Estimating the volume of Alpine glacial lakes

Supraglacial, moraine-dammed and ice-dammed lakes represent a potential glacial lake outburst flood (GLOF) threat to downstream communities in many mountain regions. This has motivated the development of empirical relationships to predict lake volume given a measurement of lake surface area obtained...

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Main Authors: S. J. Cook, D. J. Quincey
Format: Article
Language:English
Published: Copernicus Publications 2015-12-01
Series:Earth Surface Dynamics
Online Access:http://www.earth-surf-dynam.net/3/559/2015/esurf-3-559-2015.pdf
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spelling doaj-eeeca6ecc3724718b8325f75ff8352102020-11-24T23:26:41ZengCopernicus PublicationsEarth Surface Dynamics2196-63112196-632X2015-12-013455957510.5194/esurf-3-559-2015Estimating the volume of Alpine glacial lakesS. J. Cook0D. J. Quincey1School of Science and the Environment, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UKSchool of Geography, University of Leeds, Leeds, LS2 9JT, UKSupraglacial, moraine-dammed and ice-dammed lakes represent a potential glacial lake outburst flood (GLOF) threat to downstream communities in many mountain regions. This has motivated the development of empirical relationships to predict lake volume given a measurement of lake surface area obtained from satellite imagery. Such relationships are based on the notion that lake depth, area and volume scale predictably. We critically evaluate the performance of these existing empirical relationships by examining a global database of glacial lake depths, areas and volumes. Results show that lake area and depth are not always well correlated (<i>r</i><sup>2</sup> = 0.38) and that although lake volume and area are well correlated (<i>r</i><sup>2</sup> = 0.91), and indeed are auto-correlated, there are distinct outliers in the data set. These outliers represent situations where it may not be appropriate to apply existing empirical relationships to predict lake volume and include growing supraglacial lakes, glaciers that recede into basins with complex overdeepened morphologies or that have been deepened by intense erosion and lakes formed where glaciers advance across and block a main trunk valley. We use the compiled data set to develop a conceptual model of how the volumes of supraglacial ponds and lakes, moraine-dammed lakes and ice-dammed lakes should be expected to evolve with increasing area. Although a large amount of bathymetric data exist for moraine-dammed and ice-dammed lakes, we suggest that further measurements of growing supraglacial ponds and lakes are needed to better understand their development.http://www.earth-surf-dynam.net/3/559/2015/esurf-3-559-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. J. Cook
D. J. Quincey
spellingShingle S. J. Cook
D. J. Quincey
Estimating the volume of Alpine glacial lakes
Earth Surface Dynamics
author_facet S. J. Cook
D. J. Quincey
author_sort S. J. Cook
title Estimating the volume of Alpine glacial lakes
title_short Estimating the volume of Alpine glacial lakes
title_full Estimating the volume of Alpine glacial lakes
title_fullStr Estimating the volume of Alpine glacial lakes
title_full_unstemmed Estimating the volume of Alpine glacial lakes
title_sort estimating the volume of alpine glacial lakes
publisher Copernicus Publications
series Earth Surface Dynamics
issn 2196-6311
2196-632X
publishDate 2015-12-01
description Supraglacial, moraine-dammed and ice-dammed lakes represent a potential glacial lake outburst flood (GLOF) threat to downstream communities in many mountain regions. This has motivated the development of empirical relationships to predict lake volume given a measurement of lake surface area obtained from satellite imagery. Such relationships are based on the notion that lake depth, area and volume scale predictably. We critically evaluate the performance of these existing empirical relationships by examining a global database of glacial lake depths, areas and volumes. Results show that lake area and depth are not always well correlated (<i>r</i><sup>2</sup> = 0.38) and that although lake volume and area are well correlated (<i>r</i><sup>2</sup> = 0.91), and indeed are auto-correlated, there are distinct outliers in the data set. These outliers represent situations where it may not be appropriate to apply existing empirical relationships to predict lake volume and include growing supraglacial lakes, glaciers that recede into basins with complex overdeepened morphologies or that have been deepened by intense erosion and lakes formed where glaciers advance across and block a main trunk valley. We use the compiled data set to develop a conceptual model of how the volumes of supraglacial ponds and lakes, moraine-dammed lakes and ice-dammed lakes should be expected to evolve with increasing area. Although a large amount of bathymetric data exist for moraine-dammed and ice-dammed lakes, we suggest that further measurements of growing supraglacial ponds and lakes are needed to better understand their development.
url http://www.earth-surf-dynam.net/3/559/2015/esurf-3-559-2015.pdf
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