2020
DOI: 10.5194/tc-14-2313-2020
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Lateral meltwater transfer across an Antarctic ice shelf

Abstract: Abstract. Surface meltwater on ice shelves can exist as slush, it can pond in lakes or crevasses, or it can flow in surface streams and rivers. The collapse of the Larsen B Ice Shelf in 2002 has been attributed to the sudden drainage of ∼3000 surface lakes and has highlighted the potential for surface water to cause ice-shelf instability. Surface meltwater systems have been identified across numerous Antarctic ice shelves, although the extent to which these systems impact ice-shelf instability is poorly constr… Show more

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Cited by 44 publications
(64 citation statements)
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“…This was particularly important in our study given the large area of nunataks (Bunger Hills) adjacent to the ice shelf. After rock masking was performed, we applied an NDWI threshold value of 0.25, following previous studies (Banwell et al, 2019;Dell et al, 2020;Doyle et al, 2013;Williamson et al, 2017;Yang and Smith, 2013), meaning pixels with NDWI ice > 0.25 were assumed to be water-covered. This threshold was found to be the most appropriate for detecting lakes, apart from in 11 scenes, where the threshold value was manually tuned in 0.01 increments to improve SGL identification by including pixels which were visibly water-covered in true-colour composites of the area (Table S1).…”
Section: Automated Mapping Of Sgl Extentmentioning
confidence: 99%
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“…This was particularly important in our study given the large area of nunataks (Bunger Hills) adjacent to the ice shelf. After rock masking was performed, we applied an NDWI threshold value of 0.25, following previous studies (Banwell et al, 2019;Dell et al, 2020;Doyle et al, 2013;Williamson et al, 2017;Yang and Smith, 2013), meaning pixels with NDWI ice > 0.25 were assumed to be water-covered. This threshold was found to be the most appropriate for detecting lakes, apart from in 11 scenes, where the threshold value was manually tuned in 0.01 increments to improve SGL identification by including pixels which were visibly water-covered in true-colour composites of the area (Table S1).…”
Section: Automated Mapping Of Sgl Extentmentioning
confidence: 99%
“…Some manual editing of SGL extents was necessary where floating ice in the centre of SGLs had resulted in pixels being misclassified as water. The transition from melting ice to saturated firn, slush, shallow ponds and deeper SGLs makes it challenging to adopt a clear binary definition of "lake" versus "non-lake" (Dell et al, 2020). To account for this uncertainty we used a minimum size threshold of 2 pixels, in order to remove very small SGLs likely comprised solely of mixed pixels (i.e.…”
Section: Automated Mapping Of Sgl Extentmentioning
confidence: 99%
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“…, and more recently, Antarctica (Dell et al, 2020). This algorithm calculates lake water depth using the rate that sunlight passing through a water column is attenuated with depth, lake-bottom albedo, and optically deep water reflectance (Philpot, 1989).…”
Section: )mentioning
confidence: 99%
“…Refreezing of this meltwater releases latent heat into the firn, causing additional melting, firn saturation, and firn air content depletion; eventually facilitating meltwater to pond on the ice-shelf surface (Kuipers Munneke et al, 2014;Holland et al, 2011). Extensive surface ponding (Arthur et al 2020;Dell et al, 2020;Kingslake et al, 2017) may threaten ice-shelf stability due to stress variations associated with meltwater movement, ponding and drainage (Scambos et al, 2000(Scambos et al, , 2003MacAyeal et al, 2003;Banwell and MacAyeal, 2015;Banwell et al 2019). These processes may initiate meltwater-induced vertical fracturing ('hydrofracturing') (Van der Veen, 2007;Dunmire et al, 2020;Lai et al 2020), especially if the ice shelf is already damaged with a high density of crevasses (Lhermitte et al, 2020).…”
mentioning
confidence: 99%