2006
DOI: 10.1038/nature05168
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Acceleration of Greenland ice mass loss in spring 2004

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Cited by 345 publications
(281 citation statements)
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“…In cases where mass changes are uniform across the region's boundaries, bias is minimal 25,26 and the signal recovered using the averaging kernel does not need to be rescaled because the smoothing effects are compensated by leakage of identical variations from the outside regions. However, if mass variability immediately outside the region is uncorrelated with that inside or they are negatively correlated or have different amplitudes, the recovered signal will be biased 28 . This must be evaluated on a case-by-case basis.…”
Section: Methodsmentioning
confidence: 99%
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“…In cases where mass changes are uniform across the region's boundaries, bias is minimal 25,26 and the signal recovered using the averaging kernel does not need to be rescaled because the smoothing effects are compensated by leakage of identical variations from the outside regions. However, if mass variability immediately outside the region is uncorrelated with that inside or they are negatively correlated or have different amplitudes, the recovered signal will be biased 28 . This must be evaluated on a case-by-case basis.…”
Section: Methodsmentioning
confidence: 99%
“…The kernel is spatially smoothed primarily as a consequence of three factors: the truncation of the Stokes coefficients to degree 60, the filtering process and convolution with a Gaussian function. When mass variations inside and outside the region differ, such smoothing causes the amplitude of the retrieved signal to be damped 26,28 . To offset this effect, we computed and applied a scaling factor of 1.95.…”
Section: Methods Summarymentioning
confidence: 99%
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“…In order to quantify the contribution of polar ice sheets to GMSL in the near future, accurate mass balance projections must therefore be carried out, which can either be based on extrapolation of current trends (Velicogna and Wahr, 2006;Velicogna, 2009;Shepherd and Wingham, 2007;Rignot et al, 2011) or supported by transient ice-flow models that are physically validated against data. Such models, however, as demonstrated in the SeaRISE (Sea-level Response to Ice Sheet Evolution) and ice2sea intercomparison projects, are not fully capable of capturing the present-day trends (Bindschadler et al, 2013;Nowicki et al, 2013a, b), which hinders our ability to project them into the future with a high degree of confidence.…”
Section: Introductionmentioning
confidence: 99%