Contribution of the Greenland Ice Sheet to sea level over the next millennium

  • Andy Aschwanden
  • , Mark A. Fahnestock
  • , Martin Truffer
  • , Douglas J. Brinkerhoff
  • , Regine Hock
  • , Constantine Khroulev
  • , Ruth Mottram
  • , S. Abbas Khan

Research output: Contribution to journalArticlepeer-review

223 Scopus citations

Abstract

The Greenland Ice Sheet holds 7.2 m of sea level equivalent and in recent decades, rising temperatures have led to accelerated mass loss. Current ice margin recession is led by the retreat of outlet glaciers, large rivers of ice ending in narrow fjords that drain the interior. We pair an outlet glacier–resolving ice sheet model with a comprehensive uncertainty quantification to estimate Greenland’s contribution to sea level over the next millennium. We find that Greenland could contribute 5 to 33 cm to sea level by 2100, with discharge from outlet glaciers contributing 8 to 45% of total mass loss. Our analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, whereas uncertainties in calving and frontal melt play a minor role. We project that Greenland will very likely become ice free within a millennium without substantial reductions in greenhouse gas emissions.

Original languageEnglish
Article numbereaav9396
JournalScience advances
Volume5
Issue number6
DOIs
StatePublished - 2019

Funding

We thank T. Moon for comments on an earlier version of the manuscript, X. Fettweis for providing MAR simulations, and P. Langen for assistance with the HIRHAM snowpack model. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center and by the University of Alaska’s Research Computing Systems (RCS). Open-source software was used at all stages, in particular NumPy (www.numpy.org), CDO (https://code.mpimet.mpg.de/projects/cdo/), matplotlib (https://matplotlib.org/), QGIS3 (https://qgis.org/), and TimeManager (https://github.com/anitagraser/TimeManager). A.A. was supported by NASA grant NNX16AQ40G and NSF grant PLR-1603799; A.A., M.A.F., and D.J.B. were supported by NASA grant NNX17AG65G; R.H. was supported by NSF grant PLR11603815 and NASA grant NSSC17K0566; R.M. was supported by the European Research Council under the European Community Seventh Framework Programme (FP7/ 2007-2013)/ERC grant agreement 610055 as part of the ice2ice project; and S.A.K. was funded, in part, by Carlsbergfondet and the Danish Council for Independent Research.

FundersFunder number
PLR-1603799, PLR11603815
National Aeronautics and Space AdministrationNSSC17K0566, NNX17AG65G, NNX16AQ40G
610055

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