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Snow accumulation and ice flow at Dôme du Goûter (4300 m), Mont Blanc, French Alps

Published online by Cambridge University Press:  20 January 2017

C. Vincent
Affiliation:
Laboratoire de Glaciologie et de Géophysique de l’Environnement du CNRS, BP 96,38402 Saint-Martin-d’Hères Cedex, France
M. Vallon
Affiliation:
Laboratoire de Glaciologie et de Géophysique de l’Environnement du CNRS, BP 96,38402 Saint-Martin-d’Hères Cedex, France
J. F. Pinglot
Affiliation:
Laboratoire de Glaciologie et de Géophysique de l’Environnement du CNRS, BP 96,38402 Saint-Martin-d’Hères Cedex, France
M. Funk
Affiliation:
Versuchsanstalt für Wasserbau, Hydrologie und Glaziologie, Eidgenössiche Technische Hochschule, CH-8092 Zürich, Switzerland
L. Reynaud
Affiliation:
Laboratoire de Glaciologie et de Géophysique de l’Environnement du CNRS, BP 96,38402 Saint-Martin-d’Hères Cedex, France
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Abstract

Glaciological experiments have been carried out at Dôme du Goûter (4300 m a.s.l.), Mont Blanc, in order to understand the flow of firn/ice in this high-altitude Alpine glacierized area. Accumulation measurements from stakes show a very strong spatial variability and an unusual feature of mass-balance fluctuations for the Alps, i.e. the snow accumulation does not show any seasonal patterns. Measured vertical velocities which should match with long-term mean mass balance are consistent with observed accumulations. Therefore, the measurement of vertical velocities seems a good way of quickly obtaining reliable mean accumulation values for several decades in such a region.

A simple flow model can be used to determine the main flowlines of the glacier and to propose snow/ice age of core samples from the two boreholes drilled down tο the bedrock in June 1994. These results coincide with radioactivity measurements made to identify the well-known radioactive snow layers of 1963 and 1986. We can hope to obtain ice samples 55–60 years old about 20 or 30 m above the bedrock (110 m deep). Below, the deformation of the ice layers is loo great to be dated accurately.

Type
Research Article
Copyright
Copyright © International Glaciological Society 1997

1. Introduction

Very few studies have been carried out on high Alpine glacierized areas (above 1000 m a.s.l.), for obvious reasons: access difficulties, cold temperatures and problems with altitude. Nowadays, these glaciers elicit an increased interest because they are seen to represent precious atmospheric archives and they seem to be suitable for climate and geo-chemical studies. Nevertheless, this kind of research requires knowledge of the firn/ice flow process, and at present this is limited by lack of observation and understanding of the following unusual conditions of the very high Alpine area:

The firn is very thick: it can reach more than 50% of the total thickness and, of course, influences the behaviour of the glacier flow.

The glacier is cold.

Surface conditions are unknown: melting rarely occurs at this altitude, but very little information about accumulation has been collected. For example, nothing is known about the seasonal pattern of mass balance.

Glaciological experiments have been performed at Dôme du Goûter, located at 4300 m a.s.l. on the way to the summit of Mont Blanc (Fig. 1), in order to better understand the flow of firn/ice in this area. The aim of this study is to esiablish the main flowlines and to compare the chronology obtained from a flow model with the results of radioactive measurements made in two deep boreholes. Sections 3–7 deal with the results of glaciological measurements required for the interpretation of ice cores, namely.

accumulation data from stakes;

velocity data from stake surveys;

thickness data from radar measurements; and snow/ice age for ice core samples, from artificial radioactivity methods.

Sections 8 and 9 present a simple firn/ice flow model for determining the snow/ice age of core samples down to the bedrock.

Fig. 1. Location of Dôme du Goûter, Mont Blanc area.

2. Previous Studies

The first studies of snow and glaciers in the vicinity of the Dôme du Goûler summit were carried out by J. Vallot at the end of the 19th century (Reference Vallot,Vallot, 1913). In 1973 and 1974, experiments were carried out by the Laboratoire de Glaciologic of Grenoble (Reference Lliboutry,, Briat,, Creseveur, and Pourchet,Lliboutry and others, 1976) and showed the temperature pattern in the snow from the top of Mont Blanc down to Aiguille du Midi. In 1980, snow was cored 20 m deep at Col du Dôme, and the chronology of core samples was established from beta radioactivity measurements, deuterium and tritium content (Reference Jouzel,, Legrand,, Pinglot,, Pourchet, and Reynaud,Jouzel and others, 1984). In I986, a deep ice core was drilled (70 in deep) near Col du Dôme for geochemical purposes (Reference De Angelis, and Gaudichet,De Angelis and Gaudichet, 1991). In 1990. a surface snow geochemical study-was performed at Col du Dôme and compared to others at very high-altitude sites (Reference Maupetit,Maupetit, 1992). These studies provided some accumulation data; we have used only those for which the geographic positions of the observations are well known, because of the very strong spatial accumulation variability.

3. Accumulation Measurements

Twenty-six stakes (4 or 5 m long) were set up between 6 June 1993 and 22 June 1995 in the snow on Dôme du Goûter (see Fig. 4a), in order to measure both snow accumulation and surface velocity. Ablation is negligible at this altitude, and the annual mass balance can be assimilated to the accumulation. Because of large accumulation values, the stakes were replaced several times; moreover, this site is difficult to access without a helicopter, especially during winter, and a lot of stakes were lost under the snow cover. At each visit, a drilling core or a pit was dug (at stake 4, between the Dôme and the Col du Dôme) in order to determine the snow density near the surface (Fig. 2). For accumulation determination, we suppose that the bottom tip of the stake is attached to the snow; therefore, the accumulation is calculated as the difference in distance between the lower tip of the stake and the surface of the snow for two dates (in water equivalent). The accumulation measurements are summarised in Table 1, together with the precipitation measured in Chamonix

The Dôme du Goûter summit is exposed to very strong winds, a and observed accumulation (stake 1) is very low (about 45 cm w.e. a−1). Because of strong winds in the south of this area (in the vicinity of the pass), accumulation values there (stakes 3 and 12) are low and erratic. In the northeast part, by contrast, one can observe very high accumulations (2–4 m w.e. a−1). Therefore, spatial variability is very important; accumulation can easily be multiplied by two or three, 100 m away. Another important result of these 2 years of observation is that mass balance does not show any seasonal pattern: summer and winter accumulations are very similar (like the precipitation data for Chamonix).

Fig. 2. Surface density measurements from pits and drilling core.

The observed accumulations have been compared with precipitation at Chamonix for the same period (Fig 3). Stake measurements from areas exposed to strong winds are not taken into account, because they are not representative of local precipitation. Proportional functions between each stake measurement and the Chamonix precipitation are determined (1.3, 1.7 or 2.3; cf. Fig. 3) in order to estimate missing values in Table 1 and to calculate mass balance from 1 June to 31 May for 1993–94 and 1994–95 (Fig. 4b and c).

4. Vertical Velocities and Long-Term Mass Balances

Vertical velocities have been determined from topographic surveys (Table 2) and slope corrections. Vertical velocities were calculated from ws=w-utanα, where u and w are the measured horizontal and vertical components of the surface velocity and tan α is the surface slope (Reference Paterson,Paterson, 1981). These values as an independent result from direct accumulation measurements, expressed in m w.e., should match the long-term average mass balances if we suppose the Dôme glacier is in steady state (Fig. 4d). The spatial distribution of the vertical velocities data seems to be in good agreement with observed accumulations during 1993–94 and 1994–95 (Fig. 4b and c). Annual mean Chamonix precipitation is 1.25 m w.e. between 1959 and 1995. In 1993–94, we can see that Chamonix precipitation (1.36 m w.e. a−1) is very close to this mean value, and the Dôme’s accumulations are also close to the vertical velocities (except for stake 26 at Col du Dôme and stake 5). By the way. although vertical velocities require positioning measurements and slope determination, they seem to provide the best way of easily obtaining reliable mean accumulation values for several decades.

Table 1. Observed accumulations at Dône du Goûter (cm w.e.) and estimated annual mass balance (1 June– 31 May; cm water)

Fig. 3. Observed accumulation (cm water) at Dôme du Goûter with Chamonix precipitation (for different time lapse).

Fig. 4. (a) Surface topography, stakes, and annual horizontal velocities (m a−1) in italics. (b) Observed accumulation, 1993–94 (m w.e.a−1). (c) Observed accumulation, 1994–95 (m w.e.a−1). (d) Measured vertical velocities (m w.e. a−1).

Table 2. Horizontal and vertical velocities; stakes were observed with topographic means on 6 June 1993, 29 September 1993 and 31 May 1994. (Two or three values are some-times given for different periods observed, in order to show the scattering of the values)

5. Horizontal Velocities (Fig. 4a)

Horizontal velocities have been estimated from the position of the bottom tip of these stakes, considering tilt and orientation of the stakes (two points have been measured along each stake at each observation). Because of the slope and the strong creep of snow, stakes tilt with time, and observed tilt can reach a deviation of 20° from the vertical in steep slopes. Figure 4a shows that horizontal velocities are more or less perpendicular to contour lines. Furthermore, the observed tilts of the stakes after a few months suggest that a large part of horizontal velocities is attributable to firn deformation (about 80 m thick at the drillhole site shown in Figure 4a).

6. Radioactive Dating of Ice Cores

The radioactive fallout from atmospheric thermonuclear tests (Reference Picciotto, and Wilgain,Picciotto and Wilgain, 1963), conducted mainly in 1954 and 1961–62, and from the Chernobyl accident in 1986 (Reference Pourchet,, Pinglot,, Reynaud, and Holdsworth,Pourchct and others, 1988) provide well-known radioactive levels in glaciers, and enable an absolute dating. Ice cores have been drilled in the Dôme du Goûter area since 1973 (see Table 4). After density measurements, the snow samples were melted and filtered (Reference Delmas, and Pourchet,Delmas and Pourchet, 1977), then analyzed in the laboratory for global-beta (Reference Pinglot, and Pourchet,Pinglot and Pourchet, 1979) and gamma radioactivity (Reference Pinglot, and Pourcher,Pinglot and Pourchet, 1994).

6.1. Spatial accumulation variation

Analysis of samples from ice cores drilled in 1976, about 200 m southeast of stake 26 at Col du Dôme (P2), showed a mean annual accumulation (МАA) of about 0.34 m w.e. a−1 (1970–76), with a large annual variability by a factor of 2 (personal communication from M. Pourchet, 1995). A 20 m ice core (P11) was taken out in 1980 precisely at the saddle of Col du D–me (Reference Jouzel,, Legrand,, Pinglot,, Pourchet, and Reynaud,Jouzel and others, 1984), close to stake 26. The MAA was 1.09 ± 0.23 m w.e. a−1 (1970–79). In the neighbourhood of Col du D–me, a MAA of 1.75 m w.e. a−1 for 1988–90 was determined (Reference Maupetit,, Wagenbach,, Weddenking, and Delmas,Maupetit and others, 1995). In 1993, shallow ice cores were also taken for Chernobyl determination: at the summit of Dôme du Goûter (P20), the МAA is 0.61 m w.e. a−1 (1986–93), as compared with 0.45 m w.e.a−1 (1993–95) measured with stakes.

6.2. Effect of wind on 137Cs redistribution

Strong winds scour the Dôme summit and remove snow continually. The 137Cs from Chernobyl deposits clearly confirms this fact. An intermediate ice core (P15, at the saddle of Col du Dôme; 4250 m: December 1986) showed a l37Cs deposit of 538 B q m−2 (Reference Pourchet,, Pinglot,, Reynaud, and Holdsworth,Pourchet and others, 1988) from Chernobyl. At the Dôme summit the remaining deposit is as low as 10 B q m−2, while at drilling site 2 it is 3000 B q m−2. However, for drilling site 1 (30 m away), the Chernobyl deposit is only 25 B q m−2, demonstrating the effect of wind scouring on short-duration events like Chernobyl. The 137Cs front thermonuclear-test fallout (at time of deposition, in 1963) is 3000 Bq m−2 for both ice cores. As can be seen, the 137Cs fallout from Chernobyl can be as large as from the nuclear tests (ice core 2).

6.3. Deep ice cores

In 1986. a deep ice core was drilled (70 m; P14) but without an accurate geographic position: its location is at least 100 m away from Col du Dôme, not very far from the 1994 deep drilling cores.The 1963 thermonuclear-tests deposit was detected at 55.7 m depth. As previously determined in this 1986 ice core (Reference Pinglot, and Pourcher,Pinglot and Pourchet, 1995), the thermonuclear-tests layer presents two distinct maxima, in 1962 and 1963 (Table 3). In 1994, the 137Cs radioactive layers (1962–63 and 1986 (Chernobyl)) and 210Pb content were determined in both deep ice cores 1 and 2 (Table 3). As will be seen later, it is impossible to neglect the thinning effect (due to vertical strain rate) and the deposit surface origin of deep layers. Interpretation of these ice cores’ dating results requires flow-model computations.

6.4. 210Pb profiles in deep ice cores

210Pb (a natural isotope with 22.3 years half-period from 238U to 226Ra and 222Rn) was jointly determined with 137Cs by gamma spectrometry (Fig. 5). Both profiles (ice cores and 2 in 1994) exhibit three different states. From the surface down to about 85 m, 210Pb decreases, as expected. But there is a strong 210Pb deposition increase roughly by a factor of 6 for ice layers under 85 m, in both ice cores.

Table 3. Depths of layers resulting from atmospheric nuclear tests (1954–55 and 1962–63) and Chernobyl (1986) in deep ice cores

Table 4. Mean annual accumulation and 137Cs fallout from Chernobyl. (Since the drilling holes are shallows, the thinning effect due to vertical strain rate is neglected)

These increases are definitely not due to thermonuclear tests. The disturbed 210Pb signal may be due to the presence of crevasses near the surface-deposit origin point. As much as 28 B q kg−1 of 210Pb concentration was measured on an ice core (P7, near the summit) exposed to in-depth crevasses.

Fig. 5. 137Cs and 210Pb activities at Col da Dôme du Goûter (ice cores 1 and 2; 1994), vs depth.

7. Radar Measurements

Radio-echo soundings were made from 1 to 5 June 1993, along eight profiles. Four additional profiles were measured in June 1994 where determination of the glacier bed was not possible with the measurements of the first campaign. We used radar devices, which were built following the designs of Reference Jones,, Narod, and Clarke,Jones and others (1989) and Reference Wright,, Hodge,, Bradely,, Grover, and Jacobel,Wright and others (1990), i.e. with two output stages which generate inverse pulses. Changes were made in the layout of the free-running pulse generator and in choosing the power devices (Reference Funk,, Gudmundsson, and Hermann,Funk and Others, 1995). The speed of electromagnetic wave propagation in the ice (in our case, cold ice) has been assumed to be identical to the value found at Colle Gnifetti (Monte Rosa, V alais. Switzerland), 175 m μs−1 (Reference Wagner,Wagner, 1994).

In the case of Dôme du Goûter, the determination of the bed topography from the radio-echo travel time is a problem which is much more delicate than for a plane ice shield, because the glacier bed is very rough in the investigated area, with relatively deep, short and narrow valleys.

The field measurements were performed in such a way as to obtain reflections from the glacier bed situated more or less in a vertical plane with the measurement points at the glacier surface, allowing the determination of the glacier bed in two dimensions. The surface of the glacier bed was constructed as an envelope of all ellipse functions, which give all the possible reflection positions to a certain travel time between sending and receiving antennae.

Interpretation of the data obtained was difficult because of multiple reflections from the bottom, characteristic of a rough glacier bed (Reference Fabri,Fabri, unpublished). The radio-echo sounding profiles intersect at several points, allowing results to be checked. The resulting bed geometry is shown in Figure 6.

Fig. 6. Bed topography from radar measurements.

The accuracy of the calculated ice thickness is determined, in part, by the accuracy of the measurement of the time delays and the antenna spacing. Additional errors may arise due to neglect of the passage of the bottom return through a firn layer. If the firn layer is 20 m thick this may give rise to 3–4 m error in the depth estimate. Other errors may arise because the smooth envelope of the reflection ellipses is only a minimal profile for a narrow, deep valley-shape bed topography, with the result that the ellipse equation will be governed by an arrival from a reflector situated toward the side, and thus not directly beneath the point of observation. One can easily imagine a glacier bed geometry for which no density of observation will yield the correct depth near the centre of a valley-shape bed topography. Further errors may be introduced by assuming that all reflection points lie in the plane of the profile rather than an ellipsoid. These errors may be important in our case, because the bed topography changes rapidly in all directions. The two boreholes reached the glacier bed at 126 and 140 m. The ice thickness as derived from the radio-echo soundings at the same sites is 122 and 130 m, respectively. The agreement is seen to be excellent, 4 and 10 in difference between the radio-echo and borehole depths.

8. Flow Model and Age of Ice as Function of Depth

Artificial radioactivity measurements allow us to identify with confidence the 1986 and 1963 snow layers. Nevertheless, it is difficult to determine the age of the lower part of the core and to estimate the thickness of annual layers. For this purpose and for the determination of the mean thickness of each annual layer down to the bedrock, a flow model can provide useful information about the age of the firn/ice of the lower part of the ice core. Reference Gagliardini,Gagliardini (1995) developed a two-dimensional flow model based on mechanical concepts. Here, a simple two-dimensional flow model was developed assuming that the glacier thickness has not changed significantly since the beginning of the 20th century. This assumption is supported by the dynamic behaviour of the glacier (vertical velocity measurements) which has been shown to be close to steady slate. In the model, the mass conservation is considered, in order to obtain the balance horizontal velocity. The mass continuity equation is solved:

where H(x) is thickness, b(x) is mass balance (m water a−1), x is distance from the Dôme (m), u m is mean velocity, and [H(x)]/∂t is the thickness variation with time assumed to be 0.

From this equation, the mean balance velocity can be computed for each section. The depth profile of horizontal velocity is derived from the analytical model given by Reference Lliboutry,Lliboutry (1981):

where u(z, H) is the horizontal velocity at depth z, H is the glacier thickness and n is the Glen flow-law exponent (n = 3). The ice temperature is –11° C near the bedrock (personal communication from C. Rado, 1995) and the sliding velocity is assumed to be 0. As a result, the mean horizontal velocity is equal to 80% of the surface horizontal velocity. The vertical velocilv w(x, z) is calculated using mass continuity for the local element:

Thisgives (Reference Ritz,Ritz, 1987):

where the last term, from u(x, z) to the end of the equation, is called kinematic vertical velocity, b(x) is mass balance (m water a−1), z is depth (m), H (x) is thickness (m), u(x, z) is horizontal velocity, ∂H(x)/∂x is thickness variation, ∂E(x)/∂x is altitude surface variation, and w[x,(H(x))]=b(x) at surface and 0 at bedrock.

Fig. 7. Vertical transect from Dôme du Goûter to drilling site 2 with flowlines (dash) and isochrones.

Horizontal and vertical velocities expressed in m water a−1 are then converted by the following relations:

where u w is horizontal velocity in m water a−1, u s is horizontal velocity in m snow or ice a−1, w w is vertical velocity in m water a−1, w s is vertical velocity in m snow or ice a−1, and ρ is local density. Density measured in the borehole is assumed to be representative for the whole firn.

Fig. 8. Surface horizontal velocities from the model results (divergence of 0% and 25%) and measurements.

Fig. 9. Snow age vs depth from model results and radioactivity measurements (1986 and 1963). Sensitivity to thickness variation (±10 m).

Fig. 10. Snow age vs depth from model result and radioactivity measurements (1986 and 1963). Sensitivity to mass balance variation (±3 standard deviation).

Such a model does not take into account the mass-balance change with time; it considers the mean mass balance obtained from vertical velocities (Fig. 4d).

This model takes into account horizontal flowline divergence by corrections on flux along the main flow line. Nevertheless, measured horizontal velocity directions are almost parallel (Fig. 4a) and horizontal flowline divergence is neglected at first.

Finally, calculated velocity vectors allow us to determine flowlines (Fig. 7) and the ice age from Dôme du Goûter to the drill site. Horizontal velocity values are shown in Figure 8 and have been compared with surface measurements.

9. Results of Flow Model

The sensitivity of the ice age proposed for ice core 2 has been studied for some parameters. Figure 9 shows the sensitivity to thickness variation; a variation of bedrock elevation (± m), applied on the profile from the Dôme to the drilling core, involves an uncertainty of ±6 years at 110 m depth. Figure 10 shows the sensitivity to the mass-balance variation; for this purpose, the standard deviation (20 cm w.e.) of the Chamonix precipitation is multiplied by 3 to obtain an estimation of the standard deviation (σ = 60 cm w.e.) of the mass balance at Dôme du Goûter (according to the results of accumulation measurements ). Therefore, uncertainties equal to

, where n is the number of years from now, were introduced in the model, and the age of the ice core has been obtained from these calculations (Fig. 10).

Fig. 11. Snow age vs depth from model results and radioactivity measurements (1986 and 1963). Sensitivity to divergence (50% and 25%).

Sensitivity to the horizontal divergence of the flowlines is shown in Figure 11. A divergence value of 50% (discharge/2) gives results similar to the results without divergence. That means that the model is not very sensitive to horizontal velocity modifications. On the other hand, Figures 12–14 confirm the sensitivity of the model to the vertical velocity pattern. First, the sensitivity of the model was studied according to glacier thickness at the site of the drilling core (Fig. 12). Since the model forces the bottom flow-lines to follow the bedrock whatever the profile of the bedrock, the thickness at the drilling site direcly influences the vertical velocity at this site. This effect shows the limits of such models.

Fig. 12. Snow age vs depth from model results. Sensitivity to the depth of drilling hole (±10 m).

Fig. 13. Snow age vs depth from model results and radioactivity measurements (1986 and 1963). Sensitivity to vertical strain rate (constant and non-constant strain rate).

Fig. 14. Snow age vs depth from model results and radioactivity measurements (1986 and 1963). The dashed line does not take into account the kinematic vertical velocity.

Fig. 15. Annual thickness layer vs depth from the model results in the drillhole, and mass balance at the origin point of the layer.

Furthermore, it can be seen that the model is very sensitive to the vertical strain rate. A constant vertical strain rate, for which vertical velocity is b(1-z)/H, where b is the mass balance, z is the depth, and H is the thickness, gives very different results (Fig. 13).

Finally, the effect of the kinematic vertical velocity (see section 8) was analyzed (this term allows the bottom flowlines to follow the bedrock). When this parameter is deleted, the model indicates an age of the ice core which is older than inferred from radioactivity measurements (Fig. 14). Thus, it seems that the calculated age is not very sensitive to uncertainties on surface conditions (mass-balance variation) and bottom conditions (bedrock topography uncertainty) between Dôme du Goûter and the drilling site (that does not mean a good knowledge of absolute values of these parameters is not required). However, the parameters linked to the vertical velocity at the drilling site are predominant: vertical strain rate, thickness and mass balance at the drilling site.

Figure 8 allows us to compare the horizontal velocities obtained from the model and the measured velocities. Although the uncertainties about measured velocities ate large, it can be seen that the calculated velocities are too high. These differences can be explained by horizontal divergence of the flowlines (about 20–30%) without changing the ice age (Fig. 11). In Figure 15, the mean thickness of annual layers in the drillhole is calculated according to depth. Below 110 m, layers are very thin. In the same figure, the mass balance at the beginning of the flow line is shown. This offers the possibility of distinguishing the parameters which lead to thinning of layers: the deformation of ice layers due to the strain rate, and the spatial distribution of mass balance between the Dôme and the drilling site.

10. Conclusions

The glaciological surveys carried out on Dôme du Goûter show an important spatial distribution of the accumulation: the mean accumulation varies from 0.3 m w.e. a−1 at the top of the Dôme to 3.0 m w.e. a−1 in the vicinity of the drilling cores. In addition, an unusual feature of mass-balance fluctuations in the Alps has been pointed out: the snow accumulation in this high-altitude Alpine glacierized area does not show any seasonal pattern: summer and winter mass balances are very similar, which has not often been observed in the Alps. Furthermore, the observed spatial distribution of the accumulation seems to be very similar to the vertical velocities obtained from topographic measurements of the stakes. These values, as an independent result from direct accumulation measurements, match the long-term average mass balances for steady-state conditions. Therefore, the measurement of vertical velocities is a good way of quickly obtaining the reliable mean accumulation values for several decades in such a region.

The flow model described in this paper provides useful information about the firn/ice cotes made down to the bedrock. It can be shown that, with a simple flow model and some precautions (for example, taking into account the kinematic vertical velocity connected with the bedrock shape), a reliable age/depth relation can be obtained, a result which is supported by radioactivity measurements (1963 and 1986 events).

Acknowledgements

This study was supported by the Région Rhône–Alpes and the Ministère de l’Environnement, France.

We would like to thank our colleagues who took part in fieldwork, and especially those who made measurements by going on foot: I. Serjhal, E. Lemeur, M. Т. Vincent, О. Gagliardini and P. Mansuy.

References

De Angelis,, M. and Gaudichet,, A. 1991. Saharan dust deposition over Mont-Blanc (French Alps) during the last 30 years. Tellus., 43B, 6175.CrossRefGoogle Scholar
Delmas,, R. and Pourchet,, M. 1977. Utilisation de filtres échangeurs d’ions pour l’étude de l’activité α globale d’un carottage glaciologique. International Association of Hydrological Sciences Publication. 118 (Symposium at Grenoble 1975Isotopes and Impurities in Snow and Ice.), 159163.Google Scholar
Fabri,, K. Unpublished. Eisdickenmessungen im Aaregletschergeniet, eine Anwendung von Radio-Echo-Sounding. Zürich, ETH, Praktikusmarbeit an der VAW unter Anleitung von M. Funk und G. Meyer.Google Scholar
Funk,, M., Gudmundsson,, G. H. and Hermann,, F. 1995. Geometry of the glacier bed of the Unteraarglacier, Bernse Alps, Switzerland. Z. Gletscherkd. Glazialogeol., 30, 1994, 187194.Google Scholar
Gagliardini,, O. 1995. Contribution à la simulation de l;écoulement du Dôme du Goûter (Massif du Mont-Blanc). Grenoble, Université Jopesh Fourier. Laboratoire de Glaciologie et de Géephysique de l’Environment. (Mémoire de D.E.A.)Google Scholar
Jones,, F. H. M., Narod,, B. B. and Clarke,, G. K. C. 1989. Design and operation of a portable, digital impulse radar. J. Glaciol., 35(119), 143148.Google Scholar
Jouzel,, J., Merlivat,, L. and Pourchet,, M. 1977. Deuterium, tritium, and β activity in a snow core taken on the summit of Mont Blanc (French Alps). Determination of the accumulation rate. J. Glaciol., 18(80), 465470.CrossRefGoogle Scholar
Jouzel,, J., Legrand,, M. R., Pinglot,, J. F., Pourchet,, M. and Reynaud,, L. 1984. Chronologie d’un carottage de 20 m au Col du Dôme (Massif du Mont-Blanc). Houille Blanche., 1984(6–7), 491497.Google Scholar
Lliboutry,, L. 1981. A critical review of analytical approximate solutions for steady state velocities and temperatures in cold ice-sheets. Z. Gletscherkd. Glazialgeol., 15(2), 1979, 135148.Google Scholar
Lliboutry,, L., Briat,, M., Creseveur,, M. and Pourchet,, M. 1976. 15 m deep temperatures in the glaciers of Mont Blanc (French Alps). J. Glaciol., 16(74), 197203.Google Scholar
Maupetit,, F. 1992. Chimie de la neige de trés haute altitude dans les Alpes françaises. (Thèse de doctorat, Université Paris VII and Laboratoire de Glaciologie et de Géophysique de l’Environnement, Grenoble.) Google Scholar
Maupetit,, F., Wagenbach,, D., Weddenking,, P. and Delmas,, R. J. 1995. Seasonal fluxes of major ions to high altitude cold alpine glacier. Atmos. Environ., 29(1), 19.Google Scholar
Paterson,, W. S. B. 1981. The physics of glaciers. Second edition. Oxford, etc., Pergamon Press.Google Scholar
Picciotto,, E. and Wilgain,, S. 1963. Fission products in Antarctic snow, a reference level for measuring accumulation. J. Geophys. Res., 68(21), 59655972.Google Scholar
Pinglot,, J. F. and Pourchet,, M. 1979. Low-level beta counting with an automatic sample changer. Nucl. Instrum. Methods., 166(3), 48349.CrossRefGoogle Scholar
Pinglot,, J. F. and Pourcher,, M. 1994. Spectrométrie gamma à trés bas niveau avec anti-Compton NaI (Tl), pour l’étude des glaciers et des sédiments. CEA Note. 2756, 291–296. (Journées de Spectrométric Gamma et X 93, CEA-DAMRI, 12–14 October 1993, Paris, France.)Google Scholar
Pinglot,, J. F. and Pourcher,, M. 1995. Radioactivity measurements applied to glaciers and lake sediments. Sci. Total Environ., 173–174, 211223.CrossRefGoogle Scholar
Pourchet,, M., Pinglot,, J. F., Reynaud,, L. and Holdsworth,, G. 1988. Identification of Chernobyl fall-out as a new reference level in Northern Hemisphere glaciers. J. Glaciol., 34(117), 183187.CrossRefGoogle Scholar
Ritz,, C. 1987. Time dependent boundary conditions for calculation of temperature fields in ice sheets. International Association of Hydrological Sciences Publication. 170 (Symposium at Vancouver 1987 — The Physical Basis of Ice Sheet Modelling.), 207216.Google Scholar
Vallot,, J. 1913. Valeur et variation de la température profonde du glacier, au Mont-Blanc. C. R. Hebd. Séances Acad. Sci. (Paris), 156(20), 15751578.Google Scholar
Wagner,, S. 1994. Dredimensionale Modellierung zweir Glestscher und Deformationsanalyse von eisreichem Permafrost. (Ph.D. thesis, ETH, Zürich. Dissertation 10659.)Google Scholar
Wright,, D. L., Hodge,, S. M., Bradely,, J. A., Grover,, T. P. and Jacobel,, R. W. 1990. A digital low-frequency, surface-profiling ice-radar system, J. Glaciol., 36(122), 112121.Google Scholar
Figure 0

Fig. 1. Location of Dôme du Goûter, Mont Blanc area.

Figure 1

Fig. 2. Surface density measurements from pits and drilling core.

Figure 2

Table 1. Observed accumulations at Dône du Goûter (cm w.e.) and estimated annual mass balance (1 June– 31 May; cm water)

Figure 3

Fig. 3. Observed accumulation (cm water) at Dôme du Goûter with Chamonix precipitation (for different time lapse).

Figure 4

Fig. 4. (a) Surface topography, stakes, and annual horizontal velocities (m a−1) in italics. (b) Observed accumulation, 1993–94 (m w.e.a−1). (c) Observed accumulation, 1994–95 (m w.e.a−1). (d) Measured vertical velocities (m w.e. a−1).

Figure 5

Table 2. Horizontal and vertical velocities; stakes were observed with topographic means on 6 June 1993, 29 September 1993 and 31 May 1994. (Two or three values are some-times given for different periods observed, in order to show the scattering of the values)

Figure 6

Table 3. Depths of layers resulting from atmospheric nuclear tests (1954–55 and 1962–63) and Chernobyl (1986) in deep ice cores

Figure 7

Table 4. Mean annual accumulation and 137Cs fallout from Chernobyl. (Since the drilling holes are shallows, the thinning effect due to vertical strain rate is neglected)

Figure 8

Fig. 5. 137Cs and 210Pb activities at Col da Dôme du Goûter (ice cores 1 and 2; 1994), vs depth.

Figure 9

Fig. 6. Bed topography from radar measurements.

Figure 10

Fig. 7. Vertical transect from Dôme du Goûter to drilling site 2 with flowlines (dash) and isochrones.

Figure 11

Fig. 8. Surface horizontal velocities from the model results (divergence of 0% and 25%) and measurements.

Figure 12

Fig. 9. Snow age vs depth from model results and radioactivity measurements (1986 and 1963). Sensitivity to thickness variation (±10 m).

Figure 13

Fig. 10. Snow age vs depth from model result and radioactivity measurements (1986 and 1963). Sensitivity to mass balance variation (±3 standard deviation).

Figure 14

Fig. 11. Snow age vs depth from model results and radioactivity measurements (1986 and 1963). Sensitivity to divergence (50% and 25%).

Figure 15

Fig. 12. Snow age vs depth from model results. Sensitivity to the depth of drilling hole (±10 m).

Figure 16

Fig. 13. Snow age vs depth from model results and radioactivity measurements (1986 and 1963). Sensitivity to vertical strain rate (constant and non-constant strain rate).

Figure 17

Fig. 14. Snow age vs depth from model results and radioactivity measurements (1986 and 1963). The dashed line does not take into account the kinematic vertical velocity.

Figure 18

Fig. 15. Annual thickness layer vs depth from the model results in the drillhole, and mass balance at the origin point of the layer.