4.5 Article

Developments in Simulating and Parameterizing Interactions Between the Southern Ocean and the Antarctic Ice Sheet

Journal

CURRENT CLIMATE CHANGE REPORTS
Volume 3, Issue 4, Pages 316-329

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s40641-017-0071-0

Keywords

Antarctica; Ice shelves; Ice sheet-ocean interactions; Ocean modeling; Marine ice sheet modeling; Icebergs

Funding

  1. US Department of Energy, Office of Science, and Office of Biological and Environmental Research [DE-SC0013038]
  2. CNRS
  3. French National Research Agency (ANR) through the TROIS-AS project [ANR-15-CE01-0005-01]
  4. Office of Science of the US Department of Energy [DE-AC02-05CH11231]
  5. NASA Cryosphere program
  6. NASA Modeling, Analysis, and Prediction program
  7. Labex OSUG@2020 [ANR10 LABX56]
  8. U.S. Department of Energy (DOE) [DE-SC0013038] Funding Source: U.S. Department of Energy (DOE)

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Recent advances in both ocean modeling and melt parameterization in ice-sheet models point the way toward coupled ice sheet-ocean modeling, which is needed to quantify Antarctic mass loss and the resulting sea-level rise. The latest Antarctic ocean modeling shows that complex interactions between the atmosphere, sea ice, icebergs, bathymetric features, and ocean circulation on many scales determine which water masses reach ice-shelf cavities and how much heat is available to melt ice. Meanwhile, parameterizations of basal melting in standalone ice-sheet models have evolved from simplified, depth-dependent functions to more sophisticated models, accounting for ice-shelf basal topography, and the evolution of the sub-ice-shelf buoyant flow. The focus of recent work has been on better understanding processes or adding new model capabilities, but a broader community effort is needed in validating models against observations and producing melt-rate projections. Given time, community efforts in coupled ice sheet-ocean modeling, already underway, will tackle the considerable challenges involved in building, initializing, constraining, and performing projections with coupled models, leading to reduced uncertainties in Antarctica's contribution to future sea-level rise.

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