DOI: 10.5194/tc-14-1829-2020
论文题名: The RHOSSA campaign: Multi-resolution monitoring of the seasonal evolution of the structure and mechanical stability of an alpine snowpack
作者: Calonne N. ; Richter B. ; Löwe H. ; Cetti C. ; Ter Schure J. ; Van Herwijnen A. ; Fierz C. ; Jaggi M. ; Schneebeli M.
刊名: Cryosphere
ISSN: 19940416
出版年: 2020
卷: 14, 期: 6 起始页码: 1829
结束页码: 1848
语种: 英语
英文关键词: avalanche
; compression
; crack
; data set
; model validation
; prediction
; snowpack
; surface area
; temporal analysis
; tomography
; winter
; Alps
; Graubunden
; Switzerland
; Weissfluhjoch
英文摘要: The necessity of characterizing snow through objective, physically motivated parameters has led to new model formulations and new measurement techniques. Consequently, essential structural parameters such as density and specific surface area (for basic characterization) or mechanical parameters such as the critical crack length (for avalanche stability characterization) gradually replace the semiempirical indices acquired from traditional stratigraphy. These advances come along with new demands and potentials for validation. To this end, we conducted the RHOSSA field campaign, in reference to density (span classCombining double low line"inline-formula"iρ/i/span) and specific surface area (SSA), at the Weissfluhjoch research site in the Swiss Alps to provide a multi-instrument, multi-resolution dataset of density, SSA and critical crack length over the complete winter season of 2015-2016. In this paper, we present the design of the campaign and a basic analysis of the measurements alongside predictions from the model SNOWPACK. To bridge between traditional and new methods, the campaign comprises traditional profiles, density cutter, IceCube, SnowMicroPen (SMP), micro-computed-tomography, propagation saw tests and compression tests. To bridge between different temporal resolutions, the traditional weekly to biweekly (every 2 weeks, used in this sense throughout the paper) snow pits were complemented by daily SMP measurements. From the latter, we derived a recalibration of the statistical retrieval of density and SSA for SMP version 4 that yields an unprecedented spatiotemporal picture of the seasonal evolution of density and SSA in a snowpack. Finally, we provide an intercomparison of measured and modeled estimates of density and SSA for four characteristic layers over the entire season to demonstrate the potential of high-temporal-resolution monitoring for snowpack model validation. © Author(s) 2020. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164418
Appears in Collections: 气候变化与战略
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作者单位: WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland; CNRS, CNRM UMR 3589, Centre d'Etudes de la Neige, Grenoble, France
Recommended Citation:
Calonne N.,Richter B.,Löwe H.,et al. The RHOSSA campaign: Multi-resolution monitoring of the seasonal evolution of the structure and mechanical stability of an alpine snowpack[J]. Cryosphere,2020-01-01,14(6)