Introduction

On polar ice sheets the surface snow and firn forms a layered and porous medium that remains permeable to gases over depths of many tens of meters. Local surface conditions affect the generation and transformation of the snow and firn column; the temperature by affecting the rate of densification, and the accumulation rate by forming the layering and determining the time the snow is exposed to insolation and temperature gradients at the surface. Single snow layers are created by depositional events and consist of very different snow types, leaving a highly stratified firn pack (Reference GowGow, 1965; Reference Alley, Bolzan and WhillansAlley and others, 1982; Reference Palais, Whillans and BullPalais and others, 1982; Reference AlleyAlley, 1988). Since the properties of the different snow layers are very distinct in grain and pore size, forming diverse stratigraphic horizons (Reference Palais, Whillans and BullPalais and others, 1982), they transform differently in applied temperature gradients and load (Reference Alley, Bolzan and WhillansAlley and others, 1982).

The microstructure of surface snow and the stratigraphic and grain-scale characteristics vary spatially with varying accumulation rates on the East Antarctic ice sheet (Reference WatanabeWatanabe, 1978; Reference Shiraiwa, Shoji, Saito, Yokoyama and WatanabeShiraiwa and others, 1996), as does the air permeability (Reference Courville, Albert, Fahnestock, Cathles and ShumanCourville and others, 2007). However, it is not clear how short-term changes in temperature or accumulation rate are reflected in the firn properties over time, as subsequent burial moves layers down through the firn column. For a relatively high-accumulation site in West Antarctica, Reference Rick and AlbertRick and Albert (2004) discuss the impact of temperature and accumulation rate, on seasonal and decadal scales, on the permeability and microstructure of firn. Reference Albert, Shuman, Courville, Bauer, Fahnestock and ScambosAlbert and others (2004) report that low accumulation rates, in areas like the East Antarctic plateau, cause extreme firn metamorphism, due to the length of time the snow is exposed to insolation and wind at the surface. Small differences in accumulation rate create very large differences in microstructure, permeability and thermal conductivity in the top meters of firn, which leave an enduring record as the firn becomes buried (Reference Rick and AlbertRick and Albert, 2004; Reference Courville, Albert, Fahnestock, Cathles and ShumanCourville and others, 2007). The occurrence of highly permeable and porous layers at greater depths in the megadunes area documents that a change in climate conditions would influence both the microstructure and the permeability. At least at cold, low-accumulation sites, a signature of changing accumulation rate is maintained in the microstructure and air permeability of the firn column.

Earlier studies addressing polar snow microstructure used thin or thick sections from firn samples to obtain information about the microstructure (Reference GowGow, 1969; Reference Alley, Bolzan and WhillansAlley and others, 1982; Reference Rick and AlbertRick and Albert, 2004). This technique enabled only a two-dimensional analysis, and the quantitative microscopy is limited (Reference Davis, Arons, Albert, Wolff and BalesDavis and others, 1996). Recently, X-ray micro-tomography has been used to study alpine or artificial, sampled or sieved snow, observed for different time intervals in the laboratory (Reference Flin, Brzoska, Lesaffre, Coléou and PieritzFlin and others, 2004; Reference Schneebeli and SokratovSchneebeli and Sokratov, 2004; Reference Kaempfer, Schneebeli and SokratovKaempfer and others, 2005; Reference Kaempfer and SchneebeliKaempfer and Schneebeli, 2007). In experimental set-ups for isothermal metamorphism (Reference Flin, Brzoska, Lesaffre, Coléou and PieritzFlin and others, 2004; Reference Kaempfer and SchneebeliKaempfer and Schneebeli, 2007), temperature gradient metamorphism (Reference Schneebeli and SokratovSchneebeli and Sokratov, 2004) and micromechanical studies (Reference Pieritz, Brzoska, Flin, Lesaffre and ColéouPieritz and others, 2004), it has been shown that snow can be correctly described using microtomography and image-analysis tools (Reference Coléou, Lesaffre, Brzoska, Ludwig and BollerColéou and others, 2001).

In this study, for the first time, microtomography is used to profile polar firn with varying layers and properties. A 15 m long firn core drilled during the US ITASE (International Trans-Antarctic Scientific Expedition) campaign 2002 at Hercules Dome is used to investigate the snow and firn microstructure and air permeability. Hercules Dome is situated at 86° S, 105° W, with relatively high accumulation rates of 0.16–0.20 m w.e. a⁻¹ over the last 300 years and low temperatures of −35 to −40°C (Reference Jacobel, Welch, Steig and SchneiderJacobel and others, 2005). Permeability measurements and microtomography are used to describe the evolution of the microstructure with time and depth. We observe a stratigraphically induced high variability in microstructure and air permeability and a distinct anisotropy of the firn throughout the profile. In addition, influences that induce variations of the firn characteristics over a longer-term trend (and hence, across multiple layers) impact the anisotropy and air-permeability profile. These longer-term variations are superposed on the layering and the changes that occur with depth due simply to layer deposition, densification and other processes. By considering the time the snow is exposed to near-surface conditions, we can link these variations to short-term changes in the accumulation rate. Our results confirm that changes in accumulation rate leave a signature in the firn permeability and microstructure as the firn becomes buried.

Methods

The firn-core permeability was measured following the procedures described by Reference Albert, Shultz and PerronAlbert and others (2000), Reference Rick and AlbertRick and Albert (2004) and Reference CourvilleCourville (2007). The measurements were applied at 220 homogeneous firn-core sections, as identified on a light-table, of 3–10 cm length. Due to poor core quality, no permeability data were available in several intervals of the uppermost 2 m and at 8.5–9.5 m depth. Homogeneous coarse-, fine- and medium-grained layers, distinguished by visual inspection of the grain size relative to the surrounding layers, were sampled in every depth interval of the firn core for further analysis. Microstructural properties of the firn grain and pore space were obtained at −25°C by X-ray microtomography using a micro-CT (computed tomography) scanner (1074 SkyScan) inside a cold room. A charge-coupled device (CCD) camera of 768 × 512 pixels and 256 grey levels was used as an X-ray detector. Cylindrical snow and firn samples of 2 cm diameter and height were drilled out of the main core with a hole saw. The sample was placed on a turntable in front of the source, and was rotated in 0.9° intervals during scanning. A set of 210 shadow images was captured while the rotation completed a semicircle.

A convolution algorithm with a back projection for fan beams transformed the shadow images into a series of horizontal cross-sections representing the three-dimensional (3-D) structure of the snow. The resolution as well as the distance between adjacent reconstructed images was 40 μm, so the object was displayed by a 3-D grid of grey image values (voxels) with a spacing of 40 μm in the x, y and z directions. For digital image analysis a cubic region of 16 mm side length (leaving 400 × 400 × 400 voxels) was chosen out of the cylindrical sample. A sample 3-D image is shown in Figure 1. The image size is large enough to sufficiently represent the firn properties (Reference HörholdHörhold, 2006; Reference Freitag, Kipstuhl and FariaFreitag and others, 2008).

Fig. 1.

A reconstructed firn cube with side length 16 mm showing the pore phase from 2.5 m depth. White is the pore phase; voids represent the ice grains.

The image-processing and analysis procedures were conducted with MAVI (Modular Algorithm for Volume Images), a software for analyzing 3-D material, developed by the Fraunhofer Institute (Reference Armbrecht and SychArmbrecht and Sych, 2005). After application of filter and segmentation procedures, an additional object filter was used to remove all objects adding less than 1% to the total pore or ice volume.

All parameters were obtained and analyzed referring to the volume of the firn cube. The porosity of a sample is given by the ratio of void representing voxels to the total voxel number of the firn cube. A measure for grain and pore size is the grain- and pore-chord length, defined as the mean intersection of a line with the object being the void or the grain in different directions (Reference Ohser and MücklichOhser and Mücklich, 2000). The measurement of the surface area and the integral of mean curvature is based on the application of the so-called Crofton’s intersection formulae (Reference Ohser and MücklichOhser and Mücklich, 2000; Reference Armbrecht and SychArmbrecht and Sych, 2005). The surface density represents the ratio of the ice–air surface and the corresponding volume of the ice phase. Small-grained snow from the near surface will have a larger surface density than sintered, well-rounded snow deeper down the firn column. The integral of mean curvature is defined as the mean of the minimum and maximum curvature at each surface element, integrated over the whole surface of the volume (Reference Ohser and MücklichOhser and Mücklich, 2000). It therefore is a measure of the curvature of the ice phase’s structure and displays the size and roundness of the ice matrix. Divided by the number of voxels of each sample, we obtain a mean value for the sample, so negative values represent a mean of concave forms, and positive values a mean of convex forms within the firn cube. Dendritic crystals will show negative values and large, smooth surfaces result in curvature values around zero.

The strength of MAVI is that it enables the 3-D study of structure characteristics related to the surface density. Each surface element of a microstructural component can be represented by a surface-normal vector with its specific direction. The surface-normal distribution displays the directional distribution of all surface-normal vectors. Apart from gravitational settling along the z axis in the snow, vertical temperature gradients result in vertical water-vapor transport within the snowpack. Thus a preferential direction of the texture is to be expected in the vertical direction, and isotropic behaviour in the horizontal direction. Therefore in this paper we study the fraction of surface-normal vectors orientated in two horizontal and the vertical directions with an apex angle of 30° (Reference Armbrecht and SychArmbrecht and Sych, 2005). We take the ratio of the fractions of the horizontal directions (the mean of the two horizontal fractions) and the vertical direction (s-n fraction). The ratio for an istotropic texture such as a sphere will be 1, whereas the ratio of a texture elongated within the horizontal plane will be >1, and a texture elongated in the vertical plane will be <1 (Reference Ohser and MücklichOhser and Mücklich, 2000).

Depending on the length of the core pieces (3–10 cm, as designated on the light-table), two to five subsamples were analyzed by micro-CT and averaged, representing the microstructure of that specific layer. In order to study larger-scale features, a running mean was applied with a window length covering several layers and weighting the points by the number of measured subsamples.

Density measurements within the uppermost 2.5 m of firn were used to convert this to a water equivalent depth of 0.9 m. Measured accumulation rates (personal communication from D. Dixon, 2006) were then used to calculate the time taken for a snow layer to be buried to a depth of 2.5 m.

Results

At Hercules Dome for the most recent 60 year accumulation estimates, based on chemical analysis and density measurements, a mean accumulation rate of approximately 0.12 m w.e. a⁻¹ is observed (Fig. 2a). The calculated residence time within the uppermost 2.5 m shows a peak near 6 m depth, a local minimum below, a second peak near 8.5 m depth, and then generally decreases, with a local maximum near 12 m depth (Fig. 2a).

Fig. 2.

(a) The accumulation rate as obtained by chemical analysis together with the calculated residence time in the uppermost 2.5 m and (b) the measured air permeability. The black curve is the running mean average over the different layers, starting from 2.5 m.

The results for permeability are shown in Figure 2b, and microstructural characteristics are shown in Figure 3. We observe a large variability of all parameters due to the layering of the firn. For the chord length in grain size and pore space (Fig. 3a and b) we find clearly larger values for the vertical than for the two horizontal directions. The ratio of the normal vector fractions is plotted in Figure 3f. A ratio of 1 indicates isotropy. Values less than 1, as found here, show that more surface-normal vectors point in the horizontal plane than in the vertical plane. The firn texture is vertically anisotropic.

Fig. 3.

(a, b) The mean grain (a) and pore (b) chord lengths in x, y and z directions. Dark curves represent the running mean (grey for horizontal; black for vertical). (c–f) The porosity (c), surface density (d), mean curvature (e) and ratio of the normal vector fractions s-n (f),

In order to display the long-term trend, the running mean is calculated for all parameters (Figs 2b and 3). For the permeability we find an increase until 2.5 m depth. The permeability below is decreasing, but shows two local maxima near 6 and 12 m depth (Fig. 2b). Both the grain size and the pore size increase rapidly until 2–3 m depth. Below, the pore size decreases slowly (Fig. 3a and b). Whereas the porosity almost linearly decreases with depth (Fig. 3c), surface density and the mean of the integral of mean curvature rapidly decrease and increase respectively until 2 m depth, continuing their trend, but at more gradual rates, below this (Fig. 3d and e). For the anisotropy we find an increase until 2–3 m depth, and then a decrease, but with a region of low anisotropy between 7 and 8 m depth followed by a region of increased anisotropy near 10 m depth (Fig. 3f).

The increase in the chord lengths and the mean of the integral of mean curvature and the decrease of surface density imply coarsening of the texture until 2–3 m depth, accompanied not only by maximum permeability and pore size but also by maximum anisotropy. Here we refer to coarsening of firn as a general increase in both the grain size and the pore size. Below that, densification becomes significant, and continued gradual metamorphism decreases pore size and porosity while continuously increasing the grain size. At this site the firn is highly stratified, with each layer showing very different properties in terms of microstructure, permeability and development of anisotropy. The illustrated variation in the longer-term trends, particularly in the permeability and anisotropy profiles, is not related to the layering but to longer-term processes.

Anisotropy

At Hercules Dome the maximum degree of anisotropy is reached at approximately 2.5 m depth (Fig. 3d). However, in contrast to previous studies (Reference AlleyAlley, 1987), we find that anisotropy does exist below that, though it tends to decrease with depth. Moreover, these data show that anisotropy does not decrease in monotonic fashion, but rather that there are depths at which anisotropy is strongly pronounced and other depths at which it is not.

Reference YosidaYosida and others (1955) and Reference ColbeckColbeck (1983) introduced models of oriented crystal growth. In natural snow subjected to changes in weather, temperature gradients are mostly oriented in the vertical direction. The temperature gradients then induce gradients in water-vapor transport. Crystals grow by condensation of water vapor on their bottom portions, because the bottom of a growing particle is cold relative to the average snow temperature at its height (Reference ColbeckColbeck, 1983). Reference Alley, Bolzan and WhillansAlley and others (1982) found that crystals in coarse firn exhibit a strong vertical shape orientation near the surface, which can be attributed to the strong vertical water-vapor and heat transport.

On the other hand, Reference Schneebeli and SokratovSchneebeli and Sokratov (2004) found in temperature gradient experiments with different snow layers that anisotropy occurred in dense, fine-grained layers, whereas low-density layers exposed to similar gradients did not show an anisotropy texture after the same time interval. Our data support these observations: we find highly porous layers to be less anisotropic than less porous layers in the same depth interval. The small-scale variability in the anisotropy profile is probably controlled by the different formation of anisotropy in the different layers.

Accumulation Rate and Residence Time

From the microstructure and permeability data we can conclude that despite the very different properties of the different layers in terms of permeability and anisotropy, the larger-scale features shape the evolution with depth. These features are visible in both the low- and high-permeability layers and in the low-and high anisotropy layers respectively. The observed variability does not originate from the layering nor the linear compaction with depth. Changes in the metamorphic regime must be the basic cause. A major parameter determining the metamorphism is the impact of the accumulation rate, which, however, is difficult to parameterize since it superimposes the effects of the layering and densification.

The maximum in coarsening, permeability and anisotropy is obtained by 2.5 m depth, while below that, densification combined with slow grain growth appears to become important. It appears that, at this site, as long as a certain layer stays in the uppermost 2.5 m, it is exposed to significant temperature gradients, periodically higher annual temperatures and metamorphically induced coarsening. We hypothesize that the degree of coarsening, permeability and anisotropy of each layer deeper down the firn column is designated by the degree of these parameters at 2.5 m depth. In turn the degree at 2.5 m depth results from the history between 0 and 2.5 m depth, i.e. the time spent in the near-surface area. This residence time depends only on the accumulation rate.

We test the possibility that the time that snow spends in the near surface influences its permeability and anisotropy at depth, by using the density to calculate residence time in the near surface (Fig. 2a). Since the accumulation rate and thus the residence time were calculated on different scales and samples than the microstructure and permeability, here we can only compare the evolution with depth of these two different parameter sets (Fig. 4a and b).

Fig. 4.

The residence time with mean anisotropy (a) and air permeability (b).

An examination of the residence time in comparison with the average anisotropy in Figure 4a shows that it is the zone between 7 and 8 m where the surrounding long residence times are briefly interrupted by a phase of decreased residence time. When the firn at 7–8 m depth in this firn core was near-surface snow, it did indeed spend less time in the near surface. The shorter time that it spent in the near-surface region of higher temperature gradients means that it was less exposed to rapid metamorphic processes. The result is that the firn structure at 7–8 m shows low vertical anisotropy (Fig. 4a). As shown in Figure 4a, the residence time in the near-surface area decreases below 10 m depth and thus results in a less anisotropic character. The features of very short residence time around 11 m and at 13–14 m are not reflected in anisotropy.

In Figure 4b the measured air permeability is shown, together with the residence time. The peak in permeability at 2.5 m depth is due to the maximum of coarsening. Similar increases in permeability down to 2–4 m have been reported previously at different high-accumulation polar sites (Reference Albert, Shultz and PerronAlbert and others, 2000; Reference Albert and ShultzAlbert and Schulz, 2002; Reference Rick and AlbertRick and Albert, 2004). The second maximum around 6 m depth and at 11–12 m can again be linked to the residence time. Increased residence time strengthens the connectivity of the pore space and by that the air permeability of the firn. The residence-time minima at 7 and 11 m coincide with distinct permeability minima. Nevertheless there are areas where a correlation is not apparent, such as the decrease in permeability above 6 m, even though the residence time is increasing.

Not all changes in residence time are displayed in the analyzed microstructural parameters, especially at greater depths. Additionally the anisotropy and the air permeability of the firn clearly behave differently with regard to the residence time (Fig. 4a and b). Accordingly, other processes contribute to the evolution of firn properties with depth; the mechanisms for the genesis of anisotropy and permeability differ at depths below several meters in firn. Reference CourvilleCourville (2007) observed a much larger impact of small changes in accumulation pattern on microstructure and permeability in regions of very low accumulation than in regions of high accumulation. This might be one explanation for the less pronounced influence of changes in accumulation rate in the deeper firn layers, where the correlated accumulation rate was higher than in the uppermost meter. On the other hand, Reference Rick and AlbertRick and Albert (2004) show that the growth of necks between the grains is the dominant mechanism for permeability reduction at depths between approximately 2 and 10 m, and that a warming of temperatures over time would also impact metamorphism at this depth. Thus, the top ∼10 m of firn is subject to a number of effects that would be reflected in the permeability of buried layers, including trends in surface temperature and accumulation rates. The calculated residence time is an integrated measure over the uppermost 2.5 m. We do not know the residence time of individual layers (e.g whether a certain layer has spent a certain fraction of the time in the very uppermost centimeters and might therefore be exposed to large temperature gradients, or whether it monotonically became buried below 2.5 m depth). Anisotropy is probably mainly generated within the upper few centimeters below the surface, where temperature gradients are largest. Permeability, on the other hand, could be the result of longer-term processes such as the interaction of air ventilation and coarsening, which increase the pore size or pore connectivity when densification does not overrule the effect. This seems to be the case in the upper 2.5 m at this site. Thus more differentiated residence times for different depth intervals need to be investigated.

Conclusion

The highly layered polar firn reflects the occurrence of metamorphism of different snow types at large timescales and under constantly changing environmental conditions. At Hercules Dome, the maximum in our permeability measurements from this site is consistent with measurements at other sites (Reference Albert, Shultz and PerronAlbert and others, 2000; Reference Albert and ShultzAlbert and Shultz, 2002; Reference Rick and AlbertRick and Albert, 2004) showing a permeability maximum near ∼2.5 m depth. Our first results from 3-D microtomography scan imaging of polar firn show that this is accompanied by general firn coarsening (increase in both grain size and interstitial pore space) in this region. Below that, other processes including grain growth, necking and compaction influence the metamorphism of the microstructure. The texture of the firn shows distinct anisotropy throughout the profile, which is a result of vertical temperature gradients and subsequent water-vapor gradients. Short-term changes in accumulation rate affect the residence time of certain firn layers in the uppermost meter of the firn column, where rapid metamorphism takes place and the largest temperature gradients occur. We found a clear signature of changing accumulation rate in the firn-anisotropy and air-permeability profiles in the firn below approximately 5 m depth. Our data confirm that even though the effects of changes are most pronounced in the near surface, they remain evident through time as the firn becomes buried, even at this high-accumulation site.