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 peak...

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Published in:The Cryosphere
Main Authors: Senese, Antonella, Maugeri, Maurizio, Meraldi, Eraldo, Verza, Gian Pietro, Azzoni, Roberto Sergio, Compostella, Chiara, Diolaiuti, Guglielmina
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2018
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Online Access:https://doi.org/10.5194/tc-12-1293-2018
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00006822 2023-05-15T18:32:32+02:00 Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy) Senese, Antonella Maugeri, Maurizio Meraldi, Eraldo Verza, Gian Pietro Azzoni, Roberto Sergio Compostella, Chiara Diolaiuti, Guglielmina 2018-04 electronic https://doi.org/10.5194/tc-12-1293-2018 https://noa.gwlb.de/receive/cop_mods_00006822 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006779/tc-12-1293-2018.pdf https://tc.copernicus.org/articles/12/1293/2018/tc-12-1293-2018.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-12-1293-2018 https://noa.gwlb.de/receive/cop_mods_00006822 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006779/tc-12-1293-2018.pdf https://tc.copernicus.org/articles/12/1293/2018/tc-12-1293-2018.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2018 ftnonlinearchiv https://doi.org/10.5194/tc-12-1293-2018 2022-02-08T22:58:50Z 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. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 12 4 1293 1306
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Senese, Antonella
Maugeri, Maurizio
Meraldi, Eraldo
Verza, Gian Pietro
Azzoni, Roberto Sergio
Compostella, Chiara
Diolaiuti, Guglielmina
Estimating the snow water equivalent on a glacierized high elevation site (Forni Glacier, Italy)
topic_facet article
Verlagsveröffentlichung
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−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.
format Article in Journal/Newspaper
author Senese, Antonella
Maugeri, Maurizio
Meraldi, Eraldo
Verza, Gian Pietro
Azzoni, Roberto Sergio
Compostella, Chiara
Diolaiuti, Guglielmina
author_facet Senese, Antonella
Maugeri, Maurizio
Meraldi, Eraldo
Verza, Gian Pietro
Azzoni, Roberto Sergio
Compostella, Chiara
Diolaiuti, Guglielmina
author_sort Senese, Antonella
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
publishDate 2018
url https://doi.org/10.5194/tc-12-1293-2018
https://noa.gwlb.de/receive/cop_mods_00006822
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006779/tc-12-1293-2018.pdf
https://tc.copernicus.org/articles/12/1293/2018/tc-12-1293-2018.pdf
genre The Cryosphere
genre_facet The Cryosphere
op_relation The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424
https://doi.org/10.5194/tc-12-1293-2018
https://noa.gwlb.de/receive/cop_mods_00006822
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006779/tc-12-1293-2018.pdf
https://tc.copernicus.org/articles/12/1293/2018/tc-12-1293-2018.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
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op_rightsnorm CC-BY
op_doi https://doi.org/10.5194/tc-12-1293-2018
container_title The Cryosphere
container_volume 12
container_issue 4
container_start_page 1293
op_container_end_page 1306
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