globalchange  > 影响、适应和脆弱性
DOI: 10.5194/tc-10-2113-2016
Scopus记录号: 2-s2.0-84988474325
论文题名:
Retrieving the characteristics of slab ice covering snow by remote sensing
作者: Andrieu F; , Schmidt F; , Schmitt B; , Douté S; , Brissaud O
刊名: Cryosphere
ISSN: 19940416
出版年: 2016
卷: 10, 期:5
起始页码: 2113
结束页码: 2128
语种: 英语
英文关键词: air-ice interaction ; ice cover ; ice thickness ; innovation ; numerical model ; radiative transfer ; remote sensing ; satellite data ; signal-to-noise ratio ; slab ; snow cover ; surface roughness
英文摘要: We present an effort to validate a previously developed radiative transfer model, and an innovative Bayesian inversion method designed to retrieve the properties of slab-ice-covered surfaces. This retrieval method is adapted to satellite data, and is able to provide uncertainties on the results of the inversions. We focused on surfaces composed of a pure slab of water ice covering an optically thick layer of snow in this study. We sought to retrieve the roughness of the ice-air interface, the thickness of the slab layer and the mean grain diameter of the underlying snow. Numerical validations have been conducted on the method, and showed that if the thickness of the slab layer is above 5ĝ€mm and the noise on the signal is above 3ĝ€%, then it is not possible to invert the grain diameter of the snow. In contrast, the roughness and the thickness of the slab can be determined, even with high levels of noise up to 20ĝ€%. Experimental validations have been conducted on spectra collected from laboratory samples of water ice on snow using a spectro-radiogoniometer. The results are in agreement with the numerical validations, and show that a grain diameter can be correctly retrieved for low slab thicknesses, but not for bigger ones, and that the roughness and thickness are correctly inverted in every case. © Author(s) 2016.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75078
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: GEOPS, Univ. Paris-Sud, CNRS, Université Paris-Saclay, Rue du Belvédère, Bât. 504-509, Orsay, France; Univ. Grenoble Alpes, IPAG, Grenoble, France; CNRS, IPAG, Grenoble, France

Recommended Citation:
Andrieu F,, Schmidt F,, Schmitt B,et al. Retrieving the characteristics of slab ice covering snow by remote sensing[J]. Cryosphere,2016-01-01,10(5)
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