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Mass and enthalpy budget evolution during the surge of a polythermal glacier: a test of theory

Published online by Cambridge University Press:  29 August 2019

Douglas I. Benn*
Affiliation:
School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
Robert L. Jones
Affiliation:
School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
Adrian Luckman
Affiliation:
Department of Geography, College of Science, Swansea University, Swansea, UK Department of Arctic Geophysics, The University Centre in Svalbard, Longyearbyen, Norway
Johannes J. Fürst
Affiliation:
Institute of Geography, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
Ian Hewitt
Affiliation:
Oxford Centre for Industrial and Applied Mathematics, University of Oxford, Oxford, UK
Christian Sommer
Affiliation:
Institute of Geography, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
*
Author for correspondence: Douglas I. Benn, E-mail: dib2@st-andrews.ac.uk
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Abstract

Analysis of a recent surge of Morsnevbreen, Svalbard, is used to test predictions of the enthalpy balance theory of surging. High-resolution time series of velocities, ice thickness and crevasse distribution allow key elements of the enthalpy (internal energy) budget to be quantified for different stages of the surge cycle. During quiescence (1936–1990), velocities were very low, and geothermal heat slowly built-up enthalpy at the bed. Measurable mass transfer and frictional heating began in 1990–2010, then positive frictional heating-velocity feedbacks caused gradual acceleration from 2010 to 2015. Rapid acceleration occurred in summer 2016, when extensive crevassing and positive air temperatures allowed significant surface to bed drainage. The surge front reached the terminus in October 2016, coincident with a drop in velocities. Ice plumes in the fjord are interpreted as discharge of large volumes of supercooled water from the bed. Surge termination was prolonged, however, indicating persistence of an inefficient drainage system. The observations closely match predictions of the theory, particularly build-up of enthalpy from geothermal and frictional heat, and surface meltwater, and the concomitant changes in ice-surface elevation and velocity. Additional characteristics of the surge reflect spatial processes not represented in the model, but can be explained with respect to enthalpy gradients.

Information

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Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
Copyright © The Author(s) 2019
Figure 0

Fig. 1. Simulated surge cycles using the lumped enthalpy balance model of Benn and others (2019), with (a–h) and without (i–p) input of surface water via crevasses. Panels e–h and m–p show detailed views of the surge phase (shaded regions in a–d and i–l). Variations in ice thickness H, basal enthalpy E and ice velocity u are normalised to reference values H0, E0 and u0. The enthalpy variable E is scaled such that negative values represent the ‘cold content’ of ice below the melting point, and positive values represent water storage at a temperate glacier bed. Panels d, h, l and p show the enthalpy balance components: inputs of surface water, geothermal heating, frictional heating, conductive cooling and water discharge from the bed (solid lines are sources, dotted lines are sinks).

Figure 1

Fig. 2. (a) Svalbard, showing location of Morsnevbreen and Longyearbyen weather station. (b) Morsnevbreen, with location of the centreline profile used for measurements and calculations. V indicates the location of the velocity time series shown in Figure 6.

Figure 2

Fig. 3. Vertical profiles of elevation change along the glacier centre line, 1936–1990; 1990–2010; 2010–2014 and 2014–2017.

Figure 3

Fig. 4. Annual rates of elevation change for 1990 to 2010, 2010 to 2014 and 2014 to 2017.

Figure 4

Fig. 5. Location of major crevasses and the surge front on selected dates. Lower right panel shows the advance of the surge front during 2013–2016. The y-axis shows distance down the flowline with an arbitrary origin.

Figure 5

Fig. 6. Time series of ice velocity, front position, temperature and precipitation. Ice velocity data are for 17.5493 E, 77.6398 N (marked ‘V’ in Fig. 2 and as a vertical line in Fig. 8b).

Figure 6

Fig. 7. Maps of time-averaged TerraSAR-X velocity data, showing the early evolution of the surge.

Figure 7

Fig. 8. Time-distance Hovmoller diagrams for (a) TerraSAR-X and (b) Sentinel velocity data along the glacier centre line. The vertical line in (b) indicates the position of the velocity time series shown in Figure 6.

Figure 8

Fig. 9. (a) Bed and ice surface profiles along the glacier centre line and (b) calculated driving stresses.

Figure 9

Fig. 10. Thinning of the glacier from 1990 to 2014, showing the 175 m thickness contour which delimits the area of potential bed freezing. The 2003 map was derived by extrapolation back from the 2010 image, using measured changes in ice thickness.

Figure 10

Fig. 11. Calculated ice discharge 1990–2010, showing total flux and ice creep components.

Figure 11

Fig. 12. Sliding velocities and enthalpy production rates 1990–2014.

Figure 12

Fig. 13. Sentinel-1 backscatter images showing the August–September ice plume. Waves are visible in the images of 13 and 25 September. The terminus of Morsnevbreen is labelled ‘M’.

Figure 13

Fig. 14. Sentinel-1 backscatter images showing the October–November ice plume. The sharp ice edge in the 30 November image suggests that the plume had transitioned into a rigid mass, and was breaking at its seaward edge.