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Characteristics of Sea-ice thickness and Snow-depth distributions of the Summer landfast ice in Lützow-Holm Bay, East Antarctica

Published online by Cambridge University Press:  14 September 2017

Shotaro Uto
Affiliation:
National Maritime Research Institute, Shinkawa 6-38-1, Mitaka-shi, Tokyo 181-0004, Japan, E-mail: uto@nmri.go.jp
Haruhito Shimoda
Affiliation:
National Maritime Research Institute, Shinkawa 6-38-1, Mitaka-shi, Tokyo 181-0004, Japan, E-mail: uto@nmri.go.jp
Shuki Ushio
Affiliation:
National Institute of Polar Research, Kaga 1-9-10, Itabashi-ku, Tokyo 173-8515, Japan
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Abstract

Sea-ice observations have been conducted on board icebreaker shirase as a part of the Scientific programs of the Japanese Antarctic Research Expedition. We Summarize these to investigate Spatial and interannual variability of ice thickness and Snow depth of the Summer landfast ice in Lützow-Holm Bay, East Antarctica. Electromagnetic–inductive observations, which have been conducted Since 2000, provide total thickness distributions with high Spatial resolution. A clear discontinuity, which Separates thin first-year ice from thick multi-year ice, was observed in the total thickness distributions in two voyages. Comparison with Satellite images revealed that Such phenomena reflected the past breakup of the landfast ice. Within 20–30km from the Shore, total thickness as well as Snow depth decrease toward the Shore. This is due to the Snowdrift by the Strong northeasterly wind. Video observations of Sea-ice thickness and Snow depth were conducted on 11 voyages Since December 1987. Probability density functions derived from total thickness distributions in each year are categorized into three types: a thin-ice, thick-ice and intermediate type. Such interannual variability primarily depends on the extent and duration of the Successive break-up events.

Information

Type
Research Article
Copyright
Copyright © The Author(s) [year] 2006 
Figure 0

Fig. 1.Sea-ice monitoring System on board shirase.

Figure 1

Table 1.Summary of the Ship-based observations of landfast ice during the outbound voyages of shirase

Figure 2

Fig. 2.Tracks of shirase in the landfast ice during outbound voyages. The tracks are divided into nine legs.

Figure 3

Fig. 3.Interannual variability of the northern edge of landfast Sea ice as measured during shirase’s outbound transects from January 1988 to December 2004.

Figure 4

Fig. 4.Total thickness comparison between EM and drillhole measurements along two transects (top: near Syowa, leg F9; bottom: off Bentenima Island, leg F7).

Figure 5

Fig. 5.Total thickness comparison between EM and video method. The average value in each leg is plotted as a circle. Solid line indicates a least-squares approximation polynomial.

Figure 6

Fig. 6.Total ice thickness as measured along outbound voyages using the EM method. Profiles during outbound voyages of shirase in December 2000 (a), 2002 (b) and 2003 (c) are plotted.

Figure 7

Fig. 7.Noaa Avhrr ch1 or ch4 images of winter (top) and Summer (bottom) landfast ice in Lützow-Holm Bay. Dates are dd/mm/yy. By courtesy of National Institute of Polar Research, Japan.

Figure 8

Fig. 8.Pdf of total thickness estimated from the video method. (a) Four voyages from January 1988 to December 1997. (b) Six consecutive voyages from December 1999 to December 2004. Total thickness data are corrected by equation (1). Thick Solid lines indicate type A, the thickest type of PDF. Dashed lines indicate type B, the thinnest type. Thin Solid lines indicate type C, an intermediate between types A and B.

Figure 9

Fig. 9.Profiles of leg-averaged total thickness distribution by video method. Eight profiles are categorized into (a) type A, (b) type B and (c) type C. Total thickness data are corrected by equation (1).

Figure 10

Fig. 10.Leg-averaged Snow-depth distribution by video method.

Figure 11

Fig. 11.Relation between total thickness and Snow depth. Both Snow and total thickness data are leg-averaged, and total thickness data are corrected using equation (1). The Solid line is a regression fit, giving the Snow depth as 0.168 times the total thickness, or Snow depth as 0.20 times the ice thickness.

Figure 12

Fig. 12.Interannual variability of total thickness and Snow depth in leg F9. Total thickness data are corrected by equation (1).