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Modeling the Greenland Ice Sheet's Committed Contribution to Sea Level During the 21st Century

  • NASA Goddard Space Flight Center
  • University of Maryland, College Park
  • University of Liverpool
  • Morgan State University

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Mass loss from the Greenland Ice Sheet can be partitioned between surface mass balance and discharge due to ice dynamics through its marine-terminating outlet glaciers. A perturbation to a glacier terminus (e.g., a calving event) results in both an instantaneous response in velocity and mass loss and a diffusive response due to the evolution of ice thickness over time. This diffusive response means the total impact of a retreat event can take decades to be fully realized. Here we model the committed response of the Greenland Ice Sheet by applying perturbations to the marine-terminating glacier termini that represent recent observed changes, and simulating the response over the 21st century, while holding the climate forcing constant. The sensitivity of the ice sheet response to model parameter uncertainty is explored within an ensemble framework, and Gravity Recovery and Climate Experiment data is used to constrain the results using a Bayesian calibration approach. We find that the Greenland Ice Sheet's committed contribution to 21st century sea level rise is at least 33.5 [17.5 52.4] mm (25th and 75th percentiles in brackets), with at least 6 mm being attributable directly to terminus retreat that occurred between 2007 and 2015. The spread in our projections is driven by uncertainty in the basal friction coefficient. Our results complement the ISMIP6 Greenland projections, which report the ice sheet response to future forcing, excluding the background response. In this way, we can obtain estimates of Greenland's total contribution to sea level rise in 2100.

Original languageEnglish
Article numbere2022JF006914
JournalJournal of Geophysical Research: Earth Surface
Volume128
Issue number2
DOIs
StatePublished - Feb 2023

Keywords

  • Bayesian calibration
  • Greenland Ice Sheet
  • ice sheet modeling
  • sea level rise

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