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| Titel |
An upper-bound estimate for the accuracy of glacier volume–area scaling |
| VerfasserIn |
D. Farinotti, M. Huss |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1994-0416
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| Digitales Dokument |
URL |
| Erschienen |
In: The Cryosphere ; 7, no. 6 ; Nr. 7, no. 6 (2013-11-11), S.1707-1720 |
| Datensatznummer |
250085178
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| Publikation (Nr.) |
 copernicus.org/tc-7-1707-2013.pdf |
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| Zusammenfassung |
| 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. |
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