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Temporal and spatial variability of surface mass balance at Dome Fuji, East Antarctica, by the stake method from 1995 to 2006

Published online by Cambridge University Press:  08 September 2017

Takao Kameda
Affiliation:
Snow and Ice Research Laboratory, Kitami Institute of Technology, Koen-cho 165, Kitami 090-8507, Japan E-mail: kameda@mail.kitami-it.ac.jp
Hideaki Motoyama
Affiliation:
National Institute of Polar Research, Kaga 1-9-10, Itabashi-ku, Tokyo 173-8515, Japan
Shuji Fujita
Affiliation:
National Institute of Polar Research, Kaga 1-9-10, Itabashi-ku, Tokyo 173-8515, Japan
Shuhei Takahashi
Affiliation:
Snow and Ice Research Laboratory, Kitami Institute of Technology, Koen-cho 165, Kitami 090-8507, Japan E-mail: kameda@mail.kitami-it.ac.jp
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Abstract

The surface mass balance (SMB) at Dome Fuji, East Antarctica, was estimated using 36 bamboo stakes (grid of 6 × 6, placed at 20 m intervals) from 1995 to 2006. The heights of the stake tops from the snow surface were measured at 0.5 cm resolution twice monthly in 1995, 1996, 1997 and 2003, and once a year for the rest of the study period. To account for snow settling, the average snow density at the stake base during the measurements was used for converting the stake-height data to SMB. The annual SMB from 1995 to 2006 at Dome Fuji was 27.3 ± 1.5 kg m−2 a−1. This result agrees well with the annual SMB from AD 1260 to 1993 (26.4 kg m−2 a−1) estimated from volcanic signals in the Dome Fuji ice core. Over the period 1995–2006, there were 37 (8.6% of the measurements) negative or zero annual SMB results. Variation in the multi-year averages of annual SMB decreased with the square root of the number of observation years, and 10 years of observations of a single stake allowed the estimation of annual SMB at ±10% accuracy. The frequency distributions of annual and monthly SMB were examined. The findings clarify the complex behavior of the annual and monthly SMB at Dome Fuji, which will be common phenomena in areas of low snow accumulation of the interior of the Antarctic ice sheet.

Information

Type
Research Article
Copyright
Copyright © International Glaciological Society 2008
Figure 0

Fig. 1.Location of Dome Fuji, East Antarctic ice sheet. The locations of Vostok, Dome C, South Pole and Syowa station are also shown.

Figure 1

Fig. 2.Position and array of the 36-stake farm at Dome Fuji.

Figure 2

Fig. 3.(a) Depth region of the average stake base for each year. (b) Time series of ρSMB for SMB calculations.

Figure 3

Fig. 4.(a) SMB from 13 January 2003 to 15 January 2004 at Dome Fuji at intervals of 14–17 days. (b) Cumulative SMB from 13 January 2003 at Dome Fuji. Standard deviation for the 36 stakes and standard error (standard deviation of the mean) are indicated by large and small error bars, respectively.

Figure 4

Fig. 5.Examples of (a) relatively flat (31 March 2003) and (b) slightly rough (30 September 2003) snow surfaces at the 36-stake farm at Dome Fuji.

Figure 5

Fig. 6.Time series of the SMB from 1995 to 2006 at Dome Fuji. The standard deviation for the 36-stake farm and standard errors (standard deviation of the means) are indicated by large and small error bars, respectively.

Figure 6

Table 1.Annual SMB (kg m−2 a−1) measurements at each stake at Dome Fuji from January 1995 to January 2007. Data obtained from January 2006 to January 2007 are shown in the ‘2006’ column. The numbering system of the stakes is given in Kameda and others (2007). Lower righthand corner: 19.9 is the SD of all stake data during the 12 year period; 5.3 is the SD calculated from the annually averaged SMB from 1995 to 2006; 1.8 is the SD calculated from the spatially averaged SMB from 1995 to 2006. Negative or zero SMB values are given in bold

Figure 7

Fig. 7.Relation between the surface mass balance in year n and year n + 1 for each stake from 1995 to 2006. Pairs of stake data in two successive years (e.g. 1995 and 1996, 1996 and 1997) are used.

Figure 8

Fig. 8.(a) The annual SMB using multi-year averages from January 1995, with SD (large error bars) and SE (small error bars). The first data point is the SMB with SD and SE error bars for January 1995 to January 1996 (i.e. over 1 year). The second data point shows the results from January 1995 to January 1997 (i.e. over 2 years) and so on. (b) The SD and (c) the SE plotted against the total number of observation years.

Figure 9

Fig. 9.Relation between SMB and number of years of observation required at a single stake for ±10% accuracy in the SMB. Talos Dome (TD), 31 Dpt, GV5 and GV7 are located in Victoria Land, East Antarctica; DF indicates our results for Dome Fuji.

Figure 10

Fig. 10.Occurrence frequency distribution of annual SMB at Dome Fuji from 1995 to 2006, plotted with a normal distribution curve.

Figure 11

Fig. 11.(a) Average monthly SMB at Dome Fuji from January to December in four years (1995–97 and 2003) with the SD of the data (large error bars) and SE (small error bars). (b) Relation between monthly SMB and SD of monthly SMB.

Figure 12

Table 2.Monthly SMB measurements, SD of the SMB and monthly percentages of annual SMB from the four year-long observations in 1995–98 and 2003. The SD of the average (1.3 kg m−2 month−1) was calculated from the monthly SMB

Figure 13

Fig. 12.(a) Variation in monthly average wind speed (filled circles), SD of monthly SMB (open circles) and monthly SMB (open squares) from January to December in four years (1995–97 and 2003). (b) Relation between monthly average wind speed and SD of the SMB from January to December in four years (1995–97 and 2003).

Figure 14

Fig. 13.Occurrence frequency distribution of annual SMB at Dome Fuji from 1995 to 2006 using (a) 1 year of data, (b) 2 years of data and (c) 3 years of data. Pairs of stake data in two successive years (e.g. 1995 and 1996, 1996 and 1997) and three successive years (e.g. 1995–1997, 1996–98) are shown for (b) and (c), respectively. Negative or zero SMB is shaded.

Figure 15

Fig. 14.Relation between annual SMB and frequency of negative or zero SMB at Dome Fuji (DF), Dome C (DC), South Pole (SP) and Vostok (VK). Dotted lines indicate the 95% confidence interval for each dataset.