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Simple relations for the close-off depth and age in dry-snow densification

Published online by Cambridge University Press:  14 September 2017

Andrey N. Salamatin
Affiliation:
Kazan State University, 420008 Kazan, Russia, E-mail:[email protected]
Vladimir Ya. Lipenkov
Affiliation:
Arctic and Antarctic Research Institute, 199397 St Petersburg, Russia
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Abstract

A physical model for the snow/firn densification process (Salamatin and others, 2006) and Martinerie and others’ (1992, 1994) correlation for the firn density at the pore closure are employed to perform a scale analysis and computational experiments in order to deduce simplified relations for the close-off depth and ice age in quasi-stationary ice formation conditions. The critical snow density at which ice-grain rearrangement stops is used to take into account variability of snow structures subjected to densification. The results obtained are validated on a representative set of ice-core data from 22 sites which covers wide ranges of present-day temperatures and ice accumulation rates. A simple analytical approximation for the density–depth profile is proposed.

Type
Research Article
Copyright
Copyright © The Author(s) [year] 2008

List of Symbols

List of Symbols

Introduction

The transformation of dry snow into bubbly ice, being a fundamental glaciological phenomenon, is also a key process that links paleoclimatic records of ice properties in glaciers to those of atmospheric gases trapped in the ice (e.g. Reference Schwander, Oeschger and LangwaySchwander, 1989; Reference Barnola, Pimienta, Raynaud and KorotkevichBarnola and others, 1991; Reference Schwander, Sowers, Barnola, Blunier, Fuchs and MalaizéSchwander and others, 1997; Reference Goujon, Barnola and RitzGoujon and others, 2003; Reference Blunier, Schwander, Chappellaz, Parrenin and BarnolaBlunier and others, 2004). From this point of view, the most important general characteristics of the snow/firn densification process are the age t c of ice at the pore closure and the close-off depth h c at which all pores become closed and firn transforms to bubbly ice with the close-off relative density ρ c.

As a continuation of previous studies (Reference Arnaud, Barnola, Duval and HondohArnaud and others, 1998, Reference Arnaud, Lipenkov, Barnola, Gay and Duval2000), an improved physical model for the snow/firn densification on the ice-sheet surface has recently been developed by Reference Salamatin, Lipenkov, Barnola, Hori, Duval and HondohSalamatin and others (2006). It has been further constrained and validated by available data (Reference A.N., Lipenkov, Barnola, Hori, Duval, Hondoh and HondohSalamatin and others, in press). Based on Reference AlleyAlley’s (1987) and Reference ArztArzt’s (1982) theories, the model considers the overall vertical (uniaxial) compression of the snow and firn under increasing overburden pressure as a sum of two constituents, one caused by rearrangement of ice grains as rigid particles and another controlled by grain plasticity. In contrast to previous studies, it also takes into account the dilatancy effects in the ice particle repacking. As a result, the first (snow) stage of densification, being dominated by the ice particle rearrangement, is simultaneously influenced by a gradual increase in the dislocation creep of grains. By definition (Reference Arnaud, Barnola, Duval and HondohArnaud and others, 1998, Reference Arnaud, Lipenkov, Barnola, Gay and Duval2000), the second (firn) stage starts when the grain rearrangement ceases at the closest (dense) packing of ice crystals. Following Reference ArztArzt (1982), the initial firn structure is described (Reference Salamatin, Lipenkov, Barnola, Hori, Duval and HondohSalamatin and others, 2006, in press) by the critical coordination number Z 0 ~ 6.5–8.0 and by the slope of the cumulative ice-particle radial distribution function (RDF) C ~ 40–60. These micro-structural parameters determine the critical relative density at the snow-to-firn transition ρ 0 ~ 0.7–0.75. Traditionally, the boundary between the two densification stages is assumed, after Reference Anderson, Benson and KingeryAnderson and Benson (1963), at a considerably lower relative density of 0.6 corresponding to the specific bend observed in many ice-core density profiles. Modeling by Reference Salamatin, Lipenkov, Barnola, Hori, Duval and HondohSalamatin and others (2006, in press) has confirmed the earlier finding by Ebinuma and co-workers (Reference Ebinuma and MaenoEbinuma and others, 1985; Reference Ebinuma and MaenoEbinuma and Maeno, 1985, Reference Ebinuma, Nishimura, Maeno and Kawaguchi1987) that this first sharp decrease in the densification rate manifests only the onset of an intermediate regime, in which particle rearrangement and plasticity work together. The dislocation creep takes over, and the firn stage begins at the higher critical relative densities.

Thus, the critical density ρ 0 becomes one of the principal microstructural parameters which control the snow/firn densification in modeling approaches (Reference Arnaud, Barnola, Duval and HondohArnaud and others, 1998, Reference Arnaud, Lipenkov, Barnola, Gay and Duval2000; Reference Salamatin, Lipenkov, Barnola, Hori, Duval and HondohSalamatin and others, 2006, in press). The initial (surface) snow build-up and the evolution of the snow/firn structure with depth depend on ice formation conditions (Reference AlleyAlley, 1988). Ice-core data analysis performed by Reference A.N., Lipenkov, Barnola, Hori, Duval, Hondoh and HondohSalamatin and others (in press) shows that higher critical densities generally correspond to higher temperatures T and higher surface snow densities ρ s, although without clear quantitative correlation. Similar observations were earlier reported by Reference BensonBenson (1962) and Reference ArnaudArnaud (1997), but the definition of the critical density was different. It was suggested that meteorological conditions such as wind speed, surface temperature, temperature gradients and insolation (e.g. Reference Craven and AllisonCraven and Allison, 1998; Reference Lipenkov, Ekaykin, Barkov and PursheLipenkov and others, 1998; Reference BenderBender, 2002; Reference Raynaud, Lipenkov, Lemieux-Dudon, Duval, Loutre and LhommeRaynaud and others, 2007) and, possibly, precipitation processes can affect the properties of the near-surface snow and, thus, the densification of snow/firn strata. As summarized in Table 1, two types of snow microstructures (L and H groups of ice cores) can be roughly distinguished on the basis of model constraining (Reference A.N., Lipenkov, Barnola, Hori, Duval, Hondoh and HondohSalamatin and others, in press). These structures are characterized by different best-fit critical coordination numbers Z 0 and RDF slopes C, resulting in mean critical densities ρ 0 ≈ 0.709 and 0.745, respectively. It was shown that the L group exhibits distinctly lower densification rates (i.e., a ‘harder’ structure) in comparison with the H group.

Table 1. Snow/firn densification parameters

A new microstructural characteristic, the critical bonding factor ζ 0, was introduced (Reference Salamatin, Lipenkov, Barnola, Hori, Duval and HondohSalamatin and others, 2006) to describe the fraction of grain surface occupied by excess neck volume created due to pressureless sintering (e.g. through water-vapor transport) outside the plastically formed contacts. The value of this parameter was estimated as ζ 0 = 0.55±0.05 without any noticeable correlation to ice formation conditions.

The goal of the present paper is to further investigate the snow/firn densification model (Reference Salamatin, Lipenkov, Barnola, Hori, Duval and HondohSalamatin and others, 2006) on the basis of scale analysis and to derive explicit semi-empirical relations for the close-off depth and ice age in quasi-stationary climatic conditions at a given close-off relative density ρ c following, generally, the linear dependence on temperature as determined by Reference Martinerie, Lipenkov, Raynaud, Chappellaz, Barkov and LoriusMartinerie and others (1992, Reference Martinerie, Raynaud, Etheridge, Barnola and Mazaudier1994).

Scale Analysis of the General Model

For quasi-stationary ice-formation conditions, at fixed temperature T and ice accumulation rate b, physical snow/ firn densification models (Reference Arnaud, Barnola, Duval and HondohArnaud and others, 2000; Reference Salamatin, Lipenkov and BlinovSalamatin and others, 2006) predict a certain similarity between different profiles of the relative density ρ (normalized by the pure ice density ρ i) vs depth h. The critical relative density ρ 0 appears in the above-cited papers in the constitutive relations for the macroscopic snow/firn compression rate ω as the typical scale of ρ, being close to the mean value of the relative density over the surface layer above the close-off level h c.

The vertical velocity of a reference snow/firn particle is b/ρ, and, by definition,

(1)

where in a general form (Reference Arnaud, Barnola, Duval and HondohArnaud and others, 2000; Reference Salamatin, Lipenkov, Barnola, Hori, Duval and HondohSalamatin and others, 2006)

Here α is the creep index, μ is the Arrhenius-type temperature-dependent coefficient of non-linear viscosity in the ice-flow law, f is a function of ρ/ρ 0, temperature, and microstructural parameters, and p l is the load pressure calculated R as pl = i h 0 ρ dh, where g is the gravity acceleration.

After substitution of the above expressions for ω and pl, in terms of scaled variables ρ̄ = ρ/ρ 0 and h̄ = h/h c, Equation (1) transforms to

(2)

Integration with respect to from 0 to 1 and with respect to ρ̄ from ρ̄s = ρs0 (ρs is the relative density of surface snow) to ρ̄c = ρ c 0 yields

(3)

where

Accordingly, if ρ 0 represents the mean density of the snow/ firn layer above the close-off level then the ice age at pore closure t cρ 0 h c/b, and Equation (3) can be rewritten as

(4)

This defines the Bt factor and assumes that Bt Bh .

Based on the scale analysis, Equations (3) and (4) explicitly reveal the principal intrinsic links between the close-off characteristics (h c, t c), snow/firn rheological properties (α, μ) and climatic conditions (b, T). As a consequence, by definition, the shape factors of density–depth profiles Bt and Bh are expected to be constant or, at least, dependent only on structural characteristics (e.g. ρ 0, ρ c). Relations (3) and (4) were envisaged by Reference A.N., Lipenkov, Barnola, Hori, Duval, Hondoh and HondohSalamatin and others (in press). However, the coefficients Bt and Bh were introduced formally and estimated directly on the basis of ice-core data. They had different values for each of the two established L and H types of snow microstructures with noticeable (±5–10%) variations (see Table 1). In the following section, we use the snow/firn densification model to specify the Bt and Bh relationships.

Computational Experiments and Ice-Core Data

The physical snow/firn densification model (Reference Salamatin, Lipenkov, Barnola, Hori, Duval and HondohSalamatin and others, 2006) was constrained and validated on a representative set of ice-core density measurements at 22 sites in the Antarctic and Greenland ice sheets with wide ranges of present-day temperatures from –57.5 to –10˚C and ice accumulation rates from 2.2 to 330 cm a–1 (Reference A.N., Lipenkov, Barnola, Hori, Duval, Hondoh and HondohSalamatin and others, in press). The model parameters (i.e. the factor f (ρ̄) in Equation (2)) were tuned so as to fit the simulated density–depth curves to the experimental data. Here we describe a special series of computations performed with the recommended (mean) parameters from Table 1. We study the analytical expressions of the B factors in Equations (3) and (4) for different snow/firn structures, characterized by the critical densities v 0, and possible variations of the close-off densities ρ c.

Based on Reference Martinerie, Lipenkov, Raynaud, Chappellaz, Barkov and LoriusMartinerie and others (1992, Reference Martinerie, Raynaud, Etheridge, Barnola and Mazaudier1994), a linear empirical correlation between the close-off relative density ρ c and the firn temperature T (in K),

(5)

can be employed after Reference Lipenkov, Ryskin and BarkovLipenkov and others (1999) to predict the close-off depth h c and ice age t c from the model and to

calculate the Bh and Bt values in Equations (3) and (4). Additionally, for each temperature, maximum deviations of ±0.01 from ρ c given by Equation (5) are also tested.

In full agreement with the scale analysis, the calculations confirm that Bt and Bh do not directly depend on b or T and do not differ from each other by more than ±2% on average. Accordingly, the 22 best-fit ratios Bt /Bh inferred in Reference A.N., Lipenkov, Barnola, Hori, Duval, Hondoh and HondohSalamatin and others (in press) for Martinerie’s relation (5) are equal to 1 within the standard deviation of 1%.

The computational experiments at the creep exponent α = 3.5 reveal that a power approximation f ~ (ρ̄)2 α +1 can be assumed. Hence, the integral of f (ρ̄) in Bh coefficient in Equation (3) is proportional to ( ρ c 0 )2α+2-( ρ s 0 )2α+2, where the second term appears to be negligibly small. As a result, Bh does not depend on ρ s and is found to be inversely proportional to ρ 0 2. Finally, the proportionality between Bh and ρ c 5 can be established directly from the simulations:

(6)

The analytical accuracy of this approximation is not worse than ±1% for Bt and ±3% for Bh . The best-fit estimates of the products Bhρ 0 2/ρ c 5 and Btρ 0 2/ρ c 5 obtained in Reference A.N., Lipenkov, Barnola, Hori, Duval, Hondoh and HondohSalamatin and others (in press) are plotted against temperature T in Figure 1 by solid and open circles, respectively. The solid line in the figure corresponds to Equation (6) and practically coincides with the mean-square approximation (dashed line) of the observational data. The relative standard deviation does not exceed 2%. It is partly caused by local changes in snow/firn structures, i.e. in microstructural parameters Z 0, C , and largely by deviation of ζ 0 from its mean recommended value 0.55 (see Table 1).

Fig. 1. The best-fit estimates of the products Bhρ 0 2/ρ c 5 and Btρ 0 2/ρ c 5 vs temperature T (solid and open circles) deduced by Reference A.N., Lipenkov, Barnola, Hori, Duval, Hondoh and HondohSalamatin and others (in press) from the 22 ice-core density profiles over the Antarctic and Greenland ice sheets at ρ c given by Equation (5) as compared to Equation (6) (solid line) and the mean-square approximation (dashed line).

Thus, Equations (3), (4) and (6) consistently, within a few percent, predict the general close-off characteristics of the firn-to-bubbly-ice transition at given (present-day) climatic conditions b, T, provided that the critical density ρ 0 and close-off density ρ c of the snow/firn structure are known. The latter parameters, although rather stable, are primarily influenced by temperature and other meteorological conditions (Reference Martinerie, Lipenkov, Raynaud, Chappellaz, Barkov and LoriusMartinerie and others, 1992, Reference Martinerie, Raynaud, Etheridge, Barnola and Mazaudier1994; Reference Anderson, Benson and KingeryArnaud, 1997; Reference Arnaud, Lipenkov, Barnola, Gay and DuvalArnaud and others, 1998; Reference Lipenkov, Ryskin and BarkovLipenkov and others, 1999; Reference Raynaud, Lipenkov, Lemieux-Dudon, Duval, Loutre and LhommeRaynaud and others, 2007; Reference A.N., Lipenkov, Barnola, Hori, Duval, Hondoh and HondohSalamatin and others, in press). ρ 0 can be estimated on the basis of the data presented in Table 1, while ρ c is conventionally determined by Equation (5).

Assuming that for a certain site under consideration the snow/firn structure development and the critical density do not change significantly with the climate, we can rewrite Equations (3–6) in terms of relative variations of the close-off characteristics for two different stationary conditions:

Here R g = 8.314 J (molK)–1 is the gas constant, and h * c and t * c are the close-off depth and ice age determined (measured) at the reference (present-day) ice accumulation rate b * and surface (firn) temperature T *. The apparent activation energy Q’p ≈ 63.6 kJ mol–1 is a modification of Qp from Table 1 additionally corrected to take into account the dependence (Equation (5)) of ρ c on temperature in Equation (6). This form of Equations (3) and (4) may be especially useful in paleo-reconstructions and sensitivity studies.

Density–Depth Profile

A simple analytical approximation of the density–depth profile for the snow/firn layer can be useful in applications. Based on ice-core measurements (Reference Lipenkov, Salamatin and DuvalLipenkov and others, 1997) at Vostok station, Antarctica, an exponential presentation was proposed by Reference Salamatin, Lipenkov and BlinovSalamatin and others (1997) and confirmed by Reference Ekaykin, Lipenkov, Petit and Masson-DelmotteEkaykin and others (2003). Subject to the condition that the critical relative density ρ 0 equals the mean relative density of the snow/firn layer above the close-off level h c, we can write this relationship as

(7)

where the densification factor γ is expressed via ρ c and ρ 0 by the following equation

(8)

which is a consequence of Equation (7) at h = h c, where ρ = ρ c. The parameter γ as a function of the righthand side of Equation (8) is plotted in Figure 2.

Fig. 2. The exponent factor γ as a function of the ratio (1 – ρ c)/(1 – ρ 0) on the righthand side of Equation (8).

To illustrate the applicability of Equations (7) and (8) in combination with Equations (3–6), two limiting cases of Antarctic ice cores from Vostok station (Reference Lipenkov, Salamatin and DuvalLipenkov and others, 1997) and H72 site (Reference NishioNishio and others, 2002) are considered as typical respective representatives of L and H groups. Present-day climatic conditions at these sites and close-off characteristics calculated from Equations (3–6) for the critical densities deduced in Reference A.N., Lipenkov, Barnola, Hori, Duval, Hondoh and HondohSalamatin and others (in press) are presented in Table 2. As expected, h c and t c do not differ by more than 2% from the corresponding best-fit estimates given in parentheses. However, the accuracy reduces to 3.5–5% if the mean critical densities for L and H structures from Table 1 are used in calculations. The relative density–depth profiles described by Equations (7) and (8) are compared with the observational data in Figure 3. These exponential curves predict the general course of the densification process quite well, but do not catch the initial depositional and/or diagenetic phase of the snow metamorphism (Reference AlleyAlley, 1988) within a few (3–5) uppermost meters. In the case of the L group, under cold and low-wind conditions affected by insolation, a low-density firn microstructure is formed at decreased rates of the near-surface densification (see Fig. 3a). On the other side, the H group is characterized by the intense pressureless sintering in the near-surface snow layer, resulting in a high-density firn microstructure (see Fig. 3b).

Table 2. Climatic conditions and close-off characteristics at Vostok and H72 sites

Fig. 3. Comparison of the relative density–depth profiles predicted by Equations (7) and (8) at the Vostok (a) and H72 (b) sites with the observational data (Reference Lipenkov, Salamatin and DuvalLipenkov and others, 1997; Reference NishioNishio and others, 2002).

Conclusion

Simple relationships (3), (4) and (6) for the depth h c and ice age t c of the firn-pore closure are derived on the basis of the general snow/firn densification model (Reference Salamatin, Lipenkov, Barnola, Hori, Duval and HondohSalamatin and others, 2006). Together with Reference Martinerie, Lipenkov, Raynaud, Chappellaz, Barkov and LoriusMartinerie and others’ (1992, Reference Martinerie, Raynaud, Etheridge, Barnola and Mazaudier1994) correlation (5) for the close-off relative density ρ c, they allow an approximate, though fairly accurate (within a few percent), description of the densification process in quasi-stationary climatic conditions (b, T) with the firn structure specified by the critical relative density ρ 0. The importance of this microstructural parameter was earlier emphasized by Reference Arnaud, Barnola, Duval and HondohArnaud and others (1998, Reference Arnaud, Lipenkov, Barnola, Gay and Duval2000). As a first approximation, the mean ρ 0 values for different L and H groups of site conditions (ice cores) can be taken from Table 1. The relative density–depth profiles are given by Equations (7) and (8), and the whole calculations can be easily performed with a standard spreadsheet. The results obtained can be especially useful in paleo-reconstructions and sensitivity studies.

Acknowledgements

This work is a contribution to Project 4 of the Subprogram ‘Study and Research of the Antarctic’, FTP ‘World Ocean’ of the Russian Federation and has been performed in the frame of the French–Russian research network (Groupement de recherché européen (GDRE) ‘Vostok’). It was funded by the Russian Basic Research Foundation through grant No. 0505-64797 in the Kazan State University and grant No. 0605-65174 in the Arctic and Antarctic Research Institute. The authors gratefully acknowledge the financial support from Laboratoire de Glaciologie et Géophysique de l’Environnement, Centre National de la Recherche Scientifique, France, to cover their participation at the International Symposium on Snow Science through GDRE ‘Vostok’. Particular thanks are owed to R.L. Brown and an anonymous referee for their thorough reviews and useful comments which helped to improve the paper.

References

Alley, R.B. 1987. Firn densification by grain-boundary sliding: a first model. J. Phys. (Paris), 48, Colloq. C1, 249–254. (Supplément au 3.)CrossRefGoogle Scholar
Alley, R.B. 1988. Concerning the deposition and diagenesis of strata in polar firn. J. Glaciol., 34(118), 283–290.Google Scholar
Anderson, D.L. and Benson, C.S.. 1963. The densification and dia-genesis of snow. In Kingery, W.D., ed. Ice and snow: properties, processes, and applications. Cambridge, MA, MIT Press, 391–411.Google Scholar
Arnaud, L. 1997. Modélisation de la transformation de la neige en glace a` la surface des calottes polaires: étude du transport des gaz dans ces milieux poreux. (Thse de doctorat, Université Joseph Fourier – Grenoble.)Google Scholar
Arnaud, L., Lipenkov, V., Barnola, J.M., Gay, M. and Duval, P.. 1998. Modelling of the densification of polar firn: characterization of the snow–firn transition. Ann. Glaciol., 26, 39–44.Google Scholar
Arnaud, L., Barnola, J.M. and Duval, P.. 2000. Physical modeling of the densification of snow/firn and ice in the upper part of polar ice sheets. In Hondoh, T., ed. Physics of ice core records. Sapporo, Hokkaido University Press, 285–305.Google Scholar
Arzt, E. 1982. The influence of an increasing particle coordination on the densification of spherical powders. Acta Met., 30(10), 1883–1890.CrossRefGoogle Scholar
Barnola, J.M., Pimienta, P., Raynaud, D. and Korotkevich, Y.. 1991. CO2-climate relationship as deduced from the Vostok ice core: a re-examination based on new measurements and on a reevaluation of the air dating. Tellus, 43B(2), 83–90.Google Scholar
Bender, M.L. 2002. Orbital tuning chronology for the Vostok climate record supported by trapped gas composition. Earth Planet. Sci. Lett., 204(1–2), 275–289.Google Scholar
Benson, C.S. 1962. Stratigraphic studies in the snow and firn of the Greenland ice sheet. SIPRE Res. Rep. 70.Google Scholar
Blunier, T., Schwander, J., Chappellaz, J., Parrenin, F. and Barnola, J.M.. 2004. What was the surface temperature in central Antarctica during the last glacial maximum? Earth Planet. Sci. Lett., 218(3–4), 379–388.Google Scholar
Craven, M. and Allison, I.. 1998. Firnification and the effects of wind-packing on Antarctic snow. Ann. Glaciol., 27, 239–245.Google Scholar
Ebinuma, T. and Maeno, N.. 1985. Experimental studies on densification and pressure-sintering of ice. Ann. Glaciol., 6, 83–86.Google Scholar
Ebinuma, T. and Maeno, N.. 1987. Particle rearrangement and dislocation creep in a snow-densification process. J. Phys. (Paris), 48, Colloq. C1, 263–268. (Supplément au 3.)Google Scholar
Ebinuma, T., Nishimura, H., Maeno, N. and Kawaguchi, S.. 1985. A new explanation of bending of a snow density profile. Mem. Natl. Inst. Polar Res., 39, Special Issue, 184–188.Google Scholar
Ekaykin, A.A., Lipenkov, V.Ya., Petit, J.R. and Masson-Delmotte, V.. 2003. Pyatidesyatiletriy tsikl v izmeneniyah akkumulyatsii i izotopnogo sostava snega na stantsii Vostok [Fifty-years cycle in variations of snow accumulation and isotope content on Vostok Station]. Mater. Glyatsiol. Issled. 94, 163–173. [In Russian with English summary.]Google Scholar
Goujon, C., Barnola, J.M. and Ritz, C.. 2003. Modeling the densification of polar firn including heat diffusion: application to close-off characteristics and gas isotopic fractionation for Antarctica and Greenland sites. J. Geophys. Res., 108(D24), 4792. (10.1029/2002JD003319.)Google Scholar
Lipenkov, V.Ya., Salamatin, A.N. and Duval, P.. 1997. Bubbly-ice densification in ice sheets: II. Applications. J. Glaciol., 43(145), 397–407.Google Scholar
Lipenkov, V.Ya., Ekaykin, A.A., Barkov, N.I. and Purshe, M.. 1998. O svyazi plotnosti poverkhnostnogo sloya snega v Antarktide so skorost’yu vetra [On connectionof density of surface ice layer in Antarctica with wind velocity]. Mater. Glyatsiol. Issled. 85, 148–158. [In Russian with English summary.]Google Scholar
Lipenkov, V.Ya., Ryskin, O.A. and Barkov, N.I.. 1999. O svyazi mezhdu kolichestvom vozdushnykh vklyucheniy vo l’du i isloviyami l’doobrazovaniya [Relationship of number of air inclusions in ice with ice formation conditions]. Mater. Glyatsiol. Issled. 86, 75–92. [In Russian with English summary.]Google Scholar
Martinerie, P., Raynaud, D., Etheridge, D.M., Barnola, J.M. and Mazaudier, D.. 1992. Physical and climatic parameters which influence the air content of polar ice. Earth Planet. Sci. Lett., 112(1–4), 1–13.CrossRefGoogle Scholar
Martinerie, P., Lipenkov, V.Ya., Raynaud, D., Chappellaz, J., Barkov, N.I. and Lorius, C.. 1994. Air content paleo record in the Vostok ice core (Antarctica): a mixed record of climatic and glaciological parameters. J. Geophys. Res., 99(D5), 10,565–10,576.Google Scholar
Nishio, F. and 13 others. 2002. Annual-layer determinations and 167 year records of past climate of H72 ice core in east Dronning Maud Land, Antarctica. Ann. Glaciol., 35, 471–479.Google Scholar
Raynaud, D., Lipenkov, V., Lemieux-Dudon, B., Duval, P., Loutre, M.-F. and Lhomme, N.. 2007. The local insolation signature of air content in Antarctic ice. A new step toward an absolute dating of ice records. Earth Planet. Sci. Lett., 261(3–4), 337–349.Google Scholar
Salamatin, A.N., Lipenkov, V.Ya. and Blinov, K.V.. 1997. Reconstruction of past climatic variations of temperature on the Antarctic ice sheet surface from temperature measurements in deep boreholes at Vostok station. Mater. Glyatsiol. Issled. 81, 141–146.Google Scholar
Salamatin, A.N., Lipenkov, V.Ya., Barnola, J.M., Hori, A., Duval, P. and Hondoh, T.. 2006. Basic approaches to dry snow–firn densification modeling. Mater. Glyatsiol. Issled. 101, 3–16.Google Scholar
A.N., Salamatin, Lipenkov, V.Ya., Barnola, J.M., Hori, A., Duval, P. and Hondoh, T.. In press. Snow–firn densification in polar ice sheets. In Hondoh, T., ed. Physics of ice core records, Vol. 2. Sapporo, Hokkaido University Press.Google Scholar
Schwander, J. 1989. The transformation of snow to ice and the occlusion of gases. In Oeschger, H. and Langway, C.C. Jr, eds. The environmental record in glaciers and ice sheets. Chichester, etc., John Wiley and Sons, 53–67.Google Scholar
Schwander, J., Sowers, T., Barnola, J.M., Blunier, T., Fuchs, A. and Malaizé, B.. 1997. Age scale of the air in the Summit ice: implication for glacial–interglacial temperature change. J. Geophys. Res., 102(D16), 19,483–19,493.Google Scholar
Figure 0

Table 1. Snow/firn densification parameters

Figure 1

Fig. 1. The best-fit estimates of the products Bhρ02/ρc5 and Btρ02/ρc5 vs temperature T (solid and open circles) deduced by Salamatin and others (in press) from the 22 ice-core density profiles over the Antarctic and Greenland ice sheets at ρc given by Equation (5) as compared to Equation (6) (solid line) and the mean-square approximation (dashed line).

Figure 2

Fig. 2. The exponent factor γ as a function of the ratio (1 – ρc)/(1 – ρ0) on the righthand side of Equation (8).

Figure 3

Table 2. Climatic conditions and close-off characteristics at Vostok and H72 sites

Figure 4

Fig. 3. Comparison of the relative density–depth profiles predicted by Equations (7) and (8) at the Vostok (a) and H72 (b) sites with the observational data (Lipenkov and others, 1997; Nishio and others, 2002).