Simulated Greenland Surface Mass Balance in the GISS ModelE2 GCM: role of the ice sheet surface
Alexander, P.M.; LeGrande, A.N.; Fischer, E.; Tedesco, M.; Fettweis, X.; Kelley, M.; Nowicki, S.M.J.; Schmidt, G.A. (2019). Simulated Greenland Surface Mass Balance in the GISS ModelE2 GCM: role of the ice sheet surface. JGR: Earth Surface 124(3): 750-765. https://dx.doi.org/10.1029/2018JF004772
In: Journal of Geophysical Research-Earth Surface. AMER GEOPHYSICAL UNION: Washington. ISSN 2169-9003; e-ISSN 2169-9011, meer
The rate of growth or retreat of the Greenland and Antarctic ice sheets remains a highly uncertain component of future sea level change. Here we examine the simulation of Greenland ice sheet surface mass balance (GrIS SMB) in a development branch of the ModelE2 version of the NASA Goddard Institute for Space Studies (GISS) general circulation model (GCM). GCMs are often limited in their ability to represent SMB compared with polar region regional climate models. We compare ModelE2‐simulated GrIS SMB for present‐day (1996–2005) simulations with fixed ocean conditions, at a spatial resolution of 2° latitude by 2.5° longitude (~200 km), with SMB simulated by the Modèle Atmosphérique Régionale (MAR) regional climate model (1996–2005 at a 25‐km resolution). ModelE2 SMB agrees well with MAR SMB on the whole, but there are distinct spatial patterns of differences and large differences in some SMB components. The impacts of changes to the ModelE2 surface are tested, including a subgrid‐scale representation of SMB with surface elevation classes. This has a minimal effect on ice sheet‐wide SMB but corrects local biases. Replacing fixed surface albedo with satellite‐derived values and an age‐dependent scheme has a larger impact, increasing simulated melt by 60%–100%. We also find that lower surface albedo can enhance the effects of elevation classes. Reducing ModelE2 surface roughness length to values closer to MAR reduces sublimation by ~50%. Further work is required to account for meltwater refreezing in ModelE2 and to understand how differences in atmospheric processes and model resolution influence simulated SMB.
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