DOI: 10.5194/tc-11-1091-2017
Scopus记录号: 2-s2.0-85019030786
论文题名: In situ continuous visible and near-infrared spectroscopy of an alpine snowpack
作者: Dumont M ; , Arnaud L ; , Picard G ; , Libois Q ; , Lejeune Y ; , Nabat P ; , Voisin D ; , Morin S
刊名: Cryosphere
ISSN: 19940416
出版年: 2017
卷: 11, 期: 3 起始页码: 1091
结束页码: 1110
语种: 英语
英文关键词: accuracy assessment
; albedo
; alpine environment
; in situ measurement
; infrared spectroscopy
; near infrared
; snow cover
; snowmelt
; snowpack
; spectral analysis
; surface area
; temporal evolution
; time series
; visible spectrum
; winter
; Alps
; France
英文摘要: Snow spectral albedo in the visible/near-infrared range has been continuously measured during a winter season at Col de Porte alpine site (French Alps; 45.30° N, 5.77° E; 1325ma.s.l.). The evolution of such alpine snowpack is complex due to intensive precipitation, rapid melt events and Saharan dust deposition outbreaks. This study highlights that the resulting intricate variations of spectral albedo can be successfully explained by variations of the following snow surface variables: specific surface area (SSA) of snow, effective light-absorbing impurities content, presence of liquid water and slope. The methodology developed in this study disentangles the effect of these variables on snow spectral albedo. The presence of liquid water at the snow surface results in a spectral shift of the albedo from which melt events can be identified with an occurrence of false detection rate lower than 3.5 %. Snow SSA mostly impacts spectral albedo in the near-infrared range. Impurity deposition mostly impacts the albedo in the visible range but this impact is very dependent on snow SSA and surface slope. Our work thus demonstrates that the SSA estimation from spectral albedo is affected by large uncertainties for a tilted snow surface and medium to high impurity contents and that the estimation of impurity content is also affected by large uncertainties, especially for low values below 50 ng g-1 black carbon equivalent. The proposed methodology opens routes for retrieval of SSA, impurity content, melt events and surface slope from spectral albedo. However, an exhaustive accuracy assessment of the snow black properties retrieval would require more independent in situ measurements and is beyond the scope of the present study. This time series of snow spectral albedo nevertheless already provides a new insight into our understanding of the evolution of snow surface properties. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75558
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: CNRM UMR 3589, Météo-France/CNRS, Centre d'Études de la Neige, Grenoble, France; UGA/CNRS, Laboratoire de Glaciologie et Géophysique de l'Environnement (LGGE), UMR 5183, Grenoble, France; CNRM UMR 3589, Météo-France/CNRS, Toulouse, France; Department of Earth and Atmospheric Sciences, Université du Québec À Montréal (UQAM), Montréal, Canada
Recommended Citation:
Dumont M,, Arnaud L,, Picard G,et al. In situ continuous visible and near-infrared spectroscopy of an alpine snowpack[J]. Cryosphere,2017-01-01,11(3)