globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2463
论文题名:
Supraglacial lakes on the Greenland ice sheet advance inland under warming climate
作者: A. A. Leeson
刊名: Nature Climate Change
ISSN: 1758-1082X
EISSN: 1758-7202
出版年: 2014-12-15
卷: Volume:5, 页码:Pages:51;55 (2015)
语种: 英语
英文关键词: Cryospheric science ; Hydrology ; Climate change
英文摘要:

Supraglacial lakes (SGLs) form annually on the Greenland ice sheet1, 2 and, when they drain, their discharge enhances ice-sheet flow3 by lubricating the base4 and potentially by warming the ice5. Today, SGLs tend to form within the ablation zone, where enhanced lubrication is offset by efficient subglacial drainage6, 7. However, it is not clear what impact a warming climate will have on this arrangement. Here, we use an SGL initiation and growth8 model to show that lakes form at higher altitudes as temperatures rise, consistent with satellite observations9. Our simulations show that in southwest Greenland, SGLs spread 103 and 110 km further inland by the year 2060 under moderate (RCP 4.5) and extreme (RCP 8.5) climate change scenarios, respectively, leading to an estimated 48–53% increase in the area over which they are distributed across the ice sheet as a whole. Up to half of these new lakes may be large enough to drain, potentially delivering water and heat to the ice-sheet base in regions where subglacial drainage is inefficient. In such places, ice flow responds positively to increases in surface water delivered to the bed through enhanced basal lubrication4, 10, 11 and warming of the ice5, and so the inland advance of SGLs should be considered in projections of ice-sheet change.

The volume of water stored in SGLs on the surface of the Greenland ice sheet is determined by the presence of depressions in the local terrain2, by the amount of runoff8 (melt water plus rain minus refreezing in the snowpack) and by lake drainage3. It is estimated that 13% of Greenland’s SGLs drain on timescales of the order of a few hours12, often by the creation of moulins as water-filled fractures propagate through the full thickness of the ice sheet (termed hydro-fracture)13. SGLs act as a source of en- and subglacial water when they drain and afterwards, the moulin acts as a conduit allowing runoff to pass between the ice-sheet surface and base1, 3. Satellite and ground-based observations show a correlation between the degree of runoff and the rate of ice motion4, 6, 7; however, there are known spatial and temporal variations in the magnitude and sign of this relationship. For example, near the ice-sheet margin, lower annual ice speeds have been recorded in years of high melting6, 7 but further inland—at higher elevations—the reverse seems to be the case4, 11. This dichotomy can be attributed to an abundance of melt water at the margin, enabling the evolution of efficient subglacial drainage early in the melt season6, 10, and thicker ice and less water farther inland hindering the development of an efficient evacuation system14, 15. In addition to their impact on basal sliding, draining SGLs, and moulins that persist post-drainage, can exert a local warming as relatively warm water passes through the colder ice (termed cryo-hydrologic warming)5. This—by rendering the ice sheet more fluid—can potentially enable faster ice-sheet flow due to internal deformation5. Ultimately, faster flow may result in mass loss as ice-sheet thinning promotes an inland expansion of the melt zone.

In southwest Greenland, the maximum elevation at which SGLs occur has migrated 53 km inland over the past 40 years, following an upwards shift in the ice-sheet equilibrium line9, which, historically, has fallen close to (within 10 km on average) the maximum elevation of SGLs (Supplementary Table 1). This migration has accelerated over the past two decades, in response to rapid changes in regional temperature16 associated with global warming and an increase in frequency of negative North Atlantic Oscillation indices during boreal summer (favouring warmer and drier atmospheric conditions than normal)17. To study the long-term response of SGLs to this and future climate change, we simulate their initiation and growth over the period 1971–2060 in the vicinity of the Russell and Leverett glaciers (Fig. 1). Our simulations are performed using the SGL Initiation and Growth (SLInG) model8, a hydrologic model that routes runoff over a model of the ice-sheet surface, allowing water to form lakes in topographic depressions (Methods). Here we focus on a 19,441 km2 section of the ice sheet situated at elevations more than 1,100 m above sea level (a.s.l.), where subglacial drainage is expected to be inefficient10, 15 and the impact of SGLs on ice-sheet hydrology is potentially large. The SLInG model is forced with estimates of runoff derived from high-resolution (25 km) regional climate model18 reanalyses (1971–2010) and future projections (2006–2100). Future simulations are performed under both moderate and extreme climate projections characterized by Intergovernmental Panel on Climate Change Representative Concentration Pathways (RCPs) 4.5 and 8.5 (ref. 19), respectively.

Figure 1: Simulated distribution of SGLs in 2050–2060 under projections of climate change.
Simulated distribution of SGLs in 2050-2060 under projections of climate change.

Coloured shapes indicate new lakes that appear in each scenario. Black outline indicates SLInG model domain; contours indicate: lower limit of reported results (charcoal), maximum elevation of lakes (solid colours) and the elevation of the 90th percentile of lake area (dashed colours). Likely subglacial drainage pathways are indicated in blue; shades represent discrete catchments. The background is a Moderate Resolution Imaging Spectrometer image, captured in September 2003.

Simulation of SGLs.

SLInG is a hydrologic model that uses Manning’s equation for open channel flow and Darcy’s law for flow through a porous medium to route and pond water over a digital elevation model8 (DEM). The SLInG model has been shown to successfully reproduce observed supraglacial lake evolution at both the seasonal and inter-annual timescales8. The DEM used in this study was generated using Interferometric Synthetic Aperture Radar data acquired in the winter of 1995/1996 by the European Remote Sensing satellites (ERS-1 and ERS-2). By comparison with IceSat altimetry measurements, the DEM is estimated to reproduce the vertical location of the ice-sheet surface to within 11.8 m (root mean squared deviation) with a precision (r2) of 1.0. The DEM extends farther inland than previous high-resolution models, and exhibits surface depressions farther inland than the current upper limit of SGL formation.

Three model experiments were performed using runoff estimates derived from version 2 of the Modèle Atmosphérique Régional (MAR) regional climate model, which includes a comprehensive snow model that explicitly accounts for the retention and refreezing of runoff18. These comprised an experiment covering the 1971–2010 period (past and present) and two experiments covering the 2010–2100 period (future) under moderate and extreme climate scenarios characterized by RCPs 4.5 and 8.5 respectively. Global mean temperature change under RCPs 4.5 and 8.5 is projected to be 1.8 °C (1.1–2.6 °C) and 3.7 °C (2.6–4.8 °C) by 2100. MAR was forced at the boundaries by the European Centre for Medium-Range Weather Forecasts ERA-40 reanalysis for simulations covering 1971–1989 and the ERA-Interim reanalysis for simulations covering 1990–2010. For future simulations, MAR was forced by the Canadian Earth System Model (CanESM2) from the CMIP5 database (used in the Intergovernmental Panel on Climate Change fifth assessment report). CanESM2 has been shown to successfully reproduce the atmospheric circulation in the Arctic26.

Estimate of SGL drainage.

The amount of water required to hydro-fracture thick ice is linearly related to ice thickness, where the slope of this relationship is determined by the shear modulus of the ice21. The shear modulus of ice depends on multiple factors that, for thick ice sheets, are imperfectly understood (for example, strain rate, grain size, impurities and temperature)27. However, within a range of sensible values (3.9–0.32 GPa; ref. 27), SGLs are required to be larger than 0.13 km2–0.5 km2 for hydro-fracture to occur through 1 km of ice21. Extrapolating this relationship forward, we estimate that to hydro-fracture 2 km of ice, SGLs need to have an area greater than 0.18 km2–2.14 km2, depending on shear modulus. In our simulations, 51% and 4% of SGLs that form above the present-day maximum elevation in 2060 under the RCP 4.5 scenario have an area greater than 0.18 km2 and 2.14 km2 respectively. Under RCP 8.5, 50% and 8% of SGLs meet these criteria.

Ice-sheet-wide extrapolation.

The maximum elevation at which lakes are found (zmax) is close to the ice-sheet equilibrium line altitude (Supplementary Table 1), which, in turn, has been described as a function of latitude28 (L). We follow this approach and use satellite observations of the average maximum lake elevation at 12 sites9 over the period 2000–2010 to develop an empirical model (equation (1), r2 = 0.9) to describe the spatial variation in zmax

Estimate of SGL-enhanced melting.

We characterized the impact, I, of SGLs on melting by percentage additional melt with respect to bare ice. We calculate I by assuming that the melt rate ( ) beneath SGLs is twice that of the surrounding ice and using equation (2). Total lake area (Alakes) is estimated for the entire ice sheet by multiplying lake density modelled in the study region by the total lake-covered area (including that which lies below 1,100 m a.s.l.) observed in the present and simulated in the future.

Subglacial hydrology.

A hydraulic potential field was calculated using Shreve’s hydraulic potential equation and DEMs of the ice surface and bed29, under the assumption that the ice sheet is warm-based; equation (3).

where h is the bedrock elevation and Pw is the subglacial water pressure. Here we assume that the effective pressure is negligible compared with ice overburden pressure and thus Pw can be represented by ice overburden pressure alone: ρigH, where H is ice thickness.

Spatial analysis tools in ArcMap were used to calculate the preferential flow direction of each cell in the hydrologic potential field and the corresponding potential accumulation for each cell. Cells with higher than average accumulation were assumed to form a subglacial hydrologic network. Individual catchments were identified on the basis of their exit point at the ice-sheet margin.

  1. Leeson, A. A. et al. A comparison of supraglacial lake observations derived from MODIS imagery at the western margin of the Greenland ice sheet. J. Glaciol. 59, 11791188 (2013).
  2. Lampkin, D. J. & VanderBerg, J. A preliminary investigation of the influence of basal and surface topography on supraglacial lake distribution near Jakobshavn Isbrae, western Greenland. Hydrol. Process. 25, 33473355 (2011).
  3. Das, S. B. et al. Fracture propagation to the base of the Greenland ice sheet during supraglacial lake drainage. Science 320, 778781 (2008).
  4. Zwally, H. J. et al. Surface melt-induced acceleration of Greenland ice-sheet flow. Science 297, 218222 (2002). URL:
http://www.nature.com/nclimate/journal/v5/n1/full/nclimate2463.html
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/4910
Appears in Collections:气候变化事实与影响
科学计划与规划
气候变化与战略

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A. A. Leeson. Supraglacial lakes on the Greenland ice sheet advance inland under warming climate[J]. Nature Climate Change,2014-12-15,Volume:5:Pages:51;55 (2015).
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