DOI: 10.5194/tc-12-1293-2018
Scopus记录号: 2-s2.0-85045524971
论文题名: Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)
作者: Senese A ; , Maugeri M ; , Meraldi E ; , Verza G ; P ; , Azzoni R ; S ; , Compostella C ; , Diolaiuti G
刊名: Cryosphere
ISSN: 19940416
出版年: 2018
卷: 12, 期: 4 起始页码: 1293
结束页码: 1306
语种: 英语
英文关键词: automation
; data
; density
; elevation
; methodology
; snow
; snow water equivalent
; weather station
; Forni Glacier
; Italy
; Lombardy
; Sondrio
英文摘要: We present and compare 11 years of snow data (snow depth and snow water equivalent, SWE) measured by an automatic weather station (AWS) and corroborated by data from field campaigns on the Forni Glacier in Italy. The aim of the analysis is to estimate the SWE of new snowfall and the annual SWE peak based on the average density of the new snow at the site (corresponding to the snowfall during the standard observation period of 24-h) and automated snow depth measurements. The results indicate that the daily SR50 sonic ranger measurements and the available snow pit data can be used to estimate the mean new snow density value at the site, with an error of ±6-kg-m-3. Once the new snow density is known, the sonic ranger makes it possible to derive SWE values with an RMSE of 45-mm water equivalent (if compared with snow pillow measurements), which turns out to be about 8-% of the total SWE yearly average. Therefore, the methodology we present is interesting for remote locations such as glaciers or high alpine regions, as it makes it possible to estimate the total SWE using a relatively inexpensive, low-power, low-maintenance, and reliable instrument such as the sonic ranger. © 2018 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75380
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 Environmental Science and Policy, Università degli Studi di Milano, Milan, Italy; ARPA Lombardia, Centro Nivometeorologico di Bormio, Bormio, Italy; Ev-K2-CNR-Pakistan, Italian K2 Museum Skardu Gilgit Baltistan, Islamabad, Pakistan; Department of Earth Sciences, Università degli Studi di Milano, Milan, Italy
Recommended Citation:
Senese A,, Maugeri M,, Meraldi E,et al. Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)[J]. Cryosphere,2018-01-01,12(4)