Instruments and Methods
Techniques for measuring high-resolution firn density profiles: case study from Kongsvegen, Svalbard Journal of Glaciology, Vol. 54, No. 186, 2008 463 Instruments and Methods Techniques for measuring high-resolution firn density profiles: case study from Kongsvegen, Svalbard Robert L. HAWLEY,1 Ola BRANDT,2 Elizabeth M. MORRIS,1 Jack KOHLER,2 Andrew P. SHEPHERD,3 Duncan J. WINGHAM4 1Scott Polar Research Institute, University of Cambridge, Lensfield Road, Cambridge CB2 1ER, UK E-mail: rlh45@cam.ac.uk 2Norwegian Polar Institute, Polar Environmental Centre, NO-9296 Tromsø, Norway 3Department of Geography, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK 4Centre for Polar Observation and Modelling, University College London, Gower Street, London WC1E 6BT, UK ABSTRACT. Onan11mfirn/icecore fromKongsvegen,Svalbard,wehaveuseddielectricprofiling(DEP) to measure electrical properties, and digital photography to measure a core optical stratigraphy (COS) profile. We also used a neutron-scattering probe (NP) to measure a density profile in the borehole from which the core was extracted. The NP- and DEP-derived density profiles were similar, showing large- scale (>30cm) variation in the gravimetric densities of each core section. Fine-scale features (<10cm) are well characterized by the COS record and are seen at a slightly lower resolution in both the DEP and NP records, which show increasing smoothing. A combination of the density accuracy of NP and the spatial resolution of COS provides a useful method of evaluating the shallow-density profile of a glacier, improving paleoclimate interpretation, mass-balance measurement and interpretation of radar returns. 1. INTRODUCTION Thesnowdensificationprocess isof fundamental importance in many aspects of glaciology, including regional climat- ology, watershed runoff forecasting and interpretation of ice-surface elevation changes. In particular, high-resolution density profiles are critical for accurate modelling and in- terpretation of ground-penetrating radar (GPR) returns. In climatology studies, the thickness and frequency of refrozen melt layersareusedto infersummerclimateconditions (Oku- yama and others, 2003), highlighting the importance of detecting thin ice layers in a density profile. In addition, the slowly varying depth–density relationship is indicative of long-term climate (e.g. Herron and Langway, 1980), and highly accurate density data are needed to exploit this for paleoclimate interpretation. In the traditional gravimetric method, the mass and vol- ume of a sample are measured, with resolution and accu- racy being dependent upon the sample size. Such samples are generally obtained in three ways: direct sampling from a snow-pit wall; bulk sampling of core sections; and sub- samples cut from core sections. The practical depth limit for snow-pit sampling isa few metres in most locations. For core sampling, bulk densities of whole sections of core will not necessarily reveal fine density stratigraphy or ice layers (as thin as ∼1mm) that would have an effect on GPR signals (Kohler and others, 1997; Arcone and others, 2004). Making smaller subsamples from the core gives finer resolution, but is time-consuming and thus rarely carried out (Clark and others, 2007) over the full length of a core. Such sampling does not coexist easily with chemistry studies on a core, so non-destructive methods are clearly beneficial. Alternative methods for measuring the fine-scale density and stratigraphy in the firn are therefore desirable. Wilhelms (2005) expanded on the work of Wilhelms and others (1998) and Wolff (2000) using dielectric profiling (DEP) to infer firn density from conductivity and permittivity measurements. Morris and Cooper (2003) described the adaptation of a soil moisture instrument, the neutron-scattering probe (NP), to measure snow and firn density in a borehole. The utility of this method for interpreting firn stratigraphy has been shown (Hawley and Morris, 2006; Hawley and others, 2006), and Morris (in press) presented a physically based scattering model for calibration. Hawley and Morris (2006) demon- strated a link between firn density and optical properties us- ing borehole optical stratigraphy (BOS), and many ice-core processing lines currently use digital photography or scan- ning to image core sections (McGwire and others, 2007), yielding data from which to produce a similar core optical statigraphy (COS) record. Gamma-attenuation profiling, in which density can be inferred from the absorption and scat- tering of γ-rays by ice, has also been used (Eisen and others, 2006) to measure densitynon-destructively oncore sections. Weusedetailed measurementsofdensityacquired byDEP and NP methods, along with traditional gravimetric meas- urements and COS, to assess the utility of each technique for determining detailed firn density profiles for a complex stratigraphy with snow, firn and ice layers. 2. METHODS 2.1. Study area Kongsvegen is a 25km long polythermal, surge glacier in Svalbard, which has been the subject of extensive mass- balance campaigns (e.g. Hagen and others, 1999). Our study site is located at mass-balance stake 8 on the glacier, at an elevation of ∼700m (Fig. 1). Melting or rain events can occur year-round in Svalbard, and air temperatures during summer remain above freezing (Førland and Hanssen-Bauer, 2000). Meltwater can therefore percolate deep into the firn, forming ice layers up to several tens of centimetres thick. Downloaded from https://www.cambridge.org/core. 06 Apr 2021 at 01:16:41, subject to the Cambridge Core terms of use. https://www.cambridge.org/core 464 Hawley and others: Instruments and methods Fig. 1. Map of the Ny-Ålesund region, with the glacier Kongsvegen in the lower right. Our study site is located at stake 8. 2.2. Drilling At our field site, we collected a firn core to a depth of ∼11m usingaPolar IceCoringOffice (PICO)10cmhandaugerwith a power head. We measured and weighed the 35 core sec- tions in the field to obtain gravimetric densities. Core qual- ity was consistently poor in the unconsolidated winter snow comprising the uppermost 2.8m, making it impractical to return these sections to the laboratory. We transported the re- maining 23 core sections (listed in Table 1) to the laboratory for repeat gravimetric measurements, DEP and COS analy- sis. For registration with borehole measurements, each core section was located in depth with respect to its neighbours and several control points, at which we had measured the depth of the drill cutting head. 2.3. Neutron-probe logging Once the drilling was complete, we lowered the neutron probeto thebottomof theboreholeandraised it slowly to the surface at approximately 7–10cmmin−1, with the probe off- setandrestingagainst thesideof thehole, logging thedensity at1cmintervals (MorrisandCooper,2003;HawleyandMor- ris, 2006). The calibration of the NP measurement depends on the exact diameter of the borehole, which is larger near the surface due to the repeated passage of the drill. The NP- measured density profile shown in Figure 2 was determined from the measured count rate of neutrons returning to the detector using three-group neutron-scattering theory (Mor- ris, in press). The count rate depends on the characteristics of the probe, the snow/firn/ice density, temperature and the diameter of the borehole. The diameter of most boreholes drilled in firn with a hand- held coring drill is likely to vary; the hole will be larger near the surface from the repeated removal and insertion of the drill.Weknowthat, in this case, thediameterof theborehole was not constant. Specifically, the topmost ∼2m of the hole were enlarged as a result of repeated raising and lowering of the drill. This effect is likely to be largest in the upper few metres and smallest at the bottom, which has seen the fewest passes of the drill. In the absence of a caliper log of the hole, we estimated the borehole diameter to be 11cm (0.5cm on each side of the drill head) throughout most of its depth, flaring to 14cm at the surface (estimated visually). As can be seen from the comparison between gravimetric and NP data in Figure 2, there is good agreement between thebulkgravimetric densitiesand thosemeasuredbyNP.The logstopsbefore thebottomof thecorebecause thebottomof the hole was filled with ice chips that could not be removed by the drill. 2.4. Dielectric profiling We measured conductivity and permittivity profiles in the laboratory using DEP at 250KHz. We made measurements along thecoresectionsat5mmincrementswith10mmelec- trodes. For each core section, we made four measurements, rotating the core by 0, 90, 180 and 270◦. DEP measures the conductance and capacitance of the ice core, and we use the capacitance Cp, following Kohler and others (2003), to estimate the relative permittivity �r: �r = Cp Cair , (1) whereCair = 64.5×10−15 Fm−1 isaconstantobtainedusing a blank reading with an empty instrumental set-up. See Wil- helms and others (1998) for a more thorough description of Downloaded from https://www.cambridge.org/core. 06 Apr 2021 at 01:16:41, subject to the Cambridge Core terms of use. https://www.cambridge.org/core Hawley and others: Instruments and methods 465 Table 1. Laboratory measurements of the core sections Piece Length Diameter Mass Density m m kg kgm−3 1 0.290 0.0750 0.568 444±10 2 0.255 0.0740 0.527 481±12 3 0.285 0.0760 0.761 589±13 4 0.460 0.0760 0.153 733±13 5 0.400 0.0750 0.961 544±10 6 0.500 0.0750 1.191 539±9 7 0.370 0.0750 0.994 608±12 8 0.540 0.0760 2.074 847±14 9 0.570 0.0760 1.391 538±9 10 0.720 0.0755 1.976 613±9 11 0.465 0.0760 1.505 714±12 12 0.335 0.0760 0.929 612±12 13 0.330 0.0770 1.256 818±16 14 0.205 0.0770 0.816 855±24 15 0.155 0.0770 0.593 822±29 16 0.440 0.0755 1.306 663±12 17 0.090 0.0770 0.241 575±33 18 0.625 0.0760 1.706 602±9 19 0.290 0.0760 0.872 663±14 20 0.095 0.0770 0.264 597±33 21 0.110 0.0760 0.329 660±31 22 0.550 0.0760 1.950 782±13 23 0.130 0.0770 0.402 664±27 the instrument and discussion of the technique. We then use the relationship between density ρ and relative permittivity �r given by Kovacs and others (1995), �r = (1 +8.45 × 10−4ρ)2, (2) to calculate the firn/ice density. Since DEP measures over a finite volume, the measurements near the ends of each core section are subject to end effects. We excised these low-density end-effect anomalies by eye. The full set of DEP profiles is shown in Figure 2. Note that the DEP-derived den- sity profile appears to capture a significant amount of high- frequency variability, agrees well with gravimetric densities in high-density areas and slightly underestimates the density of the lower-density layers. 2.5. Core optical stratigraphy Visible stratigraphy analysis on ice cores has a long history of success (e.g. Alley, 1988; Alley and others, 1997). More recently, Hawley and others (2003) have developed BOS, which takes the visual analysis concept to boreholes and measures a log of brightness vs depth. To create a COS pro- file, we imaged the core sections illuminated from the side with a digital camera. The details of the camera system are presented by Sjögren and others (2007). We processed the images to obtain a brightness log by subsampling the centre portion of the image, avoiding the edges of the core, and taking the mean value of the pixels at a given depth of the core. A subsection of the optical profile with the accompanying imagery is shown in Figure 3. With side illumination, light detected by the camera is primarily scattered from within the firn, so the relatively low-scattering ice layers appear dark. 400 600 800 0 1 2 3 4 5 6 7 8 9 10 11 D ep th (m ) a 400 600 800 Density (kg m−3) b 400 600 800 c d Fig. 2. Density data (black) and data averaged over core sections (grey) to facilitate comparison: (a) gravimetric density data; (b) NP data; (c) DEP data (thin grey lines depict four runs at 0, 90, 180 and 270◦ rotation, and the black linedepicts themean); and (d) imagery of the core on a black background with side illumination, the basis of the COS shown in Figure 3. 3. DISCUSSION 3.1. Accuracy of the methods As can be seen in Figure 2, there are differences between the absolute densities measured by the three methods. We evaluate the accuracy of each technique. The gravimetric technique using core samples has the longest history and has proven utility. The depth resolution, however, is usually insufficient to resolve the shorter-scale spatial fluctuations in density, and the accuracy can be af- fected by several factors. The diameter of the core is gen- erally measured at several places along the core, but may not be consistent. The length of the core is measured, but, Downloaded from https://www.cambridge.org/core. 06 Apr 2021 at 01:16:41, subject to the Cambridge Core terms of use. https://www.cambridge.org/core 466 Hawley and others: Instruments and methods 300 600 900 3.5 4 4.5 5 Densityy (kgg m−3) D ep th (m ) 50100150 Brightness (digital number) a b Fig. 3. (a) NP (grey) and DEP (black) density profiles; (b) COS profile, a mean brightness from the core imagery; and (c) digital imagery of the core, the basis of the COS profile. In this detailed view, the effect of core breaks on the DEP and core-optical measurement can be seen; there are short data gaps where the end effects in the data have been eliminated and are delineated with horizontal grey lines. Note that thin ice layers as detected by COS are smoothed in the NP profile; this is because the 13.5cm neutron detector behaves as a low-pass filter on the measurement. The smoothing effect is also present in the DEP profile (e.g. depths 4.4m and 4.6m). in the event of an uneven core break, this length might not be uniform. This can result in density being either over- or underestimated. Often a core will be in many pieces upon extraction from the drill. If a piece is lost, the measured mass of the core section will be reduced, resulting in an under- estimation of density. This is particularly troublesome when core quality is poor or in unconsolidated snow, where care is required to obtain good results. Systematic density over- estimation is rare, because this would require excess weight orvolumetobeunderestimated.Core lossalso introducesan ambiguity in thedepthpositioningofadensitymeasurement, although measurements of the drill depth for any given core can help to resolve this. Density ismeasuredbyNPbycountingtherateofneutrons slowed by scattering in the snow and then absorbed by the detector. The diameter of the borehole has an effect on the relation between density and count rate, as does the position of the probe in the hole, i.e. whether the probe is centred in the hole or lying against the side (Morris, in press). On Kongsvegen we did not measure borehole diameter but were careful to align the probe with the side of the hole when we set up the measurement. Although it is reasonable to assume the probe did not at any depth losecontact with the wall, we cannot categorically exclude this possibility. In future tests, use of a pressure shoe to hold the tool against the borehole wall would eliminate this source of uncertainty. We have assumed in section 2.3 that the diameter of the hole is 11cm through most of its depth, but that it flares from 11cm at the first hard layer (∼2m) to 14cm at the surface. We do not know what the error in this estimate is, but sensitivity calculations by Morris (in press) indicate that fora10%error inboreholediameter the resultingerror in the derived density would be of the order 8–10%. A caliper log of the hole, showing the exact diameter, would allow us to account for the effect of variation in borehole diameter more accurately, although the calipers may not work properly in unconsolidated snow. In standard practice, when co-registration of NP profiles with core is not required, the borehole can be drilled using a 5cm non-coring auger and a rigid guide tube up to several metres long. The guide tube is made of aluminium which does not affect the neutrons, and can be left in place during logging. This prevents collapse of lower-density layers and ensures the hole is of constant diameter through the upper- most (generally lowest-density and weakest) part of the firn. In addition, the accuracy of the method is much improved by using a small-diameter access hole (Morris and Cooper, 2003; Morris, in press). DEP uses the electrical properties of the ice, as outlined above, to calculate density. As can be seen in Figure 2, DEP appears to underestimate in the lower-density sections of core but agrees with the gravimetric measurements for the higher-density sections. We suspect the underestimation at lower densities is caused by thinner core diameter (typically 7.3–7.6cm com- pared to 7.8cm for ice layers). The air gap between the core, guarding and electrodes in the DEP affects the capacitance readings. Inessence, byreducing thecorediameterby5mm, 13% less core material will occupy the cradle and thus the relative permittivity will be underestimated. Propagating this error through Equation (2) leads to a possible error of up to 20% in the low-density sections and 10–13% in the high- density sections. However, since the higher-density sections typically have a smaller air gap, the uncertainty is further reduced. The actual observed underestimation in the low- density parts of the core is ∼15%. In addition, there could also be a change in conductivity with density which is unaccounted for in the density cal- culation, or an inaccuracy of the blank measurement. For the purposes of characterizing the large-scale fluctuations of this layered (firn/ice) core, the present method is sufficient. For a polar firn core, where density is more slowly varying, one would process the DEP using the full permittivity and conductivity values following Wilhelms (2005). Downloaded from https://www.cambridge.org/core. 06 Apr 2021 at 01:16:41, subject to the Cambridge Core terms of use. https://www.cambridge.org/core Hawley and others: Instruments and methods 467 3.2. Details in the density profile The three density measurements are plotted together in Fig- ure 2. Both DEP and NP techniques show finer spatial reso- lution compared to the gravimetric method. Figure 3 shows a section of the DEP, NP and COS profiles, along with com- posite imagery of the core. The sharpest contrasts are seen in the COS profile. Thin ice layers such as that seen at ∼4.4m are spatially resolved by COS, and can be seen smoothed in the NP and DEP profiles. The smoothing of thin ice layers in the NP data is readily apparent. This is due to the fact that the active length of the neutron detector (13.5cm) acts as a low-pass filter (with a cut-off of approximately half the active length, or 6.75cm). This is particularly noticeable at ∼3.75m in Figure 3. Less obvious but also apparent is the smoothing effect of DEP with electrodes 10mm long which sampleafinitevolume.Afirst estimateof the sensingvolume can be found when excising the core-break end effects from the DEP record. Generally, ∼2cm was removed from each end of a core section, implying that the sensing length along the core is ∼4cm. In principle, the true density profile could be extracted by inverse methods, using the NP or DEP densities and geom- etry constrained by COS. Since optical stratigraphy can be obtained using down-hole techniques (i.e. BOS), a combin- ation of NP and BOS would allow a very accurate and de- tailed density profile to be constructed. 3.3. Pseudo-density from COS Since the optical signal is affected by factors other than den- sity, such as grain size and shape and other aspects of firn microstructure, the inversion of optical brightness to find density is not straightforward. A true inversion is beyond the scope of this study. We can, however, exploit the strong cor- relation between brightness anddensity (Hawley andMorris, 2006; Sjögren and others, 2007) to investigate the potential foranoptical record (COSorBOS) tobeused incombination with a high-resolution density profile (such as that from NP or DEP) to produce a detailed and accurate interpretation of density. Simplifying the procedure of Sjögren and others (2007) for obtaining a density profile from COS, we apply a linear transformation y = Ax + B to the intensity data, and vary A and B to minimize the mismatch over a short depth range between this ‘pseudo-density’ profile and the density profile measured by NP. The optimum values are A = −2.4 and B = 1000, and the resulting profile is shown in Figure 4. Note that the ice layers are very clearly seen in the pseudo- density profile, and the background density is in agreement with the NP density profile. 4. CONCLUSIONS We have made side-by-side density measurements in mixed firn and ice using NP, DEP, COS and gravimetric density measurement techniques. Unconsolidated snow near the surface affects the measurements derived from all the techniques, and further refinements are needed for these conditions. Althoughdependent onan accurate measurement ofbore- holediameter, theNPmethoddoesnot require thecollection and shipping of core and is relatively simple to deploy in the field. This means that the NP method is free of the problems associated with core depth registration, core breaks, poor core quality or melting of cores during shipping. In fact, NP 500 550 600 650 700 750 800 850 3.5 4 4.5 5 Density (kg m−3) D ep th (m ) Fig.4.A‘pseudo-density’ profile,derived fromtheCOSprofileanda simple linear transformation, is shown in black with the NP-density data ingrey.Note thatwhilenotgivinga truephysicallybasedmeas- urement of density, the COS-derived pseudo-density profile clearly captures the details of the ice layers. can be deployed in a rapidly drilled hole with a 5cm non- coring auger. The DEP method has the fine resolution needed to charac- terize thin (<5cm) ice layers, but suffers from the problems associated with collecting cores mentioned above. Although both NP and DEP smooth the density profile to some extent, both offer a vast improvement over gravimetric methods of density profiling, with increased spatial resolution and pre- cision and reduced potential for human errors. Optical stratigraphy in the borehole or on the core, while not providing a quantification of density, can be combined with either NP or DEP to improve the ability of either tech- nique to resolve thin ice layers. A combined NP, optical and caliper down-hole tool may prove to be the ideal means of measuringacontinuous,high-resolution,high-accuracy pro- file of density from the surface to any depth accessible via drilling. ACKNOWLEDGEMENTS We thank K. Christianson for assistance with drilling. This work was supported by the European Space Agency and by the UK Natural Environment Research Council under grant No. NER/0/S/2003/00620, and by the Norwegian Research Council. We thank D. Peel (Scientific Editor), C. Shuman and an anonymous reviewer for insightful comments which im- proved the manuscript. REFERENCES Alley,R.B. 1988. Concerning the deposition and diagenesis of strata in polar firn. J. Glaciol., 34(118), 283–290. Alley, R.B. and 11 others. 1997. Visual-stratigraphic dating of the GISP2 ice core: basis, reproducibility, and application. J. Geophys. Res., 102(C12), 26,367–26,382. Arcone, S.A., V.B. Spikes, G.S. Hamilton and P.A. Mayewski. 2004. Stratigraphic continuity in 400MHz short-pulse radar profiles of firn in West Antarctica. Ann. Glaciol., 39, 195–200. Clark, I.D. and 8 others. 2007. CO2 isotopes as tracers of firn air diffusion and age in an Arctic ice cap with summer melt- ing, Devon Island, Canada. J. Geophys. Res., 112(D1), D01301. (10.1029/2006JD007471.) Downloaded from https://www.cambridge.org/core. 06 Apr 2021 at 01:16:41, subject to the Cambridge Core terms of use. https://www.cambridge.org/core 468 Hawley and others: Instruments and methods Eisen, O., F. Wilhelms, D. Steinhage and J. Schwander. 2006. Improved method to determine radio-echo sounding reflector depths from ice-core profiles of permittivity and conductivity. J. Glaciol., 52(177), 299–310. Førland, E.J. and I. Hanssen-Bauer. 2000. Increased precipitation in the Norwegian Arctic: true or false? Climatic Change, 46(4), 485–509. Hagen, J.O., K. Melvold, T. Eiken, E. Isaksson and B. Lefauconnier. 1999. Mass balance methods on Kongsvegen, Svalbard. Geogr. Ann., 81A(4), 593–601. Hawley, R.L. and E.M. Morris. 2006. Borehole optical stratigraphy and neutron-scattering density measurements at Summit, Green- land. J. Glaciol., 52(179), 491–496. Hawley, R.L., E.D. Waddington, R.A. Alley and K.C. Taylor. 2003. Annual layers in polar firn detected by borehole optical stratigraphy. Geophys. Res. Lett.,30(15), 1788. (10.1029/ 2003GL017675.) Hawley, R.L., E.M. Morris, R. Cullen, U. Nixdorf, A.P. Shepherd and D.J. Wingham. 2006. ASIRAS airborne radar resolves internal annual layers in the dry-snow zone of Greenland. Geophys. Res. Lett., 33(4), L04502. (10.1029/2005GL025147.) Herron, M.M. and C.C. Langway, Jr. 1980. Firn densification: an empirical model. J. Glaciol., 25(93), 373–385. Kohler, J., J. Moore, M. Kennett, R. Engeset and H. Elvehøy. 1997. Using ground-penetrating radar to image previous years’ sum- mer surfaces for mass-balance measurements. Ann. Glaciol., 24, 355–360. Kohler, J., J.C. Moore and E. Isaksson. 2003. Comparison of modelled and observed responses of a glacier snowpack to ground-penetrating radar. Ann. Glaciol., 37, 293–297. Kovacs, A., A.J. Gow and R.M. Morey. 1995. The in-situ dielectric constant of polar firn revisited. Cold Reg. Sci. Technol., 23(3), 245–256. McGwire, K.C. and 6 others. In press. An integrated system for optical imaging of ice cores. Cold Reg. Sci. Technol. Morris, E.M. Inpress. A theoretical analysisof theneutron-scattering method for measuring snow and ice density. J. Geophys. Res. Morris, E.M. and J.D. Cooper. 2003. Density measurements in ice boreholes using neutron scattering. J. Glaciol., 49(167), 599–604. Okuyama, J.,H.Narita,T.HondohandR.M.Koerner. 2003.Physical properties of the P96 ice core from Penny Ice Cap, Baffin Island, Canada, and derived climatic records. J.Geophys. Res., 108(B2), 2090. (10.1029/2001JB001707.) Sjögren, B. and 6 others. 2007. Determination of firn density in ice cores using image analysis. J. Glaciol., 53(182), 413–419. Wilhelms, F. 2005. Explaining the dielectric properties of firn as a density-and-conductivity mixed permittivity (DECOMP). Geophys. Res. Lett., 32(16), L16501. (10.1029/2005GL022808.) Wilhelms, F., J. Kipfstuhl, H. Miller, K. Heinloth and J. Firestone. 1998. Precise dielectric profiling of ice cores: a new device with improved guarding and its theory. J. Glaciol., 44(146), 171–174. Wolff, E. 2000. Electrical stratigraphy of polar ice cores: principles, methods, and findings. In Hondoh, T., ed. Physics of ice core records. Sapporo, Hokkaido University Press, 155–171. MS received 19 February 2008 and accepted in revised form 14 March 2008 Downloaded from https://www.cambridge.org/core. 06 Apr 2021 at 01:16:41, subject to the Cambridge Core terms of use. https://www.cambridge.org/core