Partitioning Recent Greenland Mass Loss

By M. R. van den Broeke, Jonathan L. Bamber, J. Ettema, Eric J. M. Rignot, Ernst J. O. Schrama, W. J. van de Berg, E. van Meijgaard, Isabella Velicogna, Bert Wouters. Science, 2009

819 citations recorded by the source corpus.

GRACE and Movement Together Recent measurements of the rate of mass loss from the Greenland ice sheet vary approximately by a factor of three. Resolving these discrepancies is essential for determining the current mass balance of the ice sheet and to project sea level rise in the future. Van den Broeke et al. (p. 984) obtained consistent estimates from two independent methods, one based on observations of ice movement combined with model calculations and the other on remote gravity measurements made by the GRACE (Gravity Recovery and Climate Experiment) satellites. The combination of these approaches also resolves the separate contributions of surface processes and of ice dynamics, the two major routes of ice mass loss. The major components of decay contributing to mass loss from the Greenland Ice Sheet can be quantified. Mass budget calculations, validated with satellite gravity observations [from the Gravity Recovery and Climate Experiment (GRACE) satellites], enable us to quantify the individual components of recent Greenland mass loss. The total 2000–2008 mass loss of ~1500 gigatons, equivalent to 0.46 millimeters per year of global sea level rise, is equally split between surface processes (runoff and precipitation) and ice dynamics. Without the moderating effects of increased snowfall and refreezing, post-1996 Greenland ice sheet mass losses would have been 100% higher. Since 2006, high summer melt rates have increased Greenland ice sheet mass loss to 273 gigatons per year (0.75 millimeters per year of equivalent sea level rise). The seasonal cycle in surface mass balance fully accounts for detrended GRACE mass variations, confirming insignificant subannual variation in ice sheet discharge.

Subfields: Atmospheric Science, Oceanography

View Paper: https://www.semanticscholar.org/paper/4dabb595b274f1da21c73d2c1710ad2cc179885d

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In Atmospheric Science

  1. P. Whitehouse
  2. Isabella Velicogna
  3. John M. Wahr
  4. Ernst J. O. Schrama
  5. Srinivas V. Bettadpur
  6. Eric J. M. Rignot
  7. Jeremie Mouginot
  8. Erik Ivins

In Oceanography

  1. P. Whitehouse
  2. Isabella Velicogna
  3. John M. Wahr
  4. Srinivas V. Bettadpur
  5. Scott B. Luthcke
  6. Erik Ivins
  7. Ernst J. O. Schrama
  8. Tyler Clark Sutterley

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