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Sea-ice conditions in the Adélie Depression, Antarctica, during besetment of the icebreaker RV Xuelong

Published online by Cambridge University Press:  26 July 2017

Mengxi Zhai
Affiliation:
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China E-mail: huifm@bnu.edu.cn, xcheng@bnu.edu.cn
Xinqing Li
Affiliation:
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China E-mail: huifm@bnu.edu.cn, xcheng@bnu.edu.cn College of Geomatics, Shandong University of Science and Technology, Qingdao, China
Fengming Hui
Affiliation:
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China E-mail: huifm@bnu.edu.cn, xcheng@bnu.edu.cn
Xiao Cheng
Affiliation:
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China E-mail: huifm@bnu.edu.cn, xcheng@bnu.edu.cn
Petra Heil
Affiliation:
Australian Antarctic Division and Antarctic Climate and Ecosystems Cooperative Research Centre, University of Tasmania, Hobart, Tasmania, Australia
Tiancheng Zhao
Affiliation:
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China E-mail: huifm@bnu.edu.cn, xcheng@bnu.edu.cn
Tianyu Jiang
Affiliation:
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China E-mail: huifm@bnu.edu.cn, xcheng@bnu.edu.cn
Cheng Cheng
Affiliation:
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China E-mail: huifm@bnu.edu.cn, xcheng@bnu.edu.cn
Tianyu Ci
Affiliation:
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China E-mail: huifm@bnu.edu.cn, xcheng@bnu.edu.cn
Yan Liu
Affiliation:
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China E-mail: huifm@bnu.edu.cn, xcheng@bnu.edu.cn
Zhaohui Chi
Affiliation:
Department of Geography, Texas A&M University, College Station, TX, USA
Jian Liu
Affiliation:
Polar Research Institute of China, Shanghai, China
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Abstract

During the 30th Chinese Antarctic Expedition in 2013/14, the Chinese icebreaker RV Xuelong answered a rescue call from the Russian RV Akademik Shokalskiy. While assisting the repatriation of personnel from the Russian vessel to the Australian RV Aurora Australis, RV Xuelong itself became entrapped within the compacted ice in the Adélie Depression region. Analysis of MODIS and SAR imagery provides a detailed description of the regional sea-ice conditions which led to the 6 day long besetment of RV Xuelong. The remotely sensed imagery revealed four stages of sea-ice characteristics during the entrapment: the gathering, compaction, dispersion and calving stages. Four factors characterizing the local sea-ice conditions during late December 2013 and early January 2014 were identified: surface component of the coastal current; near-surface wind; ocean tides; and surface air temperature. This study demonstrates that shipping activity in ice-invested waters should be underpinned by general knowledge of the ice situation. In addition, during such activity high spatiotemporal resolution remotely sensed data should be acquired regularly to monitor local and regional sea-ice changes with a view to avoiding the besetment of vessels.

Information

Type
Research Article
Copyright
Copyright © The Author(s) [year] 2015
Figure 0

Fig. 1. Overview of the region of interest based on a MODIS image from 2 January 2014, showing the positions of both entrapped vessels (red dots; vessel call signs are annotated). UBNF and BNSK represent RV Akademik Shokalskiy and RV Xuelong, respectively. The primary topographic features include the Adélie Depression (AD), Commonwealth Bay (CB), Watt Bay (WB), Buchanan Bay (BB) and the Mertz Depression (MD). Also shown are the ice edge as of 29 December 2013 (red line) and the outline of Mertz Glacier Tongue (green dotted line) prior to its calving.

Figure 1

Table 1. MODIS and RADARSAT-2 SAR imagery used to characterize the sea ice in the region of interest

Figure 2

Fig. 2. RADARSAT-2 SAR image on 6 January 2014 providing details of the ice conditions in the region of interest, including first-year ice (polygon within red line), and active shearing (yellow lines). Red dots show position of vessels, as in Fig. 1 . RADARSAT-2 Data and Products © MacDonald, Dettwiler and Associates Ltd (2014) - All Rights Reserved, and RADARSAT is an official mark of the Canadian Space Agency.

Figure 3

Fig. 3. Sea-ice edge changes during the gathering stage (RADAR-SAT-2, acquired on 29 December 2013). Also shown are the sea-ice edge on 20 December 2013 (red line) and 29 December 2013 (green line). Red dots show position of vessels, as in Fig. 1. RADARSAT-2 Data and Products © MacDonald, Dettwiler and Associates Ltd (2014) - All Rights Reserved, and RADARSAT is an official mark of the Canadian Space Agency.

Figure 4

Fig. 4. RADARSAT-2 SAR image from 6 January 2014 showing the sea-ice edge for 3 January (red line) and 6 January (yellow line) as well as the border of the fast-ice area (white line). The red frames are the locations of iceberg 1 on 3 January and 6 January. The green triangles 1, 2, 3 and 6 are the locations of iceberg 2 on 1, 2, 3 and 6 January, respectively. Red dots show position of vessels, as in Fig. 1.RADARSAT-2 Data and Products © MacDonald, Dettwiler and Associates Ltd (2014) - All Rights Reserved, and RADARSAT is an official mark of the Canadian Space Agency.

Figure 5

Fig. 5. Rapid changes in the ice edge and ice concentration, as seen from two consecutive MODIS images on (a) 6 January 2014 and (b) 7 January 2014. Also shown are the outer sea-ice edge (red lines), the zone delineating old from new sea ice (purple lines) and the zone delineating fast ice from first-year ice (yellow lines), and the open-water leads (blue lines). Red dots show position of vessels, as in Fig. 1 .

Figure 6

Fig. 6. Predictions of tidal elevation for Commonwealth Bay from 25 December 2013 to 7 January 2014.

Figure 7

Fig. 7. Wind speed and direction from AWS aboard RV Xuelong measured at 35 m height (a) from 27 December 2013 to 7 January 2014 and (b) from 6 to 7 January 2014. Wind direction is shown in bins 1, 2, 3, 4 to represent 0-90°, 90-180°, 180-270° and 270-360°, respectively.

Figure 8

Fig. 8. Surface air temperature from AWS aboard RV Xuelong from 27 December 2013 to 7 January 2014.