气候变化领域集成服务门户(CCPortal): In situ continuous visible and near-infrared spectroscopy of an alpine snowpack

CCPortal

DOI	10.5194/tc-11-1091-2017
	In situ continuous visible and near-infrared spectroscopy of an alpine snowpack
	Dumont M.; Arnaud L.; Picard G.; Libois Q.; Lejeune Y.; Nabat P.; Voisin D.; Morin S.
发表日期	2017
ISSN	19940416
卷号	11 期号:3
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.
学科领域	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
语种	英语
scopus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
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/119403
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, 38041, France; CNRM UMR 3589, Météo-France/CNRS, Toulouse, France; Department of Earth and Atmospheric Sciences, Université du Québec À Montréal (UQAM), Montréal, Canada
推荐引用方式 GB/T 7714	Dumont M.,Arnaud L.,Picard G.,et al. In situ continuous visible and near-infrared spectroscopy of an alpine snowpack[J],2017,11(3).
APA	Dumont M..,Arnaud L..,Picard G..,Libois Q..,Lejeune Y..,...&Morin S..(2017).In situ continuous visible and near-infrared spectroscopy of an alpine snowpack.Cryosphere,11(3).
MLA	Dumont M.,et al."In situ continuous visible and near-infrared spectroscopy of an alpine snowpack".Cryosphere 11.3(2017).