1. Introduction
The glaciological component of the German Antarctic research programme comprises:
(a) determination of annual snow-accumulation rates. Such data are indispensable for all investigations related to mass-balance studies;
(b) investigation of the particle paths through an ice shelf, in connection with the annual layering known from ice-core studies;
(c) investigation of the functional relation between the isotope content (18O/16O, 2H/1, 3H/1H) of accumulated snow and ice, and the climatic environment.
Areas under investigation for this project are Ekström Ice Shelf, where the permanent German Antarctic research station Georg von Neumayer is located, and Filchner-Ronne Ice Shelf. Sampling started in the summer season 1979-80 during the German pre-site survey (Reference ReinwarthReinwarth 1981) and has continued since then. Preliminary results of the earlier investigations have been published byReference Reinwarth, Rauert, Stichler and Moser Reinwarth and others (1982, 1985). During the 1983-84 and 1985-86 field seasons, extended glaciological investigations were carried out on Filchner-Ronne Ice Shelf, comprising snow-pit studies and ice-core drilling 220 km from the ice edge. The study of the first 90 m of the 100 m ice core from point 340 (cf. Fig. 1) has been described by Reference Graf, Reinwarth, Moser and StichlerGraf and others (1988).
2. Sampling
Figure I shows the area under investigation. The points at which snow samples were taken are indicated. Sampling points 140, 141, 240, 241, 340, and 341 are measuring sites of the Filchner I traverse in 1983-84 (Reference Reinwarth, Lange and BässlerReinwarth and others 1984). During the Filchner II operation in 1985-86 samples were taken again at points 240, 241, 340, and 341. The new points 335, 330, 231, 230, and 131 are located in the more central part of Ronne Ice Shelf, and point 345 lies east of the first traverse. Sampling during 1985-86 was carried out by the Institute of Environmental Physics at the University of Heidelberg. Point 340 was the drilling site for the ice core described in section 4. The Filchner III operation (planned for 1986-87), which was to comprise new drilling and snow-pit studies at locations south of point 341, had to be abandoned, so that no information is available on accumulation, flow velocity, and strain-rates in this part of Ronne Ice Shelf. Such data would not only be very helpful for completing the maps of accumulation rates and 18O content, but also for the interpretation of the ice-core results.
3. Snow-Pit Studies
3.1 Isotope content
Samples for 18O analysis were collected at 5 cm intervals from the walls of snow-pits, so that on average each annual layer is represented by 8-10 samples. Figure 2 is a compilation of all the profiles of the 18O content of locations at which snow samples were taken in 1984 and 1986. At sites where samples were taken twice, i.e. in 1984 and 1986, we have a record through six summer seasons which dates back to 1979; at the other sites, between 2 and 5 years’ accumulation are detectable.
All isotope profiles allow clear recognition of the annual layers, which can then be used to determine annual accumulation rates (see section 3.2). The decrease in 18O content after the summer maximum at the beginning of the new winter season has been used to indicate the limits of the accumulation for 1 year.
The annual means of the δ18O values range between −24.6 ± 0.8‰ at point 140 (see Reference Reinwarth, Graf, Stichler, Moser and OerterReinwarth and others 1985) and −29.6 ± 1.6‰ at point 345. The 1983 layer was sampled twice (during 1984 and 1986) at points 240, 241, and 341. The 18O content varies only within the measuring accuracy, whereas amounts of accumulation differ by 10, 12, or 20% respectively (cf. Fig. 4), as will be shown below. This signifies that the isotope content will not be affected by the structure of the snow surface as much as the amount of accumulation. The same effect had already been noticed (Reinwarth and others 1985) when snow-pits dug in different years at adjacent sites were compared.
The spatial distribution of the 18O content can give an indication of atmospheric water-vapour transport. However, at some points too few annual layers are available for a good interpretation of the spatial distribution of 18O content (Fig. 3), and the lack of data from the Filchner III traverse is regrettable, since it could have provided the needed samples. A decrease in the 18O content with increasing distance from the ice edge towards Möllereisstrom (cf. Fig. 1), and also westwards along the ice edge, is clearly recognizable in Figure 3. This may be explained by transport of air masses from the north-east. At points 131 and 230, a high 18O content was measured, but the snow-pits include only a few annual layers. Nevertheless, these points indicate a tongue-like pattern in this area of Ronne Ice Shelf.
3.2 Accumulation rates
The determination of the accumulation rates is based on the stratigraphy revealed by the annual variation in the 18O content. Figure 4 shows the accumulation rates for 12 sites at which snow samples were taken during the 1983-84 and 1985-86 field seasons.
The great variation in accumulation from year to year is mainly due to the “roughness” of the snow surface, which has been formed by wind erosion. Obviously, drifting snow fills the hollows between sastrugi and smooths the surface. Thus alternating years of high and low snow accumulation can be found in a snow-pit (Fig. 5). The accumulation determined for the year 1983 at points 240, 24], and 341 differs by 10, 12, and 20% respectively. These differences can be regarded as a measure of the accuracy of the accumulation rates deduced from snow-pit studies. The variability of the layer thickness is also caused by changing amounts of precipitation and the changing intensity of wind erosion from year to year.
To determine accumulation rates which are not strongly influenced by the “roughness” of the snow surface, one has to analyse the annual layering over greater areas or to average it over several years. Snow-pits dug at adjacent sites in different years result in time series which cannot be linked without problems if they contain less than 5 years’ accumulation.
In order to calculate the spatial distribution of the accumulation rates, only time series that cover the same period should be used. This would mean that only data from the 1984-85 and 1985-86 field seasons could be used in the present study. Unfortunately, some locations are then represented by only 2 or 3 years’ accumulation. Therefore it was decided to use the average of all the values available for each location in order to determine the accumulation rates (Fig. 5). Points 230 and 330 show very high accumulation rates but, as the values for these points are based on only 2 or 3 annual layers, one has to consider them as preliminary. In general, Figure 5 displays a decrease in accumulation rate with increasing distance from the ice edge: it decreases from 21.3 g cm−2 a−1 at point 140 (Filchner Station) to 13.7 g cm−2 a−1 at point 341 (270 km south of the ice edge). The gradient is smaller 100 km to the west. There the accumulation rate decreases from 24 gcm−2 a−1 at point 130 (the ice edge) to 21.3 g cm−2a−1 at point 330 (250 km south of point 130).
4. Ice Core T340
The 18O profile of ice core T340 (from 1 to 89 m depth) and a preliminary interpretation of variation in the accumulation rates on Ronne Ice Shelf have been published by Graf and others (1988). For the present study the bottom 11 m of the ice core have been analysed, again with the same high resolution of 1 cm intervals, corresponding to about 10 samples per annual layer. Seasonal variations, which are used for the stratigraphical dating, can clearly be detected also in this part of the 18O profile (Fig. 6).
4.1 Dating of the core and layer thickness
As in snow-pit studies, the decrease in 18O content after a summer maximum was regarded as defining the boundary of an annual layer. Altogether 479 annual layers were found in the profile, although 80 are indicated only by small maxima or as shoulders on larger peaks. However, they are regarded as plausible if the layer thickness is taken into consideration. For ten depth sections not covered by ice cores (5 m altogether), 41 years were inserted in the time-scale, corresponding to the gaps and the layer thicknesses in the adjacent depth ranges. This approach yields an age of probably 520 years for the bottom layer, which was thus deposited in C.A.D. 1460. The thickness of the annual layers (in water equivalent, cm WE) was deduced from this chronology using the experimentally determined density-depth relation and is plotted in Figure 7a, together with the estimated accumulation rate (see section 4.2).
It is obvious that the reliability of the dating and the accuracy of detecting layer thicknesses depend on the quality of the isotopic profile. This, however, is influenced by (among other things) the deposition conditions, wind scouring, and sublimation processes during the transition of snow to ice. In addition, partial melting of the core during storage affected the first 89 m of the 18O profile. Small variations in the 18O content may be obliterated due to both sublimation and melting. Generally the reduction of the amplitudes by sublimation seems to have had less effect on ice core T340 than has been observed in Greenland ice cores (Reference JohnsenJohnsen 1977).
The annual variation in the 18O content (Fig. 7b) may serve as a measure of the quality of the 18O profile. The coincidence of ranges with low 18O amplitudes and high layer thickness or accumulation rates respectively (Fig. 7) does not necessarily indicate that in this depth range the dating of the core fails on account of the weakness of the isotopic profile.
4.2 Estimate of the accumulation rate
Accumulation rates can be inferred from the annual layer thicknesses, if the deformation of the layers since the time of deposition is taken into account, by using (for example) a flow model that describes the particle paths in the ice shelf.
A two-dimensional flow model (Reference ThomasThomas 1973) has already been adapted to give an indication of the particle paths in Ronne Ice Shelf (Graf and others 1988). It describes the trajectory of a layer deposited on the ice shelf, overburdened by new accumulation, densified as it reaches greater depths and modified in thickness as it moves seawards with the ice shelf. The model assumes a freely floating ice shelf, and that the vertical strain-rate is independent of depth. In this study the model was used to calculate: (i) the thinning of the annual layers since the time of deposition, and (ii) the distance along the flow line where the material forming the annual layers was originally deposited. For this purpose the strain-rate and the velocity of the ice along an ice flow line have to be known as input parameters. Because at present these parameters are not available for the area under investigation, values from three-dimensional modelling of Ronne Ice Shelf (Reference Lange and MacAyealLange and MacAyeal 1986) are used.
The calculated thinning of each annual layer since the time of deposition was used to infer from the experimental layer thickness the accumulation rate of the corresponding year (Fig. 8a). On the other hand, the relation between the time and distance of deposition of the material was used to transform the time-dependent accumulation distribution into a local distribution up-stream of the drilling site (Fig. 8a). According to the calculations, the layers at the bottom of the ice core originate from precipitation deposited 248 km up-stream of the drilling site. This result is in good agreement with the estimate based on the decrease in the 18O content of the core with depth, related to the surface gradient as derived from snow-pit studies (Graf and others 1988).
The accumulation pattern (Fig. 8a) shows a marked increase from 1981 back to 1890 and rather high accumulation rates back to 1750, but lower accumulation rates in the seventeenth and sixteenth centuries. One should bear in mind that temporal and local variations have been allowed for. The local variation is known at two sites in the catchment area of the core, i.e. between Berkner Island and Henry Ice Rise, and 50 km up-stream of the drilling site (between points 340 and 341). In the latter area the snow-pit data show a slight decrease in the accumulation rate in the direction of Möllereisstrom (Figs 5 and 1). Thus the increase in the accumulation back to 1890, or between the drilling site and approximately 55 km up-stream (Fig. 8a), has to be interpreted as most probably a temporal variation. For the South Pole region Reference Jouzel, Merlivat, Petit and LoriusJouzel and others (1983) found a decrease of 15% in the mean accumulation rate, from 10 g cm−2 a−1 in the period 1887-1930 to 8.5 g cm−2 a−1 in the period 1930-78. On Ronne Ice Shelf the ice core at point 340 indicates a decrease of 14% for the same periods. For the area between Berkner Island and Henry Ice Rise the accumulation rates deduced from the 18O profile agree well with the 18 g cm−2 a−1 accumulation determined by the Ellsworth traverse in 1957 (Reference Kojima and MellorKojima 1964).
In a second run of the model, the particle paths were calculated, taking into account the additional input parameters of the derived accumulation data along the flow line and the density-depth relation at the drilling site (Fig. 8b).
4.3 The decrease in 18O content with depth
Samples recovered from a single core have various origins because of ice movement. The 18O content of the core decreases with depth as a result of the isotopic continental effect, which fits the linear regression line
δ18O = −27.3 − 0.049z where z is depth in metres.
After subtraction of this trend, the variation in the δ18O content with time and/or depth is given in Figure 7c. The curves show slight variations with time. Similar undulations are displayed by the 2H profile at the South Pole (Jouzel and others 1983), which goes back to AD. 1887. Further work will show whether a temperature variation in the past can be deduced from this profile.
Acknowledgements
The authors wish to express their gratitude to the Alfred-Wegener-Institut für Polar- und Meeresforschung, Bremerhaven, for logistic support, and to the Deutsche Forschungsgemeinschaft, Bonn, for financial support.