A technique for generating consistent ice sheet initial conditions for coupled ice sheet/climate models

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Abstract

A transient technique for generating ice sheet preindustrial initial conditions for long-term coupled ice sheet/climate model simulations is developed and demonstrated over the Greenland ice sheet using the Community Earth System Model (CESM). End-member paleoclimate simulations of the last glacial maximum, mid-Holocene optimum and the preindustrial are combined using weighting provided by ice core data time series to derive continuous energy-balance-model-derived surface mass balance and surface temperature fields, which are subsequently used to force a long transient ice sheet model simulation of the last glacial cycle, ending at the preindustrial. The procedure accounts for the evolution of climate through the last glacial period and converges to a simulated preindustrial ice sheet that is geometrically and thermodynamically consistent with the preindustrial CESM state, yet contains a transient memory of past climate. The preindustrial state generated using this technique notably improves upon the standard equilibrium spin-up technique, relative to observations and other model studies, although in the demonstration we present here, large biases remain due primarily to climate model forcing biases. Ultimately, the method we describe provides a clear template for generating initial conditions for ice sheets within a fully coupled climate model framework that allows for the effects of past climate history to be self-consistently included in long-term simulations of the fully coupled ice sheet/climate system. © Author(s) 2014. CC Attribution 3.0 License.

Figures

  • Fig. 1. Work flow for the procedure described in this study. Atmospheric output from global model simulations is used to drive land-surface model simulations. These simulations generate surface mass balance fields necessary to force the ice sheet model simulation (after ice core data-weighted interpolation between bounding end-member SMB and temperature fields, and interpolation to the ice sheet geometry). Blue boxes: End-member simulations; red boxes: fields passed from one simulation to the next; grey arrow: final ice sheet simulation. Note use of MHO climate as a proxy for the LIG (diagonal arrow).
  • Figure 2. 30-year climatological annual average surface temperature fields for the LGM (a), MHO (b) and preindustrial (c) endmember climate states. Blue/red circles: location of the summit/margin temperature time series presented in Fig. 4.
  • Figure 3. 30-year climatological SMB fields for the LGM (a), MHO (b) and preindustrial (c) end-member climate states. Blue/red circles: location of the summit/margin SMB time series presented in Fig. 4.
  • Figure 4. Time series of integrated GrIS SMB (a). Marginal/summit specific SMB (b): margin location is blue and the summit location is green; the vertical axes scaling is different for the two time series to highlight the anticorrelated relationship between the two. Marginal/summit surface temperature (c): margin location is blue and the summit location is green.
  • Figure 5. (a) Temperature evolution through time of the simulated ice column at the location of the observed GIS summit; (b) basal temperature evolution.
  • Figure 6. Time series of total GIS volume (a), GIS area (b) and GIS summit elevation (c).
  • Figure 7. (a) Difference in final preindustrial temperature across the central ice sheet between transient and equilibrium spin-up simulations (blue: transient simulation is colder); (b) comparison of vertical temperature profiles at observed summit location to the GRIP temperature profile. Red: transient spin-up; blue: equilibrium spinup; black: GRIP temperature profile.
  • Figure 8. Preindustrial basal temperatures for both transient (a) and equilibrium spin-up (b) simulations.

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CITATION STYLE

APA

Fyke, J. G., Sacks, W. J., & Lipscomb, W. H. (2014). A technique for generating consistent ice sheet initial conditions for coupled ice sheet/climate models. Geoscientific Model Development, 7(3), 1183–1195. https://doi.org/10.5194/gmd-7-1183-2014

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