Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)

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 p...

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Main Authors: A. Senese, M. Maugeri, E. Meraldi, G. P. Verza, R. S. Azzoni, C. Compostella, G. Diolaiuti
Format: Article
Language:English
Published: Copernicus Publications 2018-04-01
Series:The Cryosphere
Online Access:https://www.the-cryosphere.net/12/1293/2018/tc-12-1293-2018.pdf
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spelling doaj-8e724392e78d46049c9a0d66d88289a72020-11-24T21:06:10ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242018-04-01121293130610.5194/tc-12-1293-2018Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)A. Senese0M. Maugeri1E. Meraldi2G. P. Verza3R. S. Azzoni4C. Compostella5G. Diolaiuti6Department of Environmental Science and Policy, Università degli Studi di Milano, Milan, ItalyDepartment of Environmental Science and Policy, Università degli Studi di Milano, Milan, ItalyARPA Lombardia, Centro Nivometeorologico di Bormio, Bormio, ItalyEv-K2-CNR – Pakistan, Italian K2 Museum Skardu Gilgit Baltistan, Islamabad, PakistanDepartment of Environmental Science and Policy, Università degli Studi di Milano, Milan, ItalyDepartment of Earth Sciences, Università degli Studi di Milano, Milan, ItalyDepartment of Environmental Science and Policy, Università degli Studi di Milano, Milan, ItalyWe 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<sup>−3</sup>. 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.https://www.the-cryosphere.net/12/1293/2018/tc-12-1293-2018.pdf
collection DOAJ
language English
format Article
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author A. Senese
M. Maugeri
E. Meraldi
G. P. Verza
R. S. Azzoni
C. Compostella
G. Diolaiuti
spellingShingle A. Senese
M. Maugeri
E. Meraldi
G. P. Verza
R. S. Azzoni
C. Compostella
G. Diolaiuti
Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)
The Cryosphere
author_facet A. Senese
M. Maugeri
E. Meraldi
G. P. Verza
R. S. Azzoni
C. Compostella
G. Diolaiuti
author_sort A. Senese
title Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)
title_short Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)
title_full Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)
title_fullStr Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)
title_full_unstemmed Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)
title_sort estimating the snow water equivalent on a glacierized high elevation site (forni glacier, italy)
publisher Copernicus Publications
series The Cryosphere
issn 1994-0416
1994-0424
publishDate 2018-04-01
description 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<sup>−3</sup>. 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.
url https://www.the-cryosphere.net/12/1293/2018/tc-12-1293-2018.pdf
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