An upper-bound estimate for the accuracy of glacier volume-area scaling
Volume–area scaling is the most popular method for estimating the ice volume of large glacier samples. Here, a series of resampling experiments based on different sets of synthetic data is presented in order to derive an upper-bound estimate (i.e. a level achieved only within ideal conditions) for i...
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ftethz:oai:www.research-collection.ethz.ch:20.500.11850/75086 2023-08-20T04:10:08+02:00 An upper-bound estimate for the accuracy of glacier volume-area scaling Farinotti, Daniel id_orcid:0 000-0003-3417-4570 Huss, Matthias id_orcid:0 000-0002-2377-6923 2013 application/application/pdf https://hdl.handle.net/20.500.11850/75086 https://doi.org/10.3929/ethz-b-000075086 en eng Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-7-1707-2013 info:eu-repo/semantics/altIdentifier/wos/000328546300004 http://hdl.handle.net/20.500.11850/75086 doi:10.3929/ethz-b-000075086 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ Creative Commons Attribution 3.0 Unported The Cryosphere, 7 (6) info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2013 ftethz https://doi.org/20.500.11850/7508610.3929/ethz-b-00007508610.5194/tc-7-1707-2013 2023-07-30T23:50:21Z Volume–area scaling is the most popular method for estimating the ice volume of large glacier samples. Here, a series of resampling experiments based on different sets of synthetic data is presented in order to derive an upper-bound estimate (i.e. a level achieved only within ideal conditions) for its accuracy. For real-world applications, a lower accuracy has to be expected. We also quantify the maximum accuracy expected when scaling is used for determining the glacier volume change, and area change of a given glacier population. A comprehensive set of measured glacier areas, volumes, area and volume changes is evaluated to investigate the impact of real-world data quality on the so-assessed accuracies. For populations larger than a few thousand glaciers, the total ice volume can be recovered within 30% if all data currently available worldwide are used for estimating the scaling parameters. Assuming no systematic bias in ice volume measurements, their uncertainty is of secondary importance. Knowing the individual areas of a glacier sample for two points in time allows recovering the corresponding ice volume change within 40% for populations larger than a few hundred glaciers, both for steady-state and transient geometries. If ice volume changes can be estimated without bias, glacier area changes derived from volume–area scaling show similar uncertainties to those of the volume changes. This paper does not aim at making a final judgement on the suitability of volume–area scaling as such, but provides the means for assessing the accuracy expected from its application. ISSN:1994-0416 ISSN:1994-0424 Article in Journal/Newspaper The Cryosphere ETH Zürich Research Collection |
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Open Polar |
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ETH Zürich Research Collection |
op_collection_id |
ftethz |
language |
English |
description |
Volume–area scaling is the most popular method for estimating the ice volume of large glacier samples. Here, a series of resampling experiments based on different sets of synthetic data is presented in order to derive an upper-bound estimate (i.e. a level achieved only within ideal conditions) for its accuracy. For real-world applications, a lower accuracy has to be expected. We also quantify the maximum accuracy expected when scaling is used for determining the glacier volume change, and area change of a given glacier population. A comprehensive set of measured glacier areas, volumes, area and volume changes is evaluated to investigate the impact of real-world data quality on the so-assessed accuracies. For populations larger than a few thousand glaciers, the total ice volume can be recovered within 30% if all data currently available worldwide are used for estimating the scaling parameters. Assuming no systematic bias in ice volume measurements, their uncertainty is of secondary importance. Knowing the individual areas of a glacier sample for two points in time allows recovering the corresponding ice volume change within 40% for populations larger than a few hundred glaciers, both for steady-state and transient geometries. If ice volume changes can be estimated without bias, glacier area changes derived from volume–area scaling show similar uncertainties to those of the volume changes. This paper does not aim at making a final judgement on the suitability of volume–area scaling as such, but provides the means for assessing the accuracy expected from its application. ISSN:1994-0416 ISSN:1994-0424 |
format |
Article in Journal/Newspaper |
author |
Farinotti, Daniel id_orcid:0 000-0003-3417-4570 Huss, Matthias id_orcid:0 000-0002-2377-6923 |
spellingShingle |
Farinotti, Daniel id_orcid:0 000-0003-3417-4570 Huss, Matthias id_orcid:0 000-0002-2377-6923 An upper-bound estimate for the accuracy of glacier volume-area scaling |
author_facet |
Farinotti, Daniel id_orcid:0 000-0003-3417-4570 Huss, Matthias id_orcid:0 000-0002-2377-6923 |
author_sort |
Farinotti, Daniel |
title |
An upper-bound estimate for the accuracy of glacier volume-area scaling |
title_short |
An upper-bound estimate for the accuracy of glacier volume-area scaling |
title_full |
An upper-bound estimate for the accuracy of glacier volume-area scaling |
title_fullStr |
An upper-bound estimate for the accuracy of glacier volume-area scaling |
title_full_unstemmed |
An upper-bound estimate for the accuracy of glacier volume-area scaling |
title_sort |
upper-bound estimate for the accuracy of glacier volume-area scaling |
publisher |
Copernicus |
publishDate |
2013 |
url |
https://hdl.handle.net/20.500.11850/75086 https://doi.org/10.3929/ethz-b-000075086 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
The Cryosphere, 7 (6) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-7-1707-2013 info:eu-repo/semantics/altIdentifier/wos/000328546300004 http://hdl.handle.net/20.500.11850/75086 doi:10.3929/ethz-b-000075086 |
op_rights |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ Creative Commons Attribution 3.0 Unported |
op_doi |
https://doi.org/20.500.11850/7508610.3929/ethz-b-00007508610.5194/tc-7-1707-2013 |
_version_ |
1774724103348944896 |