Great new paper by Dominic Hodgson and Tom Jordan from #BAS.

Using #Lidar, #Radar & #AirbornePhotography data, they identify the rapid drainage and slow refilling of a ~46m subglacial lake on the #AntarcticPeninsula.

Such findings have implications for the connectivity of the surface and #Subglacial hydrological networks, and, the authors hypothesise, the thermal regime of the #Ice.

Read the #OpenAccess paper here: https://doi.org/10.5194/tc-16-4797-2022

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Drainage and refill of an Antarctic Peninsula subglacial lake reveal an active subglacial hydrological network

<p><strong class="journal-contentHeaderColor">Abstract.</strong> The presence of subglacial lakes and subglacial hydrological networks under the East and West Antarctic ice sheets is now relatively well understood, whilst their influence on ice dynamics is the subject of ongoing research. In contrast, little is known about subglacial lakes and hydrological networks under the Antarctic Peninsula Ice Sheet and how these are influencing glacier behaviour. Here we describe the rapid drainage and slow refill of a subglacial lake under Mars Glacier using remote sensing and aerogeophysics. Results suggest drainage of the subglacial lake occurred prior to 2011, resulting in the collapse of the overlying ice into the newly formed subglacial cavity. The cavity has been refilling since this time, with peak rates of infilling associated with seasonal surface meltwater activity. We review evidence for similar features elsewhere in the Antarctic Peninsula and discuss whether their appearance marks a threshold shift in glacier thermal regimes and the activation or enhancement of their subglacial hydrological networks by surface meltwater. Collectively, these features show coupling of climate processes and the bed of the region's glaciers highlighting their ongoing vulnerability to climate change.</p>

#Antarctic #IceShelves are not just smooth, perfect slabs of floating #Ice, but rather contain areas of damaged ice that affect their strength and flow.

Building on previous work, Maaike Izeboud & Stef Lhermitte show how their "NeRD" method can detect different types and scales of damage (e.g. crevasse fields, large rifts, shear zones) in both SAR and optical #RemoteSensing datasets.

Read the full #OpenAccess article here: https://doi.org/10.1016/j.rse.2022.113359

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Direct measurements of physical properties in the #Cryosphere are often hard to come by, so I enjoyed reading this paper by Simon Oster and Mary Albert.

They measure the effective thermal conductivity (~ ability to transfer heat) of #Firn from #Antarctica, reporting values down to a depth of 48m, and showing conductivity can be well-explained as an exponential function of either density or depth.

Read the #OpenAccess article here: https://doi.org/10.1017/jog.2022.28

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Thermal conductivity of polar firn | Journal of Glaciology | Cambridge Core

Thermal conductivity of polar firn - Volume 68 Issue 272

Cambridge Core

I always enjoy thinking about novel ways to combine #RemoteSensing datasets!

This new paper, led by Clément Soriot, shows that observations made by radiometers (AMSR, SMAP) strongly correlate with high-precision, #Altimetry-derived estimates of #SeaIce thickness in the #Arctic.

This technique could allow us to create a #TimeSeries of daily sea-ice thickness back to the 1980's.

Read the full #OpenAccess paper here:
doi.org/10.1029/2022EA002542

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Here's an interesting recent modelling study led by Brice Noël about the ability of the #Greenland #Icesheet to retain #Meltwater in the #Firn layer under different #EmissionScenarios.

They show, under #SSP5-8.5, that the amount of meltwater that can refreeze will peak as early as 2100 in SW Greenland, subsequently leading to increased surface #Runoff and accelerated #SeaLevelRise.

Read the #OpenAccess article here: https://doi.org/10.1038/s41467-022-34524-x

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