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Investigating the sensitivity of numerical model simulations of the modern state of the Greenland ice-sheet and its future response to climate change

Version 4 2024-03-12, 15:05
Version 3 2023-10-29, 11:31
journal contribution
posted on 2024-03-12, 15:05 authored by E. J. Stone, D. J. Lunt, I. C. Rutt, Edward HannaEdward Hanna
<p>Ice thickness and bedrock topography are essential boundary conditions for numerical modelling of the evolution of the Greenland ice-sheet (GrIS). The datasets currently in use by the majority of GrIS modelling studies are over two decades old and based on data collected from the 1970s and 80s. We use a newer, high-resolution Digital Elevation Model of the GrIS and new temperature and precipitation forcings to drive the Glimmer ice-sheet model offline under steady state, present day climatic conditions. Comparisons are made of ice-sheet geometry between these new datasets and older ones used in the EISMINT-3 exercise. We find that changing to the newer bedrock and ice thickness makes the greatest difference to Greenland ice volume and ice surface extent. When all boundary conditions and forcings are simultaneously changed to the newer datasets the ice-sheet is 33 larger in volume compared with observation and 17 larger than that modelled by EISMINT-3. We performed a tuning exercise to improve the modelled present day ice-sheet. Several solutions were chosen in order to represent improvement in different aspects of the GrIS geometry: ice thickness, ice volume and ice surface extent. We applied these new parameter sets for Glimmer to several future climate scenarios where atmospheric CO2 concentration was elevated to 400, 560 and 1120 ppmv (compared with 280 ppmv in the control) using a fully coupled General Circulation Model. Collapse of the ice-sheet was found to occur between 400 and 560 ppmv, a threshold substantially lower than previously modelled using the standard EISMINT-3 setup. This work highlights the need to assess carefully boundary conditions and forcings required by ice-sheet models, particularly in terms of the abstractions required for large-scale ice-sheet models, and the implications that these can have on predictions of ice-sheet geometry under past and future climate scenarios. © 2010 Author(s).</p>

History

School affiliated with

  • Department of Geography (Research Outputs)

Publication Title

Cryosphere

Volume

4

Issue

3

Pages/Article Number

397-417

Publisher

European Geosciences Union (EGU) / Copernicus Publications

ISSN

1994-0416

eISSN

1994-0424

Date Submitted

2017-02-09

Date Accepted

2010-08-29

Date of First Publication

2010-09-29

Date of Final Publication

2010-09-29

Date Document First Uploaded

2017-02-09

ePrints ID

26067