Abstract
Ice flows when gravity acts on gradients in surface elevation, producing driving stresses. In the Isunnguata Sermia and Russell Glacier catchments of western Greenland, a 50% decline in driving stress along a flow line is juxtaposed with increasing surface flow speed. Here, these circumstances are investigated using modern observational data sources and an analysis of the balance of forces. Stress gradients in the ice mass and basal drag which resist the local driving stress are computed in order to investigate the underlying processes influencing the velocity and stress regimes. Our results show that the largest resistive stress gradients along the flowline result from increasing surface velocity. However, the longitudinal coupling stresses fail to exceed 15 kPa, or 20% of the local driving stress. Consequently, computed basal drag declines in proportion to the driving stress. In the absence of significant resistive stress gradients, other mechanisms are therefore necessary to explain the observed velocity increase despite declining driving stress. In the study area, the observed velocity—driving stress feature occurs at the long-term mean position of the equilibrium line of surface mass balance. We hypothesize that this position approximates the inland limit where seasonal surface meltwater penetrates the bed, and that the increased surface velocity reflects enhanced basal motion associated with these meltwater perturbations.
Introduction
As the Greenland Ice Sheet (GrIS) loses mass at an accelerating rate (Shepherd et al., ), understanding the flow dynamics that control mass flux and geometry of the ice sheet has increasingly become a research priority. This has motivated the collection of new high resolution datasets over the last decade of GrIS surface topography (e.g., Helm et al., ; Howat et al., ), bed geometry (e.g., Bamber et al., ), and surface velocity (e.g., Joughin et al., ; Rignot and Mouginot, ). While gravity drives the flow of ice, numerous other factors (e.g., basal topography and substrate, ice temperature, and rheology) also influence the basal sliding and deformational motion of the ice sheet in response to gravitational forcing. These new datasets of the ice sheet's physical domain have allowed the driving stress and velocity fields to be quantified with increasing accuracy, and thus facilitate investigation of additional processes and conditions which influence ice motion.
Establishing those processes driving ice flow through simple comparison of driving stress with surface velocity can be complicated by viscous stresses within the ice column. These stresses resist the transmission of driving stress to the bed by redistributing it to neighboring regions. The magnitude of these internal stresses has been found to be substantial over length scales reaching several ice thicknesses (e.g., Price et al., ; van der Veen et al., ). Consequently, the stress regime near the ice sheet base, where deformation and sliding are concentrated, can deviate significantly from the driving stress. Where observations are sufficiently resolved, the magnitude of resistive stress gradients can be estimated computationally by a force budget. Given knowledge of ice temperature and geometry, the computed spatial gradients in surface velocity yield column-averaged longitudinal and lateral resistive stresses. Gradients in these stresses determine the fraction of driving stress that is taken up in the ice column, with the remainder being locally transmitted to the ice sheet bed.
The southwest region of the GrIS (Figure 1) was previously identified as having anomalously low driving stress compared to the bulk of the ice sheet (Bamber and Layberry, ; Layberry and Bamber, ) (driving stress calculations are discussed below). Available data at the time of this identification indicated increasing bed elevations and reverse bed slopes toward the ice margin, which were interpreted to be the reason behind an extensive “ice plain” and lower driving stress in the region (Layberry and Bamber, ). Low driving stress also extends north to the Isunnguata Sermia and Russell Glacier catchments (boxed area in Figure 1), but new airborne-based surface and bed topography indicate that increasing bed elevations there are absent (Figures 2, 3).
Figure 1
Figure 2
Figure 3

Surface and bed topography (black), and computed driving stress (gray) along two IceBridge flightlines (A) and (B) (Allen et al.,
For the Isunnguata Sermia and Russell Glacier catchments, high-resolution datasets of ice geometry, surface velocity, and borehole measurements of in situ ice sheet temperature (Harrington et al.,
Study area and datasets
The study region in W-SW GrIS includes the Isunnguata Sermia and Russell Glacier catchments (Figure 2). These land-terminating outlet glaciers have been a focus of field-based research investigating subglacial hydrology (e.g., Chandler et al.,
The relatively high density of observations made from remote (e.g., airborne-based radar) and in situ (e.g., borehole measurements) techniques uniquely position the study area for force balance analysis. InSAR-derived surface velocities from Joughin et al. (
We use the CryoSat-2 DEM (Helm et al.,
Full depth ice temperature has been measured in multiple boreholes drilled in the ablation zone of the study reach (Harrington et al.,
Figure 4

Temperature profiles in two boreholes, <20 m apart, drilled to the ice sheet bed (Harrington et al.,
Force balance
We implement the force balance technique developed by van der Veen and Whillans (
The driving stress is calculated as:
where ρi is ice density, g is gravitational acceleration, H is ice thickness, and S is the surface elevation. Driving stress values are positive in the downstream direction. Viscous stresses acting in the same direction are also denoted positive when we assess the fraction of driving stress taken up by internal ice dynamics.
Calculation of the resistive terms τl and τt requires knowledge of ice temperature and stresses through the ice column that are poorly constrained. Where basal sliding constitutes a substantial fraction of observed surface motion, strain rates at depth are reasonably reflected by surface values, and the assumption of depth-invariance may be invoked (Price et al.,
and
where y is the direction transverse to flow. Variables and represent the vertically averaged horizontal resistive stresses, and are expressed as:
and:
where n is Glen's exponent (assumed to equal 3) and strain rates are calculated from surface velocity gradients:
The effective strain rate in Equations (5) and (6) is given by:
which computes the vertical strain rate under the continuity condition . Vertical shear is omitted in Equation (8) following the depth-invariance assumption. Vertical resistive stresses in Equation (5) are omitted under the assumption that bridging effects are negligible over the length scales considered (~km). Vertical resistive stresses have been found to alter basal stress to a minor degree (van der Veen and Whillans,
where A0 is an Arrhenius constant, Q is the activation energy for creep, R = 8.314 J mol−1K−1 is the universal gas constant, and T is the vertically averaged ice temperature.
Computational methods and selection of smoothing kernel
Input datasets must share a consistent spatial grid for force balance calculations. To achieve this, the velocity field is resampled at 1 km spacing to match the coarser DEMs. The bedrock DEM is projected to the same spatial projection as the velocity and surface elevation products, and linearly interpolated so that all datasets are populated along the same spatial coordinates. The bed DEM is then subtracted from the surface DEM to yield ice thickness. The force balance must be computed over a coarser resolution than 1 km in order to reduce the propagation of input data uncertainties. To achieve this, each dataset is smoothed using a two dimensional triangular smoothing window of size 4 × 4 km, and resampled at 4 km spacing to generate final datasets for the force balance calculations. The resulting ice thickness, surface slope, and surface speed are displayed in Figure 5.
Figure 5

Ice thickness (A), surface slope (B), and surface speed (C) fields used for the force balance calculations after pre-processing as described in the text.
Each computed force balance term has a corresponding uncertainty that is a function of the input dataset uncertainty and length scale over which the spatial derivatives are computed (van der Veen,
Figure 6

Mean basal drag uncertainty over the study domain () displayed as a fraction of the mean computed basal drag () for different smoothing window scales.
Results
Results from the force balance analysis over the study area are displayed in Figure 7. Figure 8 presents the force balance components along the flowline shown in Figure 2. This flowline is chosen because it terminates in the Isunnguata Sermia outlet. We have no reason to assume it is less representative than other flowlines through the study area.
Figure 7

Force balance calculation results across the study domain showing driving stress (A), lateral drag (B), longitudinal stress gradient (C), and the basal drag residual (D). Black line shows the approximate long term ELA (1553 m elevation) for reference. Note the difference in scale between resistive terms (B,C), and driving stress (A) and basal shear (D).
Figure 8

Force balance calculation results along the flowline presenting driving stress (B), lateral drag (C), longitudinal stress gradient (D), and basal drag (E). Surface speed is presented in (A) for reference. Shaded regions represent the computed uncertainty for each force balance component. Dashed black line locates the approximate long term ELA (1553 m elevation) for reference.
Driving stress and surface velocity
With the exception of diminishing driving stress from thin ice near the margin, calculated driving stress across the study area is between ~50 and 120 kPa (Figure 7A). Along the flowline from the interior toward the ice margin, the driving stress shows an increasing trend from 75 kPa at 250 km to 100 kPa at 115 km (Figure 8B). Over the subsequent 20 km, driving stress falls by 50% from 100 kPa to a minimum of 50 kPa at 95 km. Away from the ice sheet edge, this marks the lowest driving stress along the entire flowline. Following the driving stress minimum, values slowly increase to a maximum of 140 kPa at 15 km before dropping near the ice sheet margin.
Surface flow speed generally increases from the interior toward the ice margin (Figures 5C, 8A). A brief plateau in speed at 110 km along the flowline is followed by a sharp increase to a peak value of 105 m a−1 ~50 km from the margin. The onset of the surface speed-up is coincident with declining driving stress and, with the exception of the ice sheet margin, the lowest driving stress values of the profile at 90–100 km align with the greatest increase in surface speed (Figure 8).
Force balance
Lateral drag over the study area is small, and does not exceed 15 kPa in magnitude (Figure 7B). Gradients in longitudinal stresses (τl) are larger in magnitude than lateral drag. Fluctuations in τl are small in the interior, and increase in magnitude toward the ice sheet margin, locally reaching values between −25 and 25 kPa (Figure 7C).
Along the flowline, the largest positive τl are coincident with the acceleration in surface speed at 100 km. Here, τl reaches values that are ~20% of the local driving stress, or 15 kPa (Figure 8D). Positive longitudinal stress gradients subsequently decline toward the ice margin, trending to negative values that approach −20 kPa at 60 km. Negative τl acting against the direction of driving stress correspond to a change in curvature of the velocity profile from concave to convex.
Computed with our chosen averaging length scale, resistive stress components are no greater than ~20% of the corresponding driving stress anywhere on the flowline. Consequently, the deviations between basal drag and driving stress remain small (e.g., Figures 8B,E). Similar to the driving stress decline along the flowline, basal drag decreases by nearly 50% from 82 to 44 kPa between 103 and 95 km. Surface speed increases from 54 to 65 m a−1 over the same distance.
Discussion
Force balance and surface velocity
The main conclusion from the force balance calculations is that basal traction balances most of the driving stress, including in the anomalous region where declining driving stress and increasing surface speed coincide. In ice stream settings, coincidence of declining driving stress, and increasing surface velocity has been used to define the onset of streaming flow, where a weak bed supports limited basal shear stress (e.g., Alley and Whillans,
This interpretation, however, hinges on the assumption that ice sheet velocity and geometry are in balance over similar time scales. The datasets used in the force balance analysis span a period of a couple of years (assumptions and limitations of the force balance results are detailed in the Supplemental Material). While the datasets are self-consistent over this period, each likely reflects conditions that are unchanging over a different time scale. Observations show that the study area is not undergoing rapid thinning (Pritchard et al.,
This caveat complicates the interpretation of relationships between driving stress and velocity not just at our study area, but also in any study assimilating ice geometry and velocity into a physical modeling framework. Nevertheless, the unexpected finding that a substantial decline in driving stress is coincident with increasing surface velocity over such a large region (~20 km wide) begs explanation. We next explore processes that could explain this observation, bearing in mind the above caveat.
Enhanced internal deformation
Both direct observations and modeling indicate that in the study areas ablation zone the contribution to ice flow from internal deformation is secondary (see Supplementary Material). Nevertheless, in an effort to explore all possible scenarios, we assess whether enhanced internal deformation could accommodate the observed speed-up, despite declining driving stress. A zeroth order assessment can be achieved by assuming that deformation occurs by laminar flow, and estimating the minimum degree of softening necessary for ice deformation to maintain a constant velocity under reduced driving stress. Integrating the deformation rate through an ice column of thickness H yields the formula for surface velocity (U):
where E is an ill-constrained enhancement factor accommodating rheological changes and A is related to Equation (9) by A = B−n. In the absence of thickness changes, Equation (10) requires that the product of rheological factors E and A increase >6 fold to accommodate the documented drop in driving stress.
Achieving the required six-fold softening through warmer ice alone requires temperature changes that are unsupported by data. For instance, ice at −15°C must warm by 11°C in order to achieve the required softening, but this is contrary to borehole observations which show temperatures are still much colder lower in the ablation zone (Harrington et al.,
Enhanced basal slip
If enhanced deformation is not a viable explanation, then the observed acceleration must result from enhanced basal slip. Knowledge of the thermal state of the ice-bed interface far from the ice sheet margin is lacking. However, there is broad agreement by numerical models that temperate basal conditions extend well inland of the ELA at our study area (Seroussi et al.,
Assuming that temperate basal conditions extend above the ELA at our study region, the increased slip may result from a reduction in bed strength. If the basal substrate is composed of subglacial till, weakening must occur through changes in pore pressure and water saturation (Cuffey and Patterson,
Routing of surface water to the bed is well established lower in the ablation zone, but its inland extent remains unclear. Surface crevasses provide one mechanism facilitating meltwater transport. It has been suggested that conditions promoting crevasse formation are limited to below ~1400 m (Clason et al.,
Although the long term ELA aligns closely with accelerating velocity and declining driving stress, it has exhibited large variability over the past >20 years. Observational records along the nearby K-transect have shown that the annual ELA has varied from ~1400 to 1800 m (van de Wal et al.,
Conclusions
Available datasets of ice geometry and surface speed indicate an unexpected relationship between gravitational driving stress and ice speed in a land terminating region of the western GrIS. Nearly 100 km from the ice sheet margin, driving stress declines by 50% over 20 km. This decline is colocated with an increase in surface speed that is the largest observed along a flowline through the well-studied Isunnguata Sermia drainage catchment. This finding shows that such behavior is not unique to ice stream onset in marine-terminating settings. Through force balance calculations, the effects of resistive stress gradients in modulating driving stress transmission to the bed are assessed. Lateral drag is found to be negligible over this interior region of the ice sheet. Longitudinal stress gradients locally reach 20% of the driving stress, but the declining driving stress is largely taken up by basal drag.
The surface speed for a given gravitational driving stress is a sensitive function of the properties of the ice and processes governing ice flow. At our study area, we find that possible explanatory mechanisms for increased surface motion despite low driving stress are limited to those associated with enhanced basal sliding. We hypothesize that this reflects a change in basal processes associated with the configuration and volume of water at the bed, rather than a transition from frozen to temperate basal conditions. This is supported by the colocation of the surface speed-up with the long term ELA in the study area, below which seasonal routing of surface meltwater to the ice sheet bed is likely.
The study area is defined by high ablation rates and low accumulation, owing to the blocking of southwesterly atmospheric moisture flow from the nearby Sukkertoppen ice cap (Ohmura and Reeh,
Funding
This work is funded by SKB, NWMO, Posiva Oy, NAGRA, and NSF (PLR-ANS grants #1203418 and #0909495, PLR grant #1543533).
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Statements
Author contributions
TM developed the project and performed all analysis and calculations. JH and JJ guided project development through collaborative discussions. All authors contributed to the writing of the manuscript.
Acknowledgments
We thank the scientific editor FN, and reviewers SA, and SFP for comments which substantially improved the manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/feart.2016.00087
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Summary
Keywords
ice sheet dynamics, basal processes, driving stress, force balance, Greenland ice sheet
Citation
Meierbachtol T, Harper J and Johnson J (2016) Force Balance along Isunnguata Sermia, West Greenland. Front. Earth Sci. 4:87. doi: 10.3389/feart.2016.00087
Received
05 April 2016
Accepted
05 September 2016
Published
21 September 2016
Volume
4 - 2016
Edited by
Felix Ng, University of Sheffield, UK
Reviewed by
Surendra Adhikari, NASA Jet Propulsion Laboratory, USA; Stephen Frederick Price, Los Alamos National Laboratory, USA
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© 2016 Meierbachtol, Harper and Johnson.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Toby Meierbachtol toby.meierbachtol@umontana.edu
This article was submitted to Cryospheric Sciences, a section of the journal Frontiers in Earth Science
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