Recent Progress in Greenland Ice Sheet Modelling.

Heiko Goelzer, Alexander Robinson, Helene Seroussi, Roderik S W van de Wal
Author Information
  1. Heiko Goelzer: 1Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht University, Princetonplein 5, 3584 CC Utrecht, The Netherlands. ORCID
  2. Alexander Robinson: 3Faculty of Geology and Geoenvironment, University of Athens, 15784 Athens, Greece.
  3. Helene Seroussi: 6Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.
  4. Roderik S W van de Wal: 1Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht University, Princetonplein 5, 3584 CC Utrecht, The Netherlands.

Abstract

PURPOSE OF REVIEW: This paper reviews the recent literature on numerical modelling of the dynamics of the Greenland ice sheet with the goal of providing an overview of advancements and to highlight important directions of future research. In particular, the review is focused on large-scale modelling of the ice sheet, including future projections, model parameterisations, paleo applications and coupling with models of other components of the Earth system.
RECENT FINDINGS: Data assimilation techniques have been used to improve the reliability of model simulations of the Greenland ice sheet dynamics, including more accurate initial states, more comprehensive use of remote sensing as well as paleo observations and inclusion of additional physical processes.
SUMMARY: Modellers now leverage the increasing number of high-resolution satellite and air-borne data products to initialise ice sheet models for centennial time-scale simulations, needed for policy relevant sea-level projections. Modelling long-term past and future ice sheet evolution, which requires simplified but adequate representations of the interactions with the other components of the Earth system, has seen a steady improvement. Important developments are underway to include ice sheets in climate models that may lead to routine simulation of the fully coupled Greenland ice sheet-climate system in the coming years.

Keywords

References

  1. Proc Natl Acad Sci U S A. 2011 May 31;108(22):8978-83 [PMID: 21576500]
  2. Geosci Model Dev. 2016;9(12):4521-4545 [PMID: 29697697]
  3. J Geophys Res Earth Surf. 2015 Feb;120(2):212-241 [PMID: 26213664]
  4. J Geophys Res Earth Surf. 2016 Aug 10;121(7):1328-1350 [PMID: 28163988]
  5. Nature. 2013 May 9;497(7448):235-8 [PMID: 23657350]
  6. Geosci Model Dev. 2017;10(1):255-270 [PMID: 29697704]
  7. Sci Adv. 2017 Jul 07;3(7):e1700457 [PMID: 28695210]
  8. Cryosphere. 2019 Apr;12(4):1433-1460 [PMID: 32676174]
  9. Curr Clim Change Rep. 2017;3(4):282-290 [PMID: 32010549]
  10. Science. 2006 Feb 17;311(5763):986-90 [PMID: 16484490]
  11. Nat Commun. 2016 Apr 29;7:11427 [PMID: 27126274]
  12. Proc Natl Acad Sci U S A. 2013 Aug 27;110(35):14156-61 [PMID: 23940337]
  13. Proc Natl Acad Sci U S A. 2017 Jun 6;114(23):5952-5957 [PMID: 28512225]
  14. Earths Future. 2015 Jul;3(7):252-267 [PMID: 27819011]
  15. Nat Commun. 2016 Feb 01;7:10524 [PMID: 26830316]

Word Cloud

Created with Highcharts 10.0.0icesheetGreenlandIcemodellingdynamicsfuturemodelssystemincludingprojectionsmodelpaleocomponentsEarthsimulationsModellinginteractionsPURPOSEOFREVIEW:paperreviewsrecentliteraturenumericalgoalprovidingoverviewadvancementshighlightimportantdirectionsresearchparticularreviewfocusedlarge-scaleparameterisationsapplicationscouplingRECENTFINDINGS:DataassimilationtechniquesusedimprovereliabilityaccurateinitialstatescomprehensiveuseremotesensingwellobservationsinclusionadditionalphysicalprocessesSUMMARY:Modellersnowleverageincreasingnumberhigh-resolutionsatelliteair-bornedataproductsinitialisecentennialtime-scaleneededpolicyrelevantsea-levellong-termpastevolutionrequiressimplifiedadequaterepresentationsseensteadyimprovementImportantdevelopmentsunderwayincludesheetsclimatemayleadroutinesimulationfullycoupledsheet-climatecomingyearsRecentProgressSheetsheet–climatethermodynamicsNumericalSea-levelrise

Similar Articles

Cited By (6)