschke L ; , Tian-Kunze X ; , Drusch M
刊名: Cryosphere
ISSN: 19940416
出版年: 2013
卷: 7, 期: 6 起始页码: 1971
结束页码: 1989
语种: 英语
英文关键词: brightness temperature
; cryosphere
; data set
; ice thickness
; insulation
; polarization
; satellite data
; sea ice
; SMOS
; snow cover
; Arctic Ocean
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/74910
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; European Space Agency, ESA-ESTEC, 2200 AG Noordwijk, Netherlands
Recommended Citation:
Maaß N,, Kaleschke L,, Tian-Kunze X,et al. Snow thickness retrieval over thick Arctic sea ice using SMOS satellite data[J]. Cryosphere,2013-01-01,7(6)