Spatio-temporal variations in seasonal ice tongue submarine melt rate at a tidewater glacier in southwest Greenland
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Submarine melting of tidewater glaciers is proposed as a trigger for their recent thinning, acceleration and retreat. We estimate spring submarine melt rates (SMRs) of Kangiata Nunaata Sermia in southwest Greenland, from 2012 to 2014, by examining changes in along-fjord freeboard and velocity of the seasonal floating ice tongue. Estimated SMRs vary spatially and temporally near the grounding line, with mean rates of 1.3 ± 0.6, 0.8 ± 0.3 and 1.0 ± 0.4 m d−1 across the tongue in 2012, 2013 and 2014, respectively. Higher melt rates correspond with locations of emerging subglacial plumes and terminus calving activity observed during the melt season using time-lapse camera imagery. Modelling of subglacial flow paths suggests a dynamic system capable of rapid re-routing of subglacial discharge both within and between melt seasons. Our results provide an empirically-derived link between the presence of subglacial discharge plumes and areas of high spring submarine melting and calving along glacier termini.
Moyer , A N , Nienow , P W , Gourmelen , N , Sole , A J , Slater , D A , Truffer , M & Fahnestock , M 2019 , ' Spatio-temporal variations in seasonal ice tongue submarine melt rate at a tidewater glacier in southwest Greenland ' , Journal of Glaciology , vol. 65 , no. 252 , pp. 523-530 . https://doi.org/10.1017/jog.2019.27
Journal of Glaciology
Copyright © The Author(s) 2019. 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.
DescriptionANM is supported by a University of Edinburgh Principal’s Career Development PhD Scholarship. We acknowledge NERC grants NE/K015249/1 (to PWN) and NE/K014609/1 (to AJS) and DLR projects XTI_GLAC0296 and LAN1534 (to NG). Time-lapse imagery was acquired under NSF grant PLR-0909552 (to MT and MF). PROMICE and DMI data are available at http://www.promice.dk and http://www.dmi.dk, respectively. ArcticDEM was created from DigitalGlobe Inc. imagery, funded under NSF awards 1043681, 1559691, and 1542736.
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