A multirheology ice model: Formulation and application to the Greenland ice sheet

Abstract

[1] Accurate prediction of future sea level rises requires models which can reproduce recent observed change in ice sheet behavior. This study describes a new multiphase, multiple-rheology ice dynamics model (SEGMENT-ice), which is used to examine Greenland ice sheet (GrIS) responses both to past and to possible future warming climate conditions. When applied to the GrIS, SEGMENT-ice exhibits skill in reproducing the mass loss rate derived from the Gravity Recovery and Climate Experiment (GRACE), the interferometric synthetic aperture radar (InSAR) measured surface flow speed, and the microwave remotely sensed surface melt area over the past decade. When forced by the NCEP/NCAR reanalysis atmospheric parameters, the ice model simulates closely the GrIS mass loss rate obtained from GRACE. An increase of summer maximum melt area extent (SME) is indicative of an expansion of the ablation zone. The modeled SME from 1979 to 2006 also simulates well the observed interannual variability of SME, with a high correlation of 0.88 between the two time series. The geographical distributions of the modeled and observed SME also agree well. Comparison of modeled and observed velocity over three regions, covering the west, northeast, and north sides of the GrIS, respectively, indicates a satisfactory model performance in delineating flow direction and magnitudes for regions with flow speed less than 500 m/y, with no region-specific systematic errors. However, the model cannot simulate extremes in the observations, mainly because it is limited by spatial resolution. The SEGMENT-ice simulations are sufficiently close to the observations to employ the model to project the future behavior of the GrIS. By the end of this century, if the moderate A1B scenario is realized, the total mass loss rate will reach ∼220 km 3 /y. The ice divergence contribution will be about 60%, outweighing the contribution from surface processes.

GRACE, time-varying gravity, Earth system dynamics and climate change

“…Due to the improved data quality, the expertise in handling and interpreting this new data product gained since the mission launch, and the increasing interaction between GRACE-processors and researchers from other fields, the focus of GRACE-related research has moved from simply observing variations in water storage to explaining and interpreting these observations. Earth system modellers and GRACE processors are now engaged in an iterative cycle of mutual improvement for their products and GRACE has become a popular tool to validate and tune Earth system models, especially in hydrology [e.g., 64,65] and glaciology [e.g., 197,298,235]. GRACE data are nowadays being directly assimilated into ocean [299] and hydrology [67,70] models and are also fed into model simulations to assess the impacts of climate change, such as the potential weakening of the Atlantic meridional overturning due to increased meltwater input from the Greenland Ice Sheet [300].…”

Antarctic ice sheet mass loss estimates using Modified Antarctic Mapping Mission surface flow observations

“…Atmospheric warming affects ice flow through a mechanism illustrated in Ren et al . [], in which the effects of increased surface flow are amplified by frictional heating and propagate to greater depths than possible simply by diffusion.…”

Quantifying Regional Sea Level Rise Contributions From the Greenland Ice Sheet

“…The near-surface ice temperature increases for most of the GrIS (Fig. 5, [Ren et al 2011b]). The greatest warming of over 3 °C by 2100, under SRES B1, corresponds to high precipitation areas in a band along the 2000 m GrIS elevation contour.…”