Reconstructing the retreat dynamics of the Bjørnøyrenna Ice Stream based on new 3D seismic data from the central Barents Sea

Piasecka, Emilia Daria; Winsborrow, Monica; Andreassen, Karin; Stokes, Chris R.

doi:10.1016/j.quascirev.2016.09.003

Cited by 34 publications

(53 citation statements)

References 80 publications

(119 reference statements)

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“…Model simulations were able to produce longitudinal 'rolls' aligned in ice flow direction, with modelled dimensions (length 52.9 km, width 394 m) of the same order of magnitude as some empirical MSGLs observations (e.g. Clark, 1993;Andreassen and Winsborrow, 2009;Piasecka et al, 2016). However, the range of MSGL dimensions reported in literature is large (lengths from <1 km (Graham et al, 2009;Winsborrow et al, 2012) up to 180 km (Andreassen et al, 2007;Andreassen et al, 2008) and widths from <40 m (Stokes et al, 2013) up to 5 km (Andreassen et al, 2007), and the modelled values are highly dependent on particular parameters chosen for the experiment.…”

Section: Formational Theoriesmentioning

confidence: 71%

Relationship between mega-scale glacial lineations and iceberg ploughmarks on the Bjørnøyrenna Palaeo-Ice Stream bed, Barents Sea

et al. 2018

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Section: Formational Theoriesmentioning

confidence: 71%

Relationship between mega-scale glacial lineations and iceberg ploughmarks on the Bjørnøyrenna Palaeo-Ice Stream bed, Barents Sea

et al. 2018

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“…Such a distinct signature offers some promise for the development of tools for the automated identification of MSGLs and the extraction of metrics without the need to map individual features. This is a significant advance, as mapping MSGLs has proved to be difficult, given the spatial continuity of these highly elongated corrugations and the care necessary to judge what constitutes a mappable feature [ Spagnolo et al , ; Piasecka et al , ]. The automated identification of MSGLs based on their spectral signature in the frequency domain could also be extremely useful in the study of buried ice stream beds, such as those imaged from 3‐D seismic data across glaciated continental margins [e.g., Dowdeswell et al , ; Graham et al , ; Andreassen and Winsborrow , ; Piasecka et al , ].…”

Section: Discussionmentioning

confidence: 99%

The periodic topography of ice stream beds: Insights from the Fourier spectra of mega‐scale glacial lineations

et al. 2017

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Ice stream bed topography contains key evidence for the ways ice streams interact with, and are potentially controlled by, their beds. Here we present the first application of two‐dimensional Fourier analysis to 22 marine and terrestrial topographies from 5 regions in Antarctica and Canada, with and without mega‐scale glacial lineations (MSGLs). We find that the topography of MSGL‐rich ice stream sedimentary beds is characterized by multiple, periodic wavelengths between 300 and 1200 m and amplitudes from decimeters to a few meters. This periodic topography is consistent with the idea that instability is a key element to the formation of MSGL bedforms. Dominant wavelengths vary among locations and, on one paleo ice stream bed, increase along the direction of ice flow by 1.7 ± 0.52% km−1. We suggest that these changes are likely to reflect pattern evolution via downstream wavelength coarsening, even under potentially steady ice stream geometry and flow conditions. The amplitude of MSGLs is smaller than that of other fluvial and glacial topographies but within the same order of magnitude. However, MSGLs are a striking component of ice stream beds because the topographic amplitude of features not aligned with ice flow is reduced by an order of magnitude relative to those oriented with the flow direction. This study represents the first attempt to automatically derive the spectral signatures of MSGLs. It highlights the plausibility of identifying these landform assemblages using automated techniques and provides a benchmark for numerical models of ice stream flow and subglacial landscape evolution.

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“…3a) (e.g. Piasecka et al, 2016;Andreassen et al, 2017). Comparisons with seabed images generated by conventional 3D seismic data and conventional multibeam echosounder data show that the P-Cable technology resolves the seabed in similar or higher quality.…”

Section: Seabedmentioning

confidence: 99%

“…Conventional seismic data show that the URU landform assemblage is dominated by mega-scale glacial lineations (Piasecka et al, 2016). An increased frequency of c. 300 Hz at URU depths in P-Cable data allows to image geological structures with a resolution of 1-6 m along this horizon.…”

Section: Buried Horizonsmentioning

confidence: 99%

“…This study is based on four high-resolution P-Cable 3D seismic cubes from different areas of the SW Barents Sea, where the Barents Sea Ice Stream and disintegrating icebergs eroded Lower Cretaceous bedrock during multiple Pleistocene oscillations ( Fig. 1) (Piasecka et al, 2016). These eroded Cretaceous sediments were redeposited in the Bjørnøyrenna and the Bear Island Trough Mouth Fan (Fig.…”

Section: Introductionmentioning

confidence: 99%

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Detailed Structure of Buried Glacial Landforms Revealed by High-resolution 3D Seismic Data in the SW Barents Sea

Bellwald¹,

Polteau²,

Lebedeva‐Ivanova³

et al. 2018

Proceedings

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Glacial landforms identified in seismic 3D and multibeam data of the Barents Sea have improved the knowledge about past glaciations and associated geohazards. High-resolution P-Cable 3D seismic data were acquired in this area with an inline separation of 6 m, a source frequency range of 5-350 Hz and an source-receiver offset range of 120-160 m. Seabed images derived from the P-Cable data show an increased resolution and sharpness compared to images from conventional 3D seismic and multibeam echosounder data. High-resolution images of the buried Upper Regional Unconformity (URU) were derived from the P-Cable data, revealing previously unrecognized structures such as hill-hole pairs and rhombohedral and transverse ridges. These observations indicate different subglacial thermal regimes, the presence of permafrost, and a strong link with variations in the underlying geology. No reflections are imaged within the interglacial sediment package in the conventional seismic data. However, reflections interpreted as the top of a shear margin moraine, shear planes, mass transport deposits, and soft beds are visible in the P-Cable data. Meter-scale glacial landforms and layers identified in the P-Cable cubes comprise new information about glacier dynamics, fluid flow, and faults, which are valuable for geotechnical and geohazard evaluations of offshore infrastructure.

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Reconstructing the retreat dynamics of the Bjørnøyrenna Ice Stream based on new 3D seismic data from the central Barents Sea

Cited by 34 publications

References 80 publications

Relationship between mega-scale glacial lineations and iceberg ploughmarks on the Bjørnøyrenna Palaeo-Ice Stream bed, Barents Sea

Relationship between mega-scale glacial lineations and iceberg ploughmarks on the Bjørnøyrenna Palaeo-Ice Stream bed, Barents Sea

The periodic topography of ice stream beds: Insights from the Fourier spectra of mega‐scale glacial lineations

Detailed Structure of Buried Glacial Landforms Revealed by High-resolution 3D Seismic Data in the SW Barents Sea

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