DOI: 10.5194/tc-7-433-2013
Scopus记录号: 2-s2.0-84999038877
论文题名: Investigating the dynamics of bulk snow density in dry and wet conditions using a one-dimensional model
作者: De Michele C ; , Avanzi F ; , Ghezzi A ; , Jommi C
刊名: Cryosphere
ISSN: 19940416
出版年: 2013
卷: 7, 期: 2 起始页码: 433
结束页码: 444
语种: 英语
英文摘要: The snowpack is a complicated multiphase mixture with mechanical, hydraulic, and thermal properties highly variable during the year in response to climatic forcings. Bulk density is a macroscopic property of the snowpack used, together with snow depth, to quantify the water stored. In seasonal snowpacks, the bulk density is characterized by a strongly non-linear behaviour due to the occurrence of both dry and wet conditions. In the literature, bulk snow density estimates are obtained principally with multiple regressions, and snowpack models have put the attention principally on the snow depth and snow water equivalent. Here a one-dimensional model for the temporal dynamics of the snowpack, with particular attention to the bulk snow density, has been proposed, accounting for both dry and wet conditions. The model represents the snowpack as a two-constituent mixture: a dry part including ice structure, and air; and a wet part constituted by liquid water. It describes the dynamics of three variables: the depth and density of the dry part and the depth of liquid water. The model has been calibrated and validated against hourly data registered at three SNOTEL stations, western US, with mean values of the Nash-Sutcliffe coefficient ≈ 0.73-0.97 in the validation period. © Author(s) 2013. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75014
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: Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy; Department of Geoscience and Engineering, Delft University of Technology, Delft, Netherlands
Recommended Citation:
De Michele C,, Avanzi F,, Ghezzi A,et al. Investigating the dynamics of bulk snow density in dry and wet conditions using a one-dimensional model[J]. Cryosphere,2013-01-01,7(2)