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Temporal evolution of surface and grain boundary area in artificial ice beads and implications for snow chemistry

Published online by Cambridge University Press:  08 September 2017

F. Riche
Affiliation:
WSL Institute for Snow and Avalanche Research SLF, Davos-Dorf, Switzerland E-mail: [email protected]
T. Bartels-Rausch
Affiliation:
Paul Scherrer Institute, Villigen, PSI, Switzerland
S. Schreiber
Affiliation:
Paul Scherrer Institute, Villigen, PSI, Switzerland
M. Ammann
Affiliation:
Paul Scherrer Institute, Villigen, PSI, Switzerland
M. Schneebeli
Affiliation:
WSL Institute for Snow and Avalanche Research SLF, Davos-Dorf, Switzerland E-mail: [email protected]
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Abstract

Type
Correspondence
Copyright
Copyright © International Glaciological Society 2012

Surface snow is a chemically active medium (Reference Domine and ShepsonDomine and Shepson, 2002). It exerts a major effect on overall snow chemistry and can alter the composition of the overlying air mass. This in turn can affect air quality and climate (Reference GrannasGrannas and others, 2007). Chemically reactive trace gases and impurities are typically located on the surface of ice and in grain boundaries (GBs) (Reference DomineDomine and others, 2008). Field and laboratory measurements have shown that the morphology and surface area (SA) of ice crystals strongly influence trace gas exchange with the atmosphere during snow metamorphism (Reference DomineDomine and others, 2008). The exact role of GBs in snow and ice chemistry, however, is not well understood (Reference DomineDomine and others, 2008;Reference Barret, Houdier and DomineBarret and others, 2011). Earlier work concerning the adsorption of acetone onto packed single-crystalline ice and packed ice beads did not specifically address the role of GBs in surface chemistry (Reference Bartels-Rausch, Guimbaud, Gaggeler and AmmannBartels-Rausch and others, 2004).

We define a GB as an interface between two ice crystals aligned in different crystal orientations. The observation that acidic trace gases accumulate along GBs in natural snow has led to the suggestion that GBs provide an extensive surface area for reactions with trace gases and impurities (Reference Mulvaney, Wolff and OatesMulvaney and others, 1988;Reference Huthwelker, Ammann and PeterHuthwelker and others, 2006). The total grain boundary area (GBA) is therefore an important chemical parameter of snow.

Artificial ice beads are often used as a substitute for natural snow in laboratory experiments. This correspondence reports the structural evolution of ice beads stored at two constant temperatures (-5°C and -20°C) over a 7 month period. We measured volume density and specific surface area (SSA) with X-ray tomography (mCT). The GBA was characterized using polarized light microscopy and stereology. The artificial snow consisted of ice beads measuring 0.5-0.6mm in diameter, similar to those used in laboratory experiments concerning the partitioning of trace gases between ice and air (Reference Bartels, Eichler, Zimmermann, Gaggeler and AmmannBartels and others, 2002;Reference Bartels-Rausch, Guimbaud, Gaggeler and AmmannBartels-Rausch and others, 2004;Reference Kerbrat, Huthwelker, Gaggeler and AmmannKerbrat and others, 2010). Accurate determinations of the SSA and density of samples are critical in comparing the structure of the artificial material to that of natural snow. Hitherto, the role of GBA in uptake of trace gases and other reactions has been largely a matter of speculation (Reference Kerbrat, Huthwelker, Gaggeler and AmmannKerbrat and others, 2010).

In atmospheric science, the term GB refers exclusively to ice-ice interfaces. The different types of interfaces described here are shown in Figure 1. The GBA is geometrically measured as the diameter of the neck between individual ice beads (Reference Theile and SchneebeliTheile and Schneebeli, 2011). The visible neck is often one of several types of GB present in a given sample. We differentiated between GBs evident as visible necks and GBs inside the ice beads that are not geometrically evident. This second type of GB is referred to as an internal GB. The total area covered by internal GBs defines an internal grain boundary area (IGBA). The ice beads used here were mainly polycrystalline. In natural snow, polycrystalline morphology is characteristic of wet or wind-transported snow. Snow composed of small rounded grains is typically monocrystalline.

Fig. 1. Polarized light images of ice beads. The blue ellipse indicates an example of internal grain boundary area (IGBA), the red ellipse indicates grain boundary area (GBA; between two ice beads) and the green ellipse indicates surface area (SA; interface between ice and air). Both monocrystalline and polycrystalline beads are present.

The ice beads were prepared from Milli-Q-water droplets frozen in liquid nitrogen. Following freezing, ice beads were immediately sieved to collect the 0.5-0.6mm diameter fraction. The ice beads were loaded into mCT-specific sample cylinders 20mm in diameter and 5cm high, and into 3 cm x 1 cm containers used for thin-section mounting and microscopic analysis. Samples were then separated into two fractions stored at temperatures of-5°C and -20°C. Both fractions were stored in isothermal boxes that maintained constant temperatures in and around the samples to adjust for small temperature variations within the storage freezer. Sample storage followed the same protocol used by Reference Lowe, Spiegel and SchneebeliLowe and others (2011). Each month, samples from the -5°C and -20°C fractions were retrieved for mCT scanning and microscopic analysis.

Samples remained in the initial sample containers throughout the experiment in order to prevent disturbance. For mCT analysis, the sample container was placed in a secondary sample holder (20 mm diameter) and then loaded into the mCT. The three-dimensional image resolution was 10 mm over a 4.16 x 4.16 x 4.16 mm3 sample volume. The SSA and the volume density of the samples were determined according to methods used by Reference Kerbrat, Pinzer, Huthwelker, Gaggeler, Ammann and SchneebeliKerbrat and others (2008).

Three thin sections were evaluated per sample. Thin sections were prepared using uniform vertical section sampling and imaged under polarized light. Approximately 20 images were collected per thin section and analysed stereologically. This technique captured structures containing 180-250 ice beads per sample. The specific area per volume of the structure of interest is given by

where I is the number of intersections between the test lines and the structure of interest - SA, GBA or IGBA − l/p is the length of the test line per point, and P ice is the number of touch points within the ice structure (methods detailed in Reference Tschanz, Burri and WeibelTschanz and others, 2011;Riche and Schneebeli, in press). To obtain the specific area per ice volume (cm2 g-1), specific area S ice (m-1) is divided by p ice, where p ice is the density of ice (gcm-3).

Temporal Evolution Of Ice Structure

We found that both polycrystalline and monocrystalline morphologies were present in the ice-bead samples throughout the 27 week observation period (Fig. 1). The percentage of polycrystalline ice beads (polycrystalline ice beads/total number of ice beads) remained constant between 60% and 70% for both the -5°C and -20°C sample sets.

SSA decreased by 10-20% at the beginning of the observation period (from 12 mm-1 to 8-9 mm-1) and exhibited similar patterns for both storage temperatures (Fig. 2). We estimate SSA measurement error to be ~5%. Snow composed of small rounded grains has been shown to have similar SSA values. Reference Kaempfer and SchneebeliKaempfer and Schneebeli (2007) and Reference Lowe, Spiegel and SchneebeliLowe and others (2011) reported SSA values of 9-12 mm-1 for snow having a volume density of 50%. These earlier studies also found that the SSA of rounded-grain snow decreased over time (Reference Kaempfer and SchneebeliKaempfer and Schneebeli, 2007;Reference Lowe, Spiegel and SchneebeliLowe and others, 2011).

Fig. 2. Evolution of SSA for ice beads stored at _5°C and _20°C.

We measured specific grain boundary areas (SGBAs) ranging from 1 to 2 mm-1. This parameter showed no detectable change during the experiment. The specific internal grain boundary area (SIGBA) was initially ~8.5 mm-1 and decreased by almost 40% to ~5 mm-1 after 27 weeks (Fig. 3). We estimated the error in SGBA measurements to be 5-10%. The total SGBA (SGBA + SIGBA) ranged from 7 to 9 mm-1. We compared GBA measurements from the laboratory ice beads with those of natural snow. Snow composed of small rounded grains had a total specific GBA of 2-3 mm-1, which is one-third of the corresponding values measured for the ice beads. The ice beads had approximately the same volumetric density as the natural rounded-grain snow.

Fig. 3. Evolution of specific GBA for ice beads stored at –58C and –208C. SGBA: specific grain boundary area; SIGBA: specific internal grain boundary area.

We found that GBs at neck sites remained mostly unchanged throughout the experiment. The IGBA, however, fell by ~-40% during the first 15 weeks, with no measurable change afterwards. The decrease in IGBA for the polycrystalline ice beads is probably due to GB migration. The surface energy of the smaller internal grains is much larger than that of the large grains, and larger grains may encapsulate smaller grains (Reference Berry, Bernholc and SalamonBerry and others, 1991;Reference Gottstein, Molodov and ShvindlermanGottstein and others, 1998; Reference Schonfelder, Gottstein and ShvindlermanSchonfelder and others, 2005).

Hypothetical trace gas diffusion into GBs (Reference Huthwelker, Ammann and PeterHuthwelker and others, 2006) would depend on the extent of GBs and their evolution with time. Analysis of these two factors facilitates the extrapolation of laboratory results to conditions in the natural environment. The polycrystalline structure of the ice beads is likely to produce a greater number of GBs relative to the monocrystalline structure of natural snow (Reference Takahashi and FujinoTakahashi and Fujino, 1976). Ice beads apparently have approximately the same GBA as natural snow. Polycrystalline ice, however, is likely to differ from natural snow in terms of its IGBA. The GBA and IGBA exert similar effects on the chemical properties of ice and snow, but IGBA is not geometrically visible. The contrasting IGBA of ice beads and natural rounded-grain snow provides important constraints for experiments concerning snow types with similar SSA but different GBA.

Our experiments also indicate that IGBA evolves primarily during an initial 10-15 week period, with little change observed in the ensuing weeks and months. Different batches of ice beads may vary in their adherence to these findings, and thus require careful monitoring of initial experimental conditions. Large batches of ice beads, however, are expected to show consistent internal structure after 10-15 weeks.

Acknowledgements

The Swiss National Science Foundation funded this work through SNF grant 200020_125179.

12 April 2012

References

Barret, M, Houdier, S and Domine, F (2011) Thermodynamics of the formaldehyde-water and formaldehyde-ice systems for atmospheric applications. J. Phys. Chem. A, 115(3), 307-317 (doi: 10.1021/jp108907u)Google Scholar
Bartels, T, Eichler, B, Zimmermann, P, Gaggeler, HW and Ammann, M (2002) The adsorption of nitrogen oxides on crystalline ice. Atmos. Chem. Phys., 2(3), 235-247 (doi: 10.5194/acp-235-2002)CrossRefGoogle Scholar
Bartels-Rausch, T, Guimbaud, C, Gaggeler, HW and Ammann, M (2004) The partitioning of acetone to different types of ice and snow between 198 and 223 K. Geophys. Res. Lett., 31(16), L16110 (doi: 10.1029/2004GL020070)Google Scholar
Berry, RS, Bernholc, J and Salamon, P (1991) Disappearance of grain boundaries in sintering. Appl. Phys. Lett., 58(6), 595-597 (doi: 10.1063/1.105222)Google Scholar
Domine, F and Shepson, PB (2002) Air-snow interactions and atmospheric chemistry. Science, 297(5586), 1506-1510 (doi: 10.1126/science.1074610)Google Scholar
Domine, F and 7 others (2008) Snow physics as relevant to snow photochemistry. Atmos. Chem. Phys., 8(2), 171-208 (doi: 10.5194/acp-8-171-2008)Google Scholar
Gottstein, G, Molodov, DA and Shvindlerman, LS (1998) Grain boundary migration in metals: recent developments. Interface Sci., 6(1-2), 7-22 (doi: 10.1023/A:1008641617937)CrossRefGoogle Scholar
Grannas, AM and 34 others (2007) An overview of snow photochemistry: evidence, mechanisms and impacts. Atmos. Chem. Phys, 7(16), 4329-4373 (doi: 10.5194/acp-7-4329-2007)Google Scholar
Huthwelker, T, Ammann, M and Peter, T (2006) The uptake of acidic gases on ice. Chemlnform, 37(25) (doi: 10.1002/ chin.200625216)Google Scholar
Kaempfer, TU and Schneebeli, M (2007) Observation of isothermal metamorphism of new snow and interpretation as a sintering process. J. Geophys. Res., 112(D24), D24101 (doi: 10.1029/ 2007JD009047)Google Scholar
Kerbrat, M, Pinzer, B, Huthwelker, T, Gaggeler, HW, Ammann, M and Schneebeli, M (2008) Measuring the specific surface area of snow with X-ray tomography and gas adsorption: comparison and implications for surface smoothness. Atmos. Chem. Phys., 8(5), 1261-1275 (doi: 10.5194/acp-8-1261-2008)CrossRefGoogle Scholar
Kerbrat, M, Huthwelker, T, Gaggeler, HW and Ammann, M (2010) Interaction of nitrous acid with polycrystalline ice: adsorption on the surface and diffusion into the bulk. J. Phys. Chem. C, 114(5), 2208-2219 (doi: 10.1021/jp909535c)CrossRefGoogle Scholar
Lowe, H, Spiegel, JK and Schneebeli, M (2011) Interfacial and structural relaxations of snow under isothermal conditions. J. Glaciol., 57(203), 499-510 (doi: 10.3189/ 002214311796905569)CrossRefGoogle Scholar
Mulvaney, R, Wolff, EW and Oates, K (1988) Sulphuric acid at grain boundaries in Antarctic ice. Nature, 331(6153), 247-249 (doi: 10.1038/331247a0)Google Scholar
Riche, F and Schneebeli, M (in press) Design-based stereology to quantify structural properties of artificial and natural snow using thin sections. Cold Reg. Sci. Technol. (doi: 10.1016/ j.coldregions.2012.03.008)Google Scholar
Schonfelder, B, Gottstein, G and Shvindlerman, LS (2005) Comparative study of grain-boundary migration and grain-boundary selfdiffusion of twist-grain boundaries in copper by atomistic simulations. Acta Mater., 53(6), 1597-1609 (doi: 10.1016/ j.actamat.2004.12.010)Google Scholar
Takahashi, Y and Fujino, K (1976) Crystal orientation of fabrics in a snow pack. Low Temp. Sci., Ser. A 34, 71-78 Google Scholar
Theile, T and Schneebeli, M (2011) Algorithm to decompose threedimensional complex structures at the necks: tested on snow structures. IET Image Process., 5(2), 132-140 (doi: 10.1049/ iet-ipr.2009.0410)Google Scholar
Tschanz, SA, Burri, PH and Weibel, ER (2011) A simple tool for stereological assessment of digital images: the STEPanizer. J. Microsc., 243(1), 47-59 (doi: 10.1111/j.1365-2818.2010. 03481.x)Google Scholar
Figure 0

Fig. 1. Polarized light images of ice beads. The blue ellipse indicates an example of internal grain boundary area (IGBA), the red ellipse indicates grain boundary area (GBA; between two ice beads) and the green ellipse indicates surface area (SA; interface between ice and air). Both monocrystalline and polycrystalline beads are present.

Figure 1

Fig. 2. Evolution of SSA for ice beads stored at _5°C and _20°C.

Figure 2

Fig. 3. Evolution of specific GBA for ice beads stored at –58C and –208C. SGBA: specific grain boundary area; SIGBA: specific internal grain boundary area.