Ice Flow of the Antarctic Ice Sheet

By Eric J. M. Rignot, Jeremie Mouginot, Bernd Scheuchl. Science, 2011

1,161 citations recorded by the source corpus.

A high-resolution map of ice motion in Antarctica shows the details of ice movement in a warming climate. We present a reference, comprehensive, high-resolution, digital mosaic of ice motion in Antarctica assembled from multiple satellite interferometric synthetic-aperture radar data acquired during the International Polar Year 2007 to 2009. The data reveal widespread, patterned, enhanced flow with tributary glaciers reaching hundreds to thousands of kilometers inland over the entire continent. This view of ice sheet motion emphasizes the importance of basal-slip–dominated tributary flow over deformation-dominated ice sheet flow, redefines our understanding of ice sheet dynamics, and has far-reaching implications for the reconstruction and prediction of ice sheet evolution.

Subfields: Atmospheric Science, Management, Monitoring, Policy and Law, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/2618d78111dea9bcfe5f7fcc4f8817d177ce6ae4

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Citations in the corpus

3D climate modeling of close-in land planets: Circulation patterns, climate moist bistability and habitability (2013, background): “It should be said that in Greenland, an ice sheet of around 2 km is sufficient to transport ice over distances of about 500−1000 km and create ice displacements up to 2−3 km per year near glaciers (Rignot et al. 2011; Rignot & Mouginot 2012).”
A simple inverse method for the distribution of basal sliding coefficients under ice sheets, applied to Antarctica (2012, methodology): “In appendices, we consider the effects of bedrock-model biases, compare surface velocities to observed (Rignot et al., 2011), and apply the method to deeper bed elevations in the Recovery Glacier basin proposed by Le Brocq et al.”
Continent‐Wide, Interferometric SAR Phase, Mapping of Antarctic Ice Velocity (2019, methodology): “…of satellite optical and synthetic aperture radar (SAR) data using feature and speckle tracking techniques, respectively (Joughin et al., 2010, 2018; Michel & Rignot, 1999; Mouginot et al., 2017; Mouginot et al., 2012; Nagler et al., 2015; Rignot et al., 2011; Rignot &Mouginot, 2012; Figure 1).”
Kinematic first-order calving law implies potential for abrupt ice-shelf retreat (2011, background): “While isotropic material properties can be captured in the proportionality constant K±2 , ice can15 be anisotropic near the ice front.”